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| 1467 | Computer 1
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A Deep Learning-Based Tool for Analyzing the Female Reproductive System in MR images |
| Javad Khaghani1, Saqib Basar1, Yosef Chodakiewitz2, Sean London2, Rajpaul Attariwal1, and Sam Hashemi1 | ||
1Voxelwise Imaging Technology Inc., Vancouver, BC, Canada, 2Prenuvo, Vancouver, BC, Canada |
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Keywords: Uterus, Data Analysis MRI is a powerful imaging technique for examining the anatomy of the female reproductive system. However, due to cost-related concerns, ease of access, acquisition time, and necessity of expert reviewers for MR images, ultrasound is the primary modality of choice. To mitigate some of these concerns, we developed an AI-driven tool comprising seven neural networks that segments the regions of interest for the whole uterus, uterine zones, ovaries, and further identifies common benign gynecological conditions. We evaluated our package on a large representative population of 2955 sagittal T2-weighted pelvic scans to obtain normative aging-curves for various regions of interest. |
| 1468
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Computer 2
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Deep-learning based rectal tumor segmentation on multi-parametric MRI using pre-treatment and near-end-treatment data |
| Yang Zhang1,2, Liming Shi3, Xiaonan Sun3, Min-Ying Su2, Taoran Cui1, Ning J. Yue1, and Ke Nie1 | ||
1Department of Radiation Oncology, Rutgers-Cancer Institute of New Jersey, New Brunswick, NJ, United States, 2Department of Radiological Sciences, University of California, Irvine, CA, United States, 3Department of Radiation Oncology, Department of Radiation Oncology, Sir Run-run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China |
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Keywords: Cancer, Machine Learning/Artificial Intelligence In this study, the convolutional neural network (CNN) was implemented to segment the rectal cancer in 185 patients, with tumor ROI outlined by a radiologist on multiparametric magnetic resonance images (mp-MRI). The Dice similarity coefficient (DSC) and mean symmetrical surface distance (MSD) values were used to evaluate the results of the proposed algorithm. The mean DSC and MSD were 0.88 and 2.2 cm respectively for pre-treatment MR images. The transfer-learning model using paired pre-treatment and near-end-treatment images could also lead to acceptable result for boost volume segmentation with the mean DSC of 0.83 and MSD of 2.7 cm. Our work showed the deep-learning with combined image sequences was promising for automatic tumor localization and segmentation of locally advanced rectal cancer. After applying transfer learning with the prior information obtained from the pre-treatment images, the proposed method can be further used to identify boost volume for radiation dose escalation which has been demonstrated beneficial in improving pathological complete response rate. |
| 1469
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Computer 3
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Hyperpolarized 129Xe MRI ventilation textures predict short- and long-term response to Anti-IL-5Rα Biologic Therapy in Eosinophilic Asthma |
| Marrissa J McIntosh1,2, Maksym Sharma1,2, Harkiran K Kooner1,2, Hana Serajeddini2,3, Anurag Bhalla3, Cory Yamashita3, and Grace Parraga1,2,3,4 | ||
1Department of Medical Biophysics, Western University, London, ON, Canada, 2Robarts Research Institute, London, ON, Canada, 3Division of Respirology, Department of Medicine, Western University, London, ON, Canada, 4School of Biomedical Engineering, Western University, London, ON, Canada |
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Keywords: Lung, Hyperpolarized MR (Gas), asthma, biologic therapy It was previously shown that 129Xe MR ventilation images contain embedded texture features which help predict (before treatment was initiated) those severe asthma patients who were more likely to experience early response to anti-IL-5Rα biologic therapy. Thus, we postulated that such texture features would also help identify patients with an enduring, late response. Here we identified specific 129Xe MRI features that predicted both early and late response to anti-IL-5 therapy, which were superior to clinical measurements. These promising results suggest that 129Xe MRI texture features sensitively predict patients with response to biologic therapy interventions. |
| 1470 | Computer 4
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Delta-Radiomic Based on Dynamic Contrast Enhanced MRI Predicts axillary Response after neoadjuvant chemotherapy in breast cancer patients |
| Shasha Liu1, Siyao DU1, Si Gao1, Lizhi Xie2, Yuee Teng3, Feng Jin4, and Lina Zhang1 | ||
1Department of Radiology, The First Hospital of China Medical University, shenyang, China, 2MR Research, GE Healthcare, Beijing, China, 3Departments of Medical Oncology and Thoracic Surgery, The First Hospital of China Medical University, shenyang, China, 4Department of Breast Surgery, The First Hospital of China Medical University, shenyang, China |
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Keywords: Breast, Radiomics, DCE-MRI This prospective study with multiple follow-up time points investigated the early predictive value of the delta-radiomic model of axillary lymph node (ALN) using dynamic contrast-enhanced (DCE) MRI for axillary pathological complete response (pCR) in breast cancer patients after neoadjuvant chemotherapy (NAC). The results indicated that the delta-radiomic model based on early changes of ALN features performed better among all radiomic models. Moreover, when combined with clinical features, the combined model achieved the best diagnostic performance of any model we tested. The delta-radiomic + clinical model may be a promising method for ALN pCR prediction in the initial phase of NAC. |
| 1471 | Computer 5
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Deep Learning Strategy to Quantify Whole Prostate and Zonal Volumes, Trends in Aging and Detection of Benign Prostatic Hyperplasia |
| Javad Khaghani1, Lucas Porto2, Saurabh Garg1, Saqib Basar1, Yosef Chodakiewitz3, Sean London3, Rajpaul Attariwal1, and Sam Hashemi1 | ||
1Voxelwise Imaging Technology Inc., Vancouver, BC, Canada, 2Voxelwise Imaging Technology Inc., San Francisco, CA, United States, 3Prenuvo, Vancouver, BC, Canada |
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Keywords: Prostate, Data Analysis, Artificial Intelligence/ Machine Learning AI-assisted prostate whole-gland and zonal volume quantification enable quantitative reproducibility and enhance read-time efficiency. Our whole-gland AI-segmentation solution enhanced measurement accuracy by 23.59%, compared with traditional volume estimates. Zonal solution enabled us to generate population normative aging-curves and we used a shallow classifier to identify patients with BPH. Our findings show the transitional zone grows 2.05 ml and 3.58 ml per decade for the entire population and patients with BPH, respectively, while peripheral zone grows 0.70 ml per decade. Further, the transitional and peripheral zones grow 2.43 and 1.4 times their size over lifetime. |
| 1472 | Computer 6
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Integration of Slice-Based Diagnostic Probabilities Predicted by 2D Deep Learning Using ResNet50 to Yield Lesion-Based Diagnosis in Breast MRI |
| Yang Zhang1,2, Jiejie Zhou3, Zhongwei Chen3, You-Fan Zhao3, Meihao Wang3, Yan-Lin Liu2, Jeon-Hor Chen2, Ke Nie1, and Min-Ying Su2 | ||
1Department of Radiation Oncology, Rutgers-Cancer Institute of New Jersey, New Brunswick, NJ, United States, 2Department of Radiological Sciences, University of California, Irvine, CA, United States, 3Department of Radiology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China |
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Keywords: Cancer, Machine Learning/Artificial Intelligence A deep learning model using 2D ResNet50 CNN was trained to differentiate a dataset of 103 malignant vs 73 benign breast lesions, then tested in a testing dataset of 53 malignant and 31 benign cases. The 2D slice-based results were used to calculate a probability for each lesion, by using 5 methods: (1) slice-based average, (2) tumor area weighted average, (3) tumor perimeter weighted average, (4) using the probability of the largest tumor slice, (5) using the highest probability among all slices. The results showed using the highest probability to convert from slice-based to lesion-based diagnosis had the best performance. |
| 1473 | Computer 7
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Deep Learning Reconstruction to Pelvis Multi-Shot DWI Improved Image Quality with Less Image Distortion: A Preliminary Study |
| Elaine Yuen Phin Lee1, Chia-Wei Li2, Patricia Lan3, Xinzeng Wang4, Arnaud Guidon5, and Chien-Yuan Lin2 | ||
1Department of Diagnostic Radiology, Queen Mary Hospital, The University of Hong Kong, Hong Kong SAR, China, 2GE Healthcare, Taipei, Taiwan, 3GE Healthcare, Menlo Park, CA, United States, 4GE Healthcare, Houston, TX, United States, 5GE Healthcare, Boston, MA, United States |
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Keywords: Pelvis, Machine Learning/Artificial Intelligence, Deep learning reconstruction, Multi-shot DWI This study introduced the deep learning reconstruction (DLRecon) to multi-shot DWI (MUSE-DWI) in the pelvis and aimed to investigate the changes in SNR and image quality with MUSE-DWI DLRecon. Compared with the MUSE-DWI non-DLRecon, the MUSE-DWI DLRecon showed higher SNR with stable ADC quantification. With that, DLRecon could reduce image distortion using higher shots MUSE-DWI with comparable SNR and scan time to clinically used 2-shot MUSE-DWI. This preliminary result showed the potential power of DLRecon in the pelvis allowing higher shots MUSE-DWI to be integrated in clinical practice to reduce image distortion. |
| 1474 | Computer 8
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Predictive Model for Breast Lesion Assessment Using Restriction Spectrum Imaging |
| Stephane Loubrie1, Ana Rodriguez-Soto1, Tyler Seibert1,2,3, Michael Hahn1, Vandana Dialani4,5, Catherine Wei6, Zahra Karimi4, Joshua Kuperman1, Anders Dale1,7, Etta Pisano4,8, Jingjing Zou9, and Rebecca Rakow-Penner1,3 | ||
1Radiology, University of California, San Diego, San Diego, CA, United States, 2Radiation medicine, University of California, San Diego, San Diego, CA, United States, 3Bioengineering, University of California, San Diego, San Diego, CA, United States, 4Radiology, Beth Israel Hospital, Boston, MA, United States, 5Harvard Medical School, Boston, MA, United States, 6Commonwealth Radiology Associates, Boston, MA, United States, 7Neurosciences, University of California, San Diego, San Diego, CA, United States, 8American College of Radiology, Reston, VA, United States, 9Biostatistics, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, San Diego, CA, United States |
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Keywords: Breast, Diffusion/other diffusion imaging techniques Diffusion weighted imaging (DWI) holds great potential in improving specificity of findings detected on contrast enhanced breast MRI. Restriction spectrum imaging (RSI), an advanced diffusion imaging model, has potential in discriminating between malignant and fibroglandular breast tissue. In this abstract, we evaluate RSI’s performance, combined with a random forest model, in differentiating lesions requiring biopsies from lesions that do not. The model showed significant preliminary results. |
| 1475 | Computer 9
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Multi-task deep learning with triplet uncertainty for segmentation and microvascular invasion prediction of hepatocellular carcinoma |
| Yanyan Xie1, shangxuan Li1, Baoer Liu2, Yikai Xu2, and Wu Zhou1 | ||
1School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, China, 2Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China |
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Keywords: Liver, Machine Learning/Artificial Intelligence Multi-task learning has been widely used for jointly tumor segmentation and classification. Uncertainty estimation of the subtask weight coefficient in multi-task learning has been investigated. However, due to the presence of noise in medical image, data uncertainty will affect the performance of multi-task learning. In addition, model uncertainty has not been conducted for multi-task learning. In this work, we propose a triplet-uncertainty in multi-task deep learning network (TU-MTL), simultaneously considering the uncertainty estimation of subtask weight coefficient, data uncertainty estimation and model uncertainty estimation. Experimental results of clinical hepatocellular carcinoma (HCC) demonstrate the effectiveness of the proposed method. |
| 1476 | Computer 10
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Improved differentiation of BI-RADS 4 breast lesions based on ultrafast dynamic contrast-enhanced MRI radiomics and artificial neural network |
| Lingsong Meng1, Xin Zhao1, Jinxia Guo2, Lin Lu1, Meiying Cheng1, Qingna Xing1, Honglei Shang1, Yan Chen1, Penghua Zhang1, and Xiaoan Zhang1 | ||
1The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2General Electric (GE) Healthcare, MR Research China, Beijing, Beijing, China |
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Keywords: Breast, Radiomics Improving the assessment of Breast Imaging Reporting and Data System (BI-RADS) 4 lesions can avoid unnecessary biopsies. As an emerging field, radiomics has been successfully explored as a means to aid decision-making for the diagnosis and risk stratification of several kinds of cancers1-4. In this study, we combined radiomics features extracted from ultrafast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) (using the Differential sub-sampling with cartesian ordering (DISCO) technique) with an artificial neural network (ANN) to improve diagnostic performance in assessing BI-RADS 4 lesions and evaluate the potential to avoid unnecessary biopsies. |
| 1477 | Computer 11
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Assessment of Breast Cancer Molecular Subtypes with a mMRI-based Feature Fusion Radiomics Model: Mimicking Radiologists’ Diagnostic Approach |
| Wanli Zhang1,2, Fangrong Liang1,2, Jiamin Li1,2, Yongzhou Xu3, Aaron Zhang3, Xinqing Jiang1,2, Xin Zhen4, and Ruimeng Yang1,2 | ||
1Department of Radiology, The Second Affifiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, China, 2Department of Radiology, Guangzhou First People’s Hospital, Guangzhou, China, 3Philips Healthcare, Guangzhou, China, 4School of Biomedical Engineering, Southern Medical University, Guangzhou, China |
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Keywords: Breast, Radiomics, breast cancer, molecular receptor status, feature fusion Since breast cancer is a highly heterogeneous tumor, prognosis and treatment response differ significantly according to different molecular subtypes. Based on multiparametric magnetic resonance imaging (MRI), we developed a feature fusion radiomics (RFF) model and investigated its performance in identifying the molecular receptor status of breast cancer. Mimicking the diagnostic approach of the radiologists by integrating image information from different MR sequences, the RFF model outperformed any single MRI-based radiomics model, demonstrating its potential for molecular subtypes classification of breast tumors. |
| 1478 | Computer 12
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Automated Segmentation of Metastatic Lymph Nodes in FDG PET/MRI for Lymphoma Cancer Patients Using Multi-Scale Swin Transformers |
| Anum Masood1,2, Sølvi Knapstad2, Håkon Johansen3, Trine Husby3, Live Eikenes 1, Mattijs Elschot 1,3, and Pål Erik Goa2,3 | ||
1Department of Circulation and Medical Imaging, NTNU, Trondheim, Norway, 2Department of Physics, NTNU, Trondheim, Norway, 3Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway |
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Keywords: Machine Learning/Artificial Intelligence, PET/MR, Automated Segmentation, Deep Learning, Transformers Automated segmentation of tumors and designing a computer-assisted diagnosis system requires co-learning of imaging features from the complementary PET/MRI. We aim to develop an automated method for the segmentation of cancer-affected lymph nodes on Positron Emission Tomography/Magnetic Resonance Imaging (PET/MRI) using a modified Swin Transformer model (ST) integrated with a novel Multi-Scale Feature Fusion & Reorganization Module (MSFFRM). Our results with Hodgkin lymphoma (HL) and Non-Hodgkin lymphoma subtype Diffuse Large B-Cell Lymphoma (DLBCL) datasets show that our proposed model ST-MSFFRM achieved better performance in lesion segmentation in comparison to other state-of-the-art segmentation methods. |
| 1479 | Computer 13
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Multi-parametric radiomics of MRI for preoperative assessment of microvascular invasion and prognosis of hepatocellular carcinoma |
| Lili Wang1, Junqiang Lei1, Junfeng Li2, Shunlin Guo2, Gang Wang2, and Rui Wang3 | ||
1Radiology, First Hospital of Lanzhou University, Lanzhou, China, 2First Hospital of Lanzhou University, Lanzhou, China, 3First Clinical Medical School of Lanzhou University, Lanzhou, Chile |
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Keywords: Liver, Radiomics To preoperatively predict MVI in HCC patients, this study developed and validated an MVI nomogram prediction model that reveals the features derived from tumor and peritumor tissue of different sequences in Gd-EOB-DTPA dynamic contrast-enhanced MR and combines the clinical and radiological signatures. The nomogram included AFP, capsule appearance, arterial peritumoral enhancement, RVI, and radiomics score, which were independent risk factors for MVI. Finally, this nomogram model achieved satisfactory performance in predicting MVI in both the training and validation cohorts. Moreover, the RFS of the nomogram model was similar to the histopathology outcome. |
| 1480 | Computer 14
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Non-invasively and Pre-Operatively Evaluate the Micro-Vascular Invasion with Susceptibility-Weighted Imaging based Radiomics Strategy |
| Zhijun Geng1, Yunfei Zhang2, Yongming Dai2, and Chuanmiao Xie1 | ||
1Sun Yat-sen University Cancer Center, Guangzhou, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Liver, Radiomics, Micro-Vascular Invasion MVI has widely been considered as an important prognostic biomarker of hepatocellular carcinoma (HCC). This study aims to non-invasively identify MVI in HCC with susceptibility-weighted-imaging (SWI)-derived radiomics. The results indicated that SWI-derived radiomics are valuable for noninvasively and accurately identifying the MVI status of HCC. Furthermore, the integration of radiomics and clinical factors yielded a predictive nomogram with satisfying diagnostic performance and potential clinical benefits. |
| 1481 | Computer 15
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Development and validation of an MRI-based radiomics nomogram for evaluation of chronic outcome in drug-induced liver injury |
| Zhehan Shen1, Ruokun Li1, and Fuhua Yan1 | ||
1Radiology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, China |
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Keywords: Liver, Radiomics, drug-induced liver injury Drug-induced liver injury (DILI) occurs in a small fraction of individuals exposed to drugs, herbs or dietary supplements. DILI is challenging because of the lack of biomarkers to predict chronic outcomes. In our study, we developed a radiomics model with excellent performance for prediction of chronic outcome based on MRI and clinical data. Decision curve analysis confirmed the clinical utility of the radiomics model. This model may be used to stratify DILI patients at high risk of chronic outcome. |
| 1482 | Computer 16
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Additional value of T2 mapping and texture analysis for the improvement to MR elastography based liver fibrosis Machine Learing classification |
| Diana Bencikova1, Sarah Poetter-Lang1, Marcus Raudner1, Martin Krššák2, Siegfried Trattnig1,3, and Ahmed Ba-Ssalamah1 | ||
1Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Vienna, Austria, 2Division of Endocrinology and Metabolism, Department of Medicine III, Medical University Vienna, Vienna, Austria, 3Christian Doppler Laboratory for Clinical Molecular Imaging, Vienna, Austria |
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Keywords: Liver, Machine Learning/Artificial Intelligence, Elastography, MR Value, Radiomics, Relaxometry MR elastography is currently the most accurate non-invasive diagnostic method for liver fibrosis. However, other pathologic processes co-existing with liver fibrosis influence the stiffness measurement and including other MR-based measures might improve fibrosis assessment. In this work we suggest to add texture analysis features calculated on liver T2 maps together with T2 values from fast radial turbo-spin-echo sequence into a machine-learning classification model and to compare the performance of the model after adding selected parameters. Our results show that including both, texture analysis and T2 values significantly improves the classification performance of the model. |
| 1483 | Computer 17
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Multiparametric MRI–based Radiomics Analysis of Endometrial Carcinoma for Preoperative Risk stratification |
| Bai min1 | ||
1Radiology, Liaocheng People's Hospital, Liao'cheng, China |
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Keywords: Uterus, Radiomics Preoperative risk stratification of endometrial cancer (EC) is one of the important prognostic factors and is crucial for clinical treatment planning. We aimed to evaluate the predictive value of radiomics features based on multiparameter magnetic resonance imaging (MP-MRI) for preoperative risk stratification in patients with EC. The clinical and radiomic combined predictive models has a better performance than the model based on clinical characteristics. In the training set and the test set, the IDI and he reclassification improvement index of combined predictive models is higher than that of clinical model. |
| 1484 | Computer 18
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Multi-parametric MRI-based Peritumoral Radiomics for Stage IIA and IIB Classification of Cervical Cancer：A Multicenter Study |
| Jin Fang1, Xiao Zhang2, Xiaoyun Liang2, Feng Huang2, and Shuixing Zhang1 | ||
1The First Affiliated Hospital of Jinan University, Guangzhou, China, 2Neusoft Medical Systems Co, Shanghai, China |
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Keywords: Uterus, Radiomics Appropriate management and treatment decisions for cervical cancer depend on accurate staging, but the differentiation between IIA and IIB by imaging assessment remains difficult. This retrospective study investigated the performance of intratumoral and peritumoral multi-parameter MRI texture information in differentiating IIA and IIB using non-invasive radiomics analysis, which was also compared with clinical factors and imaging assessment by radiologists. Among all the comparisons, peritumoral-based radiomics models outperformed the radiologists and performed the best. This study offers a viable approach in non-invasively and accurately differentiating IIA and IIB for cervical cancer based on peritumoral texture information. |
| 1485 | Computer 19
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Automated Segmentation of Multi-Vendor Kidney Images using an Iteratively Trained Convolutional Neural Network |
| Alexander J Daniel1, Eleanor F Cox1, Rachael A Evans2, Louise V Wain2, Christopher Brightling2, Elizabeth Tunnicliffe3,4, Stefan Neubauer3,4, Betty Raman3,4, and Susan T Francis1 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2Institute for Lung Health, Leicester NIHR Biomedical Research Centre, University of Leicester, Leicester, United Kingdom, 3Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford University, Oxford, United Kingdom, 4Oxford University Hospitals NHS Foundation Trust, Oxford University, Oxford, United Kingdom |
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Keywords: Kidney, Segmentation Measures of total kidney volume (TKV) help to evaluate disease progression, and masks to define the kidney are important for the automatic assessment of multiparametric images collected in the same data space. For accurate measures in multicentre studies an automated method which is vendor agnostic and robust against image artefacts is needed. Here a single-vendor convolutional neural network is retrained and shown to be accurate on two vendors of scanner and robust against image artefacts associated with wrapping in the phase-encode direction. |
| 1486 | Computer 20
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Influential factors in deep learning classification of clear cell renal carcinoma cancer |
| Junyu Guo1, Keith Hulsey1, Yin Xi1, and Ivan Pedrosa1 | ||
1Radiology, UT Southwestern Medical Center, Dallas, TX, United States |
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Keywords: Kidney, Machine Learning/Artificial Intelligence Deep learning has been successful in predicting tumor malignancy. Clear cell renal carcinoma (ccRCC) diagnosis may help in decision making between active surveillance and definitive intervention. In this study, we investigate the effects of different factors on the performance of deep learning classification of ccRCC using T2w images. We demonstrate that the performance of 15 different CNN models varied substantially. The choice of CNN models, the cropped image size, and the type of inputs greatly altered the performance of ccRCC classification. We achieved the best AUC value of 0.81, which is close to the reported performance of radiologists. |
| 1487 | Computer 21
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Assessment of IVIM-DKI for characterization of benign and malignant lymph nodes in lymphoma |
| Archana Vadiraj Malagi1,2, Devasenathipathy Kandasamy3, Deepam Pushpam4, Kedar Khare5, Raju Sharma3, Rakesh Kumar6, Sameer Bakhshi4, and Amit Mehndiratta1,7 | ||
1Centre for Biomedical Engineering, Indian Institute of Technology Delhi (IIT Delhi), New Delhi, India, 2Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 3Department of Radiodiagnosis, All India Institute of Medical Sciences Delhi, New Delhi, India, 4Department of Medical Oncology, Dr. B.R. Ambedkar Institute-Rotary Cancer Hospital (IRCH), All India Institute of Medical Sciences Delhi, New Delhi, India, 5Department of Physics, Indian Institute of Technology Delhi (IIT Delhi), New Delhi, India, 6Department of Nuclear Medicine, All India Institute of Medical Sciences Delhi, New Delhi, India, 7Department of Biomedical Engineering, All India Institute of Medical Sciences Delhi, New Delhi, India |
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Keywords: Cancer, Diffusion/other diffusion imaging techniques Intravoxel Incoherent motion-diffusion kurtosis imaging (IVIM-DKI) was used for evaluation and characterization of malignant lymph nodes in lymphoma. A total of twenty-one (n=21) patients diagnosed with biopsy proven Hodgkin lymphoma(HL: n=13) or non-Hodgkin lymphoma(NHL: n=8) were prospectively evaluated. IVIM-DKI parameters were estimated using standard IVIM-DKI model (standard model) and IVIM-DKI model with total variation(TV) penalty function method(IDTV model). Perfusion fraction (f) and kurtosis (k) estimated using IDTV model, and apparent diffusion coefficient(ADC) were significantly(p<0.05) lower in malignant lymph nodes than benign lymph nodes. f and k showed high AUC of 0.88 and 0.83, respectively for malignant vs. benign lymph nodes. |
| 1488 | Computer 22
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31P and 1H MRS for in vivo metabolic profiling of diffuse large B-cell lymphoma |
| Katharina J Wenger1,2,3,4, Seyma Alcicek1,2,3, Ulrich Pilatus1, Dennis C Thomas1,2,3, Elke Hattingen1,2,3,4, Florian Buettner4, Andreas Loth5, and Thomas Oellerich2,3,4,6 | ||
1Institute of Neuroradiology, University Hospital Frankfurt, Frankfurt am Main, Germany, 2University Cancer Center Frankfurt (UCT), Frankfurt am Main, Germany, 3Frankfurt Cancer Institute (FCI), Frankfurt am Main, Germany, 4German Cancer Research Center (DKFZ) Heidelberg, Germany and German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, Frankfurt am Main, Germany, 5Department of Oto-Rhino-Laryngology, University Hospital Frankfurt, Frankfurt am Main, Germany, 6Department of Hematology/Oncology, University Hospital Frankfurt, Frankfurt am Main, Germany |
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Keywords: Cancer, Tumor, lymphoma, multiomics, MR-Spectroscopy With the presented protocol, key metabolites related to different metabolic profiles of aggressive lymphomas (such as lactate, alanine, as a surrogate for pyruvate, as well as choline components) can be detected in vivo in a clinical setting. |
| 1489 | Computer 23
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Using D2O-Induced 2H labeling, Deuterium MRI at 1.5T Enables In Vivo Visualization of Body Tissues and Early Assessment of Anticancer Therapies |
| Abdelazim Elsayed Elhelaly1,2, Fuminori Hyodo1, Yoshifumi Noda3, Hiroki Kato3, Koki Ichihashi4, Hiroyuki Tomita4, and Masayuki Matsuo3 | ||
1Department of Radiology, Frontier Science for Imaging, Gifu University, Gifu, Japan, 2Department of Food Hygiene and Control, , Faculty of Veterinary Medicine, Suez Canal University, Ismailia, Egypt, 3Department of Radiology, School of Medicine, Gifu University, Gifu, Japan, 4Department of Tumor Pathology, Gifu University Graduate School of Medicine, Gifu University, Gifu, Japan |
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Keywords: Cancer, Deuterium, deuterium MR imaging DMI emerged as a promising alternative in cancer metabolic imaging. We D2O-induced 2H-labeling followed by DMI to study deuterium kinetics and track tumor response to treatment at 1.5T. We succeeded to use dMRI to monitor 2H kinetics in tissues of a pancreatic carcinoma model. Higher 2H build-up was observed in tumor. Treated mice showed a significant decrease in 2H in tumor during 7 days of treatment and before anatomical changes were detectable. Tumor homogenates of treated mice also showed a significant reduction in 13C lactate production. DMI of tumors is a potential imaging method for assessment of early treatment responses |
| 1490 | Computer 24
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Quantification of Acute and Chronic Fibrosis in Gynecologic and Prostate Cancer over the course of Radiotherapy |
| Khadija Sheikh1, Akila N Viswanathan1, Daniel Y Song1, Junichi Tokuda2, Junghoon Lee1, Michael Jerosch-Herold2, Mindy K Graham1, Ravi Seethamraju3, Thomas Benkert4, Himanshu Bhat5, Bruce L Daniels6, and Ehud J Schmidt1,7 | ||
1Radiation Oncology and Molecular Sciences, Johns Hopkins University School of Medicine, Washington, DC, United States, 2Radiology, Brigham and Women’s Hospital, Boston, MA, United States, 3Siemens Medical Solutions, Boston, MA, United States, 4MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 5Siemens Healthineers, Boston, MA, United States, 6Radiology, Stanford University, Stanford, CA, United States, 7Medicine (Cardiology), Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Keywords: Pelvis, Radiotherapy, acute and chronic fibrosis We developed means to quantify the volume and voxel-wise fraction of acute (FA) and chronic fibrosis (FC) present during and following radiation therapy (RT), using non-contrast and contrast enhanced stack-of-spirals IR-UTE scans. Imaging was performed in gynecologic and prostate cancer patients at multiple time points in relation to RT (pre-RT, on-RT, post-RT, and post-3 months RT). This study provides mm-resolution quantitative information on fibrosis changes during the course of RT based on MRI. Increases in FA, followed by subsequent-time FC increases were observed in both prostate and gynecologic cancer patients. |
| 1491 | Computer 25
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Early monitoring of radiation treatment based on tumor redox status using in vivo dynamic nuclear polarization MRI |
| Fuminori Hyodo1, Norikazu Koyasu1, Ryota Iwasaki1, Hinako Eto2, Abdelazim Elsayed Elhelaly1, Hiroyuki Tomita1, Takashi Elsayed Mori1, Masaharu Murata2, Yoshifumi Noda1, Hiroki Kato1, and Masayuki Matsuo1 | ||
1Gifu University, Gifu, Japan, 2Kyushu University, Fukuoka, Japan |
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Keywords: Cancer, Hyperpolarized MR (Non-Gas), redox, DNP MRI, radiation In vivo dynamic nuclear polarization-MRI (DNP-MRI, also called OMRI, PEDRI) using carbamoyl-PROXYL(CmP) as a redox sensitive DNP probe enables the accurate monitoring of the tissue redox status. We found that the redox status decreases 1 day after radiation treatment, and the decay of redox status occurs before any micro- or macroscopic changes in tumor morphology and pyruvate metabolism based on the Warburg effect. This decay of redox status can also be associated with the decreased production of intratumor reducing redox molecules such as GSH and AsA. |
| 1492 | Computer 26
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A pH-sensitizer can improve cancer immunotherapy treatment as monitored with acidoCEST MRI |
| Renee L Chin1,2, Jorge de la Cerda1, F William Schuler3, Sanhita Sinharay4, and Mark D Pagel1 | ||
1Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, TX, United States, 2Immunology, MD Anderson Cancer Center, Houston, TX, United States, 3Cancer Systems Imaging, MD Anderson Cancer Center, Houston, TX, United States, 4Center for Biosystems Science and Engineering, Indian Institute of Science, Bangalore, India |
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Keywords: Cancer, CEST & MT, immunotherapy Tumor acidosis causes resistance to immune checkpoint blockade (ICB) immunotherapy. We have identified a “pH-sensitizer” that increases the extracellular pH of the tumor microenvironment, improving immunogenicity and tumor control with ICB. AcidoCEST MRI can measure the extracellular pH of the tumor microenvironment. We used acidoCEST MRI to correlate the increase in tumor pHe immediately caused by the pH-senstizer with the tumor volume at study endpoint, in a pre-clinical model of breast cancer. These results show that acidoCEST MRI can contribute to predicting the outcome of immunotherapy. |
| 1493 | Computer 27
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MRI assessment of abscopal effect enhanced by immune checkpoint blockade |
| Kota Yamashita1, Kazumasa Horie1, Kazutoshi Yamamoto1, Jeffery R. Brender1, Nallathamby Devasahayam1, Murali C. Krishna1, and Shun Kishimoto1 | ||
1National Cancer Institute, Bethesda, MD, United States |
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Keywords: Cancer, DSC & DCE Perfusion Radiation therapy (RT) on primary tumor rarely induces regression of non-irradiated metastatic lesions (abscopal effect), which is reported to be enhanced by immune-checkpoint blockade. In this study, we examined the physiological changes induced by abscopal effect using MRI-based imaging modalities such as EPR oximetry, DCE MRI, and 13C DNP MRI. Hypoxic fraction < 10 mmHg (HF10), permeability, perfusion, and CD8+ T cell infiltration in metastatic tumor increased after the combination of RT and PD-1 blockade. Interestingly, higher permeability/perfusion and lower HF10 in primary tumor before the treatment were associated with slower growth of the metastatic tumor after the treatment. |
| 1494 | Computer 28
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Preoperative assessment of vessels encapsulating tumor clusters (VETC) in hepatocellular carcinoma using IVIM diffusion-weighted imaging |
| Chenhui Li1, Jinhuan Xie1, Liling Long1, Huiting Zhang2, and Yang Song2 | ||
1The First Affiliated Hospital of Guangxi Medical University, Nanning, China, 2MR Scientific Marketing, Siemens Healthineers, Shanghai, China |
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Keywords: Cancer, Liver Vessels encapsulating tumor clusters (VETC) is a powerful predictor of a poor prognosis in patients with hepatocellular carcinoma (HCC) .Therefore, preoperative radiologic prediction of these histopathological results can allow optimized management of HCC and help improve long-term survival for patients.However,to our knowledge, no published studies have investigated preoperative VETC patten of HCC using IVIM parameters and comparing with DWI. Our study indicated that IVIM-derived D* provides a non-invasive analytical approach for preoperative predicting VETC of HCC.ADC value were not predictive for VETC. |
| 1495 | Computer 29
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Texture Analysis of Diffusion Kurtosis Imaging for Predicting Early Recurrence of Hepatocellular Carcinoma After Hepatectomy |
| Yue Wang1, Ying Zhao1, and Ailian Liu1 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Cancer, fMRI The global incidence and mortality of hepatocellular carcinoma (HCC) are high [1]. Although radical resection of HCC is the most effective treatment, the postoperative recurrence rate is high. Diffusion kurtosis imaging (DKI) is based on the non-Gaussian diffusion motion of water molecules, which can quantitatively reflect the characteristics of lesions from the perspective of diffusion and heterogeneity[2]. Texture analysis provides information about tissue complexity and heterogeneity based on mathematical methods. This study showed that DKI-based entire-tumor texture analysis could assist in prediction of the early recurrence of HCC patients after hepatectomy, which was beneficial to improve the prognosis. |
| 1496 | Computer 30
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Clinical assessment of noise corrected exponentially weighted diffusion weighted MRI (niceDWI) for imaging patients with metastatic melanoma |
| Annemarie Knill1,2, Matthew Blackledge1, Jessica Winfield1,2, Hannah Barnsley2, Benjamin Malawo2, Georgina Hopkinson2, Dow-Mu Koh1,2, Samuel Withey2, and Christina Messiou1,2 | ||
1The Institute of Cancer Research, London, United Kingdom, 2The Royal Marsden NHS Foundation Trust, London, United Kingdom |
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Keywords: Cancer, Diffusion/other diffusion imaging techniques Systematic clinical validation of noise-corrected, exponentially-weighted, diffusion-weighted MRI (niceDWI) is performed in metastatic melanoma including soft tissue disease. Previous assessments of niceDWI demonstrated improvement in the in-plane bias field. No clinical advantage is found over clinical DWI: the signal-to-noise ratio was assessed as significantly worse in niceDWI both quantitatively and by an experienced reader; there was no difference demonstrated in the contrast-to-noise ratio (CNR) of bone or nodal lesions; when soft tissue disease is included CNR is significantly worse on niceDWI. It is recommended that future evaluations of niceDWI assess the maximum intensity projection for use as a survey tool. |
| 1497 | Computer 31
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Detecting cancer immunotherapy response in ccRCC patients from 1H MRS of plasma |
| Raj Kumar Sharma1, Michael T. McMahon2, Meiyappan Solaiyappan1, Yasser Ged3, and Zaver M Bhujwalla1 | ||
1Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, JOHNS HOPKINS UNIVERSITY, SCHOOL OF MEDICINE, BALTIMORE, MD, United States, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, JOHNS HOPKINS UNIVERSITY, SCHOOL OF MEDICINE, Baltimore, MD, United States, 3Genitourinary Oncology, Sidney Kimmel Comprehensive Cancer Center, JOHNS HOPKINS UNIVERSITY, SCHOOL OF MEDICINE, Baltimore, MD, United States |
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Keywords: Cancer, Metabolism, Clear Cell Renal Cell Carcinoma , Cancer , 1H MR metabolomics A minimally invasive, blood-based assay to predict and detect response to immune-checkpoint inhibitors (ICIs) would be of significant importance. 1H MRS of plasma samples provides a robust reproducible assay that require minimal sample preparation, and convenience of sample storage. Here we evaluated changes in plasma metabolites of clear cell renal cell carcinoma (ccRCC) patients receiving ICIs using 1H MRS. We identified a significant increase of acetate, formate, glutamine, glycine, myoinositol, and lactate following ICI that may reflect response. |
| 1498 | Computer 32
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The effect of cardiac gating on the repeatability of quantitative renal diffusion MRI |
| Nima Gilani1, Artem Mikheev1, Inge Manuela Brinkmann2, Dibash Basukala1, Thomas Benkert3, Malika Kumbella1, James S. Babb1, Hersh Chandarana1, and Eric E. Sigmund1 | ||
1Department of Radiology, NYU Langone Health, New York, NY, United States, 2Siemens Medical Solutions USA Inc., New York, NY, United States, 3Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: Kidney, Diffusion/other diffusion imaging techniques The effect of cardiac gating on quantitative diffusion weighted magnetic resonance imaging of the kidney was investigated using an advanced cardiac triggered diffusion-weighted imaging sequence which allows the acquisition and estimation of diffusion tensor imaging and intra-voxel incoherent motion parameters. Cardiac gating significantly influences the repeatability of IVIM parameters that reflect flow of blood and fluids in the kidney and allow interpretations of renal function. |
| 1499 | Computer 33
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Evaluation of Amide Proton Transfer Imaging for Bladder Cancer Histopathologic Features: A Comparative Study with Diffusion- Weighted Imaging |
| Fang Wang1, Yong-Sheng Xiang1, Peng Wu2, Ai-Jun Shen1, and Pei-Jun Wang1 | ||
1Tongji Hospital, School of Medicine, Tongji University, Shanghai, China, 2Philips Healthcare, Shanghai, China |
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Keywords: Urogenital, Bladder Amide proton transfer (APT) imaging is an emerging chemical exchange saturation transfer (CEST)-based MRI technique that is sensitive to mobile proteins and peptides in tissue and has drawn considerable attention in the field of cellular and molecular imaging.In the present work, our result demonstrates that APT imaging can predict tumor grade and muscular invasion in bladder cancer, the diagnostic performance for evaluating muscular invasion is better than that of diffusion-weighted imaging (DWI) and adding APT imaging to DWI significantly improved the diagnostic accuracy for evaluating muscular invasion versus DWI alone, thus opening new research avenues in this field. |
| 1500 | Computer 34
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Characterizing pathological grade and histological variant of bladder urothelial carcinoma with a continuous-time random walk diffusion model |
| Wei Wang1, Ke Xue2, Yongming Dai2, and Jianxing Qiu1 | ||
1Department of Radiology, Peking University First Hospital, Beijing, China, 2MR Collaboration, Central Research Institute, Shanghai United Imaging Healthcare, Shanghai, China |
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Keywords: Urogenital, Diffusion/other diffusion imaging techniques Accurately determining the histologic grade and variant status is essential. In this study, the diagnostic value of the CTRW model in characterizing histological grade or histological variants was evaluated and compared with ADC. The optimal diagnostic performance of CTRW diffusion model suggested it could provide more diagnostic value than conventional ADC not only for pathological grading but also for histological variant of bladder urothelial carcinoma. |
| 1501 | Computer 35
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Models based on diffusion-weighted imaging in tumor staging and histologic grading of bladder cancer: A comparison study |
| Cong You1, Yujiao Zhao2, Cheng Zhang1, Mengyao Chen1, Jinxia Zhu3, Feifei Qu3, Thomas Benkert4, Robert Grimm4, and Wen Shen2 | ||
1The First Central Clinical School, Tianjin Medical University, Tianjin, China, 2Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China, 3MR Collaboration, Siemens Healthineers Ltd., Beijing, China, 4MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: Urogenital, Diffusion/other diffusion imaging techniques, bladder cancer; diffusion-weighted imaging; monoexponential model;intravoxel incoherence motion;diffusion kurtosis imaging This comparative study aimed to investigate the ability of Gaussian distribution models, including monoexponential model (MEM) and intravoxel incoherence motion (IVIM), and non-Gaussian diffusion kurtosis models to differentiate the pathologic stages and histologic grades of bladder cancer. The results indicated that the diffusion kurtosis imaging (DKI) parameters had the highest diagnostic performance. The mean kurtosis (MK) value among individual parameters and the combination of MK and mean diffusivity (MD) among combined values had the largest area under the curves. Also, the MK values were most strongly correlated with the Ki-67 labeling index. |
| 1502 | Computer 36
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Evaluation of Diffusion Kurtosis Imaging in Predicton of Tumor Budding Grade in Rectal Cancer |
| Yue Wang1, Anliang Chen1, Lizhi Xie2, and Ailian Liu1 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE Healthcare (China), Beijing, China |
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Keywords: Cancer, Quantitative Imaging, tumor budding This study used diffusion kurtosis imaging (DKI) to predict the tumor budding (TB) grade in rectal cancer. The results showed that the parameters MK, MD and their combination parameter both perform great diagnostic efficiency. DKI could noninvasively predict TB grade of rectal cancer, which is an important prognostic information, and has important guiding significance for clinical treatment. |
| 1503 | Computer 37
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The Added Value of Reduced Field-of-view IRIS-DWI Sequence for T2WI Sequence in T Staging of Rectal Cancer |
| Ziyou Wang1, Chong Wang2, Haini Zhang1, Jianwei Zeng2, Zhongxiao Liu2, Wenbei Xu1, Shenman Qiu2, Yanchun Zhang3, Hao Wang3, Peng Wu4, Yankai Meng2, and Kai Xu2 | ||
1Xuzhou medical university, Xuzhou,Jiangsu Province, China, 2The affilliated hospital of Xuzhou Medical University, Xuzhou,Jiangsu Province, China, 3Suining Country People's hospital affiliated to Xuzhou Medical University, Xuzhou,Jiangsu Province, China, 4Philips Healthcare, Shanghai Province, China |
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Keywords: Cancer, Diffusion/other diffusion imaging techniques, diagnosis confidence We aimed to evaluate the added value of reduced field-of-view (rFOV) IRIS-DWI sequence for T2WI sequence in evaluating T staging of rectal cancer. ROC analysis showed the diagnosis performance based on T2WI + rFOV IRIS-DWI imaging was superior to single T2WI sequence. The AUC, sensitivity and specificity were 0.928, 93.3%, 91.7% and 0.658, 73.3%, 58.3% for two diagnosis methods respectively. The result showed significant difference between two methods with P = 0.002. rFOV IRIS-DWI combined T2WI imaging could provide higher diagnosis confidence and higher diagnosis accuracy for rectal cancer T staging. |
| 1504 | Computer 38
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Discriminating Locally advanced and Metastatic Lung Cancer using Restriction Spectrum Imaging and Intravoxel Incoherent Motion Model |
| Zhongyan Xiong1, Yu Luo2, Yang Yang3, Meiyun Wang2, Xin Liu4,5, Hairong Zheng1, and Chao Zou4,5 | ||
1Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2Department of Medical Imaging, Henan Provincial People’s Hospital & Zhengzhou University People’s Hospital, Zhengzhou, China, 3Central Research Institute, United Imaging Healthcare, Shanghai, China, 4Paul C. Lauterbur Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 5Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen, China |
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Keywords: Lung, Diffusion/other diffusion imaging techniques A novel diffusion weighted imaging model called restriction spectrum imaging (RSI) captures the distinct diffusion behavior of tumors. The restricted diffusion correlates to tumor cellularity, a potential indicator of cancer aggressiveness. To assess its capability of characterizing lung cancer metastasis, we applied a three-compartment RSI model and intravoxel incoherent motion model to DWI images of locally advanced and metastatic lung cancer patients with the diagnosis of biopsy. The RSI model demonstrated its ability to discriminate the lung cancer of locally advanced (III) and metastatic (IV) stage, and the results outperforms the traditional IVIM model. |
| 1505 | Computer 39
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Study on the influence of different scanning directions of whole-body MRI on the detection of lesions |
| Nan Wang1, Ailian Liu1, Guobin Li2, Shuheng Zhang2, Shaoxin Xiang3, Yongming Dai3, and Qingwei Song1 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Shanghai United Imaging Healthcare Co., Ltd, Shanghai, China, 3MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Cancer, Whole Body Whole-body MRI (WB-MRI) is proposed as a potential modality to evaluate the entire body with excellent spatial resolution and high sensitivity. However, the long scanning time of WB-MRI has still limited the clinical application. This study compared the time cost and lesion display effect of WB-MRI in different scan directions. This study demonstrated that using coronal scanning in WB-MRI is an effective method to reduce the scan time and achieve good performance in detecting lesions in clinical applications. |
| 1644 | Computer 1
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Automatic Segmentation of Liver Metastases Based on a Deep Learning: Assessment of Tumor Treatment Response According to the RECIST 1.1 Criteria |
| xiang liu1 and xiaoying wang1 | ||
1peking university first hospital, Beijing, China |
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Keywords: Liver, Cancer This retrospective study aims to develop an automated algorithm for segmentation of liver metastases based on a deep learning method and assess its efficacy for treatment response assessment according to the RECIST 1.1 criteria. One hundred and sixteen treated patients with clinically confirmed liver metastases were enrolled. A 3D U-Net algorithm was trained for automated liver metastases segmentation and treatment response assessment. The results demonstrated that the automated liver metastases segmentation was capable of evaluating treatment response, with comparable results to the junior radiologist and superior to that of the fellow radiologist. |
| 1645 | Computer 2
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Improving Kidney Volume Measurement Reproducibility in ADPKD by Averaging Measurements on Multiple Sequences |
| Hreedi Dev1, Chenglin Zhu1, Arman Sharbatdaran1, Syed I. Raza1, Sophie Wang1, Dominick J. Romano1, Akshay Goel1, Kurt Teichman1, Mina C. Moghadam1, George Shih1, Jon D. Blumenfeld1,2, Daniil Shimonov2, James Chevalier2, and Martin R. Prince1,3 | ||
1Radiology, Weill Cornell Medicine, New York, NY, United States, 2Rogosin Institute, New York, NY, United States, 3Radiology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, United States |
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Keywords: Kidney, Kidney, MRI, ADPKD Organ volume measurements on MRI are typically performed on a single pulse sequence because of the tedious process of manual contouring. Here we use deep learning to automate kidney segmentations so that kidney volume can be measured on five abdominal MRI sequences. In 17 subjects scanned twice within 3 weeks (when no change in kidney volume was expected), the power of averaging 5 measurements improved reproducibility, achieving 2.5% absolute percent difference compared to 5.9% with manual contouring (p<0.05). Absolute percent error was reduced further to 2.1%, p<0.05 compared to manual segmentations, by excluding outlier measurements. |
| 1646 | Computer 3
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MR-based Radiomics Models for Predicting Pathological Complete Response in Locally Advanced Rectal Cancer: A Two-Centre, Multi-Vendor Study |
| Qiurong Wei1, Weicui Chen1, Liting Mao1, Kan Deng2, Zhaoxian Yan1, Weikang Huang1, and Xian Liu1 | ||
1Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China, 2Philips Healthcare, Guangzhou, China |
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Keywords: Cancer, Radiomics The response to neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC) is especially important for prognostic and management decisions. In this study, we used cross-vendor data from two centers to validate the generalization ability of radiomics model based on multiparametric-MRI (MP-MRI) for predicting pCR and to compare the discriminatory performance of different classifiers. Our results demonstrated that radiomics can be used to predict pCR. The clinical-radiomics model had superior performance compared to the radiomics model and clinical model. Furthermore, the RF classifier outperformed the other classifiers in prediction. |
| 1647 | Computer 4
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Prediction of Histological Subtypes Using Machine-Learning Model Based on UTE-MRI in Non-Small Cell Lung Cancer：A comparative study with CT |
| Pengyang Feng1, Nan Meng2, Xuan Yu2, Yaping Wu2, Fangfang Fu2, Yu Luo2, Han Jiang3, Ziqiang Li3, Jianmin Yuan4, Yang Yang5, Zhe Wang4, and Meiyun Wang*2 | ||
1Department of Medical Imaging, Henan University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 2Department of Medical Imaging, Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 3Department of Medical Imaging, Xinxiang Medical University Henan Provincial People’s Hospital, Zhengzhou, China, 4Central Research Institute, UIH Group, Shanghai, China, 5Beijing United Imaging Research Institute of Intelligent Imaging, UIH Group, Beijing, China |
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Keywords: Cancer, Radiomics Three-dimensional ultrashort echo time (3D-UTE) is a novel MRI technique, which yields similar diagnostic results as conventional pulmonary computed tomography (CT). Our results showed that the predication model based on clinical factors and 3D-UTE radiomics features could noninvasively assess the subtype of in non-small cell lung cancer. Compared with the CT model, it has similar diagnostic efficiency but less radiation, which is expected to provide new ideas for related research. |
| 1648 | Computer 5
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AI-based reconstruction of T2-weighted sequences in prostate MRI: clinical evaluation and impact on diagnostic confidence |
| Leon Bischoff1,2, Alexander Isaak1,2, Christoph Katemann3, Dmitrij Kravchenko1,2, Narine Mesropyan1,2, Christoph Endler1,2, Barbara Wichtmann1,2, Oliver Weber3, Johannes Peeters4, Claus Christian Pieper1, Daniel Kütting1,2, Alois Martin Sprinkart1,2, Ulrike Attenberger1, and Julian Luetkens1,2 | ||
1Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany, 2Quantitative Imaging Lab, University Hospital Bonn, Bonn, Germany, 3Philips GmbH Market DACH, Hamburg, Germany, 4Philips MR Clinical Science, Best, Netherlands |
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Keywords: Prostate, Machine Learning/Artificial Intelligence, Prostate cancer In this prospective study, 56 male patients with suspected prostate cancer were included to evaluate an artificial intelligence (AI) based reconstruction method for T2-weighted sequences in multiparametric MRI (mpMRI). After comparison with conventionally acquired and reconstructed sequences we found the new AI-based method to produce images with higher image sharpness and delineation of lesions, confirmed by both qualitative and quantitative analysis. This is accompanied by a reduction of scan time by 29-37%. Confidence in the assessed PI-RADS scores was significantly higher for the AI-reconstruction. This new technique could therefore potentially increase diagnostic accuracy of mpMRI of the prostate. |
| 1649 | Computer 6
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Deep Learning Based Reconstruction for Multi-shot DWI of the Breast: A Preliminary Study |
| Ning Chien1, Cheng-Ya Yeh1, Yi-Chen Chen1, Yeun-Chung Chang2, Chia-Wei Li3, Chien-Yuan Lin3, Patricia Lan4, Xinzeng Wang5, Arnaud Guidon6, and Kao-Lang Liu1 | ||
1Department of Medical Imaging, National Taiwan University Cancer Center and National Taiwan University College of Medicine, Taipei, Taiwan, 2Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan, 3GE Healthcare, Taipei, Taiwan, 4GE Healthcare, Menlo Park, CA, United States, 5GE Healthcare, Houston, TX, United States, 6GE Healthcare, Boston, MA, United States |
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Keywords: Breast, Machine Learning/Artificial Intelligence, Deep learning reconstruction, Multi-shot DWI Diffusion-weighted imaging (DWI) in the breast is limited by image distortion, which can be improved with multi-shot DWI (MUSE). We conducted a pilot study to investigate the impact of deep-learning reconstruction (DLRecon) on MUSE image quality. Compared with the non-DL MUSE images, the MUSE DLRecon showed higher SNR without altering the mean ADC value. Moreover, the higher shots MUSE DL with reduced NEX could provide less-distortion DWI with comparable SNR and scan time to 2-shot MUSE imaging, which is commonly used in the clinical setting. Preliminary results indicate the feasibility of MUSE-DWI in the breast with higher number of shots. |
| 1650 | Computer 7
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Multiparametric MR-based Feature Fusion Radiomics Combined with ADC Maps-based Tumor Proliferative Burden in Distinguishing TNBC vs. non-TNBC |
| Fangrong Liang1,2, Wanli Zhang1,2, Jiamin Li1,2, Yongzhou Xu3, Aaron Zhang3, Xinqing Jiang1,2, Xin Zhen4, and Ruimeng Yang1,2 | ||
1Department of Radiology, The Second Affifiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, China, 2Department of Radiology, Guangzhou First People’s Hospital, Guangzhou, China, 3Philips Healthcare, Guangzhou, China, 4School of Biomedical Engineering, Southern Medical University, Guangzhou, China |
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Keywords: Breast, Diffusion/other diffusion imaging techniques, Tumor proliferative burden; Triple negative breast cancer; Multiparametric magnetic resonance imaging Triple negative breast cancer (TNBC) is highly heterogeneous, with poorer prognosis, higher recurrence rates and severe treatment challenges. Accurate preoperative identification of TNBC is helpful for individualized patient management. Based on multiparametric magnetic resonance imaging (mMRI), we employed whole-tumor ADC maps-based radiomics (RADC) model, tumor proliferative burden (TPBADC) model, mMRI-based feature fusion radiomics (RFF) model and combinational RFF-TPBADC model to investigate their performance in distinguishing TNBC from non-TNBC. Our results showed that the RFF-TPBADC model outperformed the RADC, TPBADC, and RFF models by integrating mMRI radiomics features and TPBs, demonstrating its potential for classification of breast cancer. |
| 1651 | Computer 8
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A Fully Automatic Data Processing Method for MRI T2* Relaxometry of Iron Loaded Liver |
| Zifeng Lian1, Qiqi Lu1, and Yanqiu Feng1 | ||
1School of Biomedical Engineering, Southern Medical University, Guangzhou, China |
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Keywords: Relaxometry, Liver, T2*, liver iron content MRI T2* relaxometry is a reliable method for assessing liver iron overload. To develop a fully automatic T2* relaxometry data processing method for assessing liver iron overload, we promoted a semi-automatic parenchyma extraction to an automatic approach by introducing a modified TransUNet on R2* map for the segmentation of whole liver. The proposed method showed excellent liver segmentation performance on the internal and external test sets and yielded T2* measurements highly consistent with those by the semi-automatic method. This fully automatic approach will enable an efficient and reliable measurement of liver T2* for assessing hepatic iron content in clinical practice. |
| 1652 | Computer 9
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Using convolutional neural network predicts microvascular invasion in hepatocellular carcinoma based on Gd-EOB-DTPA-enhanced MRI |
| Baoer Liu1, Pingjing Wang2, Jianbin Huang1, Wu Zhou2, and Yikai Xu1 | ||
1Nanfang Hospital, Southern Medical University, Guangzhou, China, 2Guangzhou University of Chinese Medicine, Guangzhou, China |
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Keywords: Liver, Cancer, Gd-EOB-DTPA-enhanced MRI An accurate preoperative assessment of microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC) is of great clinical importance in choosing appropriate surgical interventions. We aimed to investigate diagnostic performance of Gd-EOB-DTPA-enhanced MRI for prediction of MVI in HCC using convolutional neural network (CNN). The CNN model based on hepatobiliary phase (HBP) images had great diagnostic efficiency for the prediction of MVI with the AUC of 0.858 (range, 0.854, 0.893). Deep learning with CNN based on Gd-EOB-DTPA-enhanced MRI can be conducive to preoperative prediction of MVI in HCC. |
| 1653 | Computer 10
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Radiomics Nomogram Based on Multi-scale MRI for the Prediction of Microvascular Invasion in Intrahepatic Cholangiocarcinoma |
| Xianling Qian1, Yunfei Zhang2, Gengyun Miao1, Yongming Dai2, and Mengsu Zeng1 | ||
1Zhongshan Hospital, Fudan University, Shanghai, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Liver, Radiomics Microvascular invasion (MVI) is a significant adverse prognostic indicator of intrahepatic cholangiocarcinoma (ICC), and affects the selection of individualized treatment regimen. However, the preoperative imaging-based identification of MVI status is rather difficult. This study sought to establish a multi-sequence and multi-scale MR image-based radiomics nomogram for the presurgical prediction of MVI in ICC. |
| 1654 | Computer 11
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Deep Learning Segmentation of Lung Parenchyma For UTE Proton MRI |
| Christopher Keen1, Peter Šereš1, Justin Grenier1, Robert Stobbe1, Ian Paterson2, Kumar Punithakumar 3, Jacob Jaremko3, and Richard Thompson1 | ||
1Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada, 2Division of Cardiology, University of Alberta, Edmonton, AB, Canada, 3Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, AB, Canada |
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Keywords: Machine Learning/Artificial Intelligence, Lung Accurate segmentation is required to perform quantitative analysis on lung parenchyma in ultrashort echo time (UTE) proton MRI. Deep learning methods offer a solution to this problem, however, previous application to UTE lung MRI is limited. A deep learning model was trained to segment lung parenchyma using fine tuned region growing masks as a reference. To test the generalizability of the model the performance of three different 3D UTE k-space trajectories were compared. Overall, the model produced high quality segmentation for the different acquisition approaches with improvements over training data in areas of high vessel density and high signal intensity. |
| 1655 | Computer 12
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An update of Graded prognostic assessment using molecular markers and Radiomics for estimating survival in NSCLC patients with brain metastases |
| Lan He1,2 and Zaiyi Liu1,2 | ||
1Department of Radiology, Guangdong Provincial People's Hospital , Guangdong Academy of Medical Sciences, Guangzhou, China, 2Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China |
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Keywords: Lung, Radiomics, Prognosis prediction; Non-small cell lung cancer Rad-molGPA index is prognostic for non-small cell lung cancer patients with brain metastases. The updated Rad-molGPA incorporating radiomics features into the Lung-molGPA is a user-friendly tool to facilitate clinical decision making and appropriate stratification of future clinical trials. |
| 1656 | Computer 13
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Quantitative 3D tumor enhancement on contrast-enhanced MR imaging in patients with HCC after TACE: a consistency evaluation |
| Xu Hua Gong1, Lei Lv2, and Li Jun Qian1 | ||
1Radiology, Renji Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China, 2ShuKun (BeiJing) Technology Co., Ltd., Beijing, China |
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Keywords: Liver, Cancer Quantitative European Association for the Study of the Liver (qEASL) can better evaluate the therapeutic efficacy of hepatocellular carcinoma (HCC) after transcatheter arterial chemoembolization (TACE). Conventional qEASL is often achieved semi-automatically, which is tedious, labor-intensive, and time-consuming. In this study, we provide and assess an automatic qEASL approach based on a VoxelMorph and Faster R-CNN framework named Shukun PortalDoc. We compared the consistency of the proposed method with the widely accepted semi-automatic software (MultiModality Tumor Tracking, Philips IntelliSpace Portal, Philips healthcare) in assessing qEASL of hepatocellular carcinoma after TACE. |
| 1657 | Computer 14
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The importance of multi-reader assessment for external validation of prostate lesion classification models using quantitative mpMRI. |
| Tom Syer1, Nikolaos Dikaios2, Thomas Parry3, Giorgio Brembilla3, Mrishta Brizmohun3, Saurabh Singh4, Susan Heavey5, Hayley Pye6, Hayley Whitaker5, Sue Mallett3, David Atkinson3, and Shonit Punwani3 | ||
1Centre for Medical Imaging, University College London, London, United Kingdom, 2Mathematics Research Center, Academy of Athens, Athen, Greece, 3Centre for Medical Imaging, Univeristy College London, London, United Kingdom, 4Radiology, Univeristy College London Hospital, London, United Kingdom, 5Department of Targeted Intervention, Univeristy College London, London, United Kingdom, 6National Pathology Imaging Co-operative, Leeds, United Kingdom |
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Keywords: Prostate, Machine Learning/Artificial Intelligence Machine learning for classifying prostate mpMRI lesions may help reduce unnecessary biopsies. However, external validation with multiple scanners and readers is required before the clinical adoption of such models can be considered. Two readers validated a previously published and well-performing logistic regression model on an external cohort. The model performance was not generalisable and offered no advantage to using PSAd cut-offs, and there was marked variation in model score related to contour differences from different readers. This potential variability should be investigated in future models which use quantitative MRI. |
| 1658 | Computer 15
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Development and validation of combined Ki67 status prediction model for intrahepatic cholangiocarcinoma based on MRI radiomics |
| Xianling Qian1, Changwu Zhou1, Yunfei Zhang2, Yongming Dai2, and Mengsu Zeng1 | ||
1Zhongshan Hospital, Fudan University, Shanghai, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Liver, Radiomics In the past decades, the incidence and mortality of intrahepatic cholangiocarcinoma (ICC) have been on the rise. A nuclear antigen named Ki67 is a poor prognostic predictor and an attractive therapeutic target in patients with ICC. Therefore, accurate prediction of Ki67 status in ICC patients is a predictor for treatment efficacy evaluation and outcome prediction. In this study, we established a multiparametric model for predicting Ki67 status in ICC patients preoperatively. |
| 1659 | WITHDRAWN |
| 1660 | Computer 16
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Self-supervised Denoising of Pulmonary Perfusion Imaging in Human Subjects and Swine |
| Changyu Sun1,2, Craig A. Emter3, Darla L. Tharp3, and Talissa A. Altes2 | ||
1Biomedical, Biological and Chemical Engineering, University of Missouri Columbia, Columbia, MO, United States, 2Radiology, University of Missouri Columbia, Columbia, MO, United States, 3Biomedical Sciences, University of Missouri Columbia, Columbia, MO, United States |
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Keywords: Lung, Machine Learning/Artificial Intelligence, Self-supervised Denoising Self-supervised learning denoising networks can be applied to noisy only datasets when the clean-noisy pairs are not available, which is suitable for dynamic contrast-enhanced (DCE) pulmonary imaging where SNR is low and no ground truth clean image can be acquired. Blind-spot network with asymmetric pixel-shuffle downsampling (AP-BSN) was trained to utilize the advantages of self-supervised BSN and improve the denoising performance for pixel-wise independent and dependent noise. AP-BSN denoised images showed improved image quality by human reader assessment. AP-BSN showed generalization ability from human subjects to swine and from 1.5T to 3T. |
| 1661 | Computer 17
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Constructing different models to predict the degree of uterine prolapse based on high-resolution MRI radiomics |
| Qian Wang1, Qiu Bi2, Yijun Zheng1, Yaoxing Wang1, Yuhui Chen2, Chenrong Li1, Xianhong Wang1, Yunzhu Wu3, and Guoli Bi2 | ||
1Medical school, Kunming University of Science and Technology, Kunming, China, 2Department of MRI, the First People’s Hospital of Yunnan Province, Kunming, China, 3MR Scientific Marketing, Siemens Healthineers Ltd, Shanghai, China |
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Keywords: Uterus, Radiomics, High-resolution MRI Uterine prolapse has become one of the most common chronic diseases affecting women's health and quality of life. Early detection and intervention would be important factors to delay the progress of uterine prolapse. In this study, high-resolution magnetic resonance imaging(HR-MRI) of pelvic floor combined with radiomics was used to investigate the degree of uterine prolapse. It was found that the HR-MRI radiomics can be used as an effective evaluation method, and the nomogram has the best diagnostic efficacy for predicting the degree of uterine prolapse. |
| 1662 | Computer 18
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An 18F-FDG PET/3D-UTE MRI-based radiomics model facilitates the preoperative assessment of lymph node status in non-small cell lung cancer |
| Nan Meng1, Pengyang Feng2, Xuan Yu1, Yaping Wu1, Fangfang Fu1, Ziqiang Li3, Yu Luo1, Hongna Tan1, Jianmin Yuan4, Yang Yang5, Zhe Wang4, and Meiyun Wang*6 | ||
1Department of Medical Imaging, Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 2Department of Medical Imaging, Henan University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 3Department of Medical Imaging, Xinxiang Medical University Henan Provincial People’s Hospital, Zhengzhou, China, 4Central Research Institute, UIH Group, Shanghai, China, 5Beijing United Imaging Research Institute of Intelligent Imaging, UIH Group, Beijing, China, 6Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China |
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Keywords: Cancer, PET/MR 18F-FDG PET/MRI is one of the most advanced means for the noninvasive diagnosis and evaluation of tumors. Three-dimensional ultrashort echo time (3D-UTE) is a novel MRI technique, which not only does not have ionizing radiation but also yields similar diagnostic results as conventional pulmonary CT. Our results showed that the 18F-FDG PET/MRI model based on clinical factors, 3D-UTE, and PET radiomics features could noninvasively assess the lymph node status in non-small cell lung cancer(NSCLC). Compared with the PET/CT model, it has similar diagnostic efficiency but less radiation, which is expected to provide new ideas for related research. |
| 1663 | Computer 19
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3D MR Elastography-based Prediction of the Histologic VETC Pattern Associated with Aggressive Hepatocellular Carcinoma |
| Mengsi Li1, Keni Zheng2, Ziying Yin2, Lina Zhang1, Jinhui Zhou1, Dingyue Zhang1, Jun Chen2, Kevin J. Glaser2, Richard L. Ehman2, and Jin Wang1 | ||
1The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China, 2Mayo Clinic, Rochester, MN, United States |
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Keywords: Cancer, Elastography, Hepatocellular carcinoma A histologic sign known as “vessels encapsulating tumor clusters” (VETC) has been shown to be a powerful predictor of aggressive hepatocellular carcinoma (HCC) and is associated with unfavorable prognosis. It has been previously demonstrated that MR elastography (MRE)-based stiffness and shear strain mapping are promising in prediction of HCC aggressiveness. We investigated the diagnostic performance of MRE for predicting the VETC finding in HCC. Our results showed that 3D MRE-based peritumor OSS-pLSL and tumor stiffness performed well in predicting VETC status preoperatively, and their combination achieved an AUC of 0.92 in predicting VETC with sensitivity (87.9%) and specificity (83.9%). |
| 1664 | Computer 21
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Multi-nuclear 1H and 23Na MRI investigation of fibroadipose tissue sodium in patients with secondary lymphedema |
| Shannon L Taylor1, Michael D Pridmore2, Maria E Garza2,3, Vanessa Crain2, Sheau-Chiann Chen4, Alaina J Brown5, Yu Luo2, Paula MC Donahue6,7, Manus J Donahue3,8, and Rachelle L Crescenzi1,2 | ||
1Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 3Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 4Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States, 5Obstetrics and Gynecology; Division of Gynecologic Oncology, Vanderbilt University Medical Center, Nashville, TN, United States, 6Physical Medicine and Rehabilitation, Vanderbilt University Medical Center, Nashville, TN, United States, 7Dayani Center for Health and Wellness, Vanderbilt University Medical Center, Nashville, TN, United States, 8Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, United States |
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Keywords: Cancer, Non-Proton, lymphedema, fibrosis, sodium, inflammation, adipose, lymph Advanced-stage lymphedema is a disease of chronic fluid accumulation and tissue inflammation that results in fibrosis and subcutaneous fat expansion in affected limbs. Assessment of fat and fibrosis currently relies on biopsies or non-specific bedside measures. Noninvasive MRI could be important for understanding pathophysiology and evaluating emerging therapies. We cross-sectionally evaluated multi-nuclear proton and sodium MRI in patients with lower-extremity secondary lymphedema. Results reveal subcutaneous adipose tissue expansion throughout the affected calf, locoregional fibrosis, and elevated sodium content in fibroadipose tissues particularly in the anterior calf, thereby highlighting the relevance of these technologies for interrogating tissue health in lymphedema. |
| 1665 | Computer 22
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Mammary tumor COX-2 expression in immunocompromised mice contributes to splenic MDSC expansion and alters splenic metabolism |
| James Dion Barnett1, Marie-France Penet1,2, Santosh Kumar Bharti1, Yelena Mironchik1, Balaji Krishnamachary1, and Zaver M Bhujwalla1,2,3 | ||
1The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, United States, 3Department of Radiation Oncology and Molecular Radiation Sciences, Baltimore, MD, United States |
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Keywords: Cancer, Preclinical, Spleen, MDSC, Cancer, COX-2 Tumor COX-2 expression in breast cancer has been associated with increased aggressiveness. Here we have investigated the effects of tumor COX-2 levels on spleen metabolism and on the expansion of myeloid derived suppressor cells (MDSCs) that potentiate cancer progression. Studies were performed with human triple negative breast cancer cells in immune suppressed mice and mouse breast cancer cells in immune competent mice. COX-2 levels significantly altered splenic metabolism and MDSC expansion in immune suppressed mice but not in immune competent mice that may have implications for breast cancer patients that are immune compromised. |
| 1666 | Computer 23
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Standardized volume and IVIM parameters of spleen in patients with acute leukemia: the value of evaluating tumor burden and prognosis |
| Wenjin Bian1, Jinliang Niu1, jianting Li1, and Wenqi Wu1 | ||
1The Second Hospital of Shanxi Medical University, Taiyuan, China |
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Keywords: Cancer, Diffusion/other diffusion imaging techniques, spleen This study investigated the values of standardized volume and intravoxel incoherent motion (IVIM) parameters of spleen in evaluating tumor burden and prognosis in newly diagnosed acute leukemia (AL). Eighty-five AL patients and seventy-four healthy volunteers were recruited and underwent IVIM in the abdomen on a 3.0T MRI system. The results showed standardized volume and IVIM parameters of spleen were associated with tumor burden and treatment response in AL, and 218.1cm3 was the threshold of standardized spleen volume for predicting treatment response, which indicated that they can be potentially useful in tailoring the individualized treatment plan for each patient. |
| 1667 | Computer 24
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Habitat Analysis Based on Multiparametric MRI Predicts Lung Adenocarcinoma Subtypes |
| Gaofeng Shi1, Qi Wang1, Hui Feng1, Hui Liu1, Mengyu Song1, Xinyue Liang2, and Yongming Dai2 | ||
1Department of Radiology, Fourth Hospital of Hebei Medical University, Shijiazhuang, China, 2Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Cancer, Lung As a promising approach to analyze tumor heterogeneity through image features, habitat analysis has been applied for a variety of tumors, such as lung adenocarcinoma (LUAD). To our knowledge, the previous applications, mainly based on CT and PET images, would potentially hold a limited impact on the power of habitats analysis. In this study, our goal is to extend the applications of habitat analysis in LUAD with multi-parametric MR images, which would be obtained routinely longitudinally and to guide specific therapies. |
| 1668 | Computer 25
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Prediction of visceral pleural invasion in early-stage non-small cell lung cancer by T2WI |
| Ning Zhang1, Bei Liu1, Gaofeng Shi1, Qian Xu1, Hui Feng1, Hui Liu1, Chen Zhang2, and Fan Yang1 | ||
1Hebei Medical University Fourth Affiliated Hospital, Shijiazhuang, China, 2MR Scientific Marketing, Siemens Healthineers, Beiing, China |
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Keywords: Cancer, Lung This study investigated the clinical value of MRI T2WI for VPI in early-stage NSCLC. Four MRI signs of VPI in lung cancer were summarized by MR T2WI of patients with early-stage NSCLC suspected of VPI. Among them, category 3 signs and category 4 signs had higher positive predictive values. This indicates that T2WI is useful in the prediction of VPI in early-stage NSCLC. |
| 1669 | Computer 26
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Tumor segmentation with nnU-Net on dynamic contrast enhanced MR images of triple negative breast cancer |
| Zhan Xu1, Sanaz Pashapoor2, Bikash Panthi1, Jong Bum Son1, Ken-Pin Hwang1, Beatriz Elena Adrada2, Rosalind Pitpitan Candelaria2, Mary Saber Guirguis2, Miral Mahesh Patel2, Huong Le-Petross2, Jessica Leung2, Marion Elizabeth Scoggins2, Gary Whitman2, Rania Mohamed2, Deanna Lynn Lane2, Tanya Moseley2, Frances Perez2, Jason White3, Elizabeth Ravenberg3, Alyson Clayborn3, Huiqin Chen4, Jia Sun4, Peng Wei4, Alastair Thompson5, Anil Korkut6, Lei Huo7, Kelly Hunt8, Stacy Moulder3, Jennifer Litton3, Vicente Valero3, Debu Tripathy9, Wei Yang2, Clinton Yam3, Gaiane Margishvili Rauch2, and Jingfei Ma1 | ||
1Department of Imaging Physics, MD Anderson Cancer Center, Houston, TX, United States, 2Departments of Breast Imaging, MD Anderson Cancer Center, Houston, TX, United States, 3Departments of Breast Medical Oncology, MD Anderson Cancer Center, Houston, TX, United States, 4Departments of Biostatistics, MD Anderson Cancer Center, Houston, TX, United States, 5Section of Breast Surgery, Baylor College of Medicine, Houston, TX, United States, 6Departments of Bioinformatics & Computational Biology, MD Anderson Cancer Center, Houston, TX, United States, 7Departments of Pathology, MD Anderson Cancer Center, Houston, TX, United States, 8Departments of Breast Surgical Oncology, MD Anderson Cancer Center, Houston, TX, United States, 9Department of Breast Medical Oncology, MD Anderson Cancer Center, Houston, TX, United States |
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Keywords: Cancer, Breast, TNBC Quantitative image analysis of cancers requires accurate tumor segmentation that is often performed manually. In this study, we developed a deep learning model with the self-configurable nnU-Net for automated tumor segmentation on dynamic contrast enhanced MR images of triple negative breast cancers. Our results on an independent testing dataset demonstrated that this nnU-Net based deep learning model can perform automated tumor segmentation with high sensitivity and Dice coefficient. |
| 1670 | Computer 27
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Deep Learning Reconstruction: Capability for Image Quality and Staging Accuracy Improvements on Chest MRI in NSCLC Patients |
| Yoshiharu Ohno1,2, Kaori Yamamoto3, Masato Ikedo3, Masao Yui3, Akiyoshi Iwase4, Yuka Oshima5, Nayu Hamabuchi5, Satomu Hanamatsu5, Hiroyuki Nagata2, Takahiro Ueda1, Hirotaka Ikeda1, Takeshi Yoshikawa1,6, Daisuke Takenaka1,6, Yoshiyuki Ozawa1, and Hiroshi Toyama1 | ||
1Radiology, Fujita Health University School of Medicine, Toyoake, Japan, 2Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan, 3Canon Medical Systems Corporation, Otawara, Japan, 4Fujita Health University Hospital, Toyoake, Japan, 5Fujita Health University School of Medicine, Toyoake, Japan, 6Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan |
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Keywords: Cancer, Lung, Staging Deep learning reconstruction (DLR) has been applied in routine clinical practice and started to demonstrate its’ potential in different MR examinations. However, no one have evaluated the utility of DLR for chest MRI, yet. We hypothesize that DLR method is useful for chest MRI and improve image quality and diagnostic performance for T and N factor evaluations in non-small cell lung cancer (NSCLC) patients. The purpose of this study was to determine the influence of DLR method on image quality and diagnostic performance for T and N factor evaluations at chest MRI in NSCLC patients. |
| 1671 | Computer 28
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Radiomic signature based on enhanced CT and 3T MRI for survival analysis in patients with esophageal squamous carcinoma |
| Dexuan Li1, Chenglong Wang1, Funing Chu2, Jinrong Qu2, Yang Song3, and Guang Yang1 | ||
1Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 2Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University &Henan Cancer Hospital, Zhengzhou, China, 3MR Scientific Marketing, Siemens Healthcare, Shanghai, China |
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Keywords: Cancer, Tumor We enrolled 478 patients with esophageal squamous carcinoma (ESCC) split them into a training and a test cohort with a ratio of 7 to 3. Radiomic features were extracted from lesions on both MR and CT images and used to build models for predicting disease-free survival (DFS) and overall survival (OS). For both MR and CT images, the radiomic signature combined with clinical variables achieved performance comparable to radiological signature. Over the test cohort, MRI-based models achieved C-index values of 0.707 and 0.663 for DFS and OS predictions, respectively; CT-based models achieved 0.731 and 0.68 for DFS and OS, respectively. |
| 1672 | Computer 29
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Application of fractional order calculus diffusion model in predicting the differentiation in esophageal squamous cell carcinoma |
| Keke Zhao1, Shaoyu Wang2, Hongkai Zhang1, Jinrong Qu1, and Hailiang Li1 | ||
1Henan Tumor Hosptial, Zhengzhou, China, 2MR Scientific Marketing, Siemens Healthineers, Shanghai, China |
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Keywords: Cancer, Cancer, esophageal squamous cell carcinoma A total of 50 patients with locally advanced ESCC were prospectively enrolled in this study. Diffusion Weighted Imaging (DWI) with multiple high b-values was performed before surgery, and a new set of parameters (D, β and m) from a fractional order calculus (FROC) diffusion model were acquired. The grade of differentiation about ESCC was assessed. We found that β and D value exhibited non-significant difference, and m value showed a significant difference between different grades ESCC (P =0.029). |
| 1673 | Computer 30
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R2* and ADC values in differentiating endometriosis-associated ovarian cancer from ovarian cancer |
| Ye Li1, Ailian Liu1, and Jiazheng Wang2 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Clinical and Technical Support, Philips Healthcare, Beijing, China |
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Keywords: Cancer, fMRI A total of 9 lesions from 7 EAOC patients and 21 lesions from 19 OC patients were collected to compare the differences in R2* and ADC values between the EAOC and OC groups. The results showed that the ADC values were able to discriminate between the two and there was no difference in R2* values. |
| 1674 | Computer 31
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Multi-modal fusion with joint conditional transformer for grading hepatocellular carcinoma |
| Shangxuan Li1, Yanshu Fang2, Guangyi Wang3, Lijuan Zhang4, and Wu Zhou1 | ||
1School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, China, 2First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangxhou, China, 3Department of Radiology, Guangdong Provincial People’s Hospital, Guangzhou, China, 4Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China |
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Keywords: Cancer, Machine Learning/Artificial Intelligence Multimodal medical imaging plays an important role in the diagnosis and characterization of lesions. Transformer pays more attention to global relationship modeling in data, which has obtained promising performance in lesion characterization. We propose a multi-modal fusion network with jointly conditional transformer to realize adaptive fusion of multimodality information and mono-modality feature learning constrained by other modal conditions. The experimental results of the clinical hepatocellular carcinoma (HCC) dataset show that the proposed method is superior to the previously reported multimodal fusion methods for HCC grading. |
| 1675 | Computer 32
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Continuous-time random walk diffusion model combined with VI-RADS to predict muscle invasion of bladder cancer |
| Wei Wang1, Ke Xue2, Yongming Dai2, and Jianxing Qiu1 | ||
1Department of Radiology, Peking University First Hospital, Beijing, China, 2MR Collaboration, Central Research Institute, Shanghai United Imaging Healthcare, Shanghai, China |
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Keywords: Cancer, Bladder, diffusion/other diffusion techniques Accurately differentiation of MIBC from non-muscle-invasive bladder cancer (NMIBC) is essential for selecting the optimal treatment plan and obtaining a better prognosis for BCa patients. In this study, the role of the CTRW model, VI-RADS and their combination in characterizing MIBC was evaluated. The CTRW parameters combined with VI-RADS could provide significantly better diagnostic performance for MIBC determination than the VI-RADS score alone. The CTRW model could serve as a compliment to VI-RADS and provide added value for predicting muscle invasion of bladder cancer. |
| 1676 | Computer 33
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Multiparametric MRI Evaluation of Vesical Imaging‑Reporting and Data System (VI‑RADS) for bladder cancer after Neoadjuvant Chemotherapy |
| Xinxin Zhang1, Yichen Wang1, Sicong Wang2, Jianzhong Shou1, Yan Chen1, and Xinming Zhao1 | ||
1National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China, Beijing, China, 2GE Healthcare, MR Research China, Beijing, Beijing, China |
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Keywords: Cancer, Bladder Local tumor restaging after neoadjuvant chemotherapy (NAC) treatment is urgently needed. Therefore, the aim of this study was to investigate whether VI-RADS could accurately detect muscle invasion in BC patients after NAC treatment. VI-RADS scores of bladder cancer after NAC were independently assessed by two radiologists. With an optimal cut-off value ≥4, the AUC values for the VI-RADS scores for predicting muscle invasion were 0.91, and 0.94 for reader 1 and reader 2 respectively. VI-RADS could potentially be a restaging tool for patients who underwent NAC. |
| 1677 | Computer 34
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To Compare the Application Value of Reduced Field-of-View IRIS-DWI Sequence and TSE-DWI Sequence in Rectal Cancer |
| Jianwei Zeng1, Haini Zhang1, Yankai Meng1, Lu Han2, Peng Wu2, and Kai Xu1 | ||
1Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xu zhou, China, 2Philips Healthcare, Shanghai, China |
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Keywords: Cancer, High-Field MRI The rFOV IRIS-DWI and rFOV TSE-DWI sequences are newer techniques in rectal magnetic resonance. In this study, we compared the image quality between reduced field-of-view (rFOV) diffusion weighted imaging (DWI) sequence based on image reconstruction using image-space sampling functions (IRIS) and rFOV turbo spin echo-diffusion weighted imaging (TSE-DWI) sequence. Through subjective and objective image quality analysis, we found different application values of rFOV IRIS-DWI and rFOVTSE-DWI sequences in rectal cancer. |
| 1678 | Computer 35
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The Value of Pelvic Skeletal Muscles to Identify the Low-Risk Rectal Cancers with Poor Prognosis |
| Yu Fu1, Jiayi Gao1, Mingyang Li1, and Huimao Zhang1 | ||
1The First Hospital of Jilin University, Changchun, China |
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Keywords: Cancer, Muscle The low-risk rectal cancer (RC) has no need for postoperative treatment after total mesorectal excision (TME). However, there are some low-risk RC patients without postoperative-treatments had subsequent metastasis and recurrence. Skeletal muscles are gaining more attention which shown to be associated with morbidity and mortality in caners. Therefore, this study established a radiomics model based on pelvic skeletal muscles on MRI to identify the low-risk rectal cancer (RC) with poor prognosis. Our research shows that the novel radiomic signatures could be used to predict disease-free survival (DFS) in low-risk RC to help clinicians improve the treatment decision making followed TME. |
| 1679 | Computer 36
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The value of dynamic contrast-enhanced MRI for discriminating tumor deposition from metastatic lymph nodes adjacent to rectal cancer |
| WEN JUN HU1, Anliang Chen1, and AIlian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Cancer, DSC & DCE Perfusion Tumor deposits (TD) and N stage are powerful prognostic factors for predicting the overall disease-free survival of rectal cancer patients. However, rectal cancer patients with TD are not the same as those with metastatic lymph node(MLN) in terms of treatment measures and prognosis. TD has similar performance to MLN on conventional CT/MRI images, which makes it difficult to distinguish them. Results of this study indicate DCE-MRI can effectively differentiate TD and MLN adjacent to rectal cancer, and the higher Kep and lower Ve values of rectal cancer with MLN may indicate its’ more aggressive. |
| 1680 | Computer 37
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Added-value of 3D amide proton transfer MRI in assessing cervical cancer: a comparison with multiple model diffusion-weighted imaging |
| Shujian Li1, Jieliang Lin2, and Jingliang Cheng1 | ||
1the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Advanced Technical Support, Philips Healthcare, Beijing, China |
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Keywords: Cancer, CEST & MT, Cervical cancer This study compared the diagnostic performances of mean, minimum, and maximum values of APT SI for preoperative identifying the prognostic factors (tumor stage, subtype, grade and LVSI status) of cervical cancer with those of multi-model DWI, and examined the additive value of 3D-APT imaging combined with multi-model DWI for the preoperative characterization of cervical cancer. The results showed that 3D-APT imaging was comparable with multi-model DWI for cervical cancer typing and grading. Adding APT to DWI can significantly improve the diagnostic performance with an AUC of 0.908 to predict tumor subtype, and an AUC of 0.903 to predict histological grade. |
| 1681 | Computer 38
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APTw combined with mDixon‑Quant imaging to distinguish the differentiation degree of cervical squamous carcinoma |
| Xing Meng1, Ailian Liu2, and Shifeng Tian2 | ||
1Dalian Women and Children’s Medical Group, Dalian, China, 2the First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Cancer, Uterus APTw and mDixon-Quant imaging were evaluated in this study for discrimination of the differention degree of CSC by histopathology. The APTw and R2* values of the poorly differentiated group were significantly higher than those of the well/moderately differentiated group. And the combination of APTw and R2* values showed a high diagnostic efficacy in discrimination of CSC with different differention degrees. |
| 1682 | Computer 39
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Serum Biomarkers for Risk Stratification of Prostate Cancer Patients on Active Surveillance by Untargeted 1H MRS Metabolomics |
| Leo L. Cheng1,2, Florian Rumpf 3, Matteo Sanchez-Dahl Gonzalez4, and Adam S. Feldman5 | ||
1Pathology, Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Charlestown, MA, United States, 3Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 4Pathology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 5Urology, Massachusetts General Hospital, Boston, MA, United States |
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Keywords: Cancer, Prostate, Spectroscopy HRMAS 1H MRS was employed for an untargeted investigation of metabolism in prostate cancer patients on AS (n=52). Serum samples from two matched patient groups, progressive (n=26) and non-progressive (n=26) were measured with short and long T2 filter to investigate metabolites in the lipoprotein and LMWM regions respectively. PCA on 46 ROI from data acquired by HRMAS 1H MRS with short T2 resulted in a metabolomic profile, PC7, that separated the progressive and non-progressive groups (p = 0.0323). The findings of such studies could revolutionize healthcare by improving the diagnosis of diseases and contributing to multi-omics integration for precision medicine. |
| 1683 | Computer 40
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Comparison of fitting methods for Non-Gaussian diffusion and IVIM MRI parameter estimation in two mice xenograft models |
| Yuko Someya1,2, Mami Iima1, Sawako Hayami3, Hirohiko Imai4, Hiroaki Takishima3, Denis Le Bihan5,6, Tomomi Nobashi1, Tsuyoshi Ohno1, and Yuji Nakamoto1 | ||
1Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medi, Kyoto, Japan, 2Diagnostic Radiology, Kobe City Medical Center General Hospital, Kobe, Japan, 3Kyoto University Faculty of Medicine, Kyoto, Japan, 4Department of Systems science, Graduate School of Informatics, Kyoto University Graduate School of Medi, Kyoto, Japan, 5CEA-Saclay Center, Paris-Saclay, NeuroSpin, Gif-sur-Yvette, France, 6Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan |
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Keywords: Cancer, Diffusion/other diffusion imaging techniques The optimal fitting method (1-step or 2-step) and b-value threshold (200 or 600 s/mm2) in analyzing IVIM/diffusion data was investigated using two different mice xenograft models (breast and colon cancer). The threshold of b=600 rather than 200s/mm2 was found better in these models, as many cases showed non negligible residual IVIM components left with b=200s/mm2. From simulations, it appears that a too low b value threshold leads to an overestimation of ADC0 and underestimation of K and fIVIM .Those results suggest that the b-value threshold must be checked depending on the tissue types. |
| 1838 | Computer 21
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HP 13C pyruvate MRS reveals that ATP Citrate Lyase regulates alanine aminotransferase activity in the db/db liver. |
| Young-Suk Choi1 and Ho-Taek Song2 | ||
1Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea, Republic of, 2Yonsei University College of Medicine, Seoul, Korea, Republic of |
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Keywords: Liver, Hyperpolarized MR (Non-Gas) Nonalcoholic fatty liver disease and diabetes are known to be closely related, but the mechanism has not been defined yet. The metabolic feature of the diabetic liver is that gluconeogenesis and fatty acid synthesis increase simultaneously. In this study, we hypothesized that ATP citrate lyase (ACLY) would play an essential role in inducing metabolic contradiction in the diabetic liver and investigate ACLY’s role on carbohydrate metabolism using hyperpolarized (HP) 13C pyruvate magnetic resonance spectroscopy (MRS) and primary mouse hepatocytes. |
| 1839 | Computer 22
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Accuracy and test-retest repeatability of stiffness measurement with MR Elastography: a multi-center phantom study |
| Efe Ozkaya1,2, Paul Kennedy1,2, Jun Chen3, Octavia Bane1,2, Jonathan R. Dillman4, Kartik S. Jhaveri5, Michael Ohliger 6,7, Phillip J. Rossman3, Jean A. Tkach4, Sudhakar K. Venkatesh3, Richard L. Ehman3, and Bachir Taouli1,2 | ||
1Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Department of Radiology, Mayo Clinic, Rochester, MN, United States, 4Department of Radiology, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, United States, 5Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital, and Women’s College Hospital,, University of Toronto, Toronto, ON, Canada, 6Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 7Department of Radiology, Zuckerberg San Francisco General Hospital, San Francisco, CA, United States |
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Keywords: Liver, Elastography, Phantom, Multicenter study, Accuracy, Repeatability The purpose of our multicenter study was to determine the accuracy and test-retest repeatability of stiffness measured with MRE in phantoms. Three phantoms with known stiffness (2.4, 4.4, and 7.5 kPa) were circulated between 5 different centers. 1.5T or 3T systems from the 3 major vendors were used for scanning with 2D GRE and/or SE-EPI MRE sequences. The reference was based on measurements in the reference center made at the start and end of study. For all 3 phantoms the mean accuracy error for the 4 testing centers was 10.2%, while test-retest repeatability error was 2.9% for all centers. |
| 1840 | Computer 23
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Fast multi-slice liver water T1 mapping using single-shot continuous inversion recovery spiral imaging |
| Elizabeth Huaroc Moquillaza1, Kilian Weiss2, Yoo Jin Lee3, Jonathan Stelter1, Thomas Amthor3, Peter Koken3, Marcus R. Makowski1, Rickmer Braren1, Mariya Doneva3, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, 2Philips GmbH Market DACH, Hamburg, Germany, 3Philips Research Lab, Hamburg, Germany |
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Keywords: Liver, Relaxometry Liver T1 mapping can characterize liver alterations in diffuse or focal (e.g. metastatic) liver disease, but it is currently limited to acquisitions of a single-slice per breath-hold. We propose a continuous inversion recovery methodology combining a single-shot gradient echo spiral readout, Dixon processing for water-fat separation and dictionary-based analysis for water selective T1 mapping in the liver at 3T. The spiral readout is employed for a high k-space sampling efficiency, enabling acquisitions with only 1.2s per slice. The method allows multi-slice full-liver water T1 mapping either in a single 11s-breath-hold or in a respiratory-triggered acquisition. |
| 1841 | Computer 24
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Automatic Extraction of Liver Parenchyma and R2* Estimation using Deep Learning for UTE Imaging for Assessment of Hepatic Iron Overload |
| Utsav Shrestha1, Cara Morin2,3, Ralf Loeffler4, Zachary R. Abramson2, Jane Hankins2, Claudia Hillenbrand4, and Aaryani Tipirneni-Sajja1,2 | ||
1The University of Memphis, Memphis, TN, United States, 2St. Jude Children's Research Hospital, Memphis, TN, United States, 3Cincinnati Children’s Hospital Medical Center, CINCINNATI, OH, United States, 4University of New South Wales, Sydney, Australia |
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Keywords: Liver, Liver, Deep Learning, Vessel Segmentation, R2*, HIC Ultra-short echo time (UTE) imaging increases the accuracy of R2*-based hepatic iron content (HIC) quantification in cases of high iron overload when conventional GRE sequences can fail due to rapid signal decay. Segmenting whole liver to estimate liver R2* requires human expert and is time consuming. In this study, we trained a convolutional neural network (CNN) to automatically segment the liver parenchyma on radial UTE acquisitions using magnitude images and R2* maps. Our results show an excellent agreement between manual and CNN-based liver segmentation and mean R2* values, hence demonstrating the potential of our proposed method for automated HIC assessment. |
| 1842 | Computer 25
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Towards Non-Invasive Diagnosis of NASH: Retrospective Fat Correction of MP2RAGE T1 Improves Correlation with Liver Fibrosis Stage |
| Andrew Duffy1, Parth Maheta2, Andreu F. Costa3, Sharon Clarke3,4, Ashley Stueck5, Magnus McLeod6, and James Rioux2,3,4 | ||
1Medicine, Dalhousie University, Halifax, NS, Canada, 2Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada, 3Diagnostic Radiology, Dalhousie University, Halifax, NS, Canada, 4Biomedical Translational Imaging Centre, Nova Scotia Health Authority, Halifax, NS, Canada, 5Pathology, Dalhousie University, Halifax, NS, Canada, 6General Internal Medicine, Dalhousie University, Halifax, NS, Canada |
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Keywords: Liver, Fat, Fibrosis There is significant interest in non-invasive biomarkers for staging of liver fibrosis in non-alcoholic fatty liver disease (NAFLD) to reduce the need for biopsy. T1 correlates with fibrosis but can also be influenced by fat, and while Dixon fat-water separation can remove this effect, such methods are uncommon in clinical T1 mapping sequences. In this work, we demonstrate a retrospective correction to estimate the T1 of liver tissue based on MP2RAGE without fat-water separation. This enables fat compensation in a wider range of acquisitions and improves the potential clinical utility of T1 as a biomarker for liver fibrosis. |
| 1843 | Computer 26
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Machine Learning Stratification of Liver Stiffness using T2-weighted MRI Radiomic Data: A Multi-Site Study |
| Hailong Li1, Ziang Chen1, Jinzhao Qian1, Wen Pan1, Scott B. Reeder2, David T. Harris2, William R. Masch3, Anum Alsam3, Krishna P. Shanbhogue4, Anas Bernieh1, Sarangarajan Ranganathan1, Nehal A. Parikh1, Jonathan R. Dillman1, and Lili He1 | ||
1Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2University of Wisconsin-Madison, Madison, WI, United States, 3Michigan Medicine, University of Michigan, Ann Arbor, MI, United States, 4NYU Langone Health, New York, NY, United States |
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Keywords: Liver, Liver, Liver stiffness MR elastography (MRE) offers a non-invasive approach to quantify liver stiffening, a surrogate for hepatic fibrosis. However, it has drawbacks, including long exam time, patient discomfort, and the need for additional hardware. The objective of this multi-site study is to develop a machine learning model to categorically stratify the severity of liver stiffness using clinical, routinely collected T2-weighted MRI data from pediatric and adult patients from four study sites. With radiomic features extracted from MRI data, our model achieved an AUROC of 0.72 for stratifying liver stiffness, demonstrating the potential of such a machine learning strategy for clinical utilization. |
| 1844 | Computer 27
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Evaluation the value of T1rho and Gd-EOB-DTPA-Enhanced T1 Mapping for liver function reserve in patients with chronic liver disease |
| Jie Zou1,2,3, Yanli Jiang1,2,3, Fengxian Fan1,3, Pin Yang1,3, Yuan Ding1,3, Jing Zhang1,3, Kai Ai4, and Zhigang Wu5 | ||
1Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China, 2Second Clinical School, Lanzhou University, Lanzhou, China, 3Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, China, 4Philips Healthcare, Xi'an, China, 5Philips Healthcare, Shenzhen, China |
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Keywords: Liver, Liver, T1rho, chronic liver disease, T1 mapping The purpose of this study is to evaluate the diagnostic performance of T1 rho and Gd-EOB-DTPA-Enhanced T1 Mapping in patients with chronic hepatitis B in liver function reserve. For the two groups of Child-Pugh A vs. B/C and Child-Pugh A/ B vs. C, the AUC of T1 rho and T1post-10min is higher than other metrics. The AUC value combined with these two indicators is the highest (0.861; 0.912). Δ T1, Δ R1 and ECV and T1 rho quantitative techniques may be helpful for staging liver function reserve, and the combination of T1 rho and T1post-10min can provide higher diagnostic efficiency. |
| 1845 | Computer 28
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Ammonium quantification in human plasma by 1H-NMR for staging of liver fibrosis in alcohol and non-alcoholic-related liver disease |
| Marc Azagra1, Elisa Pose2, Francesco De Chiara3, Martina Pérez2, Emma Avitabile2, Joan-Marc Servitja4, Laura Brugnara4, Javier Ramón-Azcón3, and Irene Marco-Rius1 | ||
1MIPMED, IBEC, Barcelona, Spain, 2Liver Unit, Hospital Clínic, Barcelona, Spain, 3Biosensors for Bioengineering, IBEC, Barcelona, Spain, 4IDIBAPS, Barcelona, Spain |
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Keywords: Liver, Blood, Ammonium quantification, chronic liver disease, hepatic dysfunction, disease biomarker, NMR Invasive and painful liver biopsy is the gold standard for liver disease diagnosis. Non-invasive methods to assess liver fibrosis in patients with alcohol-related liver disease (ArLD) and non-alcoholic fatty liver disease (NAFLD) are an unmet clinical need. We have developed a robust and reliable 1H NMR protocol to quantify the endogenous ammonium concentration in biological fluids. The measurement of ammonium in blood plasma samples of ArLD and NAFLD patients discerned between some stages of the disease retrospectively and showed that ammonium readout is a robust diagnostic marker of fibrosis stage, more so than current clinically assessed blood hepatic biomarkers. |
| 1846 | Computer 29
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Test-Retest Repeatability and Cross-Platform Reproducibility of Optimized 2D MRE and 3D MRE Liver Protocols with Automated Analysis |
| Bogdan Dzyubak1, Kay M Pepin1, Jun Chen1, Yuan Le1, Kyle Kalutkiewicz2, Roger Grimm1, Jeremy A Heilman1, Scott Kruse1, Jennifer Kugel1, Meng Yin1, Kevin J Glaser1, and Ehman L. Richard1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Engineering, Resoundant, Rochester, MN, United States |
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Keywords: Liver, Elastography Magnetic Resonance Elastography is a technique used to effectively stage liver fibrosis by measuring tissue stiffness. This work optimized several acquisition and processing parameters, and performed a comprehensive repeatability/reproducibility validation across the three types of MRE (GRE, EPI, 3DEPI), 1.5T and 3T field strengths, and the three major manufacturers (GE, Siemens, Philips). When using the optimized methods and automated analysis, the repeatability coefficients were 11.8% for GRE, 10.8% for EPI, and 7.7% for 3DEPI, all superior to QIBA’s 19% benchmark. Agreement between manufacturers was within 2%. |
| 1847 | Computer 30
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Glycogen Imaging of The Human Liver Using GraspNOE-Dixon |
| Xiang Xu1, Rodolphe Leforestier1, Ding Xia1, and Li Feng1 | ||
1BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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Keywords: Liver, Magnetization transfer We aim to translate the glycogen imaging approach to clinical scanners for human liver imaging. By combining saturation transfer preparation and Golden-angle Radial Sparse Parallel (GRASP) imaging, we can achieve steady-state saturation suitable for generating glycogen nuclear Overhauser enhancement (NOE) contrast and free-breathing imaging readout. Furthermore, we incorporated multi-echo acquisition, enabling NOE quantification in water-only images without fat influence. In this project, we demonstrated the effect of fat signal in z spectra from the composite images and the removal of such effect in z spectra from water only images. We also validated the glycoNOE signal using a fasting protocol. |
| 1848 | Computer 31
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Fast Free-Breathing 3D T1ρ Abdominal Imaging Using an Efficient Diamond Radial Sampling Strategy at 3T |
| Can Wu1, Qi Peng2, Ramin Jafari3, Yansong Zhao3, Victoria Yu1, and Ricardo Otazo1,4 | ||
1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Department of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, United States, 3MR Clinical Science, Philips Healthcare, Cambridge, MA, United States, 4Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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Keywords: Liver, Relaxometry An efficient diamond radial sampling strategy was proposed for free-breathing 3D T1ρ abdominal imaging at 3T. The phantom experiment shows that diamond radial sampling provides T1ρ measurement values comparable to that of 3D Cartesian and radial stack-of-stars sampling. In-vivo volunteer studies illustrate that diamond radial sampling is superior to Cartesian sampling, where image quality is significantly compromised by breathing motion artifacts. In addition, scan time can be drastically reduced using the fast MAPSS method. This work demonstrates the feasibility of quantitative free-breathing 3D T1ρ imaging with diamond radial sampling in the abdomen. |
| 1849 | Computer 32
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Heterogeneity of liver stiffness in chronic HBV infection: Influence on concordance between MRE-based fibrosis staging and biopsy staging |
| Chao Li1, Mingkai Li2, Xin Jin1, Mengshi Dong1, Yu Han1, Meng Yin3, Jun Chen1, Kevin J Glaser3, Richard L Ehman3, and Jin Wang1 | ||
1Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), Guangzhou, China, 2Department of Gastroenterology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), Guangzhou, China, 3Department of Radiology, Mayo Clinic, Rochester, MN, United States |
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Keywords: Liver, Elastography, MR elastography; Liver fibrosis; Heterogeneity Chronic hepatitis B (CHB) viral infection can lead to liver fibrosis. Liver biopsy, the gold standard for liver fibrosis assessment, is invasive and carries risks of complications and sampling errors. MR elastography (MRE) is regarded as the most accurate noninvasive tool for evaluating liver fibrosis. In this study we characterized the spatial heterogeneity of liver stiffness depicted by MRE in patients with CHB and found heterogeneity at all pathological fibrosis stages. The severity of spatial heterogeneity affected the concordance between MRE-based and pathology-based fibrosis staging. |
| 1850 | Computer 33
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Quantitative Digital Histological Analysis and Comparison to Proton Density Fat Fraction in Patients Undergoing Weight Loss Surgery |
| Devashish Joshi1, David Harris2, Nikolaos Panagiotopoulos2, Danielle Batakis3, Eduardo Grunvald4, Xiaofei Zhang5, Rashmi Agni5, Santiago Horgan6, Luke Funk1, Claude Sirlin3, and Scott Reeder2,7,8,9,10 | ||
1Surgery, University of Wisconsin - Madison, Madison, WI, United States, 2Radiology, University of Wisconsin - Madison, Madison, WI, United States, 3Radiology, Liver Imaging Group, University of California San Diego, La Jolla, CA, United States, 4Medicine, University of California San Diego, La Jolla, CA, United States, 5Pathology, University of Wisconsin - Madison, Madison, WI, United States, 6Surgery, University of California San Diego, La Jolla, CA, United States, 7Emergency Medicine, University of Wisconsin - Madison, Madison, WI, United States, 8Medicine, University of Wisconsin - Madison, Madison, WI, United States, 9Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States, 10Medical Physics, University of Wisconsin - Madison, Madison, WI, United States |
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Keywords: Liver, Fat The goal of our study was to correlate quantitative digital microscopic histological markers of hepatic steatosis with MRI-PDFF and demonstrate that microenvironment characterization can be used to evaluate hepatic microstructure in NAFLD for future MRI-based studies. Patients were recruited to undergo weight loss surgery during which a liver biopsy was performed. The biopsies were analyzed for steatosis proportionate area (SPA) and characterization of fat droplets. The SPA strongly correlated to the pathologist grading and MRI-PDFF and the liver fat content strongly correlated with the number of fat droplets. Our work demonstrated the feasibility of using MRI to characterize liver microstructure. |
| 1851 | Computer 34
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Detecting Hepatic Flexibility in patients with Non-Alcoholic Fatty Liver Disease (NAFLD) using 1H Magnetic Resonance Spectroscopy |
| Dragana Savic1, Ferenc E. Mózes1, Leanne Hodson1, Stefan Neubauer1, Michael Pavlides1, and Ladislav Valkovič1 | ||
1University of Oxford, Oxford, United Kingdom |
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Keywords: Liver, Liver, L-carnitine, acetylcarnitine This study investigated serum carnitine species and in-vivo hepatic acetylcarnitine levels as measured with MRS in healthy volunteers, and patients with low-risk NAFLD and high-risk NAFLD. L-carnitine facilitates transport of fatty acids into the mitochondria. We show that a single injection of L-carnitine modulated acetylcarnitine levels in the liver in healthy volunteers and low-risk NAFLD, but that this mechanism was blunted in the high-risk NAFLD group. This was accompanied by changed serum medium-chain and long-chain carnitine species, but only in the high-risk NAFLD group. Further studies are needed to understand the plasma and hepatic metabolic changes of carnitine species. |
| 1852 | Computer 35
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Effect of isocaloric ketogenic diet on fat content in the liver and muscle and volume of adipose tissue |
| Petr Sedivy1, Barbora Setinova1, Martin Burian1, Dita Pajuelo1, Milan Hajek1, Viktor Sebo2, Michal Koc2, Michaela Siklova2, Marina Henikova2, Eva Krauzova3, Jan Gojda2, Lenka Rossmeislova2, Jan Kovar4, and Monika Dezortova1 | ||
1MR-Unit, Institute for Clinical and Experimental Medicine, Prague, Czech Republic, 2Department of Pathophysiology, Third Faculty of Medicine, Charles University, University Hospital Královské Vinohrady, Prague, Czech Republic, 3Department of Internal Medicine, Third Faculty of Medicine, Charles University, University Hospital Královské Vinohrady, Prague, Czech Republic, 4Centre for Experimental Medicine, Institute for Clinical and Experimental Medicine, Prague, Czech Republic |
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Keywords: Liver, Metabolism, fat fraction, liver steatosis, intra- and extramyocellular fat, calf muscle The effect of a 28-day isocaloric ketogenic diet followed by a 2-day carbohydrate realimentation on adipose tissue and fat content in the liver and calf muscle in 22 obese women was studied using MRS and MRI methods. During the ketogenic diet, there was a significant decrease in liver fat volume (69±20 ml, i.e. decrease 43±4% of basal value) and liver fat content (2.7±0.6 %, i.e. 35±5% of basal value) and reduction cross-section in both subcutaneous (6 %) and visceral (7 %) fat. Contrary, the intramyocellular fat increased during the diet. |
| 1853 | Computer 36
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Evaluation of Confounding Influence of Fat on Hepatic Quantitative Parametric Mapping |
| Anandh Kilpattu Ramaniharan1, Mary Kate Manhard1,2, Jean A Tkach1,2, Andrew T Trout1,2, Jonathan R Dillman1,2, and Amol Pednekar1,2 | ||
1Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States |
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Keywords: Liver, Quantitative Imaging, Relaxometry Quantitative parametric mapping is an increasingly important tool for non-invasive assessment of liver disease. The extent of change in both water and fat content in the liver is dependent on the type and stage of the disease. Thus, proton density fat fraction (PDFF%) can have a confounding influence on the longitudinal change in estimated hepatic T1, T2, and T2* measurements. In 14 research participants, T1 was proportionately underestimated (4.70 (2.85, 6.54) ms/PDFF%) and T2 was proportionately overestimated (-0.60 (-0.76, -0.43) ms/PDFF%) with non-fat-suppressed parametric map compared to analogous estimates with fat-suppressed parametric maps, while T2* estimates were insensitive to PDFF. |
| 1854 | Computer 37
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In Vivo Evaluation of a Novel Deep Learning-based MR Image Reconstruction for Liver Fat Quantification |
| Nikolaos Panagiotopoulos1,2, Nathan T Roberts3, David Harris1, Daiki Tamada1, Ty Cashen3, Thekla H Oechtering1,2, Diego Hernando1,4,5,6, Claude B Sirlin7, and Scott B Reeder1,4,5,8,9 | ||
1Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Radiology and Nuclear Medicine, Universität zu Lübeck, Lübeck, Germany, 3GE Healthcare, Waukesha, WI, United States, 4Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 5Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 6Department of Departments of Electrical & Computer Engineering, University of Wisconsin-Madison, Madison, WI, United States, 7Department of Radiology, University of California San Diego, San Diego, CA, United States, 8Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States, 9Department of Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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Keywords: Liver, Quantitative Imaging Deep learning (DL)-based MR reconstruction methods show promise to reduce image noise compared to conventional image reconstruction while maintaining quantitative accuracy. The purpose of this work is to apply and evaluate the performance of DL reconstruction to chemical shift-encoded MRI for quantification of proton density fat-fraction (PDFF) in the liver. We compared quantitative PDFF results, test-retest repeatability, and standard deviation within regions of interest in nine patients with a wide range of PDFF (1-31%), for different levels of DL denoising. PDFF between reconstructions showed excellent agreement and constant test-retest repeatability. Standard deviation decreased with increasing DL denoising levels. |
| 1855 | Computer 38
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The relationship between the prognosis of NAFLD and abdominal organ fat fraction |
| Xingchen Pan1, Jiahui Fu1, Lei Zhang1, Yueluan Jiang2, Ye Sun1, Xin Shi1, and Fan Yang1 | ||
1Department of Radiology, First Hospital of Jilin University, changchun, China, 2MR Scientific Marketing, Siemens Healthineers, Beijing, China |
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Keywords: Liver, Liver, NAFLD; prognosis; fat fraction; abdominal organ The relationship between the prognosis of non-alcoholic fatty liver disease (NAFLD) treatment and the fat fraction or fat area of other abdominal organs has not been explored. In this study, we measured the proton density fat fraction of four subsegments of the liver, pancreas, renal cortex, thoracic 12 and lumbar 1 vertebral body, and the area of subcutaneous adipose tissue and visceral adipose tissue at the level of lumbar 3, and explored their relationship with the prognosis of NAFLD. |
| 1856 | Computer 39
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MRI-based liver iron quantification using refocused gradient-echo (bSSFP): initial results |
| Arthur Peter Wunderlich1,2, Holger Cario3, Michael Götz2, Meinrad Beer1, and Stefan Andreas Schmidt1 | ||
1Diagnostic and Intervnetional Radiology, Ulm University, Medical Center, Ulm, Germany, 2Section for Experimental Radiology, Ulm University, Medical Center, Ulm, Germany, 3Department of Pediatrics and Adolescent Medicine, Ulm University, Medical Center, Ulm, Germany |
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Keywords: Liver, Hematologic, Iron overload Purpose: To evaluate the feasibility of using a balanced steady-state free precession sequence (bSSFP) to determine liver iron content (LIC). Methods: Thirty-five consecutive patients with liver iron overload were examined with bSSFP. Signal intensity ratios between liver parenchyma and paraspinal muscles were correlated with LIC reference values obtained using Ferriscan. Results: LIC values ranged from 24 to 756 µmol/g. The best SIR-to-LIC correlation was obtained with 3.5 ms repetition time and 17° excitation flip angle. Conclusion: bSSFP is suitable to determine LIC. Its advantages are high SNR efficiency and the ability to acquire the entire liver in a breath hold. |
| 1857 | Computer 40
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Impact of Iron Particle Sizes on R2* Estimation in Phantoms Mimicking Hepatic Iron Overload and Steatosis Using MRI |
| Sarah Brasher1, Annie Chan1, Ayaz Khan2, Zachary Abramson2, Cara Morin3, and Aaryani Tipirneni-Sajja1,2 | ||
1Biomedical Engineering, University of Memphis, Memphis, TN, United States, 2Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, United States, 3Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States |
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Keywords: Liver, Phantoms Size and concentration of iron will affect the dephasing of an MRI signal. However, iron particle size is often unaccounted for in phantom studies investigating iron overload. In this study, phantoms utilizing iron nanoparticles of different diameters were used to mimic in vivo iron deposits, and R2* quantification was analyzed using different signal models. Our results show that R2* was higher and more unstable in phantoms with iron particles of 500nm diameter in comparison to those with 250nm and 130nm particles potentially due to clustering. High iron concentrations and large iron particle sizes were also shown to confound fat quantification. |
| 1858 | Computer 41
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ADC as a quantitative value: classifying lymph node dignity in prostate cancer and inter-scanner variability |
| Jochen Bauer1, Maria Eveslage2, and Benjamin Noto1 | ||
1Department of Clinical Radiology, University of Muenster, Münster, Germany, 2Institute of Biostatistics and Clinical Research, University of Muenster, Muenster, Germany |
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Keywords: Prostate, Diffusion/other diffusion imaging techniques, lymph node, reproducibility Apparent diffusion coefficient (ADC) has potential as a quantitative imaging biomarker for differentiation of malignant from benign tissue. Here, we present a phantom and in vivo measurement of ADC reproducibility and a restrospective study in over 100 patients with prostate cancer to evaluate ADC as a classifier. |
| 1859 | Computer 42
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Prognostic Value of ADC Histogram Analysis in Men with High Risk Prostate Cancer Receiving Adjuvant Hormonal Therapy after Radical Prostatectomy |
| Kangwen He1, Xiaoyan Meng1, and Zhen Li1 | ||
1Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China |
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Keywords: Prostate, Cancer, high-risk prostate cancer, biochemical recurrence 直方图分析是医学图像的定量后处理方法，被认为在癌症管理中很有价值。我们使用表观扩散系数 (ADC) 图的直方图参数分析了在根治性前列腺切除术 (RP) 后接受辅助激素治疗 (AHT) 的高危前列腺癌 (PCa) 患者的结果。我们观察到，较低的 ADC 50 和较高的峰度可以独立预测较差的生化无复发生存期 (BCR-fs)，并且当添加直方图参数时，预后模型的性能会有所提高。我们的研究结果显示了 ADC 直方图分析在这一特定的 PCa 患者亚组中的增量预后价值。 |
| 1860 | Computer 43
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High-resolution PROPELLER T2-weighted imaging of the prostate with deep learning reconstruction: a phantom and clinical preliminary study |
| Atsushi Nakamoto1, Hiromitsu Onishi1, Takahiro Tsuboyama1, Takashi Ota1, Hideyuki Fukui1, Keigo Yano1, Kengo Kiso1, Toru Honda1, Shohei Matsumoto1, Mitsuaki Tatsumi1, Hiroyuki Tarewaki2, Yoshihiro Koyama2, Tetsuya Wakayama3, Xinzeng Wang4, and Noriyuki Tomiyama1 | ||
1Osaka University Graduate School of Medicine, Suita, Japan, 2Osaka University Hospital, Suita, Japan, 3GE Healthcare, Hino, Japan, 4GE Healthcare, Houston, TX, United States |
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Keywords: Prostate, Image Reconstruction, Deep learning reconstruction The image quality of high-resolution PROPELLER T2WI combined with deep learning reconstruction (DLR) in prostate MRI was evaluated by the phantom and clinical studies. In the phantom study, noise reduction was achieved by DLR, and spatial resolution was remarkably improved in PROPELLER T2WI compared to Cartesian T2WI. In the clinical study, DLR showed a significant improvement in signal-to-noise ratio, and the qualitative analyses showed reduced image noise and improved spatial resolution, with PROPELLER T2WI DLR images showing the highest overall image quality. PROPELLER T2WI with DLR would be promising technique to improve the image quality of T2WI in prostate MRI. |
| 1861 | Computer 44
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To evaluate the value of APT combined with T1 mapping in the differential diagnosis of prostate cancer and benign prostatic hyperplasia |
| Xiwei Li1, Lihua Chen1, Nan Wang1, Liangjie Lin2, Jiazheng Wang2, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare,Beijing, Beijing, China |
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Keywords: Cancer, Prostate At present, the prostate specific antigen (PSA) detection is a common method for screening prostate cancer. However, the specificity of PSA is very low, and it is easy to appear false positive. In recent years, multiparameter imaging has great value in the diagnosis of prostate diseases. Amide proton weighted（APTw） imaging and T1 mapping imaging can more accurately reflect the information of tumor tissue cell metabolism and pathological cell microstructure.The purpose of this study was to evaluate the value of APT and T1 measurements in the diagnosis of prostate cancer and benign prostatic hyperplasia. |
| 1862 | Computer 45
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Sub-differentiation of PI-RADS 3 lesions in TZ by advanced diffusion-weighted imaging to aid the biopsy decision process |
| Kun-Peng Zhou1, Jie Bian2, Hua-Bin Huang1, Chao Bu1, and Li-Zhi Xie3 | ||
1Radiology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China, 2Radiology, the second hospital of dalian medical university, dalian, China, 3GE Healthcare, Beijing, China, Beijing, China |
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Keywords: Prostate, Prostate The aim of this study was to investigate the use of advanced diffusion-weighted imaging (IVIM, stretched exponential model and DKI) to sub-differentiation of TZ PI-RADS 3 lesions and aid the biopsy decision process. Finally, the logistic model could correctly classify 89.39% of the subjects. The results of ROC analysis showed that AUC was 0.9197, CI 95%: 0.8736-0.9659. Sensitivity, specificity, positive predictive value and negative predictive value were 92.1%, 80.4%, 93.9% and 75.5%, respectively. Therefore, advanced diffusion-weighted imaging can predict PCa in TZ PI-RADS 3 lesions and inform the decision-making process of whether or not to perform a biopsy. |
| 1863 | Computer 46
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Retrospective T2 quantification from conventional weighted MRI of the prostate based on deep learning |
| Haoran Sun1,2, Lixia Wang1, Timothy Daskivich3, Shihan Qiu1,2, Fei Han1, Alessandro D'Agnolo4, Rola Saouaf5, Hyung Kim3, Debiao Li1,2, and Yibin Xie1 | ||
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, 3Minimally Invasive Urology, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 4Imaging/Nuclear Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 5Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, United States |
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Keywords: Prostate, Quantitative Imaging Prostate cancer (PCa) is one of the most common types of cancer with a considerable morbidity and mortality. Multiparametric MRI as a noninvasive imaging tool in PCa diagnosis has limitations. Recent studies suggest that quantitative T2 information is helpful in PCa diagnosis and lesion characterization but is not generally available due to the need for additional scans. Here, we developed a DL-based method to estimate T2 maps retrospectively from clinically acquired T1- and T2-weighted images. The developed technique has the potential to improve PCa diagnosis and lesion characterization using quantitative T2 information estimated from conventional clinical scans. |
| 1864 | Computer 47
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Study of deep-learning models for detection and localization of early-stage clinically significant prostate cancer on mpMRI |
| Zhaonan Sun1, Xiaoying Wang2, and Kexin Wang3 | ||
1Department of Radiology, Peking University First Hospital, Beijing, China, 2Department of Radiology, Peking University First Hospital, Beijing, China, 3School of Basic Medical Sciences, Capital Medical University, Beijing, China |
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Keywords: Prostate, Cancer The purpose of this study was to explore the best sequences for fully automated detection and localization of early-stage csPCa with a PSA range of 4-10 ng/mL.1628 prostate mpMRI examined with seven scanners were retrospectively enrolled. A training dataset (n=1428) was used to train models, i.e., a diffusion model was trained with diffusion-weighted imaging, and a biparametric model was trained with diffusion-weighted imaging and T2-weighted imaging. A hold-out test dataset (n=200) was reserved for validation. Our research shows that the diffusion model trained using ADC and DWI achieved best performance in detection and localization of early-stage csPCa. |
| 1865 | Computer 48
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Positive Predictive Value of Multiparametric MRI in Detection of Prostate cancer: A Tertiary Center Retrospective Study |
| Zachary Franks1, Jarrett Rosenberg1, Richard E. Fan1, Geoffrey Sonn1, and Pejman Ghanouni1 | ||
1Stanford Health Care, Stanford, CA, United States |
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Keywords: Prostate, Cancer Prostate Imaging Reporting and Data System (PIRADS) guidelines are used as a standard to help radiologists diminish variation in the acquisition, interpretation, and reporting of multiparametric magnetic resonance imaging (mpMRI) for prostate cancer diagnosis. However, the performance of mpMRI has been shown to vary across radiologists. A retrospective study was performed at a tertiary care center to assess the range of positive predictive values (PPV) across individual radiologists interpreting mpMRI in detecting any prostate cancer compared to targeted MR-US guided fusion biopsy pathology results. |
| 1866 | Computer 49
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Estimated quantitative relaxation mapping calculated from Multiple-Repetition Multiple-Echo (MRME) based DWI acquisition in prostate |
| Yu Ueda1, Tsutomu Tamada2, Ayumu Kido2, Kazunori Moriya2, Shigeru Shibata2, Mitsuru Takeuchi3, Akira Yamamoto2, Makoto Obara1, and Marc Van Cauteren4 | ||
1Philips Japan, Ltd., Tokyo, Japan, 2Department of Radiology, Kawasaki Medical School, Kurashiki, Japan, 3Department of Diagnostic Radiology, Radiolonet Tokai, Nagoya, Japan, 4Philips Healthcare, Business Unit MR, Tokyo, Japan |
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Keywords: Prostate, Quantitative Imaging It has been reported that synthetised DW images with short TR and zero TE, generated from quantitative relaxation parameters, improved lesion contrast in prostate. In this study, we investigate the added value of the estimated T1 and T2 values in differentiating benign from malignant lesion in suspicious cancers with PI-RADS category 3, potentially reducing unnecessary biopsies. In addition to the conventional DW images at b-values of 1000 and 2000, ADC map, and estimated T1 and T2 maps, synthetised DW images can be acquired in approximately 4 minutes, an acceptable scan time in clinical practice. |
| 1867 | Computer 50
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Studying variation in DWI MRI derived ADC for Prostate Cancer (PCa) with respect to Gleason Grade and location of PCa lesions |
| Sudhanya Chatterjee1, Dattesh Dayanand Shanbhag1, Aanchal Mongia1, Uday Patil1, Adele Courot2, Nicolas Gogin2, and Rakesh Mullick1 | ||
1GE Healthcare, Bangalore, India, 2GE Healthcare, Buc, France |
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Keywords: Prostate, Cancer, DWI, ADC, Gleason grade Diffusion weighted MRI (DWI) derived apparent diffusion coefficient (ADC) is a marker of the extent of restrictive diffusion in tissues. Higher Gleason Grade (GG) prostate cancer (PCa) lesions are known to exhibit higher restrictive diffusion. In this study we investigated whether ADC as a tissue biomarker follows the known histopathological behavior of PCa lesions by studying variations in ADC with respect to GG of PCa lesions and its location. We observe that ADC values of lesion voxels, although belonging to same GG, vary based on its location. |
| 1868 | Computer 51
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Accelerated diffusion-weighted imaging of the prostate employing Echo Planar Imaging with Compressed SENSE based reconstruction (EPICS) |
| Yannik Christian Layer1, Petra Muertz1, Leon Bischoff1, Christoph Katemann2, Kilian Weiss2, Julian Luetkens1, Ulrike Attenberger1, and Claus Christian Pieper1 | ||
1Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany, 2Philips GmbH Market DACH, Hamburg, Germany |
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Keywords: Prostate, Tumor The aim of this single-center, prospective study was to evaluate an accelerated diffusion-weighted imaging sequence of the prostate using Echo Planar Imaging with Compressed SENSE based reconstruction and assess its performance in comparison to conventional DWI. The evaluated sequences considerably reduced the total DWI acquisition time by 43% and achieved overall good image quality without significant differences compared to the conventional DWI sequence. The reduced scan time allows for an increase of the overall number of scanned patients as well as increased patient convenience with less potential of motion artifacts and therefore benefits care of patients with suspected prostate cancer. |
| 1869 | Computer 52
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Improving Image Quality While Reducing Geometric Distortion of Diffusion-weighted MRI in prostate: Comparison of FOCUS-MUSE, MUSE, and SS DWI |
| Yanling Chen1, Huanjun Wang 1, and Yan Guo1 | ||
1Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China |
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Keywords: Prostate, Diffusion/other diffusion imaging techniques The current study investigated the qualitative and quantitative image quality of three DWI sequences of the prostate: SS DWI, MUSE DWI and a new DWI sequence named FOCUS-MUSE DWI. Twenty-three healthy volunteers were enrolled. The diagnostic image quality score was assessed by two radiologists on the three DWI sequences. And the ADC values in the peripheral and transitional zone were measured together with the Dice Coefficient calculated for quantitative comparison. Our results indicated that FOCUS-MUSE DWI had a superior image quality and more stable ADC measurement compared with SS DWI and MUSE DWI. The geometric distortion level was also reduced. |
| 1870 | Computer 53
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Sub-differentiation of intermediate risk prostate cancer by advanced diffusion-weighted imaging |
| Kun-Peng Zhou1, Hua-Bin Huang1, Long Liu1, Jie Bian2, and Li-Zhi Xie3 | ||
1Radiology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China, 2Radiology, The second hospital of Dalian medical university, Dlian, China, 3GE Healthcare, Beijing, Beijing, China |
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Keywords: Prostate, Prostate The aim of this study was to investigate the use of advanced diffusion-weighted imaging to sub-differentiation of intermediate risk group PCa and aid treatment decision process. Finally, the logistic model was statistically significant, χ2=90.969, p<0.001. The model could correctly classify 86.40% of the subjects. The results of ROC analysis showed that area AUC was 0.9429, CI 95%: 0.9054-0.9805. Sensitivity, specificity, positive predictive value and negative predictive value were 88.06%, 84.31%, 88.06% and 84.31%, respectively. The results of this research may indicate that advanced diffusion-weighted imaging can sub-differentiate intermediate risk group PCa and aid the decision process of treatment. |
| 1871 | Computer 54
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Initial exploration of the potential of diffusion-weighted MRS for the evaluation of prostate pathology |
| Rudy Rizzo1,2, Angeliki Stamatelatou3, Kadir Simsek4, Jack J.A. Van Asten3, Roland Kreis1,2, Arend Heerschap3, and Tom Scheenen3 | ||
1Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland, 2Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland, 3Department of Medical Imaging, Radboud University Medical Center, Nijmegen, Netherlands, 4Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom |
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Keywords: Prostate, Cancer Prostate pathologies like cancer and prostatitis cause alterations in tissue microstructure that are reflected in signal variations on diffusion-weighted MRI or MR relaxometry. Diffusion-weighted MR Spectroscopy (DW-MRS) allows specific characterization of tissue microstructure by quantifying both concentration and diffusion properties of MR-observable metabolites. In this work, an optimized DW-MRS protocol tailored to overcome the inherent challenges of prostate measurements is deployed. Initial results on potential alterations of metabolite concentrations and diffusivities (ADCs) are reported for prostate cancer and prostatitis. The preliminary findings are tentatively explained by microstructure alterations of the prostate tissue. |
| 1872 | Computer 55
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Reverse Encoding Distortion Correction for DWI: Improving Image Quality and Differention Capability of Malignant from Benign Prostatic Areas |
| Takahiro Ueda1, Yoshiharu Ohno1,2, Maiko Shinohara3, Kaori Yamamoto3, Masato Ikedo3, Masao Yui3, Akiyoshi Iwase4, Minami Furuta1, Yuki Obama1, Hiroyuki Nagata2, Hirotaka Ikeda1, Yoshiyuki Ozawa1, and Hiroshi Toyama1 | ||
1Radiology, Fujita Health University School of Medicine, Toyoake, Japan, 2Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan, 3Canon Medical Systems Corporation, Otawara, Japan, 4Fujita Health University Hospital, Toyoake, Japan |
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Keywords: Prostate, Cancer We hypothesize that RDC is useful for image quality and diagnostic performance improvements on DWI with b value at 1500 s/mm2 in suspected prostatic cancer patients, although there was little influence of RDC on DWI at in vitro study. The purpose of this study was to determine the influence of RDC for ADC measurement at in vitro study and its’ utility for improving image quality and diagnostic performance of malignant from benign prostatic areas on prostatic DWI as in vivo study. |
| 1873 | Computer 56
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A clinical validation study of synthetic high b-value reduced filed-of-view diffusion weighted imaging on prostate |
| Qiqi Zhou1, Weiyin Vivian Liu2, Qian Tang3, Ling Sang1, Wen Chen1, and Lin Xu1 | ||
1Department of Radiology,Taihe Hospital,Hubei University of Medicine, Hubei, China, 2GE Healthcare, MR Research, Beijing, China, 3Department of Biomedical Engineering,Hubei University of Medicine, Hubei, China |
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Keywords: Prostate, Cancer High b-value diffusion weighted imaging is clinically challenging due to its inherently low SNR and prone to presence of severe eddy current distortion due to utility of large diffusion sensitization gradient, not to mentioned high-resolution prostate DWI .In our study, 5b-protocol rFOV-syDWIswith pros of short scan time provided better lesion clarity and higher image quality.Moreover, synthetic ADCs offered reliable and satisfactory diagnostic value as scanned 13b-protocol DWIs despite significant difference of mean and median were found between syADCb=1500 and sADCb=1500 in PCa but not in hyperplasia, indicating diagnosis withrFOV-syADCs should be careful when referring to rFOV-sADCs. |
| 1874 | Computer 57
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Comparison of calculated DWI and single-shot EPI DWI for prostate cancer detection at 3T |
| TSUTOMU TAMADA1, YUICHI KOJIMA1, AYUMU KIDO1, YU UEDA2, MITSURU TAKEUCHI3, KENTARO ONO1, MIDORI YAMAMOTO1, AKIRA YAMAMOTO1, and YOSHIHIKO FUKUKURA1 | ||
1Radiology, Kawasaki Medical School, Kurashiki-city, Japan, 2Philips Japan, Tokyo, Japan, 3Radiology, Radiolonet Tokai, Nagoya, Japan |
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Keywords: Prostate, Prostate We compared diagnostic performance of clinically significant PC (csPC) between calculated DWI (calDWI) which enable to synthesize DW images with any TR and TE and native acquired single-shot EPI DWI (nDWI). The calDWI was generated with TR of 1000 and TE of 0 ms. Three radiologists independently assessed eight regions of each prostate by PI-RADS v 2.1 DWI score. For diagnostic performance of csPC, AUC was comparable between calDWI and nDWI in two readers. The diagnostic specificity was significantly higher in calDWI than in nDWI in two readers. Compared with nDWI, calDWI had similar or higher diagnostic performance in csPC. |
| 1875 | Computer 58
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Primary prostate cancer characterisation using internal references for 23Na MRI quantification |
| Anne Adlung1,2, Fabian Tollens3, Anika Strittmatter1,2, Niklas Westhoff4, Daniel Hausmann5, Stefan O Schoenberg3, Lothar R Schad1,2, Dominik Nörenberg3, and Frank G Zöllner1,2 | ||
1Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 2Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 3Department of Radiology and Nuclear Medicine, Mannheim University Medical Centre, Mannheim, Germany, 4Department of Urology and Urosurgery, Mannheim University Medical Centre, Mannheim, Germany, 5Department of Radiology, Kantonsspital Baden, Baden, Switzerland |
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Keywords: Prostate, Tumor Aim of this prospective study was to evaluate 23Na MRI of 36 patients with suspected prostate cancer and quantify tissue sodium concentration (TSC) based on internal references. TSC reference regions were defined within both femoral blood vessels (FBV), where TSC showed no significant differences between both sides (3.3±2.2 mM, p=0.076). TSC in the prostate was 39.0±5.3 mM; significantly higher in the peripheral than in the transitional zone (p=0.0004, mean difference 4.7±3.5 mM). Nine lesions were segmented and showed mean TSC of 32.2±5.5, significantly lower than contralateral (p=0.0181). TSC might represent a quantitative biomarker that could improve prostate lesion characterization. |
| 1876 | Computer 59
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Magnetic Resonance Imaging-based Radiomics for Clinically Significant Prostate Cancer in PSA Gray Zone to Reduce Unnecessary Biopsies |
| Xiaomeng Qiao1, Chenhan Hu1, Jie Bao1, Ximing Wang1, Yang Song2, and Yunzhu Wu2 | ||
1Department of radiology, First Affiliated Hospital of Soochow University, Suzhou, China, 2MR Scientific Marketing, Siemens Healthineers Ltd, Shanghai, China |
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Keywords: Prostate, Radiomics, Clinically significant prostate cancer; Prostate-specific antigen Radiomics was a promising method for csPCa with PSA levels in the gray zone and outperformed PI-RADS assessments. |
| 1877 | Computer 60
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The diagnostic value of synthetic MRI combined with rFOV IVIM in transition zone prostate cancer |
| Qiqi Zhou1, Weiyin Vivian Liu2, Qian Tang3, Ling Sang1, Wen Chen1, and Lin Xu1 | ||
1Department of Radiology,Taihe Hospital,Hubei University of Medicine, Hubei, China, 2GE Healthcare, MR Research, Beijing, China, 3Department of Biomedical Engineering,Hubei University of Medicine, Hubei, China |
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Keywords: Prostate, Cancer This study investigated the value of relaxation time in synthetic MRI imaging combined with intravoxel incoherent motion (IVIM) imaging in differentiating transitional zone prostate cancer from benign prostatic hyperplasia (BPH). Finally, it was found that T2 value in synthetic MRI imaging and D value in IVIM imaging had higher diagnostic sensitivity and specificity, and their combined diagnostic performance was higher. It is helpful for the differential diagnosis of BPH and PCa in transitional zone. |
| 2036 | Computer 41
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Automatic Couinaud segmentation in Intravenous-Phase Enhanced MRI images by key point detection with deep neural network |
| Dong Miao1,2, Xue Ren3,4, Ying Zhao3,4, AiLian Liu3,4, Yu Yao1,2, Qihao Xu3,4, and Qingwei Song3,4 | ||
1Chengdu Institute of Computer Application, Chinese Academy of Sciences, Chengdu, China, 2School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China, 3Department of Radiology, First Affiliated Hospital of Dalian Medical University, Dalian, China, 4Dalian Engineering Research Center for Artificial Intelligence in Medical Imaging, Dalian, China |
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Keywords: Liver, Liver, Couinaud segmentation This study presents an effective framework for automatic Couinaud liver segmentation in Intravenous-Phase Enhanced MRI images, without the time-consuming delineation of each segment or identifying different branches of the vessel system. We define seven key points located at the bifurcations of the vascular system to divide liver into Couinaud segments II-VIII. We train a key point detection model to locate the coordinate of key point. The overall dice score is 81.17% and average surface distance is 2.35mm in test set. |
| 2037 | Computer 42
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Noninvasive direct assessment of the left gastric vein using 4D flow MRI for risk stratification of esophageal variceal bleeding |
| Atsushi Higaki1, Yoshihiko Fukukura1, Akihiko Kanki1, Akira Yamamoto1, kazunori Moriya1, and Tsutomu Tamada1 | ||
1Radiology, Kawasaki Medical School, Okayama, Japan |
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Keywords: Liver, Liver This study focused on the feasibility of 4D flow MRI with low-velocity encoding sensitivity as a non-invasive tool for direct estimation of the left gastric vein and stratification of bleeding risk of esophageal varices. Our study showed that the development of esophageal varices was associated with decreased and increased net flow volumes in the left gastric and azygos veins, respectively. These results suggest the promise of 4D flow MRI with low-velocity encoding sensitivity as a non-invasive and accurate method for stratifying the bleeding risk of esophageal varices. |
| 2038 | Computer 43
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Assessing Liver Fibrosis with Diffusion-weighted MRI-based Virtual Elastography |
| Li Yang1, Caixia Fu2, and Mengsu Zeng3 | ||
1Department of Radiology, Zhongshan Hospital,Fudan University, Shanghai, China, 2MR Application Development, Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China, 3Zhongshan Hospitai,Fudan University, shanghai, China |
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Keywords: Liver, Diffusion/other diffusion imaging techniques Recently, diffusion-weighted (DW) imaging–based elastography was proposed for noninvasive liver staging by converting a shifted apparent diffusion coefficient (sADC) to tissue elasticity on the basis of two b values (200 and 1500sec/mm2). We retrospectively calculated sADC from DW MRI and converted it to DW MRI–based virtual shear modulus (µDiff) for evaluating liver fibrosis in 90 patients. Our results showed the µDiff was significantly correlated with liver fibrosis stage, and the areas under the curves were 0.864 and 0.821 for significant and advanced fibrosis, respectively, indicating DW imaging–based elastography is a promising method for predicting liver fibrosis. |
| 2039 | Computer 44
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Magnetic Resonance Elastography: A Comparison with Virtual Diffusion Derived Elastography |
| Jonatan Eriksson1,2, Wolf Bartholomä2,3, Nils Dahlström2,3, Jens Tellman1,2, Stergios Kechagias4, Patrik Nasr4, Mattias Ekstedt2,4, Peter Lundberg1,2, and Johan Kihlberg2,3 | ||
1Department of Medical Radiation Physics, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden, 2Center for Medical Imaging Science and Visualization, Linköping University, Linköping, Sweden, 3Department of Radiology in Linköping and Department of Health Medicine and Caring Sciences, Linköping University, Linköping, Sweden, 4Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden, Linköping, Sweden |
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Keywords: Liver, Elastography, MRE, Diffusion A virtual manner of determining apparent stiffness values from diffusion images, so called ‘vMRE’, was evaluated in this study which included both healthy subjects and patients with Non-Alcoholic Fatty Liver Disease (NAFLD). No association was observed between true MR-Elastography (MRE) and vMRE. However, the difference between MRE and vMRE was more strongly correlated with T2*. Iron deposition is not uncommon in patients with NAFLD, and for that reason, a spin echo-MRE sequence was used, instead of the gradient-based sequence that has been used previously. Iron deposition in liver shortens T2*, which can also affect diffusion images and the vMRE. |
| 2040 | Computer 45
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Whole Upper Abdominal T1 Mapping on Free-Breathing 3D Look-Looker Sequence using Radial Sampling Acquisition: A Phantom and Volunteer Study |
| Tomohiro Noda1, Keitaro Sofue2, Ryuji Shimada1, Yu Ueda3, Yoshiko Ueno2, Yuichiro Somiya1, Shintaro Horii1, Akiko Kusaka1, and Takamichi Murakami2 | ||
1Center of Radiology and Radiation Oncology, Kobe University Hospital, Kobe, Japan, 2Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan, 3Philips Japan MR Clinical Science, Tokyo, Japan |
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Keywords: Liver, Quantitative Imaging, T1mapping We developed a free-breathing 3D Look-Locker sequence with radial sampling acquisition (3D-Radial LL) to acquire T1 map of the whole upper abdomen. To evaluate the quantitative accuracy, T1 values obtained from 3D-Radial LL and modified Look-Locker inversion recovery (MOLLI) in a phantom and volunteers were compared. The phantom study showed excellent correlation regarding T1 values between on the MOLLI and 3D-Radial LL. In the volunteer study, the difference in T1 values were within 6% for the liver, pancreas, spleen, and paraspinal muscle. The 3D-Radial LL enables accurate measurement of T1 values in the upper abdomen. |
| 2041 | Computer 46
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Multicompartmental restriction spectrum imaging model for characterizing liver fibrosis in a mouse model |
| Yeyu Cai1, Jiayi Liu2, Ziyi Zhou3, Tian Chai1, Liyun Zheng4, and Yongming Dai5 | ||
1Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, China, 2Department of Oncology, Second Xiangya Hospital, Central South University, Changsha, China, 3Department of Radiology, Maternal and Child Health Hospital of Hubei Province, Wuhan, China, 4Shenzhen United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China, 5MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Liver, Animals Liver fibrosis is a serious medical issue and noninvasive technique, such as magnetic resonance imaging (MRI), is required to identify and quantify liver fibrosis. Recently, several advanced diffusion MRI signal models that employ additional parameters to describe diffusion signals from complex microstructural compartments have been developed. The purpose of this study was to apply the multicompartmental restriction spectrum imaging (RSI) model to evaluate carbon tetrachloride (CCl4)-induced liver fibrosis in mice. The optimal model to characterize liver fibrosis was the 4-compartment RSI model. Compared to control groups, mice with liver fibrosis exhibited significantly lower ADC and C3, but higher C1. |
| 2042 | Computer 47
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The Effects of Menstrual Cycle on Hepatic Glycogen Stores Before and After Exercise: Preliminary Data From a 13C MRS Study |
| Stephen Bawden1,2, Louise Dexter2, Tomoka Matsuda3, Mehri Kaviani2, Penny Gowland2, and Guruprasad P Aithal1 | ||
1Nottingham Digestive Diseases Centre, NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom, 2Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom, 3Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo, Japan |
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Keywords: Liver, Metabolism The aim of this study was to investigate the effects of hormonal changes throughout the menstrual cycle on moderate exercise induced liver glycogen changes in healthy women. Preliminary results show variation in hepatic glycogen stores and changes following exercise throughout the menstrual cycle. |
| 2043 | Computer 48
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Evaluating liver fibrosis in chronic hepatitis B patients using multi-compartment restriction spectrum imaging |
| Jing Zhang1, Kaifan Yang1, Yiyuan Zhu1, Liyun Zheng2, Yongming Dai3, and Yikai Xu1 | ||
1Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China, 2Shenzhen United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China, 3MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Liver, Diffusion/other diffusion imaging techniques This study evaluated the feasibility of the restriction spectrum imaging (RSI) model in the characterization and staging of liver fibrosis. The results demonstrated that the four-compartment model emerged as the best option and the C4 derived from the four-compartment model outperformed conventional apparent diffusion coefficient (ADC) values. Therefore, the four-compartment RSI model could be a noninvasive and in vivo diagnostic technique in the evaluation of chronic hepatitis, which is conducive to treatment decisions and patient management. |
| 2044 | Computer 49
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Repeatability and reliability of liver quantitative maps in differentiation of hepatic fibrosis stage |
| Tianzhu Liu1, Lesheng Huang1, Weiyin Vivian Liu2, and Jun Chen1 | ||
1Guangdong Hospital of Traditional Chinese Medicine, Zhuhai, China, 2MR Research China, GE Healthcare, Beijing, China |
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Keywords: Liver, Data Analysis Grading liver fibrosis using intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) have been shown inconsistent results possibly for differences between liver segments and recruited types of patients. We systematically evaluated all measurements retrieved based on liver segments and classified by stage of liver fibrosis, and inconsistent repeatability and reliability of IVIM-derived values were found, attributing to inter- and intra- manual measurement bias and inhomogeneous distribution of tissue components such as fibrosis. ROC curve analysis showed moderate diagnostic efficiency between early hepatic fibrosis (EHF) and advanced HF (AHF), but not HCs from EHF based on IVIM-derived parameters with acceptable repeatability and reliability. |
| 2045 | Computer 50
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Harmonized multi-site MRI-based quantification of human liver fat and stiffness: a pilot study |
| Maninder Singh1, Owen T Carmichael1, Adil Bashir2, Anne M Russel3, Mark Bolding4, David T Redden3, Judd Storr5, William R Willoughby6, Candace Howard Claudio5, Daniel S Hsia7, Robert P Kimberly8, Meagan E Gray6, Eric Ravussin7,9, and Thomas S Denny2 | ||
1Biomedical Imaging Center, Pennington Biomedical Research Center, Baton Rouge, LA, United States, 2Auburn University, Auburn, AL, United States, 3University of Alabama, Birmingham, AL, United States, 4University of Alabama Medical Center, Birmingham, AL, United States, 5The University of Mississippi Medical Center, Jackson, MS, United States, 6The University of Alabama Medical Center, Birmingham, AL, United States, 7Pennington Biomedical Research Center, Baton Rouge, LA, United States, 8The University of Alabama School of Medicine, Birmingham, AL, United States, 9The University of Alabama, Birmingham, AL, United States |
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Keywords: Liver, Liver, Nonalcoholic Fatty Liver Disease; Magnetic Resonance Spectroscopy; Elasticity Imaging Techniques; Magnetic Resonance Imaging Non-alcoholic fatty liver disease (NAFLD) is a leading cause of end-stage liver disease. NAFLD diagnosis and follow-up relies on a combination of clinical data, liver imaging, and/or liver biopsy. However, inter-site imaging differences impede diagnostic consistency and reduce the repeatability of the multi-site clinical trials necessary to develop effective treatments. The goal of this pilot study was to harmonize commercially available 3T magnetic resonance imaging (MRI) measurements of liver fat and stiffness in human participants across academic sites and MRI vendors. |
| 2046 | Computer 51
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Influence of fat deposition in T1 measurement of the liver: The value of T1 mapping with water component only using the 2D DIXON Look-Locker method |
| Mayumi Higashi1, Masahiro Tanabe1, Masatoshi Yamane2, Mahesh B. Keerthivasan3, Hiroshi Imai 4, Teppei Yonezawa2, and Katsuyoshi Ito1 | ||
1Department of Radiology, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan, 2Department of Radiological Technology, Yamaguchi University Hospital, Ube, Yamaguchi, Japan, 3MR R&D Collaborations, Siemens Medical Solutions USA Inc, New York, NY, United States, 4MR Research and Collaboration, Siemens Healthcare K.K., Tokyo, Japan |
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Keywords: Liver, Liver The purpose of this study was to elucidate the clinical importance of T1 mapping of the liver with the water component only using the 2D DIXON Look-Locker sequence. T1 values of the liver were compared among T1 maps obtained by IP, OP and DIXON Look-Locker sequences. T1 values of the liver on the T1 maps obtained from IP- and OP-based sequences were significantly influenced by an increased fat component. In contrast, the T1 value of the liver on the T1 maps with the water component only calculated from DIXON water images was unlikely to be influenced by hepatic steatosis. |
| 2047 | Computer 52
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In vivo investigation of a Healthy Liver Lipid composition by 2D L-COSY Using 3T |
| Rajakumar Nagarajan1, Andres Saucedo 2, and M Albert Thomas2 | ||
1Human Magnetic Resonance Center, University of Massachusetts, Amherst MA, Amherst, MA, United States, 2Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States |
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Keywords: Liver, Spectroscopy In vivo magnetic resonance spectroscopy has the potential to provide information about both the quantity and composition of fat within the liver. We have demonstrated the feasibility of detecting cross peaks using the 2D L-COSY technique at 3T in a healthy liver. This can be used to study fatty liver to derive quantitative indexes. |
| 2048 | Computer 53
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Feasibility of fat quantification of in vivo mouse liver at 9.4T |
| Zhongmiao Wang1, Tingting Bo2,3,4, Chen Chen5, Yuqin Min6, Xinxin Cai3, Huimin Lin3, Hongxia Lei1, Renkuan Zhai1, Jiqiu Wang2, Fuhua Yan3, and Guang Ning2 | ||
1Wuhan United Imaging Life Science Instrument Co., Ltd., Wuhan, China, 2Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 4Clinical Neuroscience Center, Ruijin Hospital Luwan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 5United imaging healthcare, Shanghai, China, 6Institute for medical imaging technology, Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China |
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Keywords: Liver, Liver The feasibility of determination of fat in living mouse liver is demonstrated at 9.4T using gradient-echo sequence and the Fat Analysis and Calculation Technique (FACT)—Transition Region Extraction (TREE) algorithm. The proton density fat fraction map is obtained, which is positively correlated with steatosis. The proposed technique is a promising non-invasive tool for diagnosing fatty liver diseases. |
| 2049 | Computer 54
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MR-based segmental quantification of hepatic lipid content in patients with suspected iron overload |
| Arthur Peter Wunderlich1,2, Holger Cario3, Stephan Kannengießer4, Veronika Grunau1, Michael Götz2, Meinrad Beer1, and Stefan Andreas Schmidt1 | ||
1Diagnostic and Intervnetional Radiology, Ulm University, Medical Center, Ulm, Germany, 2Section for Experimental Radiology, Ulm University, Medical Center, Ulm, Germany, 3Department of Pediatrics and Adolescent Medicine, Ulm University, Medical Center, Ulm, Germany, 4MRI Development, Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: Liver, Fat, segmental hepatic fat distribution Purpose To investigate the segmental distribution of hepatic fat fraction in hematologic patients. Methods The liver of 44 patients examined with 3D MR multi-echo gradient-echo was segmented semiautomatically and subdivided into nine segments. Segmental fat content was determined on PDFF maps and tested for statistically significant differences. Results Highly significant differences were detected. Segments 1 to 3 had the highest fat content, segments 7 and 8 the lowest. Conclusions Our results suggest that liver segments may represent functional aspects in fat metabolism and/or storage in addition to their anatomical significance. Fat distribution in hematologic patients was similar to living donors. |
| 2050 | Computer 55
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Simulation of Short Breath-hold Steady State MultiParameter MRS in Liver. |
| Gavin Hamilton1, Walter C Henderson1, Danielle N Batakis1, Lael Ceriani1, Ashley L Louie1, Yesenia Covarrubias1, Celene Gonzalez1, Michael S Middleton1, Scott B Reeder2, Kathryn J Fowler1, and Claude B Sirlin1 | ||
1Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA, United States, 2Department of Radiology, University of Wisconsin, Madison, Madison, WI, United States |
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Keywords: Liver, Spectroscopy To permit simultaneous T1w, T1f, T2w, T2f and proton density fat fraction (PDFF) estimation, we developed a single-average, 21 s, single-breath-hold, Steady-state, Multi-Parameter MRS (SMP MRS) sequence. However, a 21 s breath-hold may be challenging especially children, such as pediatric subjects, so we simulated a shorter 12 s breath-hold sequence by removing the longer TR and TE values. We found good agreement for T1w, T2w and PDFF between the full 21 s SMP and simulated 21 s sequences, suggesting the shorter 12 s SMP MRS can be run instead of the full 21 s sequence. |
| 2051 | Computer 56
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Performing Quality Control of your MRI Liver Fat/Iron Quantification Studies: A Critical Requirement |
| Farid Hajibonabi1, Sadhna Nandwana1, Puneet Sharma1, Patricia Balthazar1, Amir Hossein Davarpanah1, Courtney Coursey Moreno1, and Melina Pectasides1 | ||
1Radiology and Imaging Sciences, Emory University, Atlanta, GA, United States |
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Keywords: Liver, Quantitative Imaging, Quality Control Liver fat/iron quantification with MRI is essential for detection of iron/fat overload that can lead to NAFLD and cirrhosis. The two widely used tools for this purpose are chemical shift-encoded MR sequences and HISTO. Both methods can fail due to various preventable technical factors. We analyzed various quality factors of technical acceptability for these studies and determined that >25% of all quantification studies performed over six months at our institution were technically unacceptable or had data handling errors. We then developed a checklist for MR technologists to confirm acceptability of the study and decrease potential errors before sending for interpretation. |
| 2052 | Computer 57
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Association Between NAFLD and Blood Flow: Portal 4D-flow, 2D-flow, Hepatic Elasticity and Spleen Volume |
| Jonatan Eriksson1,2, Wolf Bartholomä2,3, Nils Dahlström2,3, Jens Tellman1,2, Stergios Kechagias4, Patrik Nasr4, Mattias Ekstedt2,4, Johan Kihlberg2,3, and Peter Lundberg1,2 | ||
1Department of Medical Radiation Physics, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden, 2Center for Medical Imaging Science and Visualization, Linköping University, Linköping, Sweden, 3Department of Radiology in Linköping and Department of Health Medicine and Caring Sciences, Linköping University, Linköping, Sweden, 4Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden, Linköping, Sweden |
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Keywords: Liver, Blood vessels, 4D Flow, 2D Flow, MRE, Spleen A group of 6 healthy and 9 NAFLD-patients underwent a multi-parametric MRI examination, including 4D-, 2D-flow, MRE and relaxometry. 2D-flow results were successfully extracted from 4D-flow data, showing good match with 2D-flow, indicating that 4D-flow provides the opportunity to both provide regular flow values as well as additional information e.g. flow visualizations. Correlation between 4D-flow and spleen volume indicate that 4D-flow could provide markers for early portal hypertension. |
| 2053 | Computer 58
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Liver regeneration of residual right lobe after left lateral sectionectomy in living liver donors: a pilot study based on IVIM and T2* mapping MRI |
| shuangshuang xie1, caixin qiu1, and wen shen1 | ||
1Tianjin First Central Hospital, Tianjin, China |
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Keywords: Liver, Liver, liver regeneration This study investigated the dynamic changes of residual right liver lobe after left lateral sectionectomy (LLS) and the potential value of IVIM and T2* mapping in evaluation of liver regeneration in living liver donors. All IVIM indexes of right liver lobe showed no obvious changes after surgery, but liver T2* values increased significantly at 2 weeks after surgery, and kept increasing gradually from week 2 to 8. Liver T2* values correlated moderately with liver volume, it may be a good substitute to liver volume in evaluating liver regeneration |
| 2054 | Computer 59
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3D liver R2, R2* and quantitative susceptibility maps in a single breath-hold |
| Chao Li1, Jiahao Li2, Jinwei Zhang2, Pascal Spincemaille3, Thanh Nguyen3, and Yi Wang3 | ||
1Applied and engineering physics, Cornell university, New York, NY, United States, 2Biomedical engineering, Cornell university, New York, NY, United States, 3Weill Cornell Medicine, New York, NY, United States |
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Keywords: Liver, Multi-Contrast In this work, a 3D stack-of-spiral spoiled gradient echo sequence was implemented using T2 prepared single and multi-echo gradient echo acquisition for simultaneous R2, R2* and QSM mapping in a single breath hold within 24 secs. |
| 2055 | Computer 60
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Liver R2* with magnitude fitting in iron-overload patients – initial results on agreement between protocol settings and between 1.5T and 3T |
| Stephan A.R. Kannengiesser1, Arthur P. Wunderlich2,3, Xiaodong Zhong4, Dominik Nickel1, Holger Cario5, Michael Götz2,3, Meinrad Beer3, and Stefan A. Schmidt2 | ||
1MR Application Pevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 2Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, Ulm, Germany, 3Section for Experimental Radiology, Ulm University Medical Center, Ulm, Germany, 4MR R&D Collaborations, Siemens Medical Solutions, Inc., Los Angeles, CA, United States, 5Department of Pediatrics and Adolescent Medicine, Ulm University Medical Center, Ulm, Germany |
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Keywords: Liver, Quantitative Imaging, R2*, iron content Purpose: Preliminary liver R2* comparison in patients across field strengths and protocols. Methods: 3T R2* from 3D multi-gradient echo data with magnitude fitting was mapped to 1.5T R2*. Limits of agreement were calculated. Results: Converted 3T R2* agreed well with 1.5T R2*. Best 95% limits of agreement were [-4.9% 7.6%] for 1.5T R2* [166s-1 865s-1] and [-34.5% 41.7%] for [49s-1. 865s-1]. Conclusion: 3T R2* agrees well with 1.5T R2* and can be used interchangeably for 3T R2* between 328s-1 and 1699s-1 with an optimized protocol. For low R2* values, protocols with longer echo times should be used. |
| 2056 | Computer 61
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Feasibility of Prostate MR Fingerprinting and ADC Mapping in the quantitative characterization of malignant transition zone lesions |
| Anna Lavrova1, Ananya Panda2, Sarah E. Wido3, Lee Ponsky3, Maria Masotti4, Thomas Chenevert1, Yun Jiang1, Leonardo Kayat Bittencourt5, Anupama Ramachandran1, Katherine Wright1, Nicole Seiberlich1, Hero Hussain1, and Vikas Gulani1 | ||
1Department of Radiology, University of Michigan, Ann Arbor, MI, United States, 2Department of Diagnostic and Interventional Radiology, All Indi Institute of Medical Sciences, Jodhpur, India, 3Department of Urology, Case Western Reserve University, Cleveland, OH, United States, 4Department of Biostatistics, University of Michigan, Ann Arbor, MI, United States, 5Department of Radiology, Case Western Reserve University, Cleveland, OH, United States |
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Keywords: Prostate, Cancer The purpose of this study is to assess the feasibility of the use of MR Fingerprinting combined with ADC mapping for characterizing prostate transition zone (TZ) cancers. This quantitative approach has shown promising results in differentiating prostate cancer from normal prostate tissue in peripheral and transition zones, and in separating low from intermediate/high grade tumors in the PZ. Our study aimed to confirm previous observations of quantitative differences in T1, T2 and ADC between cancers and normal appearing TZ, and to assess the utility of MRF-derived T1 and T2 mapping in distinguishing low grade lesions from high/intermediate-grade cancers in TZ. |
| 2057 | Computer 62
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Detection of sparse and dense prostate cancers using bi-parametric MRI combined with radiomics features |
| Bingni Zhou 1,2, Zhangzhe Chen1,2, Rucuan Chen1,2, Wei Liu1,2, Hualei Gan2,3, Yong Zhang4, Liangping Zhou1,2, and Xiaohang Liu1,2 | ||
1Radiology, Fudan University Shanghai Cancer Center, Shanghai, China, 2Oncology, Shanghai Medical College of Fudan University, Shanghai, China, 3Pathology, Fudan University Shanghai Cancer Center, Shanghai, China, 4GE Healthcare, Shanghai, China |
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Keywords: Prostate, Radiomics This is a preliminary study which combined bi-parametric MRI with radiomics feature to detect sparse and dense prostate cancers. Fifty-five patients underwent diffusion weighted and T2 weighted imaging. One hundred and nine peripheral zone (PZ) tumors were reviewed using whole-mount histologic findings. The total number of 381 radiomics features were extracted to construct the models for differentiation. Dense tumors showed ADC values significantly lower than sparse tumors and normal PZ tissues. ADC alone should provide sufficient diagnosis efficiency. However, radiomics features can significantly improve the detection of sparse tumors which showed the similar ADC values as compared to normal tissues. |
| 2058 | Computer 63
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Kaplan-Meier survival analysis of the DCE-MRI-based radiomics in the prognosis of prostate cancer |
| Ting Huang1, Zhiqiang Chen2, Shaoru Zhang1, Zhuo Wang1, Xiaohua Chen1, Yunshu Zhou1, Xiaocheng Wei3, and Aijun Wang4 | ||
1Clinical medicine school of Ningxia Medical University, Yinchuan, China, 2Department of Radiology, the First Hospital Affiliated to Hainan Medical College, Haikou, China, 3GE Healthcare, Beijing, China, 4Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan, China |
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Keywords: Prostate, DSC & DCE Perfusion In this study, we aim to investigate whether DCE-MRI-based radiomics can be used in the prognosis of prostate cancer. Rad-score in which DEC-MRI-based radiomics labels were established by screening radiomics features GLCM_Correlation and shape_Flatness through Lasso regression was significantly different between the death group and the censor group. It was concluded that DCE-MRI-based radiomics can be used as prognostic factors for prostate cancer. |
| 2059 | Computer 64
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Development of an external butterfly coil for sodium (23Na) MRI of human prostate cancer |
| Josephine L Tan1,2,3, Vibhuti Kalia4,5, Jonathan D Thiessen1,2, Timothy J Scholl1,3,6, and Alireza Akbari1 | ||
1Medical Biophysics, Western University, London, ON, Canada, 2Lawson Imaging, Lawson Health Research Institute, London, ON, Canada, 3Robarts Research Institute, London, ON, Canada, 4Medical Imaging, Western University, London, ON, Canada, 5Medical Imaging, St. Joseph's Health Care, London, ON, Canada, 6Ontario Institute for Cancer Research, Toronto, ON, Canada |
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Keywords: Prostate, Cancer This abstract focuses on the development of an external, non-invasive butterfly coil for sodium MRI of human prostate cancer. Sodium MRI of healthy male volunteers and patients revealed higher sodium signal and ADC in the peripheral zone compared to the transition zone of the prostate, and a lower sodium signal and ADC in tumour lesions relative to healthy tissue. Further work will aim to characterize the sensitivity of this coil to detect tumours, which may enhance the workflow of sodium MRI in prostate cancer studies compared to conventional endorectal coils. |
| 2060 | Computer 65
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Evaluation of urethral sphincter complex after LRP based on 3.0T pelvic floor magnetic resonance imaging combined with DTI and fiber tractography |
| Zhiheng Zhao1, Yingyu Che1, Jing Zhang1, Yue Wu1, Zitao Yang1, Qinyong Zhang1, Qingwei Wang1, Yifeng Sheng1, Ruilin Fan1, and Jingliang Cheng1 | ||
1the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China |
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Keywords: Prostate, Diffusion Tensor Imaging, Radical prostatectomy; Urethral sphincters complex; Urinary incontinence The anatomical-morphological and functional characteristics of the urethral sphincter complex, a key structure in the mechanism of urinary continence, have been studied mostly based on cadaveric dissection or animal experiments. In this study,we qualitatively and quantitatively evaluated the morphology and function of the urethral sphincter complex in patients after laparoscopic radical prostatectomy (LRP) using pelvic floor MRI combined with DTI and fiber tractography, and to investigate the anatomical factors affecting PPI. |
| 2061 | Computer 66
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Evaluation of the clinical value of Synthetic MRI in the prostate cancer diagnosis: a comparison of quantitative relaxation with conventional MRI |
| Jun Tian1, Dmytro Pylypenko2, and Haige Li1 | ||
12nd Affiliated Hospital of Nanjing Medical University, Nanjing, China, 2MR Research China, GE Healthcare, Beijing, China |
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Keywords: Prostate, Prostate This study aimed to investigate the feasibility of synthetic MRI in distinguishing PCa from benign hyperplasia, and quantitative relaxation was compared with conventional MRI to evaluate the precision of obtained values with synthetic MRI. 38 patients (54 lesions) with cancer and/or hyperplasia were recruited. Quantitative MRI sequences, including T1, T2 mapping and MAGIC, were used. Significantly different T1 and T2 values were shown between cancer and noncancerous tissue, located in peripheral and center zones, as well as between cancer and glandular hyperplasia and stromal hyperplasia. These findings suggest synthetic-MRI may be effective in differentiating PCa from benign hyperplasia. |
| 2062 | Computer 67
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Effect of Echo Times on Prostate Cancer Detection on Diffusion Weighted Images at high b-value and Apparent Diffusion Coefficient maps |
| Aritrick Chatterjee1,2, Audrey Kim1, Batuhan Gundogdu1,2, Milica Medved1,2, Tatjana Antic1, Gregory Karczmar1,2, and Aytekin Oto1,2 | ||
1University of Chicago, CHICAGO, IL, United States, 2Sanford J. Grossman Center of Excellence in Prostate Imaging and Image Guided Therapy, Chicago, IL, United States |
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Keywords: Prostate, Diffusion/other diffusion imaging techniques This study compared the effect of echo times on the detection of prostate cancer on DWI at high b-value and ADC maps. Contrast between benign tissue and cancer increased significantly with higher TE on ADC maps. However, due to increased noise at higher TEs, CNR (study endpoint) was highest at TE 57 ms; higher by 23, 26, 33% than that at TE 70, 150 and 200 ms on ADC maps. CNR, contrast ratio AND auc are higher at lower TE on DWI high-b image. Therefore, the use of lower echo times for DWI and ADC mapping may improve prostate cancer. |
| 2063 | Computer 68
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The application of Amide proton transfer MR imaging in prostate cancer with different risk |
| Jianghong Man1, Lina Wang1, Tao Yu1, Yi Zhu2, and Zhiwei Shen2 | ||
1Liaoning Cancer Hospital&Institute, Shenyang, China, 2Philips Healthcare, Beijing, China |
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Keywords: Prostate, Cancer, APT, Gleason score Amide proton transfer (APT) imaging is a novel nonintrusive technique for the diagnosis of PCa. In this study, we evaluate the distinction between APT value for prostate cancer and benign region in different Gleason scores. The result shows that APT is a potential tool for evaluating the risk of prostate cancer. |
| 2064 | Computer 69
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Radiomics of MRI Based on Zoomit DWI in Predicting Clinically Significant Prostate Cancer: A Towards Step of a Non-invasive Auxiliary Tool |
| Xiaomeng Qiao1, Jie Bao1, Yang Song2, Yunzhu Wu2, and Ximing Wang1 | ||
1Department of radiology, First Affiliated Hospital of Soochow University, Suzhou, China, 2MR Scientific Marketing, Siemens Healthineers Ltd, Shanghai, China |
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Keywords: Prostate, Diffusion/other diffusion imaging techniques, Zoomit DWI; Resolve DWI; Radiomics models based on ZOOMit DWI had better accuracy in the diagnosis of PCa and csPCa compared with those based on RESOLVE DWI technology, and was promising as a powerful non-invasive auxiliary tool to improve the diagnostic performance of PI-RADS of radiologists with different clinical experience. |
| 2065 | Computer 70
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The value of the combination of Intravoxel incoherent motion and TAF11 in predicting positive margins of radical prostatectomy |
| Wanting Gan1, Shuang Meng1, Lihua Chen1, Nan Wang1, Yunsong Liu1, and Ailian Liu1 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Prostate, Diffusion/other diffusion imaging techniques Positive surgical margins (PSMs) mean incomplete tumor excision which related with prostate cancer-specific mortality and may lead to additional treatments. As a new technique, Intravoxel incoherent motion can simultaneously demonstrate information about diffusion and perfusion. The result of this study indicate the combination of ADC, D, PPC and TAF11 can be used as a potential method in PSMs of radical prostatectomy. |
| 2066 | Computer 71
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PCa Risk Prediction Model：Combined Clinical Characteristics AND mpMRI Parameters for Prediction of Risk of PCa |
| Aiqi Chen1, Xiang Li1, Jingxu Xu2, Xiuzheng Yue3, Shoukang Chen1, and Yichuan Ma1 | ||
1The First Affiliated Hospital of Bengbu Medical College, Bengbu, China, 2Beijing Deepwise & League, Beijing, China, 3Philips Healthcare, Beijing, China |
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Keywords: Prostate, Prostate It’s still a challenge to accurately diagnose prostate cancer through MRI before operation. PI-RADS was capable of assessing the value of risk, but it did not combine clinical characteristics. we combined clinical characteristics and mpMRI parameters for the prediction of the risk of prostate cancer and compared them with PI-RADS. We found that the model was significantly better than PI-RADS (P=0.01976). The AUC of the model is higher than that of PI-RADS (0.99＞0.90, p=0.019). This study demonstrated the feasibility of the model to predict the risk of prostate cancers early so that low-risk patients can avoid unnecessary needle biopsies. |
| 2067 | Computer 72
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Differentiating Chronic Prostatitis and Prostate Cancer Using a Continuous-Time Random-Walk Diffusion Model at High b-Values |
| Yurui Sheng1, Ke Xue2, Yongming Dai2, and Qingshi Zeng1 | ||
1Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Jinan, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Prostate, Diffusion/other diffusion imaging techniques In clinical practice, distinguishing between Prostate cancer (PCa) and chronic prostatitis (CP) is difficult but necessary. PCa and CP are heterogeneous at the tissue and cell level, and the continuous time random-walk (CTRW) model can provide information on tissue heterogeneity at the microscopic level. We used the CTRW model to characterize tissue heterogeneity and complexity in CP and PCa. Significant differences were found for the CTRW parameters (α, Dm) between CP and PCa. Moreover, CTRW parameters (α, β, Dm) combined with ADC showed optimal diagnostic efficacy for diagnosis, and this combination would be benefit for the clinical diagnostic work. |
| 2068 | Computer 73
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mpMRI Radiomic Features Predict the Likelihood for Progression to Treatment of Prostate Cancer Patients on Active Surveillance |
| Veronica Wallaengen1,2, Evangelia I. Zacharaki1, Mohammad Alhusseini1, Nachiketh Soodana-Prakash2, Ahmad Algohary1, Adrian L. Breto1, Isaac L. Xu1, Sandra M. Gaston1, Rosa P. Castillo Acosta3, Oleksandr N. Kryvenko4, Bruno Nahar2, Dipen J. Parekh2, Alan Pollack1, Sanoj Punnen2, and Radka Stoyanova1 | ||
1Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, United States, 2Department of Urology, University of Miami Miller School of Medicine, Miami, FL, United States, 3Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, United States, 4Department of Pathology, University of Miami Miller School of Medicine, Miami, FL, United States |
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Keywords: Quantitative Imaging, Prostate, Active Surveillance, mpMRI, Prostate Cancer Active surveillance (AS) for prostate cancer has emerged as a safe and attractive alternative to immediate treatment. Here we present an integrated method for baseline mpMRI analysis enabling early detection of patients harboring lesions with a high potential for progression. The approach consists of three steps: (i) Training a deep learning network for automatic segmentation of prostate and lesions, suspicious for cancer; (ii) Application of the network to identify lesions on mpMRI images for patients, enrolled in an AS trial; and (iii) Development of a progression risk stratification model by incorporating radiomic and clinical variables. |
| 2069 | Computer 74
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Using Multi-parametric MRI Quantitative Metrics as Image Biomarkers to Predict the Tumor Malignant degree of Prostate Cancer |
| Shili Liu1, Zhiqiang Chen2, Shaoru Zhang3, Xiaohua Chen3, Zhuo Wang3, Yuhui Xiong4, and Aijun Wang5 | ||
1Clinical medicine school of Ningxia Medical University, YinChuan, China, 2Department of Radiology ,the First Hospital Affiliated to Hainan Medical College, Haikou, China, 3Clinical medicine school of Ningxia Medical University, Yinchuan, China, 4GE Healthcare，MR Reseaich, Beijing, Beijing, China, 5Department of Radiology, General Hospital of Ningxia Medical University,, Yinchuan, China |
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Keywords: Prostate, Data Processing This study aims to investigate whether the quantitative metrics derived from diffusion weighted imaging (DWI) and dynamic contrast-enhanced (DCE) MRI can be used to predict the tumor malignancy of prostate cancer. The results showed that the apparent diffusion coefficient (ADC) value, Tmax (s), SImax%, Rmax% were correlated with Ki-67 to a certain extent, DWI and DCE-MRI parameters are expected to be a non-invasive examination method to measure the ability of prostatic malignant tumor cells to expand, and provide an important theoretical basis for evaluating the efficacy of prostate cancer and monitoring the prognosis. |
| 2070 | Computer 75
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Distinguishing prostate cancer from prostate hyperplasia nodules using histograms based on amide proton transfer MRI and DWI |
| You Yun1, Zhiwei Shen2, and Xuejun Chen1 | ||
1The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China, 2Philips Healthcare, Beijing, China |
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Keywords: Prostate, CEST & MT The diagnostic value of histograms based on 3D APT MRI and ADC in the central glandular region for the differentiation of prostate cancer and prostate hyperplastic nodules was evaluated in this study. The results showed that the 3D APT MRI and ADC histograms had better diagnostic efficacy in the central glandular region for the differentiation of prostate cancer and prostate hyperplastic nodules, but the diagnostic efficacy of the 3D APT. |
| 2071 | Computer 76
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3D Distortionless Diffusion Weighted Imaging in the Prostate using a Diffusion Prepared Fast Spin-Echo Sequence |
| Jeremiah Joseph Hess1, Philip Kenneth Lee2, Xuetong Zhou1, Andreas Markus Loening2, and Brian Andrew Hargreaves1,2,3 | ||
1Bioengineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States, 3Electrical Engineering, Stanford University, Stanford, CA, United States |
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Keywords: Prostate, Diffusion/other diffusion imaging techniques Diffusion-Weighted Imaging (DWI) of the prostate is commonly used for tumor detection and characterization. However, the echo planar imaging (EPI) based DWI methods commonly used in prostate imaging fail in the setting of field inhomogeneities most related to hip prosthesis and rectal gas. Cartesian Fast Spin-Echo (FSE) is an alternative to EPI that is more robust to off-resonance. In this study, we compare in vivo 3D FSE to multi-shot EPI (MUSE) for DWI prostate imaging, demonstrating that an FSE DWI sequence achieves high image quality while avoiding geometric distortion seen in EPI based DWI. |
| 2072 | Computer 77
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Comparison of 3D amide proton transfer imaging and intravoxel incoherent motion imaging in the diagnosis of prostate cancer |
| Guorui Hou1 and Kai Ai2 | ||
1Department of Radiology, Xijing Hospital, Xi'an, China, 2Philips Healthcare, Xi‘an, China |
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Keywords: Prostate, Tumor, amide proton transfer imaging Prostate cancer (PCA), which seriously hazard the life and health, is one of the most common malignant tumors in middle-aged and elderly men, and the incidence population tends to be younger. Amide proton transfer imaging (APT) and intravoxel incoherent motion imaging (IVIM) are two technologies that can be used for prostate cancer diagnostic. This study aims to compare and analyze the diagnostic performance of APT and IVIM in prostate diseases. Besides, we also test the relationship between APT and IVIM derived parameters and Gleason score (GS). |
| 2073 | Computer 78
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Application of Synthetic MRI in the Diagnosis and Invasion Assessment of Peripheral Zone Prostate Cancer |
| Yunshu Zhou1, Zhiqiang Chen2, Na Song1, Zhuo Wang1, Shaoru Zhang1, Xiaohua Chen1, Xiaocheng Wei3, and Aijun Wang4 | ||
1Clinical medicine school of Ningxia Medical University, Yinchuan, China, 2Department of Radiology, the First Hospital Affiliated to Hainan Medical College, Haikou, China, 3GE Healthcare, Beijing, China, 4Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan, China |
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Keywords: Prostate, Data Processing This retrospective study aims to investigate the application value of the quantitative relaxation maps derived from synthetic MRI in the diagnosis and invasion assessment of peripheral zone (PZ) prostate cancer (PCa). 88 patients (45 experimental & 43 control) were scanned using the magnetic resonance image compilation (MAGiC) sequence and the quantitative relaxation metrics were calculated and compared. The results demonstrate that quantitative T1 and T2 values are significant indicators for distinguishing PZ PCa from non-cancerous PZ. T2 value has a similar diagnostic performance to apparent diffusion coefficient value and has potential clinical value in evaluating the invasiveness of PCa. |
| 2074 | Computer 79
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Intravoxel incoherent motion (IVIM) imaging: an alternative method to differentiate the prostate diseases |
| Chen Lihua1, Song Qingwei1, Zhigang Wu2, Jiazhegn Wang3, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Clinical and Technical Support, Philips Healthcare, Shenzhen, China, 3Clinical and Technical Support, Philips Healthcare, Beijing, China |
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Keywords: Prostate, Prostate Differentiation of prostate hyperplasia, prostatitis and prostate cancerremains challenge using conventional MR techniques, especially for prostatitis and prostate cancer. This study evaluates the value of Intravoxel incoherent motion (IVIM) imaging to differentiate these diseases. Results of this study indicate that ADC value has no significant difference, but Fraction of Fast ADC-Mono and Fraction of Fast ADC-Bi shows significant difference between prostate hyperplasia vs prostate cancer. Slow ADC-Bi values shows difference between prostatitis vs prostate cancer. In summary, IVIM combined with different fitting scheme is potentially a promising and valuable method for differentiation of prostate hyperplasia, prostatitis and prostate cancer. |
| 2075 | Computer 80
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Shortening T2-weighted TSE for prostate MRI by reducing the number of echo-trains and using CS reconstruction |
| Nida Mir1, Saskia Damen1, Jelmer M. Wolterink1, Frank F.J. Simonis1, and Jurgen J. Fütterer1,2 | ||
1TechMed Centre, University of Twente, Enschede, Netherlands, 2Radboud UMC, Nijmegen, Netherlands |
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Keywords: Prostate, Cancer The aim of this study was to speed up the turbo spin echo (TSE) sequence for prostate MRI by undersampling the k-space, while aiming to retain PSNR/SSIM. We conducted undersampling retrospectively by omitting echo-trains in the TSE sequence based on the proximity of the echoes (within the echo-trains) to the centre of the K-space. The proposed method speeds up the TSE acquisition time by 20%, while retaining the PSNR/SSIM for a kiwi phantom. Optimizing an undersampling pattern for prostate therefore can lead to a substantial decrease in the total scan time. |
| 2234 | Computer 61
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Imaging findings and differential diagnosis of hyperintense hepatocellular carcinoma on hepatobiliary phase of Gd-EOB-DTPA-enhanced MRI |
| Ji yong Gu1, Fei Xing2, Yi shi Wang3, and Xian ce Zhao4 | ||
1Nantong Haimen People’s Hospital, Nantong, China, 2the Third Affiliated Nantong Hospital of Nantong University, Nantong, China, 3Philips Healthcare, Beijing, China, 4Philips Healthcare, Shanghai, China |
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Keywords: Liver, Cancer, HCC This study evaluates imaging features that can help to differentiate hyperintense HCC from non-HCC benign and malignant lesions. On HBP images, hyperintense nodules can be differentiated with several imaging characteristics, especially HBP hypointense rim, and a focal defect in contrast uptake, that indicate the diagnosis of hyperintense HCCs. |
| 2235 | Computer 62
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A clinically applicable deep-learning model for automatic detection of focal liver lesions on Gd-DTPA-enhanced MRI |
| Jiahui Jiang1, Lixue Xu1, Xiaolan Zhang2, Niange Yu2, Dawei Yang1, Hui Xu1, and Zhenghan Yang1 | ||
1Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China, 2Shukun (Beijing) Technology Co., Ltd, Beijing, China |
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Keywords: Liver, Liver Accurate detection of focal liver lesions in Gd-DTPA-enhanced magnetic resonance imaging (MRI) necessitates a high level of skill and experience. This task is typically performed by radiologists through visual inspection, which is time-consuming, labor-intensive, and subject to intra- and inter-observer variation. Convolutional neural networks (CNNs) have demonstrated significant potential in detecting lesions on medical imaging. Our study presents a unified multi-sequence lesion detector model for automatically detecting focal liver lesions on Gd-DTPA-enhanced MR images to aid in treatment decision-making. |
| 2236 | Computer 63
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Preoperative prognostic Stratification for Patients with HCC Using Gadoxetic acid-enhanced MR Imaging |
| Feifei Gao1, Yi Wei2, Qian Li2, Xiaocheng Wei3, Lisha Nie3, Miaoqi Zhang3, and Bin Song2 | ||
1Radiology, West China Hospital, Chengdu, China, 2West China Hospital, Chengdu, China, 3MR Research China，GE Healthcare, Beijing, China, Beijing, China |
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Keywords: Liver, Cancer Accurate preoperative risk stratification is of critical importance for determine patients who will benefit from liver resection. Our study developed three subgroups of patients with HCC associated with different prognosis (RFS and OS) after resection based on preoperative MR imaging features using the Survival Classification and Regression Tree (CART) method. The generated subgroups using CART method demonstrated good discriminatory for preoperatively stratification of the prognosis. Therefore, the CART model of this present study may help clinicians to consider non-surgical treatment more often in worse prognostic patients and as well as inform more intense surveillance following resection. |
| 2237 | Computer 64
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Magnetic Resonance Diffusion Imaging for Colorectal Liver Metastases: A Prospective Study for Model Comparison and Early Response Biomarker |
| Yue Li1, Huan Zhang1, Lei Yue1, Caixia Fu2, Robert Grimm3, Wenhua Li4, Weijian Guo4, and Tong Tong1 | ||
1Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China, 2MR Application Development, Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China, Shenzhen, China, 3MR Applications Predevelopment, Siemens Healthineers Ltd., Erlangen, Germany, Erlangen, Germany, 4Fudan University Shanghai Cancer Center, Shanghai, China |
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Keywords: Liver, Diffusion/other diffusion imaging techniques This study investigated and compared the feasibility of whole tumor based texture analysis of various magnetic resonance diffusion imaging as early predictors of the clinical response to chemotherapy in patients with colorectal liver metastases (CRLM). The results showed that baseline DWI parameters and the follow-up changes of IVIM and DKI parameters can be conductive to predict the chemotherapeutic response of patients with CRLM. And Changes in D-parameters (Δ% DMean, Δ% D5th percentile, and Δ% DDiff-entropy) are superior to other diffusion related parameters. This suggests that DKI-related parameters could effectively predict the response in short period after treatment (2-3 weeks). |
| 2238 | Computer 65
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Application of whole-tumor histogram analysis of restriction spectrum imaging in the diagnosis of benign and malignant liver lesions |
| Yu Luo1, Nan Meng1, Lei Shen1, Pengyang Feng2, Ziqiang Li3, Han Jiang3, Han Jiang3, Han Jiang3, Yunfei Zhang4, Yongming Dai4, and Meiyun Wang1 | ||
1Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Henan, China, 2Henan University People’s Hospital & Henan Provincial People’s Hospital, Henan, China, 3Xinxiang Medical University & Henan Provincial People's Hospital, Henan, China, 4MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Liver, Cancer Restricted spectrum imaging (RSI) is an advanced technique, which can detect the signal fractions of restricted, hindered and free diffusion of water molecules in the water compartments inside and outside the cell. However, the application of RSI in the assessment of liver disease is rare. Therefore, this study was to evaluate the diagnostic performance of RSI and DWI models in distinguishing benign and malignant liver lesions. Our results showed that the RSI model has better discriminative performance, and the combination of RSI parameters can further improve diagnostic performance. RSI provides a new perspective for exploring the information of tissue microenvironment, and its clinical application has broad prospects. |
| 2239 | Computer 66
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Preoperative evaluation of liver regeneration following hepatectomy in hepatocellular carcinoma using magnetic resonance elastography |
| Tong Zhang1, Qian Li1, Yi Wei1, Hehan Tang1, Lisha Nie2, Xiaocheng Wei2, and Bin Song1,3 | ||
1West China Hospital, Sichuan University, Cheng Du, China, 2MR Research China，GE Healthcare, Bei Jing, China, 3Sanya People’s Hospital, San Ya, China |
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Keywords: Liver, Elastography, liver regeneration, elasticity imaging techniques, hepatocellular carcinoma, hepatectomy The liver stiffness (LS) value based on MRE may be a useful preoperative predictor of liver regeneration in patients with HCC. The LS derived from MRE shows a significant negative correlation with fibrosis, an important predictor of liver regeneration. In the low and high parenchymal hepatic resection rate (PHRR) groups, there was no significant relationship between regeneration index (RI) and LS values of MRE. However, a negative relationship was shown between LS values and RI in the intermediate PHRR group. |
| 2240 | Computer 67
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Multiparametric MRI manifestations of spontaneous intratumoral coagulative necrosis in hepatocellular carcinoma |
| Dexin Yu1, Liping Zuo1, Mingyuan Hou1, Jinlei Fan1, Yueming An1, and Bowen Wang1 | ||
1Qilu Hospital of Shandong University, Jinan, China |
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Keywords: Liver, Cancer Problem: To illustrate the MRI manifestations of spontaneous intratumoral coagulative necrosis (iCN) in hepatocellular carcinoma (HCC) and its value in predicting postoperative early recurrence. Methods: 263 patients with HCC confirmed by surgical pathology were enrolled. The qualitative assessments of MRI features were performed. Results: The iCN in HCC was characterized by a similar appearance to the tumor on pre-contrast MRI but with non-enhancement on post-contrast MRI. Presence of iCN on MRI was associated with early tumor recurrence. Conclusions: Presence of iCN on MRI is associated with early tumor recurrence and might assist to guide clinical treatment. |
| 2241 | Computer 68
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Pre-Operative In Silico Risk Assessment for Hepatectomy Patients, Using MRI and Pharmacokinetic Modeling |
| Christian Simonsson1,2,3, Wolf Claus Bartholomä1,2, Anna Lindhoff Larsson4, Markus Karlsson1, Jens Tellman1, Gunnar Cedersund2,3, Bengt Norén1, Nils Dahlström1,2, Per Sandström4, and Peter Lundberg1,2 | ||
1Department of Radiation Physics, Radiology, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden, 2Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden, Linköping University, Linköping, Sweden, 3Department of Biomedical Engineering, Linköping University, Linköping, Sweden, 4Department of Surgery, Department of biomedical and clinical sciences, Linköping University, Linköping, Sweden |
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Keywords: Liver, Liver, Hepatectomy, Gd-DPTA-EOB, Pharmacokinetic Modeling , Risk assessment For a range of late-stage liver disease the only curative treatment option may be hepatectomy surgery, which can have fatal complications. Therefore, a pre-operative risk assessment is vital. However, usually the assessment only investigates global liver function. For a more precise assessment, we investigate the possibility of using DCE-MRI in combination with pharmacokinetic modeling to quantify both global- and regional liver function. Also, we show a novel eight-compartment hepatic model, capable of performing an in-silico resection. We show the tentative predictive capabilities of this approach. This approach could lead to a more precise pre-operative assessment. |
| 2242 | Computer 69
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Application value of restriction spectrum imaging in differentiation of hepatocellular carcinoma and intrahepatic cholangiocarcinoma |
| Nan Meng1, Yu Luo1, Lei Shen1, Pengyang Feng2, Ziqiang Li3, Han Jiang3, Yunfei Zhang4, Yongming Dai4, Yan Bai1,5, and Meiyun Wang1 | ||
1Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Henan, China, 2Henan University People’s Hospital & Henan Provincial People’s Hospital, Henan, China, 3Xinxiang Medical University & Henan Provincial People's Hospital, Henan, China, 4MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China, 5Department of Medical Imaging, Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China |
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Keywords: Liver, Cancer Diffusion-weighted imaging (DWI) can be used to evaluate the degree of tumor cell proliferation and tumor necrosis. The diffusion motion of water molecules is assumed to be Gaussian distribution, which has some limitations. In recent years, some advanced models have emerged that can provide more parameters to explore complex biological behaviors. Restricted spectral imaging (RSI) is one of them. However, the application of this model in liver disease is rare. The purpose of this study was to explore the potential value of the RSI model in the preoperative non-invasive differential diagnosis of hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC). |
| 2243 | Computer 70
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A Radiomics Nomogram for the Prediction of Microvascular Invasion of HCC and Patients’ Benefit from Postoperative Adjuvant TACE |
| Kun Zhang1, Zhi Wei Shen2, and Wen Shen1 | ||
1Department of Radiology, Tianjin First Central Hospital, Tianjin Institute of imaging medicine, Tianjin, China, 2Philips healthcare，Beijing，China, Beijing, China |
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Keywords: Liver, Cancer, Hepatocellular carcinoma · Neoplasm invasion • The novel radiomics nomogram developed based on Gd-EOB-DTPA MRI achieved preoperative non-invasive MVI risk prediction.• An m-score based on the radiomics nomogram could stratify HCC patients and further identify individuals who may benefit from the PA-TACE.• The radiomics nomogram could help clinicians to implement more appropriate interventions and perform individualized precision therapies. |
| 2244 | Computer 71
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Comparison of the diagnostic performance in the HCC with cirrhosis between the 2017 and 2018 versions of LI‑RADS based on Gd‑EOB‑DTPA enhanced MRI |
| Fei Xing1, Yi shi Wang2, and Xian ce Zhao3 | ||
1the Third Affiliated Nantong Hospital of Nantong University, Nantong, China, 2Philips Healthcare, Beijing, China, 3Philips Healthcare, Shanghai, China |
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Keywords: Liver, Cancer, HCC The Liver Imaging Reporting and Data System (LI-RADS) is widely adopted for noninvasive diagnosis of hepatocellular carcinoma (HCC). It’s updated to version 2018 recently, with some major changes compared with v2017.Therefore, the aim of this study was to compare the diagnostic performances of LI-RADS for diagnosing HCC between v2017 and v2018 based on Gd-EOB-DTPA enhanced MRI. |
| 2245 | Computer 72
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Value of texture analysis based on R2* map for predicting early recurrence of HCC after hepatectomy |
| Qihao Xu1, Ailian Liu1,2, Ying Zhao1, Yue Wang1, Tao Lin1, Xue Ren1, Qingwei Song1, Yan Guo3, Xin Li3, and Tingfan Wu3 | ||
1Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Engineering Research Center for Artificial Intelligence in Medical Imaging, Dalian, China, 3GE Healthcare, Shanghai, China |
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Keywords: Liver, Cancer Hepatectomy is an important therapeutic method for hepatocellular carcinoma (HCC). The overall survival rate of patients with early recurrence is often lower than that of patients without early recurrence. Therefore, this worked aimed at investigating the value of texture analysis based on R2* map for predicting early recurrence of HCC after hepatectomy. Eleven optimal texture features were obtained to predict early recurrence of HCC. This research suggested that R2* map texture analysis had certain predictive value for early recurrence of HCC after hepatectomy, which was valuable for noninvasively, preoperatively and accurately predicting the prognostic factors during clinical practice. |
| 2246 | Computer 73
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The value of IVIM for preoperative evaluation of liver regeneration after hepatectomy in hepatocellular carcinoma |
| Qian Li1, Tong Zhang1, Lisha Nie2, Xiaocheng Wei2, Yi Wei1, and Bin Song1,3 | ||
1Department of radiology, West China hospital, Sichuan Univeristy, Chengdu, China, 2MR Research China, GE Healthcare, Beijing,China, Beijing, China, 3Department of radiology, Sanya People’s Hospital, Sanya, China |
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Keywords: Liver, Diffusion/other diffusion imaging techniques, Liver regeneration; Intravoxel incoherent motion; Carcinoma, Hepatocellular; Hepatectomy The D value derived from IVIM diffusion-weighted imaging may be a useful marker for the preoperative prediction of liver regeneration in patients with HCC. and the D value derived from IVIM diffusion-weighted imaging shows a significant negative correlation with fibrosis, an important predictor of liver regeneration. No IVIM parameters were associated with liver regeneration in patients who underwent major hepatectomy, but the D value was a significant predictor of liver regeneration in patients who underwent minor hepatectomy. |
| 2247 | Computer 74
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Hepatocellular carcinoma with central scar: imaging findings of gadoxetic acid-enhanced MRI and pathological features |
| Fei Xing1, Yi shi Wang2, and Xian ce Zhao3 | ||
1the Third Affiliated Nantong Hospital of Nantong University, Nantong, China, 2Philips Healthcare, Beijing, China, 3Philips Healthcare, Shanghai, China |
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Keywords: Liver, Cancer, HCC central scar is not a rare feature of conventional non-fifibrolamellar HCC. The dynamic enhancement mode of Gd-EOB-DTPA was helpful to distinguish inflammatory, collagenous, and vascular scars. The EOB “target sign” had a certain characteristic but non-specific, which still needed to be combined with MRI features of the mass. |
| 2248 | Computer 75
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Predicion of Microvascular Invasion in Hepatocellular Carcinoma using Diffusion Kurtosis Imaging |
| Yanxi Xiong1, Zhao Ying1, Ailian Liu1, Ren Xue1, Qihao Xu1, and Qingwei Song1 | ||
1The First Affiliated Hospital, Dalian Medical University, Dalian, China |
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Keywords: Liver, Blood vessels Microvascular invasion (MVI) is an independent factor leading to poorer prognosis after liver resection and transplantation. In this retrospective study, we evaluated the discrimination power of Diffusion Kurtosis Imaging for predicting microvascular invasion Microvascular Invasion in hepatocellular carcinoma Hepatocellular Carcinoma （HCC）. Our resuts showed that DKI-based quantitative parameters might have a certain value in identifying MVI status in HCC. |
| 2249 | Computer 76
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Gd-EOB-DTPA Enhanced 3D T1WI: Utility of Compressed Sensing with Deep Learning Reconstruction for Liver Tumor Detection Improvement |
| Hiroyuki Nagata1, Yoshiharu Ohno1,2, Takeshi Yoshikawa2,3, Kaori Yamamoto4, Masato Ikedo4, Masao Yui4, Maiko Shinohara4, Akiyoshi Iwase5, Takahiro Matsuyama2, Takahiro Ueda2, Hirotaka Ikeda2, Yoshiyuki Ozawa2, and Hiroshi Toyama2 | ||
1Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan, 2Radiology, Fujita Health University School of Medicine, Toyoake, Japan, 3Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan, 4Canon Medical Systems Corporation, Otawara, Japan, 5Fujita Health University Hospital, Toyoake, Japan |
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Keywords: Liver, Cancer We hypothesize that CS with DLR can improve spatial resolution, image quality and tumor detection on Gd-EOB-enhanced 3D T1WI in suspected liver tumor patients. The purpose of this study was to determine the utility of CS and DLR for image quality and liver tumor detection improvements on high-resolution 3D CE-T1WI (HR-CE-T1WI) as compared with conventional 3D CE-T1WI with PI (conventional CE-T1WI) in patients with suspected liver tumors. |
| 2250 | Computer 77
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Development of Hepatocellular Carcinoma phantom and its use for assessing R2* mapping sequences for detecting iron sparing |
| Elisabeth Pickles1,2, Eleanor Cox3,4, Alison Telford2, Ferenc Mozes5, Gabriela Belsley5, Elizabeth Tunnicliffe5, Michael Brady2, Michael Pavlides5,6,7, Daniel Bulte1, and Susan Francis3,4 | ||
1Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom, 2Perspectum Ltd, Oxford, United Kingdom, 3Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 4NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, United Kingdom, 5Oxford Centre for Magnetic Resonance, University of Oxford, Oxford, United Kingdom, 6NIHR Nottingham Biomedical Research Centre, University of Oxford, Oxford, United Kingdom, 7Translational Gastroenterology Unit, University of Oxford, Oxford, United Kingdom |
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Keywords: Liver, Cancer Survival rates for hepatocellular carcinoma (HCC) are poor, and improved methods for early detection are required. One such method may be the detection of iron sparing in HCC compared to the liver tissue using R2* mapping. We optimised sequences for the assessment of whole liver 3D R2* mapping, and developed a HCC phantom comprising small spheres with a range of R2* values to assess them. Agreement of the phantom R2* with reference values and between vendors, as well as the ability to detect small differences in R2* indicated the sequences have strong potential to detect iron sparing. |
| 2251 | Computer 78
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Deep learning reconstruction for liver T2-weighted and diffusion-weighted imaging：Improvement of image quality and lesion delineation |
| Qian Chen1, Huimin Lin1, Shu Fang1, Jiankun Dai2, Guifeng Fu2, Ruokun Li1, and Fuhua Yan1 | ||
1Department of Radiology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, China, 2MR Research, GE Healthcare, Beijing, China |
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Keywords: Liver, Tumor, Magnetic resonance imaging, T2-weighted imaging, DIffusion weighted imaging In this study, deep learning reconstruction (DLR) of liver fast spin echo T2-weighted (FSE-T2WI) and diffusion-weighted (DWI) was performed. The results showed the liver SNR, and lesion CNR were dramatically increased for both the FSE-T2WI and DWI with DLR compared with conventional reconstruction. The image quality of DLR FSE-T2WI even surpassed that of the routinely used PROPELLER T2WI. DLR didn’t impact the quantitative apparent coefficient derived from DWI. T2WI and DWI with DLR also improved the delineation of lesion structure due to improvement of image quality. Our study indicated DLR FSE-T2WI and DWI would be beneficial for liver disease diagnosing. |
| 2252 | Computer 79
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Tumor burden assessment in a SB CCA.Mdr2-/- cholangiocarcinoma mouse model with gadoxetate disodium-enhanced MRI at 9.4 T |
| Qianhui Dou1, Pinzhu Huang2, Jesse Kirkpatrick3,4, Disha Skelton-Badlani2, Gopal Varma1, Aaron K. Grant1, Yury Popov2, and Leo Lee Tsai1 | ||
1Radiology, Beth Israel Deaconess Medical Center, Boston, MA, United States, 2Division of Gastroenterology, Beth Israel Deaconess Medical Center, Boston, MA, United States, 3Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, United States, 4Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States |
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Keywords: Liver, Tumor, preclinical models, cholangiocarcinoma Cholangiocarcinoma (CCA) is a primary biliary malignancy with very poor prognosis. Early diagnostic detection and effective targeted therapies remain challenging. A novel hepatic fibrosis/CCA mouse model provides an investigative platform, but in vivo tumor detection/tracking is needed. Here we trial the use of in vivo MRI with gadoxetate disodium to detect CCA tumors and to differentiate infiltrative CCA from fibrosis in these models. |
| 2253 | Computer 80
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Differentiation between HCC and ICC using 3D amide proton transfer weighted imaging and diffusion kurtosis imaging |
| Qihao Xu1, Ailian Liu1,2, Tao Lin1, Dandan Zheng3, Xiaoxiao Zhang3, Lihua Chen1, Qingwei Song1, Renwang Pu1, Ying Zhao1, and Xue Ren1 | ||
1Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Engineering Research Center for Artificial Intelligence in Medical Imaging, Dalian, China, 3Clinical & Technical Support, Philips Healthcare, Beijing, China |
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Keywords: Liver, CEST & MT Hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) are the two most common primary intrahepatic malignant tumors, and the prognosis and treatment methods are significantly different between them. The purpose of this study was to explore the diagnostic ability of APTw and DKI in distinguishing ICC from HCC. When the APTw values were combined with DKI parameters, the AUC was improved from 0.760 to 0.784 and the sensitivity reached 100%. Our preliminary study showed that APTw combined with the mean diffusivity and kurtosis anisotropy values drived from DKI demonstrated a better performance in the differential diagnosis of HCC and ICC. |
| 2431 | Computer 81
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Identifying the Microvascular Invasion of Hepatocellular Carcinoma with a Continuous Time Random-Walk Diffusion Model |
| Jiejun Cheng1, Dingxia Liu1, Yunfei Zhang2, Yongming Dai2, and Xiuzhong Yao1 | ||
1Shanghai Institute of Medical Imaging, Shanghai, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Liver, Cancer DWI is the most widely-used functional magnetic resonance imaging (MRI) technique in clinical practice. It has been widely acknowledged that DWI has the potential to probe tissue cellularity, microstructures, and microvasculature at a subvoxel-level. In this study, we aim to access the clinical application of the continuous-time random-walk (CTRW) model which recognizes intravoxel diffusion heterogeneity in both time and space in the preoperative evaluation of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) patients. Our results showed that diffusion parameters derived from CTRW model can be used as noninvasive quantitative imaging markers for preoperatively predicting the MVI of HCCs. |
| 2432 | Computer 82
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Gadoxetic acid–enhanced MRI-based assessment of imaging features in patients with CK19-positive small hepatocellular carcinoma (≤3 cm) |
| Maotong Liu1, Tao Zhang1, Xue-Qin Zhang1, Lei Xu1, and Xian-ce Zhao2 | ||
1Affiliated Nantong Hospital 3 of Nantong University, Nantong, China, 2Philips Healthcare, Shanghai, China |
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Keywords: Liver, Cancer The aim of this study was to compare the preoperative imaging findings of CK19-positive patients with HCC less than 3 cm with those of CK19-negative patients with small HCC to determine the prognosis of patients with CK19-positive small HCC after radical resection. We obtained the important predictive parameters of CK-19 positive small liver cancer patients by qualitatively and quantitatively comparing the imaging data and relevant clinical parameters of these patients before surgery. Our study showed that rim APHE in gadoxetic acid-enhanced MR imaging may help to predict early (2 years) postoperative recurrence in patients with CK19-positive small HCC. |
| 2433 | Computer 83
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Magnetic Resonance Imaging of the Liver Microenvironment to Assess Hepatocellular Carcinoma Growth and Characteristics in Rat |
| Yeon Ji Chae1, Hwon Heo1, Chul-Woong Woo2, Sang-Tae Kim2, Do-Wan Lee3, Monica Young Choi2, Yoonseok Choi4, and Dong-Cheol Woo1,2 | ||
1Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of, 2Convergence Medicine Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea, Republic of, 3Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of, 4Medical Research Institute, Gangneung Asan Hospital, Gangneung-si, Gangwon-do, Korea, Republic of |
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Keywords: Liver, Tumor, Magnetic resonance imaging, Liver microenvironment, Nonalcoholic steatohepatitis, Hepatocellular carcinoma In this study, a syngeneic orthotopic hepatocellular carcinoma (HCC) rat model with nonalcoholic steatohepatitis (NASH) was established to elucidate the role of the liver microenvironment using MRI. Our findings demonstrated that the HCC growth and progression were accelerated by the disease severity of NASH in the syngeneic orthotopic HCC rat model. This suggests that the liver microenvironment is important for HCC promotion. |
| 2434 | Computer 84
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Preoperative gadoxetic acid-enhanced MRI combined with MVI can effectively predicte early recurrence in hepatocellular carcinoma |
| Jiyun Zhang1, Tao Zhang1, Xueqin Zhang1, and Xiance Zhao2 | ||
1Affiliated Nantong Hospital 3 of Nantong University, Nantong, Jiangsu Province, China, 2Philips Healthcare, Shanghai, China |
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Keywords: Liver, Tumor, early recurrence Synopsis: The purpose of this study is to determine whether preoperative gadoxetic acid-enhanced MRI combined with microvascular invasion can effectively improve the predictive efficacy of early recurrence in HCC. We retrospectively reviewed patients with HBV who underwent curative resection for HCC, analysed preoperative factors to develop a preoperative model, and analysed both preoperative factors and microvascular invasion to develop a pre-/postoperative prediction model. Our study showed that the preoperative and pre-/postoperative prediction models demonstrate good performance for predicting early recurrence, the AUC of the two prediction model better than only the MVI risk factor. |
| 2435 | Computer 85
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Differentiating Benign from Malignant Liver Lesions Using Non-Gaussian Models of Diffusion Weighted MRI |
| Xiaojun Yang1,2, Xiaohui Duan1,2, Mengzhu Wang3, Zhuoheng Yan1,2, Huijun Hu1,2, and Jun Shen1,2 | ||
1Sun Yat-Sen Memorial Hospital, Guangzhou, China, 2Sun Yat-Sen University, Guangzhou, China, 3MR Scientific Marketing, Siemens Healthineers Ltd, Guangzhou, China |
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Keywords: Liver, Diffusion/other diffusion imaging techniques This study aimed to evaluate the feasibility of various diffusion metrics obtained from stretched exponential model (SEM), diffusion kurtosis (DK) and fractional-order calculus (FROC) models -based diffusion-weighted imaging (DWI) in differentiating benign from malignant liver lesions. The results demonstrated that, as non-Gaussian DWI models, the combination of SEM and FROC models showed good discriminative ability, which was able to differentiate benign and malignant liver lesions. |
| 2436 | Computer 86
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Liver lesion detection : Comparison of different flip angle and delay time |
| Xue Ren1, Ying Zhao1, Qingwei Song1, Zhigang Wu2, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Clinical and Technical Support, Philips Healthcare, Shenzhen, China |
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Keywords: Liver, Liver Detection of liver lesion remains challenge since the contrast to noise ratio is always changing after intravenous bolus injection of Gd-BOPTA between lesion and liver tissue. The purpose of the study was to compare the lesion-to-liver CNR for different schemes using different flip angle and delay time. The results shows that the protocol of 60min FA10°could be used as the preferred scanning parameter, it could also be used to save the scan time. |
| 2437 | Computer 87
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Prediction for aggressiveness and recurrence of hepatocellular carcinoma using gadoxetic acid-enhanced magnetic resonance imaging |
| Mengtian Lu1, Xueqin Zhang1, Tao Zhang1, Qi Qu1, Lei Xu1, Jiyun Zhang1, Maotong Liu1, Jifeng Jiang1, Wei Shen2, and Xiance Zhao2 | ||
1Nantong Third People's Hospital, Nantong, China, 2Philips Healthcare, Nantong, China |
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Keywords: Cancer, MR Value This study explores the predictive value of gadoxetic acid-enhanced magnetic resonance imaging (MRI) features on the pathologic grade, microvascular invasion (MVI), and cytokeratin-19 (CK19) expression in hepatocellular carcinomas (HCC), and evaluates their association with postoperative recurrence of HCC. The main method is to investigate whether there are independent predictors of the above aggressive indicators in the gadoxetic acid-enhanced MRI features and clinical parameters. Our study shows that peritumoral enhancement, peritumoral hypointensity and rim enhancement could independently predict poor pathological grade, MVI and CK19, respectively. Consequently, these results may help HCC patients develop more appropriate treatment options. |
| 2438 | Computer 88
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The value of diffusion kurtosis imaging for predicting two-year early recurrence (ER) of hepatocellular carcinoma after curative resection |
| Yanxi Xiong1, Ying Zhao 1, Ailian Liu 1, Xue Ren1, Qihao Xu1, and Qingwei Song1 | ||
1The First Affiliated Hospital, Dalian Medical University, Dalian, China |
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Keywords: Liver, Cancer Hepatocellular carcinoma (HCC) is viewed as the most frequent primary liver cancer and the third cause of cancer related death worldwide [1]. The 5-year overall survival rate is only 30–40% after surgical resection and 70% of patients have a tumor recurrence within 5 years [2]. we evaluated the discrimination power of Diffusion Kurtosis Imaging for predicting two-year early recurrence (ER) of hepatocellular carcinoma (HCC) after curative resection.Our resuts showed that DKI-based quantitative parameters might have acertain value inpredicting two-year early recurrence (ER) in HCC. |
| 2439 | Computer 89
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Values of stretched exponential model and fractional order calculus model in predicting microvascular invasion in hepatocellular carcinoma |
| Jinhuan Xie1, Liling Long1, Chenhui Li1, and Huiting Zhang2 | ||
1The First Affiliated Hospital of Guangxi Medical University, Nanning, China, 2Siemens Healthineers, Wuhan, China |
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Keywords: Liver, Diffusion/other diffusion imaging techniques This study aimed to evaluate the potential value of stretched exponential model (SEM) and fractional order calculus (FROC) diffusion model in predicting microvascular invasion (MVI) in hepatocellular carcinoma (HCC) before surgery. Our results showed that compared with MVI-negative group, MVI-positive group had significant lower DDC from SEM and D from FROC and significant higher α from SEM. DDC had the best diagnostic performance for MVI, D was next, and α was last. SEM and FROC models can predict the MVI of HCC, and the DDC, α, and D values were potential biomarkers in future clinical practice. |
| 2440 | Computer 90
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Free-Breathing, Gadoxetic Acid Enhanced, 3D T1w Phase Sensitive Inversion Recovery Hepatobiliary MRI Optimized for 3.0 Tesla |
| Yavuz Muslu1,2, Ty A. Cashen3, Sagar Mandava4, Diego Hernando2,5, and Scott B. Reeder1,2,5,6,7 | ||
1Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Global MR Applications and Workflow, GE Healthcare, Waukesha, WI, United States, 4Global MR Applications and Workflow, GE Healthcare, Atlanta, GA, United States, 5Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 6Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States, 7Department of Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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Keywords: Liver, Image Reconstruction Gadoxetic acid (GA)-enhanced hepatobiliary phase (HBP) T1-weighted (T1w) MRI is well established for the detection of focal liver lesions. Previously, we proposed a novel imaging method to improve T1 contrast in GA-enhanced HBP T1w images for the purpose of improved detection and characterization of liver lesions. The proposed method provides volumetric, high-resolution phase-sensitive inversion recovery (PSIR) T1w images of the liver from a free-breathing image acquisition. This study focuses on the impact of flip angle and spoiling on image quality. Our findings indicate 6-8 degrees flip angle in combination with gradient spoiling provides optimal image quality and T1 contrast. |
| 2441 | Computer 91
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Tumor-liver biomechanical interaction investigated by multifrequency MR elastography in patients with HCC |
| Jiahao Zhou1, Ruokun Li2, Jing Guo3, Ingolf Sack3, and Fuhua Yan2 | ||
1Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanhai, China, 2Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China, 3Department of Radiology, Charité–Universitätsmedizin Berlin, Berlin, Germany；Charitéplatz 1, 10117 Berlin, Germany, Berlin, Germany |
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Keywords: Liver, Cancer Tumor-liver biomechanical interaction investigated by multifrequency MR elastography in patients with HCC |
| 2442 | Computer 92
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Active Breathing Guidance for T2-weighted liver MRI sequences: a novel in-bore solution for image quality and efficiency improvement |
| Narine Mesropyan1, Christoph Katemann2, Annerieke Heuvelink-Marck2, Alexander Isaak1, Dmitrij Kravchenko1, Leon Bischoff1, Ad Denissen2, Claus Christian Pieper1, Daniel Kuetting 1, Ulrike Attenberger1, and Julian Luetkens1 | ||
1Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany, 2Philips Healthcare, Philips Healthcare, Hamburg, Germany |
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Keywords: Liver, Artifacts Breathing artifacts in liver MRI lead to impaired image quality, decreased diagnostic confidence, and, as a consequence, longer acquisition times or repetitive examinations. To improve the image quality and scan efficiency we integrated a newly developed in-bore breathing guidance application for T2 weighted sequences with propeller acquisition (MultiVaneXD) (T2BG) and compared it to a conventional free-breathing acquisition method (T2conv). Our study results suggest that an active breathing guidance for T2w liver MRI sequences significantly reduces breathing artifacts and total scan times by 21% while maintaining high image quality. |
| 2443 | Computer 93
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On Intra-Voxel Dephasing in Liver Diffusion-Weighted Imaging |
| Johannes Raspe1, Sean McTavish1, Kilian Weiss2, Johannes M. Peeters3, Dimitrios C. Karampinos1, and Anh T. Van1 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, 2Philips GmbH Market DACH, Hamburg, Germany, 3Philips Healthcare, Eindhoven, Netherlands |
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Keywords: Liver, Diffusion/other diffusion imaging techniques Motion is a major source of artifacts in liver diffusion-weighted (DW) imaging leading to severe signal loss. Physical information about motion is encoded in the phase of DW images based on a pulsed gradient spin-echo (PGSE) sequence. The present work proposes a methodology to estimate a phase-predicted attenuation (PPA) which correlates with the magnitude variation of DW images in motion-controlled phantom experiments and in vivo measurements. These phase-based predictions allow to isolate motion-related magnitude attenuation for further investigation of undesired signal loss effects and offer potential for refining algorithms to reduce magnitude loss in DW imaging of the liver. |
| 2444 | Computer 94
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Deep learning–accelerated HASTE for single breath-hold liver T2-weighted imaging |
| Kai Liu1, Caixia Fu2, Dominik Nickel3, Caizhong Chen1, Haitao Sun1, and Mengsu Zeng1 | ||
1Radiology, Zhongshan Hospital, Fudan University, Shanghai, China, 2MR Collaboration, Siemens (Shenzhen) Magnetic Resonance Ltd., Shenzhen, China, 3MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, Erlangen, Germany |
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Keywords: Liver, Data Acquisition, Deep-learning reconstruction The HASTE sequence accelerated by deep learning (DL) reconstruction was used to perform liver T2-weighted imaging under a single breath-hold in a daily routine. Its image quality, including signal-to-noise ratio, contrast-to-noise ratio, artifacts, edge sharpness and slice continuity, was evaluated by comparing it with the conventional multi-breath-hold BLADE sequence. The result demonstrated that DL-accelerated HASTE could shorten the acquisition time remarkably while maintaining clinically satisfactory image quality. |
| 2445 | Computer 95
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Feasibility of Routine Abdominal MR Imaging in Patients at 0.55T: Comparison with 1.5 and 3T |
| Anupama Ramachandran1, Nicole Seiberlich1, Katherine Wright2, Jacob Richardson2, Nancy Dudek2, Joel Morehouse2, Mishal Mendiratta Lala2, Vikas Gulani2, and Hero Hussain2 | ||
1Radiology, University of Michigan, Ann Arbor, MI, United States, 2University of Michigan, Ann Arbor, MI, United States |
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Keywords: Liver, Low-Field MRI, Abdomen Abdominal MRI performed in 51 patients on a commercial 0.55T system were retrospectively and independently rated by two radiologists for diagnostic performance and image quality (IQ). Twenty-eight patients had comparison scans performed at higher field strengths. The clinical question was answered by both radiologists in all 51 cases performed at 0.55T, and the average IQ of all sequences was acceptable. In the subset of patients with comparison studies, the average IQ scores were significantly higher at 0.55T for DWI. No statistically significant difference was seen in IQ for the other sequences. Total acquisition time was almost double at 0.55T. |
| 2446 | Computer 96
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High-resolution hepatocyte-specific phase MRI of the liver using golden-angle radial sparse parallel imaging |
| Lihua Chen1, Daihong Liu1, Qing Li2, and Jiuquan Zhang1 | ||
1Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China, 2MR Collaborations, Siemens Healthineers Ltd, Shanghai, China |
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Keywords: Liver, Liver, hepatobiliary phase Conventional abdominal MRI requires breath-holds in clinical routine which restricts acquisition times. Thus, radial MRI with additional motion compensation is desirable to further improve the performance of free-breathing abdominal exams for routine clinical use. This study aims to evaluate the feasibility of free-breathing high-resolution hepatocyte-specific phase MRI of the liver using golden-angle radial sparse parallel imaging. The results suggest that high-resolution hepatocyte-specific phase MRI with GRASP may offers a flexible alternative to assess liver lesions in patients. |
| 2447 | Computer 97
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Lower abdominal adipose result in higher postoperative early recurrence in HCC patients with HBV |
| Dexin Yu1, Liping Zuo1, Yueming An1, Jinlei Fan1, and Bowen Wang1 | ||
1Qilu Hospital of Shandong University, Jinan, China |
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Keywords: Liver, Cancer Problem: To investigate the incremental value of abdominal adipose to identify postoperative early recurrence in hepatitis B virus (HBV) patients with hepatocellular carcinoma (HCC). Methods: Visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) areas were measured in the third lumbar vertebra plane of T1-weighted images. Results: HCC with microvascular invasion, portal invasion, and satellite nodules patients had lower VAT and SAT areas. VAT and SAT areas were important risk factors for early recurrence. Conclusions: Decreased VAT and SAT areas have significant impact regarding the postoperative early recurrence and poorer HCC biological behavior in HBV patients with HCC. |
| 2448 | Computer 98
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Multi-shot Abdomen Diffusion Imaging using external navigators with volume coil |
| Ashok Kumar P Reddy1, Nitin Jain1, Harsh Agarwal1, Rajdeep Das1, Rajagopalan Sundaresan1, Sajith Rajamani1, Arnaud Guidon2, Ramanna Sudhir1, Yang Baolian2, Merry Mani3, M Ramasubba Reddy4, and Ramesh Venkatesan1 | ||
1Engineering, Wipro GE HealthCare, Bangalore, India, 2GE HealthCare, Waukesha, WI, United States, 3University of Iowa, Iowa, IA, United States, 4IIT Madras, Chennai, India |
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Keywords: Liver, Body Diffusion MRI in liver is key to detecting liver pathology. However, diffusion in abdomen is limited by its inability to use multi-channel surface coil for obese liver patients. Here we present a novel use of external gradient echo and spin echo navigators for diffusion imaging with a single channel volume coil for providing distortion less diffusion images. We also extend and demonstrate this technique on multichannel coil for Diffusion in Brain. |
| 2449 | Computer 99
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De-streaking effect Deep Learning Reconstruction in free-breathing dynamic contrast enhanced Liver MRI |
| Eun Joo Park1, Yedaun Lee1, Ho Joon Lee1, Jisook Yi1, Joonsung Lee2, Xinzeng Wang3, and Arnaud Guidon4 | ||
1Department of Radiology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea, Republic of, 2GE Healthcare, Seoul, Korea, Republic of, 3GE Healthcare, Houston, TX, United States, 4GE Healthcare, Boston, MA, United States |
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Keywords: Liver, Liver In dynamic contrast enhanced (DCE) liver MRI, fast image acquisition with free breathing comes in expense of artifacts and noise, the most notably streak artifacts. In our study, we evaluated de-streaking effect and image quality of free-breathing stack of star liver MRI acquisition with deep learning reconstruction. Application of deep learning reconstruction (DLR) provides improved image quality by removing streak artifact and noise in liver MR images. |
| 2450 | Computer 100
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Cow Colostrum Regresses STAM-induced Non-alcoholic Steatohepatitis-associated Hepatocellular Carcinoma in Mice |
| Uma Sharma1, Sangeetha Gupta2, Ritu Tyagi1, Bhavya Dhawan2, and Ankit Shokeen2 | ||
1Department of Nuclear Magnetic Resonance, All India Institute of Medical Sciences, New Delhi, NEW DELHI, India, 2Amity Institute of Pharmacy (AIP), Amity University Uttar Pradesh, Noida Campus, Noida, India |
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Keywords: Liver, Cancer, MRI, Steatohepatitis-associated Hepatocellular Carcinoma, cow colustrum, therapy Nutraceuticals is an emerging industry with the potential to cater the needs of many therapeutic domains, including cancer a major cause of health concerns. Despite the currently available therapeutics, complication and effective medical management of HCC, particularly at an advanced stage has several limitations. Hence, in the present study an alternative approach using an animal product cow colostrum as therapeutics for HCC is explored in STAM-induced non-alcoholic steatohepatitis-associated hepatocellular carcinoma in mice. If successful this might prove to be a very viable and effective management for NASH-associated HCC. |
| 2549 | Computer 21
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Factors Affecting Cancer Detectability on Standalone Diffusion Weighted Imaging for Non-contrast Breast Cancer Screening |
| Debosmita Biswas1, Jin You Kim1,2, Isabella Li1, Michaela R DelPriori3, Dallas Turley4, Mary Lynn Bryant1, Wei Huang5, Habib Rahbar1, and Savannah C Partridge1 | ||
1Radiology, University of Washington, Seattle, WA, United States, 2Radiology, Pusan National University Hospital, Busan, Korea, Republic of, 3Bio Engineering, University of Washington, Seattle, WA, United States, 4Philips Healthcare, Bothell, WA, United States, 5Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, United States |
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Keywords: Breast, Diffusion/other diffusion imaging techniques, Diffusion Weighted Imaging Diffusion weighted imaging (DWI) is emerging as a viable tool for non-contrast MRI breast cancer screening, but it is unclear what factors on DWI impact lesion detectability. In this prospective clinical trial, we evaluated lesion and imaging factors that affected cancer detection. Cancers were overall more detectable at higher b=1200 vs b=800 s/mm2, but the background parenchymal signal (BPS) impacted cancer visibility at the higher b value. Cancer histologic type also impacted detectability on DWI. Overall, our findings suggest that interpretation at higher b values and further technical refinements to reduce appearance of BPS may help improve DWI sensitivity. |
| 2550 | Computer 22
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Multi-shot Diffusion-weighted Imaging of the Breasts in the Supine versus Prone Position |
| Catherine J. Moran1, Matthew J. Middione1, Valentina Mazzoli1, Jessica A. McKay-Nault1, Arnaud Guidon2, Uzma Waheed1, Eric L. Rosen1, Steven P. Poplack1, Jarrett Rosenberg1, Daniel B. Ennis1, Brian A. Hargreaves1, and Bruce L. Dnaiel1 | ||
1Radiology, Stanford University, Stanford, CA, United States, 2General Electric Healthcare, Boston, MA, United States |
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Keywords: Breast, Diffusion/other diffusion imaging techniques Diffusion-Weighted Imaging (DWI) allows for the detection of breast cancer without a contrast injection, while supine positioning may improve the comfort and efficiency of a breast MRI screening exam. This work investigates multi-shot DWI of the breasts in the supine versus prone positions, in both asymptomatic volunteers and patients with breast lesions. Supine multi-shot DWI outperformed prone multi-shot DWI based on an image quality observer study, receiving significantly higher ratings for sharpness, aliasing, and overall image quality. Lesion Apparent Diffusion Coefficients (ADCs) were highly correlated between the two positions, while fibroglandular tissue ADCs were significantly higher in the supine position. |
| 2551 | Computer 23
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Apparent Diffusion Coefficient in Breast MRI |
| Stephane Loubrie1, Maren Andreassen2, Ana Rodriguez-Soto1, Michael Carl3, Summer Batasin1, Christopher Conlin1, Tyler Seibert1,4,5, Michael Hahn1, Joshua Kuperman1, Anders Dale1,6, and Rebecca Rakow-Penner1,5 | ||
1Radiology, University of California, San Diego, San Diego, CA, United States, 2Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway, 3Global MR Application and Workflow, GE Healthcare, Boston, MA, United States, 4Radiation medicine, University of California, San Diego, San Diego, CA, United States, 5Bioengineering, University of California, San Diego, San Diego, CA, United States, 6Neurosciences, University of California, San Diego, San Diego, CA, United States |
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Keywords: Breast, Diffusion/other diffusion imaging techniques Diffusion weighted Imaging (DWI) acquisitions are often part of breast cancer MRI protocols. The signal intensity decrease as a function of the b-value in diffusion imaging is non-linear and complex with inconsistent Apparent Diffusion Coefficients. In this abstract, we investigate ADC mapping computation and accuracy. Mapping techniques gave similar performances, with comparable medians and standard deviations. |
| 2552 | Computer 24
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Diagnostic value of 5b and 2b-value-DWI in breast tumors: comparison with combined MRI |
| Aika Okazawa1, Mami Iima1,2, Masako Kataoka1, Ryosuke Okumura3, Sachiko Takahara4, Tomotaka Noda5, Taro Nishi5, Takayoshi Ishimori3, Maya Honda1,6, and Yuji Nakamoto1 | ||
1Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 2Institute for Advancement of Clinical and Translational Science, Kyoto University Hospital, Kyoto, Japan, 3Department of Diagnostic Radiology, Kitano Hospital, Tazuke Kofukai Medical Research Institute, Osaka, Japan, 4Department of Breast Surgery, Kitano Hospital, The Tazuke Kofukai Medical Research Institute, Osaka, Japan, 5Department of Clinical Radiology Service, Kitano Hospital, The Tazuke Kofukai Medical Research Institute, Osaka, Japan, 6Department of Diagnostic Radiology, Kansai Electric Power Hospital, Osaka, Japan |
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Keywords: Breast, Diffusion/other diffusion imaging techniques We propose a DWI-reading method based on the an adjusted BI-RADS lexicons using five b values of 0, 200, 800, 1000, and 1500 s/mm2 (5b-value-DWI). Diagnostic performance was evaluated in comparison with BI-RADS lexicons from standard BI-RADS DCE MRI and a DWI-reading method based on the adjusted BI-RADS lexicons using two b values of 0, 800 s/mm2 (2b-value-DWI).Our proposed DWI reading methods achieved diagnostic performance comparable to the standard BI-RADS. With higher sensitivity and NPV in 5b-value-DWI compared to 2b-value-DWI, DWI reading with 5b-values has the potential to increase diagnostic confidence in differentiating malignant and benign breast tumors. |
| 2553 | Computer 25
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Time-Dependent Diffusion MRI for the Breast to Differentiate between Benign and Malignant Lesions |
| Yun Su1, Xiang Zhang1, Huijun Hu1, Lingjie Yang1, Yu Wang1, Chen Zhao2, and Yishi Wang3 | ||
1Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China, 2Philips Healthcare, Guangzhou, China, 3Philips Healthcare, Beijing, China |
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Keywords: Breast, Breast, Tumor, Diffusion, OGSE, PGSE Defining the nature of benign and malignant breast tumors is essential to reduce unnecessary biopsies of benign tumors. Magnetic resonance imaging (MRI) is the most sensitive imaging modality for evaluating breast carcinoma lesions, but its specificity is relatively low. This study investigated the significance of the parameters for the differential diagnosis of mammary mass using time-dependent diffusion MRI. Results showed significant cell size differences between benign and malignant space-occupying lesions, with high accuracy (85.7%), specificity (83.3%), sensitivity (87.5%) and AUC (0.823). This provides a new direction for noninvasively differentiating benign and malignant lesions of the mammary gland. |
| 2554 | Computer 26
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The diagnostic performance of time-dependent diffusion technique in differentiating benign and malignant breast tumors |
| Jie Ding1,2,3, Zhen Zhang3, Yajia Gu1,2, Yishi Wang4, Xiuzheng Yue4, Dazhi Chen3, Rongrong Zhu3, and Ruoshui Ha3 | ||
1Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China, 2Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China, 3People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China, 4Philips Healthcare, Beijing, China |
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Keywords: Breast, Cancer Some novel biomarkers have emerged from the fact that the ADC depends strongly on the diffusion time, such as the rate of ADC change using two diffusion times for the differentiation of breast tumor types and cell size modeling. In this study, we propose to use Multiband (MB) SENSE to accelerate the data acquisition of OGSE and PGSE sequences and compare the diagnostic value of ADC at different diffusion times as well as cell size imaging parameters using IMPULSED model for breast tumor. Our data showed vin and cellularity and the rate of ADC change have superior diagnostic performance. |
| 2555 | Computer 27
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Comparison of ZOOMit DWI and Conventional DWI with the same geometric parameters at 3T in Patients with Breast Diseases |
| Zhu Kaiguo1, Wang Pingping1, Dang Yanli1, Wang Lifang1, Liu Rumei1, Chen Baoying1, and shaoyu wang2 | ||
1Xi'an International Medical Center Hospital, Xi'an, China, 2MR Scientific Marketing, Siemens Healthineers, Shanghai, China |
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Keywords: Breast, Diffusion/other diffusion imaging techniques DWI performs an important role in the diagnosis of the benign and malignant breast lesions. This study compared the overall image quality, SNR,CNR and the diagnostic performance of ADC values between ZOOMit DWI and conventional DWI in breast cancer with same geometric parameters. The result showed that ZOOMit DWI provided significantly higher image quality and lesion conspicuity than C-DWI with no difference diagnostic performance for ADC values and with almost the same scanning time, which can help to improve the diagnosis efficiency in breast cancer. |
| 2556 | Computer 28
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Value of ADC Histogram Analysis in the Differentiation of Benign and Malignant Breast Lesions Based on Multiplexed Sensitivity Encoding |
| jinrui liu1, Bing Chen2, mengyin xu2, zhihao li3, and zhaohui an2 | ||
1Ningxia Medical University, yin chuan, China, 2General Hospital of Ningxia Medical University, yinchuan, China, 3GE Healthcare China, xian, China |
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Keywords: Breast, Cancer The ADC histogram parameters based on the MUSE-DWI are important indicators for breast cancer diagnosis. ADC5% was more accurate for lesion discrimination than ADCMUSE. |
| 2557 | Computer 29
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MultiBand Acquisition for Breast Restriction Spectrum Imaging |
| Stephane Loubrie1, Ana Rodriguez-Soto1, Michael Carl2, Summer Batasin1, Christopher Conlin1, Tyler Seibert1,3,4, Michael Hahn1, Joshua Kuperman1, Arnaud Guidon2, Anders Dale1,5, Haydee Ojeda-Fournier1, and Rebecca Rakow-Penner1,4 | ||
1Radiology, University of California, San Diego, San Diego, CA, United States, 2Global MR Application and Workflow, GE Healthcare, Boston, MA, United States, 3Radiation medicine, University of California, San Diego, San Diego, CA, United States, 4Bioengineering, University of California, San Diego, San Diego, CA, United States, 5Neurosciences, University of California, San Diego, San Diego, CA, United States |
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Keywords: Breast, Diffusion/other diffusion imaging techniques Diffusion-weighted imaging holds great potential in improving specificity in breast cancer MRI, potentially reducing the number of unnecessary biopsies. Additionally, breast cancer screening protocols would benefit from high-resolution DWI acquisitions, especially in the through-plane direction. In this abstract we explore multi-slice excitation as a promising parallel-imaging tool to improve through-plane image resolution. |
| 2558 | Computer 30
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Differentiating Benign from Malignant Breast Lesions and Molecular Subtypes Using MRI with a Continuous-Time Random-Walk Diffusion Model |
| Huan Chang1, Dawei Wang2, Yuting Li3, Shaoxin Xiang4, Ke Xue4, Peng Kong5, and Qingshi Zeng2 | ||
1Department of Radiology, Shandong Provincial Qianfoshan Hospital, Shandong University, Shandong, China, Jinan, China, 2Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital，Shandong, China, Jinan, China, 3Department of Radiology, The First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Shandong, China, Jinan, China, 4MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China, Shanghai, China, 5Department of Breast Surgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital，Shandong, China, Jinan, China |
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Keywords: Breast, Diffusion/other diffusion imaging techniques Accurately differentiating breast cancer is crucial for clinical treatment. However, it is challenging due to the high heterogeneity of breast cancer. This study used a continuous-time random-walk (CTRW) diffusion model to characterize breast lesions and their molecular subtypes. The malignant lesions had significantly lower ADC, Dm, and α values than benign lesions. Significant differences were also found between luminal A and triple-negative groups in parameter β. And the combination of CTRW parameters yielded better performance in classifying breast cancer than ADC. Therefore, this study highlights that the CTRW parameters are superior to ADC in distinguishing breast lesions and molecular subtypes. |
| 2559 | Computer 31
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Breast cancer diagnosis and prognosis by using a high b-value continuous-time random-walk model |
| Hui Feng1, Hui Liu1, Qi Wang1, Mengyu Song1, Tianshu Yang2, Liyun Zheng2, Dongmei Wu3, Xian Shao4, and Gaofeng Shi1 | ||
1Department of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China, 2Shenzhen United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China, 3Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronics Science, East China Normal University, Shanghai, China, 4Department of Anesthesiology, The Fourth Hospital of Shijiazhuang, Shijiazhuang, China |
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Keywords: Breast, Diffusion/other diffusion imaging techniques Breast cancer is a common cancer that severely threatens the health of women worldwide. The advanced diffusion model using high b-values enables a more comprehensive description of the tumor tissue by cellularity and heterogeneity. In current study, a continuous-time random-walk (CTRW) model was applied to identify malignancy of breast lesions and the association between model-derived parameters and immunohistochemical indices was evaluated. All model-derived parameters could identify tumor malignancy, combined parameter could further discriminate ER+/ER- and PR+/PR- patients, while temporal heterogeneity parameter was significantly correlated with PR expression. The CTRW model has demonstrated potential value in breast cancer diagnosis and prognosis. |
| 2560 | Computer 32
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Prediction of the Prognostic Factors of Breast Cancer Using MRI with a Continuous-Time Random-Walk Diffusion Model |
| Huan Chang1, Dawei Wang2, Yuting Li3, Shaoxin Xiang4, Ke Xue4, Peng Kong5, and Qingshi Zeng2 | ||
1Department of Radiology, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, China, 2Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China, 3Department of Radiology, The First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China, 4MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China, 5Department of Breast Surgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China |
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Keywords: Breast, Diffusion/other diffusion imaging techniques Breast cancer is a heterogeneous tumor, and its treatment is customized determined by the pathologic and tumor molecular features. This study used a continuous-time random-walk (CTRW) diffusion model to characterize prognostic factors status of breast lesions. The parameter β showed significantly differences in ER and PR status and showed significant correlation with ER and PR expression, and the combination of Dm, α, and β produced the best performance in identifying ER and PR status. Our study demonstrated that the CTRW parameters as potential biomarkers were superior to conventional ADC in predicting prognostic factors of breast cancer. |
| 2561 | Computer 33
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Quantitative Assessment of Restriction Spectrum MR Imaging for the Diagnosis of Breast Cancer and Association with Prognostic Factors |
| Yanjin Qin1, Yunfei Zhang2, Yongming Dai2, and Tao Ai1 | ||
1Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Breast, Cancer This study aimed to assess the diagnostic performance of restriction spectrum imaging (RSI)-derived parameters for distinguishing benign from malignant breast lesions compared to conventional DWI values and further evaluate the associations between RSI-derived parameters and prognostic factors of breast cancer. The results indicated the RSI-derived parameters (f1, f3, and f1f2) may facilitate the differential diagnosis between benign and malignant breast lesions. |
| 2562 | Computer 34
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Predicting Molecular Subtypes and Prognostic Factors of Breast Cancer Using Integrated Diffusion MRI |
| Muge Karaman1,2, Yangyang Bu3,4, Guangyu Dan1,2, Zheng Zhong1, Qingfei Luo1, Shiwei Wang3,4, Changyu Zhou3,4, Weihong Hu3,4, X. Joe Zhou1,2,5, and Maosheng Xu3,4 | ||
1Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL, United States, 3The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, China, 4The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China, 5Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States |
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Keywords: Breast, Breast, molecular subtype prediction, heterogeneity, high-b-value diffusion MRI Breast cancer exhibits a wide spectrum of molecular subtypes and, which has important implications in treatment strategies. In this study, we used an integrated diffusion-weighted imaging approach for simultaneous assessment of tissue cellularity, vascularity, and heterogeneity – DISMANTLE – to predict molecular subtypes and prognostic factors of breast cancer. We investigated the feasibility of using the histogram features of the cellularity-, vascularity-, and heterogeneity-related parameters of DISMANTLE for differentiation between luminal-A and luminal-B and HER2+ and HER2- breast cancer. |
| 2563 | Computer 35
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A Physiologically-Decomposed DWI machine-learning model improves prediction of response to NAC treatment in invasive breast cancer |
| Maya Gilad1 and Moti Freiman2 | ||
1Efi Arazi School of Computer Science, Reichman University, Herzliya, Israel, 2Faculty of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel |
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Keywords: Breast, Diffusion/other diffusion imaging techniques Early prediction of pathological complete response (pCR) following neoadjuvant chemotherapy for breast cancer plays a critical role in surgical planning and optimizing treatment strategies. Recently, machine and deep-learning based methods were suggested for early pCR prediction from multi-parametric MRI data with moderate success. We introduce PD-DWI, a physiologically-decomposed DWI machine-learning model to predict pCR from DWI and clinical data. Our model first decomposes the raw DWI data into the various physiological cues that are influencing the DWI signal and then uses the decomposed data, in addition to clinical variables, as the input features of a radiomics-based XGBoost model. |
| 2564 | Computer 36
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An ADC-based Radiomics model: differential diagnosis of mucinous breast carcinoma from similar morphological invasive ductal breast carcinoma |
| yuanfei li1, ning ning1, lina zhang1, qi wu1, siqi zhao1, ailian liu1, qinhe zhang1, jianzhou chen2, jingjing cui2, and lizhi xie3 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Shanghai United Imaging Intelligence, Co., Ltd., Shanghai, China, 3GE Healthcare, Beijing, China |
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Keywords: Breast, Radiomics Mucinous breast carcinomas (MBCs) always have similar morphological manifestations with invasive ductal breast carcinomas (IDCs) on conventional MRI. MBCs have a better prognosis and early treatment can achieve good results. Radiomics is a novel tool automated data feature extraction algorithms，which has the potential to uncover disease characteristics that are difficult to identify by human vision alone. We develop a radiomics model for explore the preoperative differentiation of combining the intratumoral signal intensity (SI) on T2WI and ADC derived from DWI in MBCs and IDC. The results confirm that the model has potential in the differential diagnosis of MBCs and IDC. |
| 2565 | Computer 37
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Image quality ranking for breast diffusion-weighted MRI in a multi-center clinical trial |
| Wen Li1, Julia Carmona-Bozo1, Lisa J Wilmes1, Natsuko Onishi1, Jiachao Liang1, Jessica E Gibbs1, Nu N Le1, Judith Zimmermann1, David C Newitt1, Bonnie N Joe1, John Kornak1, Savannah C Partridge2, Patrick Bolan3, I-SPY 2 Investigator Network4, I-SPY 2 Imaging Working Group1, and Nola M Hylton1 | ||
1University of California, San Francisco, San Francisco, CA, United States, 2University of Washington, Seattle, WA, United States, 3University of Minnesota, Minneapolis, MN, United States, 4Quantum Leap Healthcare, San Francisco, CA, United States |
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Keywords: Breast, Cancer Acquiring breast diffusion-weighted MRI (DWI) with adequate image quality is a challenge in multi-center clinical trials. The most common issues are inadequate fat suppression, image artifacts, and poor signal-to-noise ratio (SNR). We developed and evaluated a DWI quality ranking system for identifying data with quality issues while preserving analyzable data. The identification of artifacts and adequate SNR had the highest and lowest inter-reader agreement, respectively. Removing inferior quality data improved prediction of pathologic outcome following neoadjuvant treatment in a multi-center clinical trial. The quality ranking system standardizes identification of poor quality data and informs recommendations for improvement to clinical sites. |
| 2566 | Computer 38
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Synthetic high-b-value reduced field-of-view DWIs in breast cancer elevates lesion clarity and CNR |
| Qianqian Feng1, Weiyin Vivian Liu2, Ling Sang1, Kejun Wang1, Xingyao Yu1, Wen Chen1, and Lin Xu1 | ||
1Department of Radiology,Taihe hospital, Hubei, China, 2GE Healthcare, MR Research, Beijing, China |
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Keywords: Breast, Diffusion/other diffusion imaging techniques Our study showed synthetic DW images (syDWIs) with high b-value provided better lesion conspicuity, image quality and contrast to noise (CNR), reduce scan time of DWI acquisitions especially at very high b-value, and improved lesion visualization particularly in dense breast. Moreover, derived ADC values showed good consistency between scanned and synthetic DWIs. Therefore, syDWIs with b value of 800 s/mm2 have great potential in elevation of diagnosis confidence and efficacy on tumors and high repeatability of ADC values is helpful in replacement of scanned high-b-value DWIs in clinics despite existed intra-modality, but not inter-modality, difference of manual ROI measures. |
| 2567 | Computer 39
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Longitudinal assessment of variability in a multicenter MRI QC program using the CaliberMRI breast phantom: protocol adherence and ADC values |
| Lisa J. Wilmes1, Jessica E. Gibbs1, Nu N. Le1, Todor Karaulanov2, David C. Newitt1, Kathryn E. Keenan3, Alina Tudorica4, Gwen Bowden5, Yucheng Liu6, Lauren Fang7, Patrick J. Bolan8, Dariya Malyarenko9, Thomas L. Chenevert9, David Van Wie10, Chelsea Pyle4, Bethany Niell5, Richard Ha6, Rebecca Rakow-Penner7, Haydee Ojeda-Fournier7, An Church8, Bonnie N. Joe1, and Nola M. Hylton1 | ||
1University of California San Francisco, San Francisco, CA, United States, 2CaliberMRI, Boulder, CO, United States, 3National Institute of Standards and Technology, Boulder, CO, United States, 4Oregon Health & Science University, Portland, OR, United States, 5Moffitt Cancer Center, Tampa, FL, United States, 6Columbia University Medical Center, New York, NY, United States, 7University of California San Diego, San Diego, CA, United States, 8University of Minnesota Medical School, Minneapolis, MN, United States, 9University of Michigan Health System, Ann Arbor, MI, United States, 10Boulder Labs, Boulder, CO, United States |
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Keywords: Breast, Diffusion/other diffusion imaging techniques CaliberMRI’s multiparametric quantitative breast MRI phantom was scanned with a standard protocol, including DWI, at seven clinical sites as part of a quality control program. Protocol adherence was assessed. ADC values for fibroglandular and malignant breast tissue DWI mimics were calculated and corrected for temperature using the qCal software, and summary reports were generated. Inter- and intra-site variations in ADC derived from DWI phantom scans acquired longitudinally over the last 16 months provided information that can be used to troubleshoot imaging acquisition issues with sites and vendors as part of a phantom-based QC program. |
| 2725 | Computer 21
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Contrasts between DWI and DCE curve in diagnosing malignancies of breast non-mass enhancement lesions based on morphology |
| Yan Li1 | ||
1Tongji Hospital, Wuhan, China |
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Keywords: Breast, Cancer The diagnosis of NMEs is a challenge for most radiologists based only on morphological information. The value of DWI or DCE curves for discriminating malignant lesions from benign lesions was controversial. We estabished and compared the ADC model (ADC+morphology) and the TIC (TIC+morphology) for detecting malignancy with a relatively large sample size of NME lesions. We found that the TIC model was superior than the ADC model for differentiating between benign and malignant NME lesions. A whole DCE-MRI scan for NMEs is recommended without the need to acquire additional DWI data. |
| 2726 | Computer 22
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A comparative study of Kaiser score and BI-RADS in the diagnosis of non-mass enhancement lesions on breast MRI |
| Jiejie Zhou1, Haiwei Miao1, Huiru Liu1, Zhongwei Chen1, Youfan Zhao1, Meihao Wang1, and Min-Ying Su2 | ||
1First affiliated hospital of Wenzhou Medical University, Wenzhou, China, 2University of California, Irvine, California, CA, United States |
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Keywords: Breast, Breast A total of 102 malignant and 60 benign non-mass enhancement lesions were analyzed. Two radiologists with 6 (Reader1) and 14 (Reader2) years of experience assigned the BI-RADS category and Kaiser score (KS). KS decreased biopsy or surgery by 20% for Reader 1 and 16.7% for Reader 2 compared with BI-RADS 4-5. The sensitivity, specificity and accuracy were 87.2%, 78.3% and 84.0% for Reader 1, and 85.2%, 83.3% and 84.6% for Reader 2. Using cutoff threshold of KS>4, the specificity of modified KS increased by 6.7% for both readers, increasing the accuracy slightly by 1.7%-2.5% and keeping the same sensitivity. |
| 2727 | Computer 23
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Value of Native T1 Mapping for Differentiating Benign and Malignant Breast Lesions on MRI: A Pilot Study |
| Chun Lian1, Lulu Zhuang1, Zehao Wang 1, Zhigang Wu2, Yi Dai1, and Rong Huang1 | ||
1Radiology, Peking University Shenzhen Hospital, Shen Zhen, China, 2Clinical & Technical Support, Philips Healthcare (Shenzhen) Ltd, Shen Zhen, China |
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Keywords: Breast, Breast Breast cancer is the most prevalent cancer among women ,early detection and timely treatment are the key to imprve survival rate. In this preliminary study, we aimed to differentiation lesions using native T1mapping. The mean T1 relaxation time was higher in the malignant group compared to the benign group by both observers (p<0.05). Results indicated that native T1mapping could be used to differentiate benign and malignant lesions, which might be promising in clinical applications. However, the combination of T1mapping and DWI dose not improve the AUC statistically significantly.
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| 2728 | Computer 24
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Diagnostic value of APT, DWI, and DCE-MRI in molecular classification and prognosis of breast cancer |
| Xiaoyan Liu1,2, Baojian Wang2, Litao Zhang1, Zhenbo Ma1, Yanlei Wang2, Yishi Wang3, Xiujuan Li1, and Yuanzhong Xie1 | ||
1Taian City Central Hospital, Taian, China, 2Shandong First Medical University, Taian, China, 3Philips Healthcare, Beijing, China |
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Keywords: Breast, CEST & MT, Tumor;Amide proton transfer imaging; According to the molecular classification of breast cancer, the clinical therapeutic strategy is formulated. Currently, the diagnostic value of amide proton transfer (APT) imaging in breast cancer is still unclear. This study aims to explore the diagnostic value of APT, DWI, and DCE-MRI in the molecular classification and prognosis of breast cancer. Our results showed that there were differences in TTP and BE values between luminal and non-luminal subtypes of breast cancer. The combination of APT, DWI, and DCE-MRI had the highest diagnostic efficiency. APT, DWI, and DCE-MRI parameters were correlated with different prognostic factors of breast cancer. |
| 2729 | Computer 25
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Diagnostic performance of DCE-MRI for the axillary sentinel lymph nodes status in breast cancer patients |
| Fang Xiao1, Mingli Jin2, Peng wang1, Zhihua Pan2, Qi Zhao2, Ying Jiang2, Miaoqi Zhang3, and Yong Zhang3 | ||
1Department of Radiology,The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China, 2The Second Affiliated Hospital of Chengdu Medical College, Nuclear Corportation 416 Hosptital, chengdu, China, 3GE Healthcare, MR Research, Beijin, China |
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Keywords: Breast, Cancer, contrast-enhanced (DCE) MRI, sentinel lymph nodes Sentinel lymph nodes(SLN) status is one of the most important indicators affecting breast cancer patient treatment and prognostic. Thus, a non-invasive diagnostic method capable of accurately predicting of the SLN status is of great value in selecting breast cancer patients who would benefit from therapy. In this study, we investigate the diagnostic performance of different SLN status [pN0, pN0 (i+), pN1mi, and pN1] using dynamic contrast-enhanced (DCE) MRI.We found that (1) Krans, Kep, and Ve are significantly different in different SLN status, (2) and the Ktrans is the best single parameter for the detection of SLN status. |
| 2730 | Computer 26
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Comparison of DWI score and Kinetic score as a Prognostic Marker in Breast Cancer Patients receiving Neoadjuvant Systemic Treatment. |
| Rie Ota1, Masako Kataoka2, Mami Iima2, Maya Honda3, Aika Okazawa2, Yosuke Yamada4, Yasuhide Takeuchi4, Masakazu Toi5, Takeshi Kubo1, and Yuji Nakamoto2 | ||
1Department of Radiology, Tenri Hospital, Nara, Japan, 2Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University graduate school of medicine, Kyoto, Japan, 3Department of Diagnostic Radiology, Kansai Electric Power Hospital, Osaka, Japan, 4Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan, 5Department of Breast Surgery, Kyoto University Hospital, Kyoto, Japan |
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Keywords: Breast, Cancer, disease-free survival This study aimed to investigate the association of DWI score of breast cancer derived from MRI obtained after neoadjuvant systemic treatment (NST) with disease-free survival (DFS). Kinetic score from standard DCE-MRI at the same timing was analyzed for comparison. Kaplan-Meier analysis showed that patients with DWI score of 2 showed significantly shorter DFS than those with DWI score 0 or 1. Patients with kinetic score of 2 or 3 showed significantly shorter DFS than those with kinetic score of 0 or 1. DWI score demonstrated excellent inter-reader agreement and is suitable for predicting prognosis of breast cancer patients after NST. |
| 2731 | Computer 27
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Added Value of Quantitative DCE-MRI in Prediction of Breast Cancer Recurrence Following Neoadjuvant Chemotherapy? |
| Rajat Thawani1, Lina Gao2, Ajay Mohinani3, Alina Tudorica4, Xin Li5, Zahi Mitri1, and Wei Huang5 | ||
1Hematology and Oncology, Oregon Health and Science University, Portland, OR, United States, 2Biostatistics Shared Resource, Oregon Health and Science University, Portland, OR, United States, 3Medicine, Oregon Health and Science University, Portland, OR, United States, 4Radiology, Oregon Health and Science University, Portland, OR, United States, 5Advanced Imaging Research Center, Oregon Health and Science University, Portland, OR, United States |
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Keywords: Breast, Cancer Breast cancer patients treated with neoadjuvant chemotherapy (NACT) are at risk of recurrence depending on clinicopathological characteristics. This preliminary study aimed to investigate the predictive performances of quantitative dynamic contrast-enhanced (DCE) MRI parameters, alone and in combination with clinicopathological variables, for prediction of recurrence in patients treated with NACT. Pre- and post-NACT DCE-MRI parameters performed better than tumor size measurement in prediction of recurrence, whether alone or in combination with clinicopathological variables. Combining post-NACT Ktrans with residual cancer burden and age showed the best improvement in predictive performance with ROC AUC = 0.965. |
| 2732 | Computer 28
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Quantitative calculation of breast density with proton density fat fraction enables distinction between latest subjective BI-RADS categories |
| Isobel Gordon1,2, George Ralli2, Amy Herlihy2, Carolina Fernandes2, Amy O'Brien3, Sally Collins1,2, and Michael Brady2,4 | ||
1Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom, 2Perspectum Ltd., Oxford, United Kingdom, 3Stoke Mandeville Hospital, Buckinghamshire Healthcare NHS Trust, Aylesbury, United Kingdom, 4Department of Oncology, University of Oxford, Oxford, United Kingdom |
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Keywords: Breast, Fat, Breast density Breast density is a well-established risk factor for breast cancer but conventional visual assessment using mammography has high operator variability. Proton density fat fraction (PDFF) derived from chemical shift encoded (CSE)-MRI has recently been proposed as a quantitative, non-ionising, operator-independent tool for the calculation of breast density. This study demonstrates that breast density derived from PDFF maps which account for a breast-specific fat spectrum can distinguish between the latest density categorisations used in clinical practise and thereby may have use in cancer risk assessment and as a determinant of clinical pathways. |
| 2733 | Computer 29
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MR-derived breast density (MagDensity) enables reliable density measures across field strengths and vendors |
| Jia Ying1, Renee Cattell1,2, and Chuan Huang1,3 | ||
1Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 2Radiation Oncology, Stony Brook Medicine, Stony Brook, NY, United States, 3Radiology, Stony Brook Medicine, Stony Brook, NY, United States |
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Keywords: Breast, Breast The current standard of care for breast density assessment using mammography according to the Breast Imaging Reporting and Data System (BI-RADS) is subjective and can also suffer from intra- and inter-reader variability. Quantitative measurement of breast density is crucial for personalized risk assessment and longitudinal monitoring. Our team has previously developed a quantitative, MR-derived BD (MagDensity) measurement based on fat-water decomposition, which has shown high accuracy and test-retest reproducibility within a single scanner. In order for this measure to be practical for clinical adoption, this study aims to determine the reliability of MagDensity across scanners, field strengths, and vendors. |
| 2734 | Computer 30
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The application of multiband acceleration technique in temporal diffusion spectroscopy for breast tumor imaging |
| Jie Ding1,2,3, Zhen Zhang3, Yajia Gu1,2, Yishi Wang4, Xiuzheng Yue4, Dazhi Chen3, Rongrong Zhu3, and Ruoshui Ha3 | ||
1Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China, 2Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China, 3People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China, 4Philips Healthcare, Beijing, China |
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Keywords: Breast, Diffusion/other diffusion imaging techniques Both the IMPULSED and MRI-cytometry approaches are based on temporal diffusion spectroscopy (TDS), which connotes the acquisitionof dMRI data with a range of diffusion times expressed in terms of components of a diffusion spectrum.MR cell size imaging is possible with IMPULSED and MRI-cytometry using the theory of TDS. In this study, we proposed to use multiband to accelerate the data acquisition for TDS and compared the IMPULSED quantitative parameters and derivative ADC spectrum for two protocols. Our results showed the consistency in IMPULSED quantitative parameters and ADC calculation for the multiband accelerated protocol with the results without using multiband. |
| 2735 | Computer 31
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Optimizing Breast Isotropic DCE-MRI Imaging Based on Compressed SENSE Technique |
| Ning Ning1, Lina ZHANG1, Zhuo WANG1, Qi WU1, Hongbing LIANG1, Qingwei SONG1, Ailian LIU1, and Yiming Wang2 | ||
1First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Clinical and Technical Support,PhilipsHealthcare, Shanghai, China |
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Keywords: Breast, Breast Dynamic contrast-enhanced (DCE) MRI is a multi-phase sequence that is limited by long scan times, which makes acquisition acceleration necessary to accomplish clinical feasibility. The aim of this study was to investigate the effect of different Acceleration Factors (AFs) on the image quality of isotropic DCE-MRI acquired with the Compressed SENSE (CS) technique, and to find the optimal AF for the isotropic DCE-MRI.CS factors of 4 to 7 were compared against the conventional SENSE technique in 43 patients. Preliminary results show a CS factor of 5 is the optimal AF with optimized image and velocity data quality. |
| 2736 | Computer 32
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Ultrashort Echo Time (UTE) MRI in the Detection and Classification of Microcalcification in Breast Cancer |
| Yazan Ayoub1, Sai Man Cheung1, Boddor Maglan1, Ehab Husain2, Yazan Masannat3, and Jiabao He1,4 | ||
1Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, United Kingdom, 2Department of Pathology, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 3Breast Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 4Newcastle Magnetic Resonance Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom |
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Keywords: Breast, Cancer Micro-calcification is a central feature of breast cancer, and clinically revealed on mammography. Mammography, a two dimensional imaging approach, is inadequate to provide refined classification. Conventional MRI cannot capture the rapid signal decay from micro-calcification, with Ultra Short Echo Time (UTE) developed to image short T2* species. UTE demands precise control of the hardware to minimise the time delay between radiofrequency transmission and image acquisition, while substantial effort is required to optimise image quality and contrast. We set out to examine the degree of calcification in breast tumour specimens freshly excised from patients using UTE, with comparison against histopathological findings. |
| 2737 | Computer 33
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Imaging Microstructural Parameters of Breast Tumor in Patient Using Temporal Diffusion Spectroscopy |
| Shuyi Peng1, Peng Sun2, Zhigang Wu2, and Fan Yang1 | ||
1Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2Philips Healthcare, Beijing, China |
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Keywords: Breast, Diffusion/other diffusion imaging techniques, OGSE; IMPULSED; Breast tumor This study aimed to investigate the feasibility of temporal diffusion spectroscopy (the IMPULSED technique) for breast imaging. The result shows that the diffusion MRI–based microstructural mapping can evaluate the cell size in breast tumors and may demonstrate pathologic findings promise for characterizing breast cancer. |
| 2738 | Computer 34
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Realistic Digital Reference Object (DRO) toolkit for quantitative breast Ultra-Fast Dynamic Contrast-Enhanced (UF-DCE) MRI |
| Jonghyun Bae1,2,3,4, Zhengguo Tan5, Zhengnan Huang1, Laura Heacock2,3, Linda Moy2,3, Florian Knoll5, and Sungheon Gene Kim4 | ||
1Vilcek Institute of Graduate Biomedical Science, NYU School of Medicine, New York, NY, United States, 2Center for Biomedical Imaging, Radiology, NYU School of Medicine, New York, NY, United States, 3Center for Advanced Imaging Innovation and Research, Radiology, NYU School of Medicine, New York, NY, United States, 4Radiology, Weill Cornell Medical College, New York, NY, United States, 5Biomedical Engineering, Friedrich-Alexander-Universitat Erlangen-Nurnberg, Erlangen, Germany |
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Keywords: Breast, DSC & DCE Perfusion Reconstruction of highly accelerated dynamic images is challenging and requires rigorous validation of reconstruction methods. We proposed a digital reference object (DRO) toolkit that provides realistic morphology and contrast dynamics in breast cancer. We acquired various base images containing real breast cancer lesions and simulated realistic contrast dynamics using the estimated kinetic parameters. Our toolkit provides a large number of reference objects with wide ranges of the dynamic images, kinetic parameters, segmentation masks, and k-space data. These realistic DROs with known ground-truth values can be used for different studies, including validation of reconstruction and training deep neural network. |
| 2739 | Computer 35
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A novel nomogram built from mDixon-Quant MRI-based radiomics features and clinical characteristics for grading invasive ductal breast cancer |
| Zhuo Wang1, Lina Zhang1, Qi Wu1, Ning Ning1, Hongbing Liang1, Qingwei Song1, Qinhe Zhang1, Ailian Liu1, and Peng Sun2 | ||
1First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Clinical and Technical Support, Philips Healthcare, WuHan, China |
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Keywords: Breast, MR Value The histological grade of invasive breast cancer should be obtained by invasive needle biopsy , and the extracted tissue might not represent the heterogeneity of the whole tumor. Therefore, a novel nomogram was built from mDixon-Quant MRI-based radiomics features and traditional clinical image characteristics for grading invasive ductal breast cancer. The AUC of the combined model reached 0.907, which was significantly higher than that of the model only using traditional clinical image characteristics (0.782) or radiomics features (0.834). The proposed method can be an effective supplement to conventional breast MRI in predicting the histological grade of invasive ductal breast cancer. |
| 2740 | Computer 36
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Accelerated DWI with deep learning reconstruction in 3T breast MRI: initial clinical experiences and image quality |
| Caroline Wilpert1, Hannah Schneider1, Claudia Neubauer1, Thomas Benkert2, Elisabeth Weiland2, Ralph Strecker3, Marco Reisert4, Jakob Weiß1, Matthias Benndorf1, Fabian Bamberg1, Marisa Windfuhr-Blum1, and Jakob Neubauer1 | ||
1Departement of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany, 2MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 3EMEA Scientific Partnerships, Siemens Healthcare GmbH, Erlangen, Germany, 4MR Physics, University Hospital Freiburg, Freiburg im Breisgau, Germany |
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Keywords: Breast, Diffusion/other diffusion imaging techniques This prospective study evaluated image quality features of a novel accelerated DWI with deep learning image reconstruction in 3T breast MRI in a clinical setting in direct comparison to conventional DWI. Deep learning DWI (DL-DWI) shows a drastically shortened acquisition time of 46% compared to standard DWI, while maintaining a high image quality. Even though some image quality features were rated superior in standard DWI, image quality remained good for DL-DWI and lesion conspicuity scores were rated superior for DL-DWI compared to conventional breast DWI. Therefore, DL-DWI seems a feasible technique for accelerated breast DWI. |
| 2741 | Computer 37
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Feasibility study for developing a reproducible AI-driven breast segmentation and composition algorithm from axial T2-weighted sequences |
| Saurabh Garg1, Saqib Basar1, Nasrin Akbari1, Thanh-Duc Nguyen1, Sean London2, Yosef Chodakiewitz2, Rajpaul Attariwala1, and Sam Hashemi1 | ||
1Voxelwise Imaging Technology Inc, Vancouver, BC, Canada, 2Prenuvo, Vancouver, BC, Canada |
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Keywords: Breast, Machine Learning/Artificial Intelligence, Fatty tissue, Screening BI-RADS breast tissue composition defines which imaging modality is best suited for tissue examination. However it is subjective and varies between readers whereas AI techniques have been shown to remove subjectivity. We evaluate the use of state-of-the-art AI algorithms on a general whole-body noncontrast MRI to quantify the amount of fat versus nonfat tissue and compare with radiologists reports. Our results show significant correlation between the AI and radiologists' decisions. Further, we show on large dataset that the rate of replacement of nonfat fibroglandular tissue with fatty tissue is almost triple the rate in premenopausal women than postmenopausal women. |
| 2742 | Computer 38
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Estimation of Fatty Acid Composition in Mammary Adipose Tissue Using Unsupervised Approach of Deep Learning |
| Suneeta Chaudhary1, Elizabeth Lane2, Eileen Chang3, Anika McGrath2, Eralda Mema2, Allison Levy4, Melissa Reichman2, Katerina Dodelzon4, Marcel Dominik Nickel5, Linda Moy6, Michele Drotman2, and Sungheon Gene Kim1 | ||
1Radiology, Weill Cornell Medical College, New York, NY, United States, 2Weill Cornell Medical College, New York, NY, United States, 3Weill Cornell Medical college, New York, NY, United States, 4Weill Cornell Medical College, New york, NY, United States, 5MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 6New York University School of Medicine, New York, NY, United States |
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Keywords: Breast, Cancer The purpose of this study is to develop a non-invasive imaging method to measure the fatty acid composition (FAC) of mammary adipose tissue (MAT) and to investigate its role in breast cancer. A novel unsupervised deep learning approach has been developed using the MRI signal equation of fat peaks in the loss function to generate the FAC maps without using any training data. It takes less computational efforts than conventional voxel-wise analysis techniques. The repeatability and reproducibility of the proposed method have been examined on six subjects, which showed no statistically significant difference between repeated analyses and scans. |
| 2743 | Computer 39
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Deep Learning Radiomics of Preoperative Breast MRI for Prediction of Axillary Lymph Node Metastasis in Breast Cancer |
| yanhong chen1, lijun wang1, ran luo1, huanhuan liu1, and dengbin Wang1 | ||
1Xinhua Hospital Affiliated to Shanghai Jiao Tong University School Of Medicine, shanghai, China |
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Keywords: Breast, Radiomics, Deep Learning This study described the application of MRI-based deep learning radiomics in patients with breast cancer, presenting a novel individualized clinical decision nomogram that could be used to predict axillary lymph node metastasis providing a noninvasive approach to assist clinicians in clinical decision-making. |
| 2959 | Computer 81
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To evaluate the utility of magnetization transfer (MT) imaging in the study of normal uterus and common uterine lesions. |
| Qiu Bi1, Kunhua Wu1, and Yunzhu Wu2 | ||
1the First People’s Hospital of Yunnan Province, Kunming, China, 2Siemens Healthcare, Shanghai, China |
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Keywords: Uterus, Tumor In this study, we explored the value of MT imaging to characterize normal uterine structures and common uterine lesions by measuring MTR values. The results showed the MTR values were significantly different among normal uterine structures, among uterine lesions of different origin, or between some uterine lesions and corresponding normal structures. MTR values were found to be effective in the diagnosis and differential diagnosis of certain uterine diseases. It might provide a preoperative basis for neoplastic histologic origin in the uterus. |
| 2960 | Computer 82
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Reduced acquisition time of female pelvis diffusion weighted imaging (DWI) using LIPO-only (LION) DWI |
| Daichi Murayama1, Masami Yoneyama2, Takayuki Sakai1, Iain Ball3, and Shigehiro Ochi4 | ||
1Radiology, Eastern Chiba Medical Center, Chiba, Japan, 2Philips Japan, Tokyo, Japan, 3Philips Australia & New Zealand, North Ryde, Australia, 4Eastern Chiba Medical Center, Chiba, Japan |
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Keywords: Pelvis, Diffusion/other diffusion imaging techniques We hypothesized that LIPO-only (LION) DWI might be one of the best solutions to reduce the acquisition time of female pelvis DWI if it is further optimized to increase the robustness of fat suppression. We compared the image quality of DWI in the female pelvis between the conventional method (SPAIR-DWI) and the proposed method (LION-DWI) to investigate their clinical usefulness. LION-DWI showed correct signal decay because fat suppression pre-pulse was not applied . LION-DWI can reduce acquisition time of the pelvis DWI while maintaining the SNR and sufficient image contrast. |
| 2961 | Computer 83
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Application of MultVane XD combined with compressed sensing in T2-weighted imaging of uterus |
| Haonan Zhang1, Qingwei Song1, Jiazheng Wang2, and Ailian Liu1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, Dalian, China, 2Philips Healthcare, Beijing, China, Beijing, China |
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Keywords: Pelvis, Uterus Through the radial K-space filling, MultiVane XD(MVXD) can significantly reduce magnetic motion artefacts. As the filling percentage increases, artifacts are significantly reduced, but the scanning time gradually increases. The purpose of this study is to investigate the appropriate compressed sensing(CS) acceleration factor(AF) and filling percentage for clinical uterus T2WI. |
| 2962 | Computer 84
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Comparison between the application value of reduced FOV multi-shot echo-planar DWI and conventional single-shot echo-planar DWI |
| Haini Zhang1, Jianwei Zeng2, Yankai Meng2, Peng Wu3, Lu Han3, and Yinping Zhuang4 | ||
1School of Medical Technology，Xuzhou Medical University, Xuzhou, China, 2Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, China, 3Philips Healthcare, Shanghai, China, 4School of Medical Imaging, Xuzhou Medical University, Xuzhou, China |
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Keywords: Pelvis, Tumor We have compare the performance of reduced field of view （rFOV）image reconstruction using image-space sampling function （IRIS）diffusion weighted imaging （DWI）sequence and full field of view (fFOV) single-shot echo-planar imaging （SSEPI）diffusion weighted imaging（DWI）sequence for rectal cancer patients. And found that compared to fFOV ssEPI-DWI sequence, rFOV IRIS-DWI sequence has a better resolution, reduced sensitivity artifacts, image distortion, and improved image quality in rectal cancer patients. |
| 2963 | Computer 85
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Comparison of Image Quality Improvement between Women’s Pelvic DWI with and without Reverse Encoding Distortion Correction at a 1.5 T MR System |
| Takahiro Ueda1, Yoshiharu Ohno1, Kaori Yamamoto2, Natsuka Yazawa2, Ikki Tozawa3, Kazuya Takeda3, Takashi Fukuba3, Masato Ikedo2, Masao Yui2, Hiroyuki Nagata4, and Hiroshi Toyama1 | ||
1Department of Radiology, Fujita Health University School of Medicine, Toyoake, Japan, 2Canon Medical Systems Corporation, Otawara, Japan, 3Department of Radiology, Fujita Health University Bantane Hospital, Nagoya, Japan, 4Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan |
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Keywords: Pelvis, Diffusion/other diffusion imaging techniques We hypothesized that RDC is able to improve image quality on DWI with b value with reducing distortion artifact in women’s pelvic field, when compared DWI without RDC. The purpose of this study was to determine the capability for image quality improvements between women’s pelvic DWI with and without RDC at a 1.5 T MR system. |
| 2964 | Computer 86
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Evaluate the value of Curved Planar Reconstruction of 3D high-resolution T2WI for the Detection of Deep Infiltrative Endometriosis |
| Ye Li1, Ailian Liu1, Jiazheng Wang2, and Liangjie Lin2 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Clinical and Technical Support, Philips Healthcare, Beijing, China |
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Keywords: Pelvis, Image Reconstruction 22 DIE patients were scanned for comparison of diagnostics accuracy between ordinary reconstruction and curved planar reconstruction image of 3D-CS-HR T2WI sequence. Results indicate that Curve images improved the detection of ectopic lesions in each ligament of the pelvic floor. |
| 2965 | Computer 87
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Feasibility study of predicting invasive placenta accreta and adverse clinical outcomes based on quantitative MRI parameters |
| Fei Fei Zeng1, Yun Fei Zha1, and Weiyin Vivian Liu2 | ||
1Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China, 2MR Research, GE Healthcare, Beijing, China |
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Keywords: Placenta, Placenta Clear prenatal diagnosis and correct intraoperative treatment can ensure the safety of the fetus and pregnant women. Logistic regression analysis based on quantitative MRI parameters showed that abortion times, diameter of hyperplastic vessels in placenta and protrusion of uterus were independent risk factors for invasive placenta accreta. Diameter of hyperplastic vessels in placenta, area of low signal band on T2WI in placenta and protrusion of uterus were independent risk factors for predicting adverse clinical outcomes. Our study showed the accuracy of the binary Logistic regression model in prediction of placenta type and adverse clinical outcome was 91.3%. |
| 2966 | Computer 88
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A two-perfusion IVIM model to account for both villous and trophoblast perfusion in the human placenta |
| Alessandra Maiuro1,2, Giada Ercolani3, Maria Grazia Porpora4, Carlo Catalano3, Lucia Manganaro3, and Silvia Capuani1,2 | ||
1Physics, CNR Institute for Complex Systems (ISC), Rome, Italy, 2Physics, Sapienza University of Rome, Rome, Italy, 3Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, Rome, Italy, 4Maternal and Child Health and Urological Sciences, Umberto I Hospital, Sapienza University of Rome, Rome, Italy |
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Keywords: Placenta, Diffusion/other diffusion imaging techniques, IVIM, two-perfusion, villi, trophoblasts The placenta may incur several pathologies during fetal growth due to perfusion impairment such as Fetal-Growth-Restriction (FGR) and the accretism. Two-perfusion IVIM model (with f1, D1*, f2, D*2 and D parameters) and IVIM model were used to fit data. DWIs were corrected for distributed noise χ. Mean-values differences of the quantified parameters in diseased and healthy placentas were analyzed by ANOVA test. The slower f2 perfusion fraction associated with trophoblastic perfusion was significantly lower in FGR compared to normal placenta, whereas the faster f1, quantifying villi perfusion fraction, was higher in the accretism compared to healthy placenta zone. |
| 2967 | Computer 89
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The value of Intravoxel incoherent motion quantitative parameters in predicting Peritoneal Metastasis of Ovarian Cancer |
| Qingling Song1, Ye Li1, and Ailian Liu1 | ||
1Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Pelvis, Cancer Ovarian cancer is a common fatal malignant tumor in clinic, and it is also a malignant tumor in the female reproductive system, which is third common followed cervical cancer and uterine cancer. It is easy to metastasize, among which peritoneal implantation is a common way of metastasis in the early stage. |
| 2968 | Computer 90
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Vascular Assessment of Rhesus Macaque Placental Injury through Maternal Intervillous Blood Volume Measurement |
| Ruiming Chen1, Logan T. Keding2,3, Jessica Vazquez2,3, Kathleen Antony4, Heather A. Simmons2,3, Kevin M. Johnson1,5,6, Aleksandar K. Stanic4, Ruo-Yu Liu1, Dinesh M. Shah4, Thaddus G. Golos2,3,4, and Oliver Wieben1,5,6 | ||
1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Wisconsin National Primate Research Center, University of Wisconsin - Madison, Madison, WI, United States, 3Comparative Biosciences, University of Wisconsin - Madison, Madison, WI, United States, 4Obstetrics & Gynecology, University of Wisconsin - Madison, Madison, WI, United States, 5Radiology, University of Wisconsin - Madison, Madison, WI, United States, 6Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States |
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Keywords: Placenta, Quantitative Imaging Early assessment of utero-placental vasculature is an important novel approach to predicting pregnancy outcomes and fetal growth. Ferumoxytol-enhanced MRI is a powerful tool to measure intervillous fractional blood volume (FBV) in vivo, which could reflect structural and vascular health in the placenta. This study reports such measurements for rhesus macaque placentas that underwent localized Tisseel injections to mimic the effects of local ischemia. We observed increased regions of low FBV with gestation following the Tisseel injection. |
| 2969 | Computer 91
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Intravoxel incoherent motion MRI combined with Doppler findings in predicting very low birth weight infants |
| Jing Deng1, Aining Zhang1, Meng Zhao1, Xihu Mu1, Xin Zhou2, Feifei Qu3, Jiacheng Song1, and Ting Chen1 | ||
1Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 2Department of Obstetrics & Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 3Department of Radiology, Siemens Healthineers Ltd, Shanghai, China |
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Keywords: Placenta, Perfusion Very low birth weight infants (VLBWI) are an adverse pregnancy outcome in small for gestational age infants (SGA). We explored the value of intravoxel incoherent motion (IVIM) histogram parameters and Doppler parameters in predicting VLBWI from SGA. Compared with the SGA group, true diffusion coefficients (Dmean, D50th, D75th, D90th) and perfusion fraction (fmax) were significantly lower, and umbilical artery pulsatility index, resistance index (RI), and peak systolic velocity/end-diastolic velocity were significantly higher in the VLBWI group. A combined predictive model (D90th and RI) improved diagnostic performance and demonstrated the potential of IVIM histogram analysis for clinical diagnosis of VLBWI. |
| 2970 | Computer 92
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Changes of uterine morphology and endometrial T2 signal intensity in endometrial fibrosis |
| Nan Zhou1, Weibo Chen2, and Zhengyang Zhou1 | ||
1Department of Radiology, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China, 2Philips Healthcare, Shanghai, China |
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Keywords: Uterus, MR Value, Endometrial fibrosis; Magnetic resonance imaging; Noninvasive evaluation Uterine morphology and endometrial T2 signal intensity can evaluate endometrial fibrosis |
| 2971 | Computer 93
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Quantitative Placental R2* Mapping on Rhesus Macaques with Ischemic Injury Model |
| Ruo-Yu Liu1, Logan T. Keding2,3, Jessica Vazquez2,3, Jitka Starekova4, Ante Zhu4,5, Ruiming Chen1, Kathleen M. Antony6, Heather A. Simmons2,3, Aleksandar K. Stanic6, Diego Hernando1,4, Dinesh M. Shah6, Thaddeus G. Golos2,3,6, and Oliver Wieben1,4,5 | ||
1Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, WI, United States, 3Department of Comparative Biosciences, University of Wisconsin-Madison, Madison, WI, United States, 4Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 5Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 6Department of Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, WI, United States |
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Keywords: Placenta, Quantitative Imaging, R2* mapping Placental R2* mapping is a non-invasive, quantitative biomarker with the potential to identify deficiency in uteroplacental oxygenation and blood flow, which would be of significant value in predicting and monitoring pregnancy complications. We introduce a novel thrombotic placental injury model and report mean values, histograms, and spatial distribution of baseline R2* at different gestational ages in healthy and ischemic rhesus macaque placenta based on blood oxygenation level dependent (BOLD) MR imaging. Higher increases in mean values and different spatial patterns of R2* are observed in placenta with induced ischemia. |
| 2972 | Computer 94
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IVIM helps accurately diagnose PAS by showing the basal plate of placenta |
| Liu Ting1, Lu Jiaojiao1, Li Junjun1, Hou Huilian1, and Yang Jian1 | ||
1First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China |
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Keywords: Placenta, Placenta Placenta accreta spectrum (PAS) is a serious threat to maternal life, but ultrasound and conventional MRI have limitations in the diagnosis of PAS. Intravoxel incoherent motion (IVIM) is a technique of diffusion weighted MR imaging, which allows separation of tissue diffusivity and perfusion information based on the signal intensity at varying degrees of b values. We found that IVIM was able to diagnose PAS by showing the basal plate of placenta, the structure dividing the placenta and the uterus. This new finding could improve the diagnostic efficacy of MRI in the diagnosis of PAS. |
| 2973 | Computer 95
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Diffusion kurtosis and intravoxel incoherent motion in predicting postpartum hemorrhage in patients at high risk for PAS disorders |
| Tao Lu1 | ||
1Sichuan Provincial People’s Hospital, Chengdu, China |
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Keywords: Placenta, Placenta PAS is commonly associated with postpartum hemorrhage.DKI and IVIM were used to evaluate the placenta.The amount of bleeding during delivery was positively correlated with D, D*, f, and MD, but negatively correlated with MK.D and D* were significantly higher while MK was significantly lower in patients with PPH.A combination of placenta previa and D can be used to predict PPH in patients at high risk for PAS disorders |
| 2974 | Computer 96
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Magnetic Resonance Imaging Based Radiomics of Axial and Sagittal Orientation in Suspected Placenta Accreta Spectrum Pregnancies |
| Quyen N. Do1, Diane M. Twickler1,2,3, Matthew A. Lewis1, Christina L. Herrera2,3, David Owen2, Ananth J. Madhuranthakam1,4, Catherine Y. Spong2,3, Baowei Fei1,5,6, Robert E. Lenkinski1, and Yin Xi1,7 | ||
1Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 2Obstetrics & Gynecology, UT Southwestern Medical Center, Dallas, TX, United States, 3Parkland Health and Hospital System, Dallas, TX, United States, 4Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States, 5Center for Imaging and Surgical Innovation, UT Dallas, Richardson, TX, United States, 6Bioengineering and Computer Science, UT Dallas, Richardson, TX, United States, 7Population and Data Sciences, UT Southwestern Medical Center, Dallas, TX, United States |
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Keywords: Placenta, Radiomics, placenta accreta spectrum, MR images, hysterectomy Placenta accreta spectrum (PAS) is associated with significant morbidity and mortality. We applied ROI-based radiomics analysis on axial and sagittal plane MR images in women with placenta previa and a history of previous cesarean delivery. Our goal was to compare MR textural features extracted from axial and sagittal imaging planes and compare findings to surgical outcomes. Radiomics features were significant in both anatomical planes in the MRIs of women who underwent hysterectomy. |
| 2975 | Computer 97
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MRI Based Differential Analysis of Levator Ani Hiatus Area in Healthy Women at Different Ages ：A Retrospective Study |
| Xiaoyi He1,2, Hengcui Sun2, Yiting Guo2, Weiqiang Dou3, Dmytro Pylypenko3, Xinghua Xu1, Dexin Yu1, Qing Wang1, and Fang Wang1 | ||
1Department of Radiology, Qilu Hospital of Shandong University, Jinan, China, 2Department of Radiology, The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China, 3MR Research, GE Healthcare, Beijing, China |
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Keywords: Pelvis, Normal development This study aimed to investigate the correlation between hiatus area and age in healthy women. 552 female subjects, divided into four groups (young, young-middle, middle, middle-elderly) based on age, were selected to underwent pelvic T2-weighted MRI for measuring hiatus area. Age showed a positive correlation with hiatus area. Also, statistically significant difference in hiatus areas was found between any two groups, except for between young-middle and middle group, and between middle and middle-elderly group. We thus proved that hiatus area of healthy women increases with age, which might serve as a reference standard in clinic. |
| 2976 | Computer 98
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Predict intraoperative hemorrhage during curettage treatment of cesarean scar pregnancy using free-breathing GRASP DCE-MRI |
| Zhigang Wang1, Fengleng Yang1, Chunying Liu1, Fang Wang1, Ying Ying Xiong2, Qiang Zhang2, Meining Chen 3, and Hua Lai1 | ||
1Radiology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Scienc, Chengdu, China, 2Gynecology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Scienc, Chengdu, China, 3MR Scientific Marketing, Siemens Healthineers, Shanghai, China |
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Keywords: Urogenital, Reproductive, Cesarean Scar Pregnancy; Dynamic Magnetic Resonance Imaging; Dynamic Contrast Enhancemen; Prediction Ability; Surgical Risk Cesarean scar pregnancy (CSP) is a rare form of ectopic pregnancy with curettage often being the first-line treatment. However, uncontrollable intraoperative hemorrhage is one of common complications during the treatment, making its prediction a critical for treatment planning. The aim of this study was to explore the feasibility of using GRASP DCE-MRI to characterize peritrophoblastic perfusion and predict intraoperative hemorrhage for CSP. The study found that presurgical Wash-in, TTP, iAUC, Ktrans, and Ve were significantly different between hemorrhage and non-hemorrhage groups identified during curettage. The ROC-AUC analysis further demonstrated their capability of serving as intraoperative hemorrhage predictors for CSP. |
| 2977 | Computer 99
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O-RADS Classification Performance for Differentiating Benign and Malignant Lesions and Try to Optimize its Usage |
| wang yilin1, Chen yan1, and Xu xiaojuan1 | ||
1Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China |
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Keywords: Urogenital, MR Value, ovarian The newly launched O-RADS scoring system was developed to address the qualitative problem of pelvic masses. However, the use of the O-RADS system in different regional populations still needs to be further verified. And the applicability of the 0-RADS scoring system for doctors of different seniority remains to be studied. |
| 2978 | Computer 100
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Test-retest repeatability of motility MRI in healthy volunteers and patients with Crohn’s disease |
| Octavia Bane1,2, David Bennett3, Emre Altinmakas1, Ghadi Abboud1, Amine Geahchan1, Jordan Cuevas1,2, Alex Menys4, Ryan Ungaro5, Jean-Frederic Colombel5, and Bachir Taouli1,2 | ||
1Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Takeda Pharmaceuticals, Cambridge, MA, United States, 4Motilent Ltd, London, United Kingdom, 5Department of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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Keywords: Digestive, Quantitative Imaging, bowel, Crohn's disease Our study aims to determine test-retest repeatability in motility (bowel wall motion) index derived from CINE-MRI measured in involved and uninvolved small bowel in patients with Crohn’s disease and in healthy volunteers, to determine a clinically significant threshold of motility change in response to treatment.Motility was lower in the involved areas compared to uninvolved small bowel, and in the uninvolved small bowel ofpatients compared to that of healthy volunteers. We found moderate test-retest repeatability in the motility index of involved bowel (provide average CV) and in the ratio ofmotility indices in involved small bowel and in uninvolved small bowel. |
| 3136 | Computer 81
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Translation of a non-contrast quantitative MRI protocol for portal pressure prediction |
| Chris R Bradley1,2, Eleanor F Cox1,2, and Susan T Francis1,2 | ||
1University of Nottingham, Nottingham, United Kingdom, 2NIHR Biomedical Research Centre, Nottingham, United Kingdom |
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Keywords: Liver, Liver Most complications in liver cirrhosis arise from portal hypertension. Using a vendor-specific fat suppressed spin-echo echo planar imaging T1 mapping method along with measures of flow within the superior mesenteric artery, we previously validated MRI as a surrogate measure of portal pressure at 1.5 and 3T. Here we translate this work to three MR vendors (GE, Philips and Siemens) using commercially available sequences allowing multi-site studies of assessment of portal pressure. Importantly, this could provide a non-invasive measure of portal pressure for clinical use to replace current invasive gold standard measures. |
| 3137 | Computer 82
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Deep learning-based image quality and spatial resolution improvement for Diffusion Weighted Imaging in liver |
| Jihun Kwon1, Kohei Yuda2, Masami Yoneyama1, Yasutomo Katsumata3, and Marc Van Cauteren3 | ||
1Philips Japan, Tokyo, Japan, 2Tokyo Metropolitan Police Hospital, Nakano, Japan, 3Philips Healthcare, Best, Netherlands |
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Keywords: Liver, Diffusion/other diffusion imaging techniques Diffusion-weighted imaging (DWI) in liver plays a significant role for lesion characterization and staging of fibrosis. Single-shot echo-planar imaging (ssh-EPI) readout is typically used; however, spatial resolution of ssh-EPI-DWI is limited by acquisition time. In this study, we investigated the use of prototype AI-based reconstruction technique (SmartSpeed Precise Image) to improve the image quality of liver ssh-EPI-DWI images. The image quality was compared between conventional Compressed-SENSE (C-SENSE), SmartSpeed AI, and SmartSpeed Precise Image. Volunteer data demonstrated a significant improvement of sharpness in DWI images and ADC map, and reduction of ringing artifact compared with C-SENSE and SmartSpeed AI reconstruction. |
| 3138 | Computer 83
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Using 13C MRS to Assess Fasted and Postprandial Glycogen Stores in Healthy Children: A Randomized Controlled Study |
| Stephen Bawden1,2, Astrid Horstman3, Abi Spicer2, Noura Darwish3, Denis Breuille3, Penny Gowland2, Ian Macdonald4, and Liz Simpson4 | ||
1NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, UK, University of Nottingham, Nottingham, United Kingdom, 2Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom, 3Nestle Institute of Health Sciences, Lausanne, Switzerland, 4David Greenfield Human Physiology Unit, MRC/ARUK Centre for Musculoskeletal Ageing Research, University of Nottingham School of Life Sciences, University of Nottingham, Nottingham, United Kingdom |
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Keywords: Liver, Metabolism The aim of this study was to use 13C MRS to compare hepatic glycogen levels before and after an overnight fast and following a small breakfast of varying carbohydrate quantities (0, 15.5 and 31g CHO) in children . Liver glycogen concentration decreased overnight from 378 ± 141 to 277 ± 107 mmol l-1 with a between visit coefficient of variation of 21 ± 15 %. There was also a significant difference in the postprandial AUC (P < 0.005) with a linear CHO ‘dose’ response (R=0.51, P < 0.001). This study expands knowledge of normative glycogen storage in children. |
| 3139 | Computer 84
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Change in ATP flux after propionate ingestion in healthy volunteers Using 31P MRS Saturation Transfer. |
| Abi Spicer1, Stephen Bawden1,2, Penny Anne Gowland1, Susan Francis1, Douglas Morrison3, Guruprasad Aithal4, and Gary Frost5 | ||
1University of Nottingham, Nottingham, United Kingdom, 2NIHR Nottingham Biomedical Research Centre, Nottingham University hospitals NHS trust, Nottingham, United Kingdom, 3Scottish Universities Environmental Research Centre (SUERC), University of Glasgow, Glasgow, United Kingdom, 4Nottingham Biomedical Research Centre NUH, University of Nottingham, Nottingham, United Kingdom, 5Section for Nutrition, Faculty of Medicine, Imperial College London, London, United Kingdom |
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Keywords: Liver, Spectroscopy, Multinuclear Propionate is a short chain fatty-acid absorbed in the colon and metabolised in the liver with some evidence showing that consumption can increase energy homeostasis. Three healthy participants have been studied to date with 31P saturation transfer experiments performed pre and 180 minutes post consumption of an inorganic-propionate ester using 1D-slice-selective-ISIS. The exchange rate constant (k) was calculated to be higher than previous studies despite similar methodologies. Whilst at this time no conclusions can be drawn about the effect of consuming Inorganic Propionate Ester thus far, this study shows the applicability of using 31P saturation transfer in simpler intervention studies. |
| 3140 | Computer 85
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Characterising the effect of free breathing on abdominal MR Spectroscopy and impact on X-nuclei spectra. |
| Abi Spicer1, Stephen Bawden1,2, Zachary Peggs1, Alexander J Daniel1, Andrew Peters1, Susan Francis1, and Penny Anne Gowland1 | ||
1University of Nottingham, Nottingham, United Kingdom, 2NIHR Nottingham Biomedical Research Centre, Nottingham University hospitals NHS trust, Nottingham, United Kingdom |
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Keywords: Liver, Spectroscopy Multinuclear spectroscopy requires the use of free breathing acquisitions to achieve acceptable SNR. Here proton spectroscopy is used as an analogue for multinuclear MRS along with dynamic phase imaging to characterise the effect of respiration. Consistent agreement was seen between the respiratory bellows trace and the timeseries of the water peak frequency and imaging field offset, with overlapping primary frequencies on respective Fourier transforms. On free breathing a maximum frequency shift of 31Hz was measured, this equates to a 0.24ppm shift which could cause significant line broadening in the spectra of multinuclear 31P and 13C liver experiments. |
| 3141 | Computer 86
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Stratification of Liver Histologic Fibrosis using Machine Learning on MRI Radiomic Data and Clinical Features |
| Hailong Li1, Jinzhao Qian1, Ziang Chen1, Wen Pan1, Scott B. Reeder2, David T. Harris2, William R. Masch3, Anum Alsam3, Krishna P. Shanbhogue4, Anas Bernieh1, Sarangarajan Ranganathan1, Nehal A. Parikh1, Jonathan R. Dillman1, and Lili He1 | ||
1Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2University of Wisconsin-Madison, Madison, WI, United States, 3Michigan Medicine, University of Michigan, Ann Arbor, MI, United States, 4NYU Langone Health, New York, NY, United States |
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Keywords: Liver, Liver, Liver fibrosis, biopsy Chronic liver diseases can lead to variable amounts of liver fibrosis, which impacts patient management and outcomes. Percutaneous liver biopsy is the clinical reference standard for assessment of liver fibrosis. However, biopsy is subject to sampling errors and poor patient acceptance. The aim of this study is to develop machine learning models to stratify the severity of biopsy-derived liver fibrosis using MR radiomic data and clinical data. Using clinical, routinely collected MRI and clinical data, our machine learning was able to stratify the severity of liver fibrosis with an AUROC of 0.71, demonstrating the feasibility of the machine learning approaches. |
| 3142 | Computer 87
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Pharmacokinetic Modelling of Gd-EOB-DPTA Uptake: Early Progression of NASH in A Clinically Relevant Cohort, at 1.5 and 3 T |
| Christian Simonsson1,2,3, Nils Dahlström1,3, Markus Karlsson1, Shan Cai1, Simone Ignatova4, Patrik Nasr5, Mattias Ekstedt3,5, Stergios Kechagias3,5, and Peter Lundberg1,3 | ||
1Department of Radiation Physics, Radiology, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden, 2Department of Biomedical Engineering, Linköping University, Linköping, Sweden, 3Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden, 4Department of Clinical Pathology and Clinical Genetics, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden, 5Department of Gastroenterology and Hepatology, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden |
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Keywords: Liver, Contrast Agent, NAFLD,NASH, Gd-DPTA-EOB, Pharmacokinetic Modeling Due to the increased global prevalence of non-alcoholic fatty liver disease (NAFLD), there is a significant need for precise and non-invasive clinical methods to detect early stages of non-alcoholic steatohepatitis (NASH), which can progress to cirrhosis. We investigate the possibility of using the hepatocyte specific contrast agent Gd-EOB-DPTA based DCE-MRI in combination with mathematical modelling to assess hepatobiliary influx, as a possible biomarker for early NASH detection. We show a tentative correlation between increased portal inflammation and decreased hepatic Gd-EOB-DPTA uptake in a cohort of prospectively included patients with suspected chronic liver disease. |
| 3143 | Computer 88
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A statistical analysis of ROI weighting by area for MRE derived liver stiffness measurements |
| Justin Yu1, Alvin C Silva1, Annelise Silva2, Matthew Doan1, and Anshuman Panda1 | ||
1Mayo Clinic Arizona, Phoenix, AZ, United States, 2Wright State University, Fairborn, OH, United States |
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Keywords: Liver, Elastography MR elastography (MRE) derived liver stiffness measurements (LSMs) require manual drawing of ROIs on elastogram images. These ROIs may differ in size, and some clinicians suggest that reporting mean stiffness weighted by ROI area is more accurate than the unweighted mean. In this study the unweighted and weighted mean liver stiffness were calculated for 161 patients undergoing liver MRE exams using various scanning hardware/field strengths, and the statistical significance of the difference between the two sets of LSMs was tested using a paired two-tailed t-test. No statistically significant differences were found between weighted and unweighted LSMs. |
| 3144 | Computer 89
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Diffusion Metrics for Staging Liver Fibrosis: An Experimental Study in Rats with Bile Duct Ligation and Carbon Tetrachloride at 11.7 T MRI |
| yimei Lu1, qianfeng Wang2, and dengbin Wang3 | ||
1Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China, 2Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, shanghai, China, 3Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, shanghai, China |
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Keywords: Liver, Diffusion/other diffusion imaging techniques As a common pathological feature of chronic liver diseases, liver fibrosis is a significant cause of global morbidity and mortality. An accurate assessment of the fibrosis stage and early detection of hepatic fibrosis are essential for preventing further adverse consequences. Our study suggests diffusion metrics are useful tools for noninvasively staging liver fibrosis. Among them, MK is a more valuable imaging biomarker for evaluating the degree of liver fibrosis, and f is less consistent in our two fibrosis models. |
| 3145 | Computer 90
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Assessment of association between body composition contents and liver fibrosis in the patients with sarcopenic obesity |
| Tae-Hoon Kim1, Chang-Won Jeong1, ChungSub Lee1, SiHyeong Noh1, DongWook Lim1, Youe Ree Kim2, and Young Hwan Lee2 | ||
1Medical Convergence Research Center, Wonkwang University, Iksan, Korea, Republic of, 2Radiology, Wonkwang University School of Medicine and Hospital, Iksan, Korea, Republic of |
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Keywords: Liver, Quantitative Imaging Sarcopenic obesity is a disease which associates both sarcopenia and obesity and may trigger worse clinical outcomes including hepatic manifestation of fat accumulation and musculoskeletal disabilities. It is likely that sarcopenia and obesity share common physiological pathways and are interconnected through the muscle-liver-adipose tissue axis. Assessment of muscle mass is a key for the whole-body insulin-mediated glucose metabolism and energy homeostasis. However, it is little known the interconnection between hepatic fibrosis and sarcopenic obesity. This study compared body composition contents in non-obese and sarcopenic obese patients using abdominal MRIs and investigated the relationship between hepatic fibrosis and sarcopenic obesity factors. |
| 3146 | Computer 91
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Evaluating chronic hepatitis B-related liver fibrosis with a continuous-time random-walk diffusion model |
| Jing Zhang1, Zhiyang Lu1, Kaifan Yang1, Liyun Zheng2, Yongming Dai3, and Yikai Xu1 | ||
1Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China, 2Shenzhen United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China, 3MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Liver, Diffusion/other diffusion imaging techniques Early characterization of liver fibrosis has great clinical significance as it allows monitoring of treatment response to antifibrotic agents in patients with chronic liver disease. Most recently, high b-values diffusion-weighted imaging (DWI) based on the continuous-time random-walk (CTRW) model has been introduced. Compared to the healthy control group, the mean D, α, and β values were significantly lower in the hepatic fibrosis group. Spatial diffusion heterogeneity β showed the best diagnostic performance. This non-invasive method has the potential to realize efficient evaluation and improve clinical treatment decision-making. |
| 3147 | Computer 92
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Preliminary Experience of 5.0 Tesla Higher Field Abdominal DWI: Agreement of Apparent Diffusion Coefficient With 3.0 Tesla Imaging |
| Yunfei Zhang1, Yongming Dai2, and Mengsu Zeng3 | ||
1MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China, 3Zhongshan Hospital of Fudan University, Shanghai, China |
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Keywords: New Devices, Diffusion/other diffusion imaging techniques Recently, the 5.0 T whole-body MRI scanner was developed. This study aims to evaluate the feasibility of 5.0 T high field DWI and assess the agreement of the apparent diffusion coefficient (ADC) with that from 3.0 T DWI. The results showed that 5.0 T DWI displayed an increase in subjective image quality score. Both the inter-field and inter-observer agreements of ADC values were substantial to excellent. The substantial to excellent agreements between the ADC values measured with 3.0 T and 5.0 T DWI for liver, pancreas, spleen and kidney suggested that 5.0 T DWI can be applied for abdominal imaging. |
| 3148 | Computer 93
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Deep Learning Reconstruction for Abdomen Diagnosis: Improvement of Diagnostic Performance with higher Spatial or Temporal Resolution |
| Bo-Ting Chen1,2, Cheng-Ya Yeh2, Yi-Chen Chen2, Chia-Wei Li3, Charng-Chyi Shieh3, Chien-Yuan Lin3, and Kao-Lang Liu1,2 | ||
1Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan, 2Department of Medical Imaging, National Taiwan University Cancer Center and National Taiwan University College of Medicine, Taipei, Taiwan, 3GE Healthcare, Taipei, Taiwan |
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Keywords: Liver, Machine Learning/Artificial Intelligence, Deep learning reconstruction, Abdomen diagnosis We have previously validated the SNR improvement of abdominal MRI by Deep Learning Reconstruction (DLRecon). In this study, we further investigate the improvement of image quality and diagnostic performance when trading the SNR with higher spatial and temporal resolution imaging setting. In the result, the clinical scoring of images with high-speed or high-resolution settings in DLRecon was superior to that of the images with conventional setting and reconstruction. |
| 3149 | Computer 94
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Efficacy of Perirenal Fat and Intra-organ Fat in differentiation Metabolic Syndrome from Adults with Overweight and Obesity of Suspected NAFLD |
| Li Wang1, Xinzhong Ruan1, and Mengxiao Liu2 | ||
1Department of Radiology, Ningbo First Hospital, Ningbo, China, 2Siemens healthineers, Shanghai, China |
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Keywords: Liver, Fat This study investigated the fat quantitative Q-DIXON sequence to evaluate intra-organ fat content and visceral adipose tissue (VAT) to find the association with metabolic syndrome (MetS) in adults with overweight and obesity suspected with NAFLD. The results showed that the cut-off level of 9.15mm of perirenal fat thickness (PRFT) and 14.68% of liver fat fraction (LFF) can effectively predict MetS, and the combination of PRFT and LFF predict MetS better. Moreover, ectopic fat levels in pancreas and lumbar spines are positively associated with PRFT. |
| 3150 | Computer 95
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Building a Liver Perfusion Phantom for Vessel Size Imaging |
| Dominick Jon Romano1, Mert Şişman2,3, Qihao Zhang1,3, Thanh Nguyen3, Pascal Spincemaille3, Martin Prince3,4, and Yi Wang1,3 | ||
1Biomedical Engineering, Cornell University, Ithaca, NY, United States, 2Electrical & Computer Engineering, Cornell University, Ithaca, NY, United States, 3Radiology, Weill Cornell Medical College, New York, NY, United States, 4Radiology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, United States |
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Keywords: Liver, Vessels We have developed a methodology of preparing explant livers for perfusion and vessel size imaging. Off-label use of ferumoxytol is known to provide high quality vessel size maps in vivo; however, known adverse reactions to ferumoxytol may hinder adoption into the clinical workflow. In this case, gadolinium may be more attractive. VSI experiments on a gadolinium perfused liver provide a proof of concept that Gadolinium may be used as an alternative contrast for vessel size imaging. |
| 3151 | Computer 96
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The feasibility of fat quantification by MRI-PDFF maps for assessing grading of NAFLD |
| Hongyan Qi1,2, Jianxiu Lian3, Jiang Nan2, Xuan Wang2, and Junqiang Lei2 | ||
1First School of Clinical Medicine ,Lanzhou University, Lanzhou, China, 2Department of Radiology, the First Hospital of Lanzhou University, Lanzhou, China, 3Philips Healthcare, Beijin, China |
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Keywords: Liver, Quantitative Imaging, pdff-mapping Non-alcoholic fatty liver disease (NAFLD) is a serious threat to human health, and the investigation for non-invasive biomarkers to quantify hepatic fat content appears to be crucial. In the study, PDFF was used to quantify liver fat content, assess the grade and degree of hepatic steatosis. PDFF was found to be effective in assessing fat content in NAFLD, which is expected to be used as a biomarker to assess the grading of steatosis in patients with NAFLD. |
| 3152 | Computer 97
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Evaluating Spatial Heterogeneity for Liver PDFF and R2* using Radiomics Features |
| Marjola Thanaj1, Nicolas Basty1, Ramprakash Srinivasan2, Madeleine Cule2, Elena Sorokin2, Jimmy Bell1, Elizabeth Louise Thomas1, and Brandon Witcher1 | ||
1Life Sciences, University of Westminster, London, United Kingdom, 2Calico Life Sciences LLC, South San Francisco, CA, United States |
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Keywords: Liver, Data Analysis, PDFF, R2* MRI measures specific to the liver such as proton density fat fraction (PDFF) and R2* are proven biomarkers for assessing hepatic fat and iron content. There is an interest in using radiomics to extract additional information relating to spatial heterogeneity from images and apply these to clinical data. Here, we extracted radiomics features from liver PDFF and R2* and selected reproducible features and features that provide independent information to that derived from median liver PDFF and R2*. Additionally, we show that most radiomics features are negatively correlated with age and positively correlated with body mass index (BMI). |
| 3153 | Computer 98
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Influence of Different uCS Acceleration Factors on Three-dimensional Magnetic Resonance Cholangiopancreatography Image Quality |
| Chen Lihua1, Song Qingwei1, Nan Wang1, Yongming Dai2, Dan Yu2, Guobin Li2, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2MR Collaboration,Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Liver, MR Value To investigate the effects of different united compressed sensing (uCS) acceleration factors (AFs) on three-dimensional magnetic resonance cholangiopancreatography (3D-MRCP) image quality and to compare the quality with that using conventional parallel imaging (PI). |
| 3154 | Computer 99
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Is Aryl Hydrocarbon Receptor Antagonism after Ischemia Effective in Alleviating Hepatic Ischemia-Reperfusion Injury in Rats? |
| Dong Cheol Woo1, Hwon Heo1, Yeon Ji Chae1, Joongkee Min1, Do-Wan Lee1, Sang Tae Kim1, Monica Young Choi1, Yu Sub Sung1, Kyung Won Kim1, Yoonseok Choi2, and Chul-Woong Woo1 | ||
1Asan Medical Center, Seoul, Korea, Republic of, 2Gangneung Asan Hospital, Gangneung, Korea, Republic of |
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Keywords: Liver, Ischemia, reperfusion, aryl hydrocarbon receptor, L-kynurenine Recent studies suggest that aryl hydrocarbon receptor (AhR) act as an important mediator of ischemic injury in brain. In particular, pharmacological inhibition of AhR activation after ischemia has been shown to attenuate cerebral ischemia-reperfusion (IR) injury. In this study, we investigated whether AhR antagonist administration after ischemia was also effective in ameliorating hepatic IR injury. Our results indicate that treatment with the AhR antagonist after ischemia alleviate liver damage, as evidenced by serum ALT and AST levels, MRI-based liver function indices, and histologic and molecular analysis. Thus, adequate AhR antagonist activity is a potential therapeutic approach for hepatic IR injury. |
| 3155 | Computer 100
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Optimal flip angle and delay time of Gd-BOPTA-enhanced MRI in the normal liver and biliary imaging |
| Xue Ren1, Ying Zhao1, Qingwei Song1, Geli Hu2, Jiazheng Wang2, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Clinical and Technical Support, Philips Healthcare, Beijing, China |
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Keywords: Liver, Liver Gadobenate dimeglumine (Gd-BOPTA) is a novel contrast agent for hepatobiliary specific magnetic resonance imaging.At present, there is no exact and recognized turning Angle and delay time for Gd-BOPTA enhanced MRI scanning, and no relevant research reports have been reported at home and abroad. This study intends to analyze the image quality of the liver and biliary system in the hepatobiliary stage of Gd-BOPTA enhanced MRI by using the combination of different rotation angles and delay time. |
| 3253 | Computer 21
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Diagnostic ability of APT in differentiating ovarian high-grade serous carcinomas from borderline serous tumors |
| Jiacheng Song1, Aining Zhang1, Xiance Zhao2, Yishi Wang3, Zhiwei Shen3, and Ting Chen1 | ||
1the first affiliated hospital of Nanjing Medical University, Nanjing, China, 2Philips Healthcare, Shanghai, China, 3Philips Healthcare, Beijing, China |
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Keywords: Urogenital, CEST & MT The precise assessment of ovarian tumor, which is complex in presentation and classification, is important for clinical decision making. The value of amide proton transfer weighted (APTw) imaging in the assessment of ovarian lesion has not been comprehensively researched. In this study, we investigated the value of APTw imaging in differentiating ovarian high-grade serous carcinomas from borderline serous tumors. It was found that APT value of high-grade tumor was significantly lower than that of borderline tumor. Our finding indicates the potential of using APTw imaging as a novel method for the differentiation diagnosis of ovarian cancers. |
| 3254 | Computer 22
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Multiparametric MRI-based Radiomics for Preoperative Prediction of Multiple Biological Characteristics in Endometrial Cancer |
| Ma Changjun1, Song Qingling1, Tia Shifeng1, Chen Lihua2, Wang Nan2, Lin Liangjie3, Wang Jiazheng3, and Liu Ailian2 | ||
1Department of Radiology,, The First Affiliated Hospital of Dalian Medical University, Dalian, China, China, 2Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China, China, 3Clinical & Technical Support, Philips Healthcare, Beijing, China, China |
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Keywords: Pelvis, Uterus Different biological characteristics of endometrial cancer (EC) may lead to different treatment efficacies and prognoses, so stratification of biological characteristics in EC is important for treatment planning. |
| 3255 | Computer 23
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Quantitative MRI of DCE andIVIM for differentiating low-risk from non-low-risk early-stage endometrial carcinoma |
| Hongxia Wang1, Ruifang Yan1, Beiran Wang1, Zhong Li1, Xingxing Jin1, Zhenfang Guo2, Wangyi Liu1, Kaiyu Wang3, Jinxia Guo3, and Dongming Han1 | ||
1Department of MR, the First Affiliated Hospital, Xinxiang Medical University, Weihui, China, 2Department of Neurology, the First Affiliated Hospital, Xinxiang Medical University, Weihui, China, 3MR Research China, GE Healthcare, Beijing, China |
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Keywords: Pelvis, Cancer Finding a noninvasive and effective means for the risk stratification of early-stage EC is of great benefit to patients. This study aim to investigate the value of dynamic contrast-enhanced MRI (DCE-MRI) and intravoxel incoherent motion (IVIM) in differentiating low-risk from non-low-risk early-stage endometrial carcinoma (EC). Results showed that both DCE-MRI and IVIM facilitate the preoperative identification of low-risk and non-low-risk early-stage EC. Compared with each single parameter, the combination of Ktrans, Ve, and f provided better predictive power and may serve as a superior imaging marker. |
| 3256 | Computer 24
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Amide proton transfer weighted and diffusion kurtosis imaging in evaluating lymphovascular space invasion of endometrial carcinoma |
| Xie Zongyuan1, Tian Shifeng1, and Liu Ailian1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Uterus, Cancer Lymphovascular space invasion(LVSI）is one of the important factors for poor prognosis of endometrial carcinoma（EC）.Quantitative parameters of amide proton transfer weighted（APTw）and diffusion kurtosis imaging（DKI） is a novel MRI tool to evaluating LVSI in EC. The APT and MK values of EC with LVSI were higher than those without LVSI.The AUC after combination was higher than that of MK alone.Both APTw and DKI can effectively evaluate EC LVSI.APTw combined DKI application can improve the evaluation efficiency . |
| 3257 | Computer 25
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Quantitative assessment of HIF-1a expression in endometrial cancer by DCE-MRI combined ESWAN multiparameter imaging |
| Xie Zongyuan1, Tian Shifeng1, and Liu Ailian1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Uterus, Cancer Hypoxia -inducible factor (HIF-1α) is a major transcriptional factor regulating gene expression under hypoxic conditions. High expression of HIF-1α contributes to high aggressiveness or poor prognosis of cervical carcinoma. Multimodal MRI techniques DCE-MRI and ESWAN are new tools to determine the expression of HIF-1α.Its quantitative parameters Ktrans , Kep R2 * and T2* values were correlated with HIF-1a expression . Therefore,both DCE-MRI and ESWAN techniques can effectively evaluate HIF-1a expression in endometrial cance. |
| 3258 | Computer 26
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Evaluation of lymphovascular space invasion in endometrial carcinoma by APTw and mDIXON-Quant |
| Xie Zongyuan1, Tian Shifeng1, and Liu Ailian1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Uterus, Cancer Lymphovascular space invasion(LVSI）is one of the important factors for poor prognosis of endometrial carcinoma（EC）.Quantitative parameters of amide proton transfer weighted（APTw）and Modified Dixon quantification of fat（mDIXON-Quant） is a novel MRI tool to evaluating LVSI in EC. The APT and R2* values of LVSI(+)EC were higher than those of LVSI(-)EC.APT value was moderately positively correlated with R2* value, and APT value was weakly positively correlated with FF value . Both APTw and Mdixon-Quant techniques can effectively evaluate EC LVSI, and their combined application can improve the evaluation efficiency. |
| 3259 | Computer 27
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Feasibility of synthetic diffusion weighted images using computed with 5b protocol in uterine tumors |
| Qian Tang1, Weiyin Vivian Liu2, Qiqi Zhou3, Wen Chen3, Ling Sang3, and Lin Xu3 | ||
1Department of Biomedical Engineering, Hubei University of Medicine, Hubei, China, 2GE Healthcare, Beijing, China, 3Department of Radiology,Taihe Hospital, Hubei University of Medicine, Hubei, China |
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Keywords: Pelvis, Cancer High-b-value DWI has been widely applied in clinical practices, but it is challenging to acquire several high b-value images for long acquisition time and more eddy distortion as b-value increases, leading to patient discomfort, increased motion artifacts and decreased SNR. High-b-value SyDWIs showed better SNR and less image distortion than scanned high-b-value DWIs. Our study demonstrate the feasibility of 5b-value synthetic high-b-value reduced full-of-view diffusion weighted imaging with the pros of short scan time, better lesion clarity and higher image quality in comparison of 13b-protocol rFOV-syDWIs and 5b-protocol synthetic ADCmean and ADCminimum offered reliably diagnostic value compared to 13b-protocol ones. |
| 3260 | Computer 28
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Diffusion kurtosis imaging with multiple quantitative parameters for predicting microsatellite instability status of endometrial carcinoma |
| Qingling Song1, Wan Dong2, Shifeng Tian3, Lihua Chen3, and Ailian Liu3 | ||
1Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Radiology, Wuhan children's Hospital, Tongji Medical College of Huazhong University of Science & Technology, Wuhan, China, 3Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Pelvis, Cancer Microsatellite instability (MSI), which results from the failure of mismatch repair (MMR) proteins to fix a DNA replication error, causes insertions, mismatches, or deletions during the DNA replication process, thus having an essential role in maintaining the stability of the genome and regulating gene expression |
| 3261 | Computer 29
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Application of diffusion imaging and dynamic contrast-enhanced MRI in evaluating the proliferation status of endometrial carcinoma |
| Xuejia Wang1, Wangyi Liu 1, Gaiyun Zhang1, Ruifang Yan1, Jie Shang1, Kaiyu Wang2, Jinxia Guo2, and Dongming Han1 | ||
1Department of MR, the First Affiliated Hospital, Xinxiang Medical University, Weihui, China, 2MR Research China, GE Healthcare, Beijing, China |
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Keywords: Pelvis, Cancer Intravoxel incoherent motion (IVIM) is able to reflect the true diffusion, microcirculatory perfusion, average diffusion, and structural complexity in tissues. Dynamic contrast-enhanced MRI (DCE-MRI) can be used to analyze the dynamic distribution of contrast agents through the pharmacokinetic model to quantitatively detect the blood supply of biological tissues. Our results showed that IVIM and DCE-MRI-derived parameters such as D, α, Ktrans, and Kep were associated with Ki-67 status in EC, and the combination of D and Kep may serve as a superior imaging marker for the identification of low-proliferation and high-proliferation EC. |
| 3262 | Computer 30
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The value of multimodal functional magnetic resonance imaging in differentiating p53abn from p53wt endometrial carcinoma |
| Xie Zongyuan1, Tian Shifeng1, and Liu Ailian1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Cancer, Uterus p53 genotyping is important for EC lymph node metastasis and prognosis determination.Multimodal MRI techniques APTw, T2 mapping, mDIXON-Quant and DWI are new tools to determine p53 genotyping.Results of this study indicate the APT value and R2* value in the p53abn group were higher than those in the p53wt group, while the ADC value was lower than those in the p53wt group.Therefore, APTw, mDIXON-Quant and DWI techniques can quantitatively identify p53abn and p53wt EC, it provides a new way for preoperative quantitative evaluation of EC molecular typing. |
| 3263 | Computer 31
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Diagnostic performance of synthetic MRI and reduced filed-of-view DWI-based IVIM on cervical intraepithelial neoplasis |
| Qian Tang1, Weiyin Vivian Liu2, Qiqi Zhou3, Wen Chen3, and Lin Xu3 | ||
1Department of Biomedical Engineering, Hubei University of Medicine, Hubei, China, 2GE Healthcare, Beijing, China, 3Department of Radiology,Taihe Hospital, Hubei University of Medicine, Hubei, China |
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Keywords: Uterus, Cancer CIN III is currently reckoned as a high-risk precancerous lesion for highly-possible transformation into cervical cancers. To improve low diagnostic efficiency of traditional MRI on precancerous CIN III for its subtle changes at the cellular level, this study built a combination model with MAGiC and IVIM derived parameters. In particular, a combined model with T2 and f values showed good performance on differentiation CIN III from cervical cancer with the sensitivity, specificity and AUC of 0.0.968, 0.839, 956, and it indeed elevated diagnostic performance especially specificity. In our study, alteration of heterogeneity at the cellular level was suspected to occur as cervix gradually progresses to CIN III stage despite no obvious morphological changes on structural images. |
| 3264 | Computer 32
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The value of APT combined with squamous cell carcinoma antigen in predicting parametrial invasion of stage IA to IIB cervical cancer |
| Mengdi Zhang1, Qinghe Han1, Qinghai Yuan1, Rui Ma1, and Jianxiu Lian2 | ||
1The Second Hospital of Jilin University, Jilin, China, 2Philips Healthcare, Beijing, China |
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Keywords: Uterus, Cancer, parametrial invasion、squamous cell carcinoma antigen Cervical cancer is one of the most common gynecological malignancies. The accurate diagnosis of cervical cancer is of great significance for the selection of treatment plan. This study is to explore the diagnostic value of the new magnetic resonance technology of amide proton transfer-weighted(APTw) imaging combined with squamous cell carcinoma antigen (SCCA) for parametrial invasion(PMI).The results showed amide proton transfer-weighted(APTw) imaging could provide more valuable for diagnosis efficiency, which maybe an invasive alternative method for evaluating parametrial invasion. |
| 3265 | Computer 33
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The value of amide proton transfer and glucose-chemical exchange saturation transfer in predicting tumor grading and staging in cervical cancer |
| Han Jiang1, Nan Meng2, Ziqiang Li1, Bo Dai2, Pengyang Feng3, Yu Luo2, Zhiwei Shen4, and Meiyun Wang*2 | ||
1Department of Medical Imaging, Xinxiang Medical University & Henan Provincial People's Hospital, Zhengzhou, China, 2Department of Medical Imaging, Zhengzhou University People's Hospital & Henan Province People's Hospital, Zhengzhou, China, 3Department of Medical Imaging, Henan University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 4Philips healthcare, Beijing, China |
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Keywords: Pelvis, CEST & MT, cervical cancer What are the values of three-dimensional amide proton transfer (APT) imaging and glucose-chemical exchange saturation transfer (glucoCEST) in WHO grading and staging of cervical cancer? We performed 3D-APT, 3D-glucoCEST, and DWI scans in 19 cervical cancer cases. APT signal intensity（SI）, and GlucoCEST SI could distinguish high-grade from low-grade; GlucoCEST SI can differentiate early (<IIB) from advanced (≥IIB) cervical cancer. Both APT and glucoCEST can be used for the preliminary evaluation of cervical cancer, but glucose CEST has advantages in the evaluation of cervical cancer grading and staging. |
| 3266 | Computer 34
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Multi-exponential model of diffusion signal with fixed ADCs in healthy and cancerous cervix tissues |
| Ana E Rodríguez-Soto1, Elin M Lundström1,2,3, Alexandra Besser1, Stephane Loubrie1, Christopher C Conlin1, Stephan Jordan1, Summer Batasin1, Sheida Ebrahimi1, Alexandra Schlein1, Michael Hahn1, Tyler Seibert4, Anders M Dale1,5, Marianne Tom-Hedla6, Cheryl Saenz6, Shira Varon6, Michael McHale6, and Rebecca Rakow-Penner1 | ||
1Radiology, University of California San Diego, La Jolla, CA, United States, 2Surgical Sciences, Uppsala University, Uppsala, Sweden, 3Radiology, Uppsala University, Uppsala, Sweden, 4Radiation Medicine, University of California San Diego, La Jolla, CA, United States, 5Neurosciences, University of California San Diego, La Jolla, CA, United States, 6Ob/Gyn & Reproductive Sciences, University of California San Diego, La Jolla, CA, United States |
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Keywords: Pelvis, Cancer Restriction spectrum imaging (RSI) has shown potential to become a DWI-based, contrast-free diagnostic tool for cancer as it separates the different water pools in tissues. Here, we describe the diffusion signal of cancerous and healthy cervical tissues using RSI. Multi-exponential models with fixed ADCs were determined and the signal contribution of each component estimated. Initial results indicate that the slowest diffusion compartment of a tetra-exponential RSI model has the potential to isolate cervical cancer signal from that of surrounding tissues. This model may increase the sensitivity and specificity of DWI to evaluate response to treatment of cervical cancer patients. |
| 3267 | Computer 35
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An optimal multiple b-value scheme for applications in female cervical cancer |
| Qian Tang1, Weiyin Vivian Liu2, Qiqi Zhou3, Wen Chen3, Ling Sang3, and Lin Xu3 | ||
1Department of Biomedical Engineering, Hubei University of Medicine, Hubei, China, 2GE Healthcare, Beijing, China, 3Department of Radiology,Taihe Hospital, Hubei University of Medicine, Hubei, China |
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Keywords: Uterus, Cancer Incoherent motion in voxel (IVIM) imaging is widely utilized in grading tumor, cancer, treatment efficacy and prognosis. It is believed utility of at least 8 b-values image sets brings a more stable and accurate results. However, long acquisition time hamper clinical applications. High consistent diagnostic performance of manual ROI-based IVIM-derived measurements including ADC, D, D* and f on distinguishing patients with cervical cancer from healthy controls was found between 5b-value and 13b-value IVIM imaging protocol and no significant difference of all four values was found. We proposed a IVIM diffusion weighted imaging with a 5b-value protocol in cervical cancer. |
| 3268 | Computer 36
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Multicenter consistency of quantitative MRI in cervical cancer |
| Petra J van Houdt1, Abel Bregman1, Kari Tanderup2, Robert Hudej3, Marko Zaletelj3, Barbara Šegedin3,4, Eva E Schaake1, Ellen M Kerkhof5, Laura A Velema5, Remi A Nout6, and Uulke A van der Heide1 | ||
1Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands, 2Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark, 3Radiotherapy, Institute of Oncology Ljubljana, Ljubljana, Slovenia, 4Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia, 5Radiotherapy, Leiden University Medical Center, Leiden, Netherlands, 6Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, Netherlands |
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Keywords: Cancer, Quantitative Imaging, cervical cancer The reproducibility of quantitative MRI parameters in a multicenter setting is not trivial. In this study we evaluated the in-vivo multicenter consistency of quantitative MRI parameters in cervical cancer patients. DWI, T2 mapping and T1 mapping were available from 66 patients from 3 institutes. ADC values were measured consistently across institutes despite differences in acquisition protocols. For T2 and T1 values differences between institutes were observed, which need to be accounted in future evaluation of the quantitative MRI parameters in relation to treatment outcome. |
| 3269 | Computer 37
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Amide Proton Transfer Weighted Combined with Diffusion Kurtosis Imaging for Predicting Lymph Node Metastasis in Cervical Cancer |
| Yue Wang1, Shifeng Tian1, and Ailian Liu1 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Pelvis, Cancer Cervical cancer (CC) is one of the most common gynecological malignancies worldwide, and its incidence is gradually increasing. Acurate identification of lymph node metastases (LNM) is crucial for predicting prognosis and choosing the best available treatment. Amide proton transfer weighted (APTw) imaging can detect the chemical exchange rate of between water and endogenous mobile proteins, peptides or polypeptides[1]. Diffusion kurtosis imaging (DKI) can reflect the limited diffusion movement of water molecules in tissue and the complexity of tissue microstructure [2]. This study is aimed to investigate the quantitative prediction of LNM in CC by APTw combined with DKI. |
| 3270 | Computer 38
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The Value of dynamic contrast-enhanced MRI in differential diagnosis of solid ovarian tumors with diffusion restriction |
| Ying Meng1, Yuting Liang1, Xinlian Wang1, Keyang Wang1, and Lizhi Xie2 | ||
1Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China, 2GE healthcare, Beijing, Beijing, China |
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Keywords: Pelvis, Pelvis DWI can differentiate benign and malignant lesions by reflecting the diffusion of water molecules in lesions, which has become a routine sequence of MRI examination of gynecological tumors. Generally, DWI signal is high, which will alert to the possibility of malignancy, while benign tumors also show high DWI signal. For solid ovarian tumors with high signal intensity on DWI, the differential diagnosis of ovarian tumors is still a difficult point in routine MRI sequence diagnosis. The results of this study showed that DCE-MRI quantitative parameters of solid ovarian masses were helpful for differential diagnosis of benign and malignant. |
| 3271 | Computer 39
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Imaging female pelvic anatomy with a portable, low field Magnetic Resonance Imager. |
| Sourajit Mitra Mustafi1, Meredith Sadinski1, Muller Gomes1, Alexander Nacev1, Hugo Davila2, and Srirama S Venkataram1 | ||
1Promaxo, Oakland, CA, United States, 2Cleveland Clinic Indian River Hospital, Vero Beach, FL, United States |
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Keywords: Pelvis, Body, Pelvic Imaging, Low field MRI Promaxo's single sided, low-field MRI is used for female pelvic imaging. Five healthy female subjects were scanned. The butterfly shape of vagina and normal anatomy of the puborectails regions were observed. Delineation between puborectails and pubococcygneus muscles are clearly seen. MRI’s improved soft tissue contrast provides better visualization of anatomical regions and is less invasive than transvaginal ultrasound. |
| 3448 | Computer 41
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A Multicenter Study of Cervical Cancer using Dynamic Contrast-Enhanced MRI: Are Measurements of Quantitative Imaging Reproducible in Clinic? |
| Xue Wang1, Shujian Li2, Zhijun Ye3, Tang-San Koh4, Zujun Hou5, Zhihan Yan1, and Lu Han6 | ||
1The Second Affiliated Hospital and Yuying Children′s Hospital of Wenzhou Medical University, Wenzhou, China, 2The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 3The Second Affiliated Hospital of Sichuan University, Chengdu, China, 4National Cancer Center, Singapore, Singapore, Singapore, 5Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China, 6Philips Healthcare, Shanghai, Shanghai, China |
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Keywords: Uterus, Reproductive, Dynamic Contrast-Enhanced Imaging By comparing the distributions of measured DCE kinetic parameters in cervical cancer tissue by three MRI scanners in different clinical centers. It was demonstrated that (i) Each of the three scanners consistently showed similar findings on the characterization of cervical cancer microenvironment. (ii) The difference in MRI3 stemmed from keyhole imaging in the DCE protocol which could lead to underestimation of concentration of contrast media in viable tumor region. (iii) The close distribution between MRI1 and MRI2 indicated that consistent DCE quantitative metrics could be attained in scanners from different vendors if imaging protocol and data postprocessing could be standardized. |
| 3449 | Computer 42
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Less-distorted cervical ADC maps improved subjective diagnosis efficacy on cervical cancer and reliability of measurements |
| liu hui1, liu wei yin2, and ou xiao rong1 | ||
1xiangya hospital, changsha, China, 2GE, taiwan, China |
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Keywords: Pelvis, Cancer, DWI Differentiation of patients with IB-IIA from those with IIB-IIC assist track treatment selection for cervical cancer. A diffusion-weighted imaging (DWI) sequence based on field-of-view optimized and constrained undistorted single shot (FOCUS) combined with multiplexed sensitivity-encoding (MUSE) technique (named FOCUS-MUSE DWI) was used in our study to explore the differentiation performance on stages of cervical cancer. We found the reliability of apparent diffusion coefficient (ADC) for FOCUS MUSE-DWI is the highest among single-shot DWI (ss-DWI), FOCUS-DWI and MUSE-DWI, and better image quality, SNR, and CNR than the former two. There was no significant difference of ADC values for four DWI sequence between IB-IIA group and IIB-IIIC, but ADC values were consistent with previous studies. |
| 3450 | Computer 43
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iZoom applying tilted 2D Echo-Planar RF excitation improved the image quality of reduced FOV DWI for uterine cervical cancer: a preliminary study |
| Akiyo Takada1, Hajime Yokota2, Ryuna Kurosawa1, Takayuki Sada1, Koji Matsumoto1, Namiki Takashi3, Masami Yoneyama3, Adam Wu4, and Takashi Uno2 | ||
1Department of Radiology, Chiba University, Chiba-shi, Japan, 2Department of Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba-shi, Japan, 3Philips Japan, Tokyo, Japan, 4Philips Healthcare (Shanghai) Ltd., Shanghai, China |
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Keywords: Uterus, Diffusion/other diffusion imaging techniques, uterine cervical cancer Reduced field-of-view (rFOV) DWI is the essential sequence for the diagnosis and staging of uterine cervical cancer (CC). We compared the image quality of rFOV DWI taken with iZoom, which applies tilted 2D Echo-Planar RF excitation, and that of conventional Zoom combined with Reconstruction with Image-space Sampling (Zoom-IRIS) for CC patients. Reduced FOV DWI with iZoom showed higher image quality than Zoom-IRIS both in quantitative and qualitative evaluation. Anatomical details display and lesion conspicuity were mainly improved in quantitative evaluation. iZoom can be helpful for the diagnosis and staging of CC. |
| 3451 | Computer 44
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Feasibility of Accelerated T2 Mapping for the Quantitative and Qualitative Assessment of Endometrial Carcinoma |
| Zanxia Zhang1 and Shujian Li1 | ||
1The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China |
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Keywords: Uterus, Uterus The objectives of this study were to investigate the feasibility of accelerated T2 mapping in the clinical diagnosis of the pathologic subtypes and histologic grades of endometrial carcinoma (EMC), and to compare synthetic T2-weighted and diffusion-weighted (sT2W/DW) images to conventional T2W and diffusion-weighted (cT2W/DW) images for the myometrial invasion depth. 56 EMC patients underwent T2mapping and DW. Distinct T2 values were obtained for the various pathologic and histologic grades of EMC. Furthermore, pathologic EA grading was more accurate with the T2 values than ADC values. Additionally, in terms of detecting deep myometrial invasion, sT2W/DW showed similar accuracy to cT2W/DW. |
| 3452 | Computer 45
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Preliminary Application performance of synthetic MRI quantitative imaging in stage I endometrial cancer |
| Yin YunJuan1, Chen Sujing1, Chang Jun1, Guan Rongping1, Ge Yuxi1, Pylypenko Dmytro2, and hu Shudong1 | ||
1Medical Imaging, Affiliated Hospital of Jiangnan University, Wuxi, China, 2GE Healthcare, Beijing, China |
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Keywords: Pelvis, Cancer The purpose of this study was to investigate the feasibility of using synthetic MRI to identify and differentiate stage I endometrial cancer. A total of 51 patients with endometrial carcinoma were recruited. Quantitative MRI, including T1, T2 and PD mapping were used. The endometrial carcinoma had significantly different T1, T2 and PD values compared to normal uterus tissue, therefore quantitative MRI is an effective method for detection of endometrial cancer. There was no statistical difference of synthetic MRI in differentiation grades or risk stratification, which needs to be further verified. |
| 3453 | Computer 46
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The application of R2 star map of enhanced T2 star weighted angiography (ESWAN) in diagnosis of ovarian cancer |
| Qingling Song1, Ye Li1, and Ailian Liu1 | ||
1Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Pelvis, Cancer Ovarian cancer is the leading cause of death of gynecological malignant tumors, however, most of BEOTs can be completely cured. The treatment and prognosis of ovarian cancer and BEOTs are very different, so it is very important to accurately distinguish ovarian cancer from BEOTs |
| 3454 | Computer 47
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The diagnostic value of synthetic MRI in ovarian epithelial cell neoplasms and its correlation with Ki-67 expression: a preliminary study |
| Lingjie Zhang1, Meiying Cheng1, Teng Pan2, Kaiyu Wang3, Shifang Tan1, Lin Lu1, Junjie Liao1, and Xin Zhao1 | ||
1Department of Radiology, the third affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Office of Scientific Research, the third affiliated Hospital of Zhengzhou University, Zhengzhou, China, 3MR Research China, GE Healthcare, Beijing, China |
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Keywords: Pelvis, Quantitative Imaging This study aimed to evaluate the diagnostic value of synthetic MRI in ovarian epithelial cell neoplasms and to explore the correlation between the quantitative parameters like T1, T2, and proton density derived from synthetic MRI and Ki-67 expression. Our preliminary study shows that the values of these quantitative parameters were significantly lower in the malignant group than in the benign group, and the parameters were negatively correlated with Ki-67 expression, which can indirectly reflect the degree of tumor invasion. |
| 3455 | Computer 48
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Diagnostic Value of Ultrafast Dynamic Contrast-Enhanced MRI in Assessing the Status of Axillary Lymph Node Metastasis in Breast cancer |
| Lincheng He1, Ping Yan1, Wenhong Liu1, Weijia Song1, Huiting Zhang2, Robert Grimm3, Hong Zhou1, and Guanghua Luo1 | ||
1The First Affiliated Hospital, Hengyang Medical School, University of South China, HengYang, China, 2MR Scientific Marketing, Siemens Healthineers Ltd, Wuhan, China, 3MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: Breast, Cancer This study investigated the feasibility of ultra-fast DCE-MRI in accurately assessing axillary lymph node (ALN) metastasis in breast cancer. Our results showed that maximum slope (MS) accurately estimated the axillary lymph node status using the early-stage data of ultra-fast DCE-MRI. Furthermore, larger size (≥10mm diameter) of ALN and absence of hilum in the ultrafast DCE-MRI was associated with ALN metastasis in breast cancer patients. Our study demonstrated that MS from ultrafast breast MRI is a potential imaging biomarker of ALN metastasis in breast cancer. |
| 3456 | Computer 49
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Peri-tumoural lipid composition mapping of the breast for early response to neoadjuvant chemotherapy using chemical shift-encoded imaging |
| Sai Man Cheung1, Kwok-Shing Chan2, Nicholas Senn1, Ravi Sharma3, Trevor McGoldrick3, Tanja Gagliardi1,4, Ehab Husain5, Yazan Masannat6, and Jiabao He1,7 | ||
1Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom, 2Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands, 3Department of Oncology, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 4Department of Radiology, Royal Marsden Hospital, London, United Kingdom, 5Department of Pathology, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 6Breast Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 7Translational and Clinical Research Institute, Newcastle University, Aberdeen, United Kingdom |
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Keywords: Breast, Fat Peri-tumoural lipid composition plays a major role in the disease progression of breast cancer, and novel chemical shift-encoded imaging (CSEI) allows rapid lipid mapping of the whole breast. We have previously observed an imbalance of peri-tumoural lipid composition in postmenopausal women with breast cancer using CSEI. Monitoring of lipid composition for early sign of tumour regression might be crucial for an accurate differentiation of patients responding to neoadjuvant chemotherapy (NACT). We hence set out to elucidate the longitudinal change in lipid composition in the peri-tumoural region and the whole breast in patients with breast cancer using CSEI. |
| 3457 | Computer 50
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Comparison of diffusion-weighted imaging ADC metrics for early prediction of neoadjuvant treatment response in HER2-negative breast cancer |
| Judith Zimmermann1, Julia Carmona-Bozo1, Nu N Le1, Natsuko Onishi1, Lisa J Wilmes1, Jessica Gibbs1, Jiachao Liang1, David C Newitt1, Savannah C Partridge2, Patrick J Bolan3, John Kornak4, Elissa Price1, Bonnie N Joe1, Barbara LeStage5, I-SPY 2 Investigator Network6, I-SPY 2 Imaging Working Group1, Wen Li1, and Nola Hylton1 | ||
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Radiology, University of Washington, Seattle, WA, United States, 3Radiology, University of Minnesota, Minneapolis, MN, United States, 4Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States, 5I-SPY 2 Advocacy Group, San Francisco, CA, United States, 6Quantum Leap Healthcare, San Francisco, CA, United States |
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Keywords: Breast, Diffusion/other diffusion imaging techniques, treatment response prediction, biomarkers, neoadjuvant chemotherapy In breast imaging, diffusion-based (DW) MRI delivers complementary quantitative value to conventional dynamic contrast enhanced MRI. ADC maps of tumor tissue calculated from DW-MRI, specifically mean ADC of the tumor region of interest, have shown promise for measuring early response to neoadjuvant chemotherapy (NAC). However, depending on intra-tumoral heterogeneity, other histogram-based ADC metrics may provide even better predictive performance than mean ADC, but are yet to be studied thoroughly. Here, we investigated nine ADC-based metrics regarding their predictive performance for NAC treatment response. |
| 3458 | Computer 51
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Breast MRI during neoadjuvant endocrine therapy for patients with estrogen-receptor positive/HER2 negative breast cancer |
| Natsuko Onishi1, Jessica E Gibbs1, Ella F Jones1, Teffany Joy Bareng1, Jiachao Liang1, Julia Carmona-Bozo1, Wen Li1, David C Newitt1, Kimberly M Ray1, Courtney Lawhn Heath1, Rita Mukhtar2, Bonnie N Joe1, the I-SPY 2 Investigator Network3, the I-SPY 2 Imaging Working Group1, Laura J Esserman 2, A. Jo Chien4, and Nola M Hylton1 | ||
1Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Department of Surgery, University of California, San Francisco, San Francisco, CA, United States, 3Quantum Leap Healthcare Collaborative, San Francisco, CA, United States, 4Department of Medicine, University of California, San Francisco, San Francisco, CA, United States |
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Keywords: Breast, Cancer This study aimed to investigate the longitudinal changes in functional tumor volume (FTV) and background parenchymal enhancement (BPE) derived from dynamic contrast-enhanced breast MRI during neoadjuvant endocrine therapy (NET). For comparison, we also evaluated a similar cohort of patients who received standard neoadjuvant chemotherapy (NAC). Similar to the NAC cohort, the NET cohort showed early changes in FTV and BPE as early as three weeks of treatment. In the NET cohort, early BPE decrease was prominent especially for patients with higher baseline BPE and premenopausal patients. These finding illustrate the potential of MRI metrics as early imaging biomarkers for NET. |
| 3459 | Computer 52
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MRI-based tumor shrinkage patterns after early neoadjuvant therapy in breast cancer: Correlation with subtypes and pathological response |
| Mengfan Wang1, Siyao Du1, Lizhi Xie2, Min Zhao2, and Lina Zhang1 | ||
1The First Hospital of China Medical University, Shenyang, China, 2GE Healthcare, Beijing, China |
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Keywords: Breast, Cancer, breast cancer, neoadjuvant chemotherapy We analyzed the correlation between MRI-based tumor shrinkage patterns after the early stage (first and second cycles) of NAC and pathological response in different subtypes. Fragmentation and diffuse decrease are collectively referred to as non-CS. We found that non-CS could be observed in some patients after the early stage of NAC, and non-CS and pCR were significantly correlated in HR+/HER2 subtypes after the first cycle of NAC. |
| 3460 | Computer 53
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Early parenchymal changes on MRI and fluoroestradiol db-PET during neoadjuvant endocrine therapy in patients with ER +/HER2- breast cancer |
| Julia Carlota Carmona1, Natsuko Onishi2, Jiachao Liang2, Jessica Gibbs2, Ella Jones3, Teffany Joy Bareng2, Wen Li2, David Newitt2, Kim Ray2, Courtney Lawhn1, Bonnie Joe2, Rita Mukhtar2, I-SPY 2 Network2, ISPY 2 Imaging Working group2, Laura Esserman2, Jo Chien2, and Nola Hylton2 | ||
1Radiology, UCSF, San Francisco, CA, United States, 2UCSF, San Francisco, CA, United States, 3NIH, San Francisco, CA, United States |
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Keywords: Breast, Cancer, MRI, fluoroestradiol, PET, endocrine, therapy The aim of our study was to assess early parenchymal changes during neoadjuvant endocrine therapy (NET) using both DCE-MRI and dedicated breast PET with [18F]-fluoroestradiol (FES-dbPET). We investigated background parenchymal enhancement (BPE) on MRI and background parenchymal uptake on FES-dbPET for seventeen patients with ER+/HER2- breast cancers. Statistically significant decrease in BPE was shown after 3 weeks of NET. Estimated SUVs (mean, max and peak) were lower after 3 weeks of NET, although the difference did not reach statistical significance. Our results illustrate the potential of DCE-MRI and FES-dbPET to detect early change in breast parenchyma during NET. |
| 3461 | Computer 54
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Performance benchmark metrics and clinicopathologic outcomes of MRI-guided breast biopsies: a systematic review and meta-analysis |
| Berat Bersu Ozcan1, Justin Yan1,2, Yin Xi1, Serine Baydoun3, Marion E. Scoggins4, and Basak E. Dogan1 | ||
1Radiology, University of Texas Southwestern, Dallas, TX, United States, 2Radiology, HCA Houston Healthcare Kingwood, Houston, TX, United States, 3Radiology, Cleveland Clinic Foundation, Cleveland, OH, United States, 4Radiology, University of Texas MD Anderson Cancer Center, Houston, TX, United States |
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Keywords: Breast, Breast, MRI-guided breast biopsy MRI-guided breast biopsy (MRBB) methods and clinicopathological outcomes may vary between institutions. To identify benchmark metrics to help define a successful MRBB program, we identified and systematically reviewed articles on MRBB outcomes through 04.01.2021. Random intercept logistic regression model was used to pool the data. We found that MRBB is an efficient, highly accurate technique with high technical success (99.05%, 95%CI:97.75%-99.60%), low false-negative (0.65%, 95%CI:0.29%-1.44%), and complication (2.45%, 95%CI:2.13%-2.81%) rates. Our findings can assist the development of evidence-based clinical guidelines on follow-up recommendations in benign-concordant lesions and a transparent discussion with patients on the consequences of having an MRBB. |
| 3462 | Computer 55
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Feasibility of 3D Quantitative Synthetic MRI for Discriminating Immunohistochemical Status in Invasive Ductal Carcinoma of the Breast |
| Maki Amano1,2, Shohei Fujita1,3, Naoyuki Takei4, Katsuhiro Sano1, Akihiko Wada1, Kanako Sato1, Junko Kikuta1, Yoshiki Kuwatsuru1, Rina Tachibana1,5, Towa Sekine1,5, Yoshiya Horimoto6, and Shigeki Aoki1 | ||
1Radiology, Juntendo University, Tokyo, Japan, 2Radiology, Nihon University Hospital, Tokyo, Japan, 3Radiology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan, 4MR Applications and Workflow, GE Healthcare Japan, Tokyo, Japan, 5Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan, 6Breast Oncology, Juntendo University, Tokyo, Japan |
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Keywords: Breast, Cancer The present study aimed to evaluate the feasibility of 3D quantitative synthetic MRI for discriminating the immunohistochemical (IHC) status of invasive ductal carcinoma (IDC) of the breast. We found that volumetric T1 and T2 values of IDC varied according to IHC status, including those for hormone receptors and Ki-67, indicating the feasibility of this method for discriminating the IHC status of IDC of the breast. |
| 3463 | Computer 56
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Prediction of breast cancer response to neoadjuvant chemotherapy via early changes in quantitative DCE-MRI |
| Mengyi Wang1, Xiaoling Zhang1, Shaofu ling He1, Yangling Hu1, and LiJuan Mao1 | ||
1Department of Radiology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China |
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Keywords: Breast, Cancer, Neoadjuvant chemotherapy Our study suggests that the percentage change for second visits relative to baseline of enhanced tumor volume-based imaging metrics of DCE-MRI can quantify heterogeneous changes within the tumor as an indicator of therapy response and improve prediction of PCR as early as the first treatment time point in NAC. |
| 3464 | Computer 57
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Use of Dixon technique in breast contrast-enhanced T1WI for post-mastectomy patients at 3T |
| Qing FU1, Jie Liu1, Ding-xi Liu1, Ting Yin2, Peng Sun3, Zi-qiao Lei1, and Fan Yang1 | ||
1Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2MR Collaborations, Siemens Healthineers Ltd., Chengdu, China, 3Philips Healthcare, Beijing, China |
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Keywords: Breast, Breast, MRI; Dixon; fat suppression; 3T For patients with breast lesion resection, conventional contrast enhanced T1WI images with SPAIR provides poor fat suppression in the post-mastectomy breasts side due to the uneven skin surface, inhomogeneous tissues environment, and the frequency-selective feature of SPAIR scheme. Our study aimed to investigate the performance of fat suppression with the Dixon method in single side post-mastectomy patients. Subjective and objective evaluation suggested the Dixon method is superior to conventional SPAIR fat suppression in depicting the bilateral breast. Dixon method provided better image uniformity and higher fat suppression efficiency, and showed significant advantages in delineating the anatomical structures, with better axillary and lesion visibilities, especially in the completely removed breast side. |
| 3465 | Computer 58
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Feasibility of ultrafast DCE-MRI in differentiating benign and malignant breast tumors |
| Junhui Huang1,2, Lihua Qiu3, Yongsheng Ao3, Lan Mu4, Zhanli Hu5, Dong Liang5, Xin Liu5, Hairong Zheng5, and Na Zhang5 | ||
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, ShenZhen, China, 2Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China, 3Yibin Second People's Hospital, Yibin, China, 4Chengdu Pidu District People's Hospital, Chengdu, China, 5Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China |
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Keywords: Breast, Data Analysis, Conventional DCE-MRI, ultrafast DCE-MRI, quantitative parameters, semiquantitative parameters The conventional dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) technique has been shown to be very sensitive in detecting benign and malignant breast cancer lesions. However, it requires a relatively long acquisition time and hence a semiquantitative imaging technique. To reduce the acquisition time, ultrafast DCE-MRI techniques have been proposed for breast tumor imaging. Our study aims to investigate the feasibility of the ultrafast DCE-MRI technique in differentiating benign and malignant breast tumors. The results show that the semiquantitative and quantitative parameters obtained with ultrafast DCE-MRI are superior to those obtained with conventional DCE-MRI in differentiating benign and malignant breast tumors. |
| 3466 | Computer 59
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Assessment of breast lesions using amide proton transfer-weighted imaging and dynamic contrast-enhanced MR imaging: a pilot study |
| Lulu Zhuang1, Chun Lian1, Zehao Wang1, Ximin Zhang1, Zhigang Wu2, Qingping Gu3, and Rong Huang1 | ||
1Department of Radiology, Peking University Shenzhen Hospital, ShenZhen, China, 2Clinical & Technical Support, Philips Healthcare Ltd, ShenZhen, China, 3Clinical Application, Philips Healthcare Ltd, ShenZhen, China |
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Keywords: Breast, Breast MRI is a non-invasive method for breast lesions diagnosis.However, some imaging features of benign and malignant lesions in breast are still overlap. APT-weighted imaging (APTw) is a endogenous biomarker that allows non-invasive visualization of tissue composition and microscopic information for mobile proteins and peptides. The present study explores the feasibility of the combination of APT and dynamic contrast-enhanced MR imaging to assess of breast lesions. Results of this study indicate the APT value has significant difference between benign and malignant breast lesions. |
| 3467 | Computer 60
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Improved differentiation of benign and malignant breast lesions based on Kaiser score descriptors and apparent diffusion coefficient |
| Lingsong Meng1, Xin Zhao1, Jinxia Guo2, Lin Lu1, Meiying Cheng1, Qingna Xing1, Honglei Shang1, Yafei Guo1, Shifang Tan1, Lingjie Zhang1, and Xiao-an Zhang1 | ||
1The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2General Electric (GE) Healthcare, MR Research China, Beijing, Beijing, China |
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Keywords: Breast, Breast Breast cancer is the most frequently diagnosed malignant tumor in women and badly threatens the female's health. Kaiser score (KS) shows excellent and robust performance in evaluating breast lesions. This scoring system doesn’t include quantitative image features and clinical information, however, which may result in false-negative diagnoses, especially for cancers showing atypical morphological characteristics. In this study, we evaluated the importance of five features in KS, apparent diffusion coefficient (ADC), and patient age respectively and combined them to build new models to explore if there will be an improvement in the differential diagnosis of breast lesions compared with KS. |
| 3625 | Computer 41
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Size Matters: Automated Quantification of Acute Changes in Kidney Size with Deep Dilated U-Net Segmentation of Dynamic Parametric MRI |
| Tobias Klein1,2, Thomas Gladytz1, Jason M. Millward1, Kathleen Cantow3, Luis Hummel3, Erdmann Seeliger3, Sonia Waiczies1, Christoph Lippert2,4, and Thoralf Niendorf1,5 | ||
1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine, Berlin, Germany, 2Digital Health - Machine Learning Research Group, Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany, 3Institute of Translational Physiology, Charité - Universitätsmedizin, Berlin, Germany, 4Hasso Plattner Institute for Digital Health, Icahn School of Medicine at Mount Sinai, New York City, NY, United States, 5Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine, Berlin, Germany |
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Keywords: Kidney, Preclinical Deep learning algorithms enable fast kidney segmentation, which is crucial to establish renal size as a (pre)clinical biomarker for renal diseases. Tackling this challenge, a novel deep dilated U-Net (DDU-Net) was trained, validated, and tested on preclinical ground truth data, benchmarked on simulated data against an analytical model, and applied to longitudinal in vivo MRI scans acquired in rats, with pathophysiological interventions mimicking clinically realistic scenarios. Our DDU-Net reached a Dice score of 0.98 on the ground truth, outperformed the analytical approach, and facilitated rapid detection of acute changes in kidney size upon acute pathophysiological interventions. |
| 3626 | Computer 42
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Transfer learning of renal cortex segmentation from CT to MRI: facilitated with automatic labeling |
| Chang Ni1, Xin Mu1, Yanbin Li2, Haikun Qi3,4, and Jeff L. Zhang1 | ||
1Vascular and Physiologic Imaging Research (VPIR) Lab, School of Biomedical Engineering, ShanghaiTech University, Shanghai, China, 2Central Research Institute,UIH Group, Shanghai, China, 3School of Biomedical Engineering, ShanghaiTech University, Shanghai, China, 4Shanghai Clinical Research and Trial Center, Shanghai, China |
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Keywords: Kidney, Segmentation Segmentation of renal cortex in MR images is important but challenging. In this study, we proposed to pre-train a ResUNet model with CT images and to use an automatic method for labeling renal cortex for the training data. Such method with transfer learning and automatic labeling performed well in segmenting renal cortex in MR images, with a DICE similarity of 0.85 and volume error of 14%±5%. The proposed method would make labeling of renal cortex for training dataset much more efficiently, and we further confirm the power of transfer learning technique in segmenting renal MR images. |
| 3627 | Computer 43
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The Value of T2 mapping Sequence in Evaluating Renal Damage in Patients with Liver Cirrhosis |
| Ye Ju1, Yue Wang1, Nan Wang1, and Ailian Liu1 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Kidney, fMRI Patients with liver cirrhosis are easily complicated with renal injury, and it is often difficult to find the symptoms of early renal injury in time, which eventually leads to poor prognosis. T2 mapping, as a quantitative MRI technique, can provide quantitative information about the content and composition of water and collagen fibers [1]. The results of this study show that T2 mapping can effectively evaluate the renal damage of liver cirrhosis, so T2 mapping is expected to be an effective way to quantitatively and non-invasively evaluate the renal damage of liver cirrhosis. |
| 3628 | Computer 44
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Value of mDIXON-Quant mDixon-Quant sequence Imaging in Evaluation of Renal Function Damage in Patients with Liver Cirrhosis |
| Yue Wang1, Ye Ju1, Nan Wang1, and Ailian Liu1 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Kidney, Liver Patients with liver cirrhosis are easy to be complicated with renal function injury, and symptoms of early renal injury are hidden and often difficult to be detected in time, which may ultimately lead to poor prognosis. mDixon-Quant imaging, a novel fat quantitative MRI technique was used to evaluate the degree of renal function injury in patients with cirrhosis. Results showed that mDixon-Quant imaging can be an effective method for noninvasive diagnosis and early assessment of renal function injury in liver cirrhosis. |
| 3629 | Computer 45
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Perfusion MRI using dynamic contrast-enhanced MRI and arterial spin labeling for the characterization of small renal masses: preliminary study. |
| Haitham Al-Mubarak1, Octavia Bane1,2, Paul Kennedy1, Philip Robson1, Jordan Cuevas1,2, Arthi Reddy2, Kristina Prachanronarong2, Kirolos Meilika3, Amir Horowitz4, Bernd Kuhn5, Steven Sourbron6, Ketan Badani3, Bachir Taouli1,2, and Sara Lewis1,2 | ||
1BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Precision Immunology Institute/Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 5Siemens Healthcare, Erlangen, Germany, 6University of Sheffield, Sheffield, United Kingdom |
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Keywords: Cancer, DSC & DCE Perfusion Functional imaging using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and arterial spin-labeling (ASL), which is a non-contrast technique, have been proposed to quantitatively assess perfusion and vascular flow in small renal masses (SRM) and may provide complementary information. In our initial series, we found significant differences in certain DCE-MRI quantitative and semi-quantitative parameters for renal cell carcinoma (RCC) versus benign tumors (Vp, wash-in, wash-out TTP and AUC) and between ccRCC versus non-clear cell (non-cc)RCC (Ve), while no differences existed between groups for ASL. Certain pharmacokinetic parameters derived from DCE-MRI appear promising for SRM characterization |
| 3630 | Computer 46
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Morphological and Functional Evaluation of Diabetic Kidney Disease Cohorts by using T2-Weighted and Diffusion Weighted MRI |
| Kaixuan Zhao1,2,3, Sheng Li4, Zhigang Wu5, Thoralf Niendorf6, Wenjian Wang4, and Zaiyi Liu1,3 | ||
1Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences,Guangzhou 510080, China, Guangzhou, China, 2Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China, Guangzhou, China, 3Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China, Guangzhou, China, 4Division of Nephrology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China, Guangzhou, China, 5Philips Healthcare Beijing Ltd., Shenzhen, China, 6Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, Berlin, Germany |
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Keywords: Kidney, Kidney Diabetic Kidney Disease (DKD) is the leading cause of end-stage renal disease worldwide. Morphological evaluation of renal compartment volume changes and functional evaluation of renal ADC changes provide comprehensive insight into DKD disease progression. This study compares renal compartment volume changes including: 1) parenchyma volume ,2) pelvis volume, 3) whole kidney volume and 4) parenchyma volume percentage and the functional parameter ADC for DKD groups with different CKD staging. Our results demonstrate that cortical/medullary ADC, parenchyma volume and whole kidney volume are correlated with eGFR and suggest that the cortical ADC is a stronger predictor of eGFR in DKD. |
| 3631 | Computer 47
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Accelerating 2D Kidney Magnetic Resonance Fingerprinting using Deep Learning–Based Tissue Quantification |
| Huay Din1, Christina J. MacAskill2, Sree Harsha Tirumani2,3, Pew-Thian Yap4, Mark Griswold2,3, Chris Flask2,3, and Yong Chen1,3 | ||
1Case Western Reserve University, Cleveland, OH, United States, 2Department of Radiology, Case Western Reserve University, Cleveland, OH, United States, 3Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States, 4Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States |
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Keywords: Kidney, Quantitative Imaging, Cancer In this pilot study, we developed and optimized a spatially-constrained convolutional neural network to accelerate the scan time for 2D kidney Magnetic Resonance Fingerprinting (MRF). Our results suggest that an acceleration factor of 3 can be achieved with the proposed method, which shortens the 2D breath-hold MRF scan from 15 sec to 5 sec. In addition, the deep learning based approach can be applied for T1 and T2 quantification of both normal renal tissues and pathologies including renal cell carcinoma. |
| 3632 | Computer 48
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Improved accuracy of triexponential diffusion analysis of the kidney using motion-corrected reconstruction for free-breathing DWI |
| Yuki Makino1, Naoki Ohno2, Johannes M Peeters3, Masami Yoneyama4, Yu Ueda4, Tosiaki Miyati2, Yukihiro Matsuura1, Toshifumi Gabata5, and Satoshi Kobayashi1,2,5 | ||
1Radiology Division, Kanazawa University Hospital, Ishikawa, Japan, 2Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Ishikawa, Japan, 3Philips Healthcare, Best, Netherlands, 4Philips Japan, Tokyo, Japan, 5Department of Radiology, Kanazawa University Hospital, Ishikawa, Japan |
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Keywords: Kidney, Diffusion/other diffusion imaging techniques The clinical application of triexponential intravoxel incoherent motion analysis in the kidney has been limited because the blurring and misregistration of images caused by respiratory motion during acquisition. To solve this issue, we applied retrospective motion-corrected (MC) reconstruction to free-breathing (FB) DWI of the kidney for accurate triexponential diffusion analysis. Our results showed that triexponential analysis using MC FB-DWI can improve the measurement accuracy and repeatability of triexponential diffusion parameters of the kidney. |
| 3633 | Computer 49
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3D Multichannel Convolutional Neural Network for Differentiating Benign and Malignant Solid Renal Masses with/without Bias Field Correction |
| Peter Wawrzyn1, Ruben Ngnitewe Massa1, Jamal Gardezi1, and Andrew Wentland1,2,3 | ||
1Department of Radiology, University of Wisconsin Madison, Madison, WI, United States, 2Department of Biomedical Engineering, University of Wisconsin Madison, Madison, WI, United States, 3Department of Medical Physics, University of Wisconsin Madison, Madison, WI, United States |
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Keywords: Kidney, Machine Learning/Artificial Intelligence, Bias Field Correction A deep learning model was developed for the differentiation of benign and malignant solid renal masses. A representative and balanced dataset was used, and model performance was evaluated with and without bias field correction (BFC). The model input contained multiple channels for various MRI-based tissue contrast weightings. The model achieved an accuracy and AUC of 74% and 71% with BFC and 80% and 59% without BFC. This work showed that a convolutional neural network can be trained to differentiate benign from malignant renal masses with a high degree of accuracy and that BFC improves AUC. |
| 3634 | Computer 50
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Preliminary study on the influence of renal motion amplitude on APTw image quality of normal kidney |
| Ruirui Ma1, Min Jia1, Xia Wang1, Wei Zhang1, Na Zhao1, Gang Tian1, Chanjuan Yu1, Xiuzheng Yue2, and Yuedong Han1 | ||
1Xi'an GaoXin Hospital, Xi'an, China, 2Philips Healthcare, Beijing, China |
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Keywords: Kidney, CEST & MT Respiratory movement is the main reason for upper and middle abdominal organ movement, which significantly affects the quality of MR imaging.This study aims to analyze the influence of renal motion amplitude on renal APT imaging through free breathing (FB), and breath holding (BH) based on multi-phase balanced turbo fast field echo (B-TFE). The results showed that renal motion amplitude was negatively correlated with APTw image quality scores. The renal motion amplitude of bilateral kidneys of BH mode was significantly reduced compared with FB, and the APT image quality of BH mode was better. |
| 3635 | Computer 51
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Renal Cell Carcinoma: Predicting Venous Tumor Thrombus Consistency via IVIM-Diffusion-weighted MR Imaging and Apparent Diffusion Coefficient |
| Jian Zhao1, Hai-Yi Wang1, Mei-Feng Wang1, Huan-Huan Kang1, Hui-Ping Guo1, Shao-Peng Zhou1, and Hui-Yi Ye1 | ||
1Department of Radiology, Chinese PLA General Hospital, Beijing, China |
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Keywords: Kidney, Diffusion/other diffusion imaging techniques Problem: Evaluation of VTT consistency through preoperative images has not been reported yet.Methods: Intravoxel incoherent motion (IVIM)-derived parameters and apparent diffusion coefficient (ADC) were employed to predict VTT consistency of RCC. Results: Dt of the primary tumor and VTT generated the area under the ROC curve (AUC) values of 0.758 (95%CI: 0.671, 0.832) and 0.712 (95%CI: 0.622, 0.792) for differentiating friable and solid VTT. The AUC value of the model combining Dp and Dt of VTT and Dt of the primary tumor reached 0.886 (95%CI: 0.814, 0.937). Conclusions: IVIM parameters can effectively predict the VTT consistency of RCC. |
| 3636 | Computer 52
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Diagnostic Performance and Interobserver Agreement of Clear Cell Likelihood Score Using T2-Weighted Imaging with Fat Suppression Technique |
| Yu-Wei Hao1, Hui-Yi Ye1, and Hai-Yi Wang1 | ||
1Department of Radiology, the first Medical Centre of Chinese PLA General Hospital, Beijing, China |
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Keywords: Kidney, Kidney, Clear cell likelihood score; Clear cell renal cell carcinoma Whether T2-weighted imaging with or without fat suppression technique affects the performance of Clear Cell Likelihood Score v2.0 (ccLS v2.0) for diagnosing ccRCC in SRMs is not known. The final results showed that the tumor signal intensity between T2-weighted imaging with and without fat suppression was statistically significant (P < 0.001), but diagnostic performance and interobserver agreement of ccLS v2.0 in the diagnosis of ccRCC based on the two imaging techniques was comparable (P>0.05). Fat-suppressed T2-weighted imaging is also applicable to ccLS v2.0. This finding is helpful to expand the clinical application scope of ccLS and increase its clinical universality. |
| 3637 | Computer 53
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Correlation of Monopolar ADC and Bipolar ADC measurements to MRE Estimates in Healthy Human Kidney |
| Gregory McClanahan1,2 and Arunark Kolipaka1,2 | ||
1Biomedical Engineering, Ohio State University, Columbus, OH, United States, 2Radiology, Ohio State University, Columbus, OH, United States |
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Keywords: Kidney, Elastography, MRI, MRE, Diffusion Imaging Kidney disease and injury can be assessed using tissue stiffness measurements determined by Magnetic Resonance Elastography (MRE), a method that uses MRI. Similarly, diffusion measurements such as apparent diffusion coefficient (ADC) can also provide useful information regarding tissue health. Our goal is to assess the health of the cortex, medulla, and whole kidney by comparing ADC measurements from monopolar and bipolar diffusion gradient schemes against MRE derived stiffness values. Preliminary results indicate a strong correlation between MRE derived stiffness values and monopolar derived ADC measurements and a fair correlation between MRE derived stiffness values and bipolar derived ADC measurements. |
| 3638 | Computer 54
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The feasibility of distinguishing HSPN from HSP in children using intra-voxel incoherent motion diffusion weighted imaging |
| Hang Su#1, Gang Zhang#1, Jingjing Wu1, Wei Xing1, Yufu Hu1, Zhiwei Shen2, Ke Jiang2, Yuying Sun1, Xia Zhang1, and Xianqing Ren*1 | ||
1The First Affiliated Hospital of Henan University of CM, Zhengzhou, China, 2Philips healthcare, Beijing, China |
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Keywords: Kidney, Kidney Currently, the therapeutic significance of IVIM-DWI has been examined in numerous kidney illnesses such as transplanted kidney, renal tumor, and renal failure; however, the application in purpura nephritis is uncommon. As a result, the purpose of this study was to investigate the clinical feasibility of IVIM-DWI in differentiating purpura nephritis (HSPN) from allergic purpura (HSP) in children by using D and K values obtained from a small-field DWI sequence with respiratory trigger |
| 3639 | Computer 55
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Noninvasive assessment of the renal function, the Oxford classification and the prognostic risk stratification of IgAN by DWI and BOLD MRI |
| Ping Liang1, Chuou Xu1, Daoyu Hu1, and Zhen Li1 | ||
1Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China |
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Keywords: Kidney, Diffusion/other diffusion imaging techniques Purpose To explore whether IVIM-DWI and BOLD-MRI can assess the renal function, Oxford classification and prognostic risk stratification of IgAN patients. Methods This retrospective study included 46 IgAN patients and 20 healthy volunteers for renal MRI examinations. T2* values on BOLD images and ADC, Dt, Dp, fp values on IVIM-DWI images were measured. Results: Cortical Dt generated the largest area under the curve for differentiating 5-year risk scores ≤ 10% from 5-year risk scores > 10%, and for differentiating T0 from T1/T2. Conclusions IVIM-DWI and BOLD-MRI can assess the renal function, Oxford classification, and prognostic risk stratification of IgAN patients. |
| 3640 | Computer 56
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Preliminary exploration of 3D-APTw imaging in renal tumor applications |
| Xia Wang1, Min Jia1, Xiuzheng Yue2, Queenie Chan2, Ruirui Ma1, Wei Zhang1, Shanshan Wang1, Gang Tian1, Nan He1, Jiang guang He3, and Yuedong Han1 | ||
1Department of Radiology, Xi'an GaoXin Hospital, Xi'an, China, 2Philips Healthcare, Beijing, China, 3Department of Urology Surgery, Xi'an GaoXin Hospital,, Xi'an, China |
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Keywords: Kidney, CEST & MT APTw imaging focuses on cranial tumor studies with significant clinical value, with fewer studies in mid-upper abdomen, because of the movement of organs and B0 fields inhomogeneous. Previously used showed that intermittent breath-hold (IBH) could to improve the image quality of 3D-APTw imaging in healthy adults. In this study, we used the IBH respiratory compensation mode to initially explore the feasibility of 3D-APTw imaging of renal tumors. The findings suggested that 3D-APTw imaging with IBH can be not only used for imaging renal tumors, but also showed potential values in renal tumors diagnosis and differential diagnosis. |
| 3641 | Computer 57
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Quantitative MR Images of Renal Parenchymal Disease: An Experimental In Vivo Study Using Rat Chronic Kidney Disease Models |
| Sang Youn Kim1 and Jeong Yeon Cho1 | ||
1Radiology, Seoul National University Hospital, Seoul, Korea, Republic of |
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Keywords: Kidney, Quantitative Imaging Quantitative MRI sequences could be a noninvasive assessment modality in the diagnosis and evaluation of CKD. In particular, T1ρ may be a suitable MR sequence parameter to assess renal parenchymal fibrosis in a quantitative manner. Moreover, monitoring the change in common metabolites using MRS may reflect the alteration of osmolality in the renal medulla in CKD. |
| 3642 | Computer 58
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ABSOLUTE QUANTIFICATION OF RENAL ASL IN DOGS |
| Luis Carlos Sanmiguel Serpa1, Amber Hillaert2, and Pim Pullens3 | ||
1Radiology, Ghent University, AALTER, Belgium, 2Morphology, Imaging, Orthopedics, Rehabilitation and Nutrition, Ghent University, Ghent, Belgium, 3Ghent Institute of Functional and Metabolic Imaging, Ghent University, Ghent, Belgium |
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Keywords: Kidney, Arterial spin labelling Arterial Spin Labeling (ASL) is a noninvasive fMRI technique that may evaluate canine renal condition. To date, however, the parameters to estimate the renal blood flow (RBF) have not been calculated on dogs. Therefore, λ: blood-tissue water partition coefficient in kidneys and canine at 3T were measured. Measured λ was 0.91[mL/g] and was 1463 ms. With these new values RBF maps were calculated and then compared against the RBF maps given by the scanner. This pilot study demonstrates the relevance of the ASL parameters estimation for the RBF maps calculation in canine kidney. |
| 3643 | Computer 59
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3D-pASL and DWI for detection of the function of transplanted kidneys with 1.5T MRI |
| LING ZHANG 1, Sheng Xie1, Xiuzheng Yue2, Zhenshan Ding1, Xiaoqi Pu1, and Yiwei Li1 | ||
1China-Japan friendship hospital, Beijing, China, 2Philips Healthcare, Beijing, China |
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Keywords: Kidney, Transplantation Kidney Transplanted is the therapyfor patients with end-stage renal disease. Arterial spin labeling (ASL) uses magnetic labeling of water from inflowing blood as an endogenous tracer to acquire maps of absolute regional perfusion. The purpose of this study was to evaluate the blood flow of transplanted kidney allograft using a 1.5T MRI with ASL technique and determine whether renal allograft cortical perfusion by ASL could be a non-invasive biomarker for identifying kidney allograft function. Our data showed DWI and 3D-pCASL could be quantitative non-invasive tools for the clinical translation of identifying kidney allografts with subclinical pathology in further study. |
| 3800 | Computer 41
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Exploration of interstitial fibrosis in chronic kidney disease by diffusion-relaxation correlation spectrum MR imaging |
| Fang Liu1, Wentao Hu2, Yongming Dai2, Minfang Zhang3, and Yan Zhou1 | ||
1Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China, 3Department of Nephrology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China |
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Keywords: Kidney, Diffusion/other diffusion imaging techniques Non-invasive evaluation of interstitial renal fibrosis would help monitoring chronic kidney disease (CKD) progression and prognosis prediction. This study was aimed to evaluate renal interstitial fibrosis by diffusion relaxation correlated spectrum imaging (DR-CSI). Correlation was found between DR-CSI volume fractions and interstitial fibrosis level (IFL). VB illustrated best diagnostic performance among MRI indicators. We suggest DR-CSI is of potential value in the evaluation of renal interstitial fibrosis. |
| 3801 | Computer 42
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Three-Dimensional Multifrequency MR Elastography: clinical application for Chronic Kidney Disease |
| Shan Pi1, Jonathan M. Scott2, Yin Li3, Huiquan Wen1, Matthew C. Murphy2, Jingbiao Chen1, Meng Yin2, Jun Chen4, Kevin J Glaser2, Richard L Ehman2, Hui Peng3, and Jin Wang1 | ||
1Department of Radiology, the Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China, 2Department of Radiology, Mayo Clinic, Rochester, MN, United States, 3Department of Nephrology, the Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China, 4Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), Guangzhou, China |
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Keywords: Kidney, Elastography Chronic kidney disease (CKD) is increasing in incidence and prevalence worldwide around the world, and early detection of CKD is a major challenge. MR elastography (MRE) is a noninvasive technique capable of quantifying the mechanical properties of tissue that has shown potential for assessing kidney diseases. Our results showedthe stiffness and damping ratio were significantly correlated with eGFR and biopsy score in CKD patients. The stiffness and damping ratio also decreased along with the progression of CKD. MRE using 60-Hz and 90-Hz vibration frequencies can provide potential quantitative biomarkers for evaluating kidney function and pathological injury in CKD patients. |
| 3802 | Computer 43
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The value of 3D APTw Combined Intravoxel Incoherent Motion in Evaluation of the Renal Function in Chronic Kidney Disease |
| Yue Wang1, Ye Ju1, Dandan Zheng2, and Ailian Liu1 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Clinical & Technical Support, Philips Healthcare, China, Shanghai, China |
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Keywords: Kidney, CEST & MT, amide proton transfer Early diagnosis of chronic kidney disease (CKD) is difficult because of its hidden condition, mild symptoms and imperceptible symptoms. Amide proton transfer weighted (APTw) is a new contrast-free MR imaging technique, which can non-invasively detect the changes of amide proton concentration in endogenous mobile proteins and polypeptides in tissues. Intravoxel income motion (IVIM) can simultaneously obtain the microcirculation perfusion and water molecule diffusion of patients. The results showed that APTw and IVIM parameters APT, D* and D had good diagnostic efficiency in evaluating CKD renal function, especially the cortex APT value. |
| 3803 | Computer 44
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A NEW METHOD TO ANALYSE RENAL PERFUSION: A PROOF OF CONCEPT |
| Luis Carlos Sanmiguel Serpa1,2,3, Pieter De Visschere1,2, Marijn Speeckaert4,5, and Pim Pullens3,6 | ||
1Radiology, Ghent University Hospital, Ghent, Belgium, 2Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium, 3Ghent Institute of Functional and Metabolic Imaging, Ghent University, Ghent, Belgium, 4Nephrology, Ghent University Hospital, Ghent, Belgium, 5Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium, 66IBiTech– Medisip, Ghent University, Ghent, Belgium |
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Keywords: Kidney, Arterial spin labelling To date, renal ASL MRI images are analysed with methods that may underestimate renal perfusion or that may be observer-dependent. In this study, we implemented two analysis methods that take into account the complex morphology of the kidney. One analyses the kidney progressively, from the cortex to the medulla, and the second one, a new algorithm analyses the kidney in radial sections. Our results show that perfusion values change across the kidney and that healthy subjects have higher perfusion values. This study shows the importance of using more robust analysis on kidney ASL MRI images. |
| 3804 | Computer 45
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Restricted Water Diffusion in the Renal Cortex is Associated with Early Developmental Factors and Elevated Urinary Cytokines in Preadolescents |
| Navin Michael1, Liangjian Lu2, Delicia Shu Qin Ooi3, Chang-Yien Chan2,3, Kashthuri Thirumugan1, Suresh Anand Sadananthan1, Pottumarthi V. Prasad4, Marielle Fortier5, See Ling Loy6,7, Tan Kok Hian8,9, Fabian Yap7,10,11, Yap Seng Chong12, Keith Godfrey13, Peter Gluckman14, Johan G. Eriksson12,15,16, Yung Seng Lee3, Karen Moritz17, Shiao-Yng Chan12, Mary Wlodek1,18,19, and S. Sendhil Velan1 | ||
1Singapore Institute for Clinical Sciences, Singapore, Singapore, 2Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore, 3Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore, 4Department of Radiology, NorthShore University Health System, Evanston, IL, United States, 5Department of Diagnostic and Interventional Imaging, KK Women’s and Children’s Hospital, Singapore, Singapore, 6Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, Singapore, 7Duke-NUS Medical School, Singapore, Singapore, 8Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore, 9Academic Medicine, Duke-National University of Singapore Graduate Medical School, Singapore, Singapore, 10Department of Pediatrics, KK Women's and Children's Hospital, Singapore, Singapore, 11Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore, 12Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore, 13MRC Lifecourse Epidemiology Centre and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom, 14Liggins Institute, University of Auckland, Auckland, New Zealand, 15Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland, 16Folkhälsan Research Center, Helsinki, Helsinki, Finland, 17School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, Australia, 18School of Molecular Sciences, The University of Western Australia, Crawley, Australia, 19Obstetrics and Gynaecology, University of Melbourne, Parkville, Australia |
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Keywords: Kidney, Diffusion/other diffusion imaging techniques, Intravoxel Incoherent Motion Imaging, Renal Inflammation Developmental factors that impair nephrogenesis can increase risk for chronic kidney disease (CKD). The early stages of CKD are characterized by an increased infiltration of inflammatory cells into the renal interstitium, which can restrict the molecular diffusion of water. We found that maternal gestational diabetes and preterm birth were associated with 2-fold and 4-fold higher risk of having restricted water diffusion (IVIM diffusion coefficient < 10th centile) in the renal cortex of preadolescents, respectively. Preadolescents with restricted diffusion had elevated urinary pro-inflammatory, chemotactic and pro-fibrotic cytokines, without elevations in blood markers of systemic inflammation, which was suggestive of renal inflammation. |
| 3805 | Computer 46
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Development of an MR Imaging Protocol for Ex-Vivo Assessment of Deceased Donor Human Kidneys |
| Alexander J Daniel1, Sarah Fawaz2, Philip Charles3, Mohamed Elzawahry2, Jane I Grove4, David Long5, James Hunter2, Maria Kaisar2, and Susan T Francis1 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2Nuffield Department of Surgical Sciences, Oxford University, Oxford, United Kingdom, 3Big Data Institute, Oxford University, Oxford, United Kingdom, 4NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom, 5Developmental Biology and Cancer Department, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom |
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Keywords: Kidney, Transplantation Kidney transplantation is the preferred treatment for end-stage kidney disease. Donor kidney viability is currently assessed using donor age, medical history, and serum creatinine, but these have limited predictive power. As part of a study to determine if MRI can be used as an alternative, more accurate, measurement of donor kidney viability, we outline a multiparametric MRI protocol (high resolution structural scans, relaxometry (T1, T2 and T2*) mapping, susceptibility-weighted-imaging (SWI), diffusion-weighted imaging (DWI), and magnetisation transfer ratio (MTR)) to study human whole kidneys that have been declined as transplants. MRI measures will be integrated with 3D-histology and tissue proteomics datasets. |
| 3806 | Computer 47
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Assessment of Donor Kidney Storage Using a Porcine Model |
| Alexander J Daniel1, Mohamed Elzawahry2, Philip Charles3, Sarah Fawaz2, Maria Kaisar2, James Hunter2, and Susan T Francis1 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2Nuffield Department of Surgical Sciences, Oxford University, Oxford, United Kingdom, 3Big Data Institute, Oxford University, Oxford, United Kingdom |
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Keywords: Kidney, Transplantation Here, we investigate in a porcine model how MR parameters change as donor kidneys are cold stored, by studying the effect of temperature, cold ischaemia time and compare static cold storage (SCS) with hypothermic machine perfusion (HMP).Variation in relaxometry measurements with temperature has been modelled allowing the comparison of in-vivo and ex-vivo datasets, especially important when considering T1 measurements. The effects of cold ischemia time on relaxometry measures have also been quantified allowing this confounding factor to be accounted for in larger studies of human deceased donor organs. Susceptibility Weighted Imaging observed blood products in an SCS porcine kidney. |
| 3807 | Computer 48
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Correlation between Shifted Apparent Diffusion Coefficient of the Renal Parenchyma and Estimated Glomerular Filtration Rates: A Pilot Study |
| Atsushi Nakamoto1, Hiromitsu Onishi1, Takahiro Tsuboyama1, Takashi Ota1, Hideyuki Fukui1, Keigo Yano1, Toru Honda1, Kengo Kiso1, Shohei Matsumoto1, Mitsuaki Tatsumi1, and Noriyuki Tomiyama1 | ||
1Osaka University Graduate School of Medicine, Suita, Japan |
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Keywords: Kidney, Diffusion/other diffusion imaging techniques This retrospective study investigated the correlation between shifted apparent diffusion coefficient (sADC) of the kidney measured using diffusion-weighted imaging obtained with b = 200, 1500 and estimated glomerular filtration rates (eGFR), and the performance in discriminating patients with impaired renal function was compared between sADC and ADC. sADC of the renal cortex showed the highest correlation coefficient in correlation with eGFR. In discriminating cases with eGFR <45, <60, or <90, sADC of renal cortex showed higher area under the curve compared to ADC, although the difference was not significant. sADC might be more useful in predicting renal function than ADC. |
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Higher Field Reduced-FOV Diffusion-Weighted-Imaging for Abdominal Imaging at 5.0 Tesla: Image Quality Evaluation Compared with 3.0 Tesla |
| Yunfei Zhang1, Yongming Dai1, and Mengsu Zeng2 | ||
1MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China, 2Zhongshan Hospital of Fudan University, Shanghai, China |
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Keywords: New Devices, Diffusion/other diffusion imaging techniques Reduced field-of-view (rFOV) technique is a feasible approach to counter the constraints of conventional DWI. Most recently, the 5.0 T whole-body MRI system was developed, which provides an alternative choice for high field abdominal DWI. This research aims to evaluate the image quality of 5.0 T rFOV-DWI with the 3.0 T rFOV-DWI as the reference. The results indicated that 5.0 T rFOV-DWI had better overall image quality and improved SNR compared to 3.0 T rFOV-DWI, which holds clinical potential for identifying the abdominal abnormalities in routine practice. |
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Kidney T2 can be used as a biomarker for disease progression and functional decline in mouse models of polycystic kidney disease |
| Florian Schmid1, Georgios Koukos1, Matt Sooknah1, Sanam Assili1, and Johannes Riegler1 | ||
1Calico Life Sciences, South San Francisco, CA, United States |
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Keywords: Kidney, Kidney We investigated quantitative T2 mapping as an MRI biomarker for disease progression in mouse models of autosomal dominant polycystic kidney disease and its correlation with kidney function. Our results show a good correlation between the fraction of the kidney tissue with elevated T2 and cyst load quantified by histology. There was also a good correlation between high T2 values and kidney function decline indicated by reduced glomerular filtration rates. |
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Quantitative assessment of split renal function in early lupus nephritis using BOLD-MR: an initial study |
| Ye Wang1,2, Zexuan Hu3, Chutong He1,2, Ruili Wei1,2, Xinrui Pang1,2, Fangrong Liang1,2, Aaron Zhang4, Yongzhou Xu4, Shiwen Yuan1,5, and Ruimeng Yang1,2 | ||
1The second Affiliated Hospital Guangzhou, School of Medicine, South China University of Technology, Guangzhou, China, 2Department of Radiology, Guangzhou First People’s Hospital, Guangzhou, China, 3Department of Radiology, TCM-integrated Hospital of Southern Medical University, Guangzhou, China, 4Philips Healthcare, Guangzhou, China, Guangzhou, China, 5Department of Rheumatology, Guangzhou First People’s Hospital, Guangzhou, China |
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Keywords: Kidney, fMRI, split-renal function Lupus nephritis (LN) is one of the most severe manifestations of systemic lupus erythematosus (SLE) that can progress to end-stage kidney disease. This study aimed to detect the split-renal function changes in early-LN by using BOLD-MRI. The results demonstrated the R2*, as a biomarker for tissue oxygenation, was significantly lower in cortex and medulla in the early-LN patients compared to the healthy volunteers. Moreover, The R2* in medulla remained a considerable good power in predicting early-LN, suggesting it has the potential to be employed as a noninvasive imaging biomarker for early-LN patients with SLE. |
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Diffusion tensor imaging-based quantitative assessment of renal function in early-stage lupus nephritis |
| Chutong He1,2, Ye Wang1,2, Xinrui Pang1,2, Ruili Wei1,2, Fangrong Liang1,2, Yongzhou Xu3, Aaron Zhang3, Shiwen Yuan4,5, and Ruimeng Yang1,2 | ||
1The second Affiliated Hospital Guangzhou, School of Medicine, South China University of Technology, Guangzhou, China, 2Department of Radiology, Guangzhou First People’s Hospital, Guangzhou, China, 3Philips Healthcare, Guangzhou, China, 4Department of Rheumatology, The second Affiliated Hospital Guangzhou, School of Medicine, South China University of Technology, Guangzhou, China, 5Department of Rheumatology, Guangzhou First People’s Hospital, Guangzhou, China |
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Keywords: Kidney, Diffusion Tensor Imaging, Lupus nephritis Lupus nephritis (LN) is a substantial cause of death in patients with systemic lupus erythematosus (SLE). The purpose of this study was to explore the value of Diffusion tensor imaging (DTI) in evaluating renal function in patients with early-stage LN. The results showed apparent diffusion coefficient (ADC) values in the cortex and fractional anisotropy (FA) values in the cortex and medulla were significantly lower in early-stage LN patients compared with healthy volunteers. Furthermore, FA values in the cortex and medulla were also independent predictors of early-stage LN, suggesting that FA values can be a potentially sensitive imaging biomarker. |
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Assessment of renal lipid deposition and abnormal oxygen metabolism of type 2 diabetes mellitus based on mDixon-Quant |
| Chun Yang1,2, Yishi Wang3, Wei Li1, and Yuxin Wang1,2 | ||
1The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China, 2Shandong First Medical University, Jinan, China, 3Philips Healthcare, Beijing, China |
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Keywords: Kidney, Endocrine, mDixon-Quant, type 2 diabetes mellitus, renal function mDixon-Quant adopts a multi-echo 3D fast GRE sequence that can be used to obtain fat fraction, T2* and R2* mapping in a single breath hold. The variation of deoxyhemoglobin in the kidney can reflect the oxygen metabolism in patients with diabetic nephropathy under pathological and physiological conditions. FF maps can be used for fat quantification. mDixon-Quant provides the assessment both fat metabolism and oxygen metabolism of the kidney at the same time and may be valuable in detecting changes in renal function and pathology. |
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Evaluation of renal allograft function using arterial spin labeling and blood oxygen level-dependent imaging |
| Jin Peng1,2, Yajun Hong3, Feipeng Zhu4, Yanjun Li4, Song Luo5, Pu-Yeh Wu6, and Guangming Lu1,5 | ||
1The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China, 2Department of Interventional Therapy, Chenggong Hospital, Xiamen University, Xiamen, Fujian, China, 3Office of Medical Case Statistics, Department of Medical Affairs, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, Fujian, China, 4Department of Radiology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu, China, 5Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China, 6GE Healthcare, Beijing, China |
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Keywords: Kidney, Quantitative Imaging, Arterial spin labelling, Blood oxygen level-dependent imaging, Renal allograft In this study, we aimed to assess the renal allografts function after transplantation using ASL and BOLD MRI. We found that RBF and R2* values were significantly lower and higher in the renal transplant injury group, respectively. RBF and R2* were positively and negatively correlated with eGFR, respectively. ROC analysis demonstrated both RBF and R2* reflected injured renal function, and the combination of RBF and R2* showed an AUC of 0.86, comparable to that of RBF alone. In conclusion, compared to BOLD, ASL may be a more promising imaging technique for noninvasive assessment of renal graft function for clinical purposes. |
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The feasibility of amide proton transfer imaging at 3T for renal masses: a preliminary study |
| Yun Xu1, Qingxuan Wan1, Xihui Ren1, Fang Wang1, Aijun Shen1, Peng WU2, and Peijun Wang1 | ||
1Tongji Hospital, School of Medicine, Tongji University, Shanghai, China, 2Philips Healthcare, Shanghai, China |
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Keywords: Kidney, CEST & MT, amide proton transfer,RCC This study aims to assess the feasibility of amide proton transfer-weighted (APTw) imaging in depicting renal lesions and its ability to differentiate malignant from benign tumors. The results show that APTw can be used to discriminate renal tumors from normal kidney tissues, as well as to identify benign and malignant renal tumors. However, the technique still needs to be improved to reduce artifacts. |
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Preliminary exploration of the influence of demographic characteristics on 3D-APTw imaging of right normal kidney |
| Gang Tian1, Xia Wang1, Ruirui Ma1, Wei Zhang1, Na Zhao1, Min Jia1, Chanjuan Yu1, Xiuzheng Yue2, Queenie Chan2, and Yuedong Han1 | ||
1Department of Radiology, Xi'an GaoXin Hospital, Xi'an Jiao Tong University, Xi'an, Shaanxi, China;, Xi'an, China, 2Philips Healthcare, Beijing, China |
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Keywords: Kidney, CEST & MT APTw imaging is able to detect free protein and peptide molecules in cells non-invasively. The aim of this study was to investigate the influence of age, gender and BMI on the APT values of right normal kidney. The results showed that there was a low correlation of APT values and age or BMI; and the male mean APT values was lower than that in female. The influence of age, gender and BMI factors should be taken into account in scientific research and clinical application of renal APTw imaging. |
| 3816 | Computer 57
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3D free-breathing renal DCE MRI with high spatial and temporal resolution using Multitasking |
| Qing Liu1, Qi Liu2, Jing Li1, Zhongqi Zhang2, Jian Xu2, Jeff L Zhang3, and Haoran Sun4 | ||
1Radiology, Beichen Hospital, Tianjin, China, 2UIH America, Inc., Houston, TX, United States, 3School of Biomedical Engineering, ShanghaiTech University, Shanghai, China, 4Radiology, Tianjin Medical University General Hospital, Tianjin, China |
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Keywords: Kidney, DSC & DCE Perfusion A 3D, free-breathing renal DCE MRI technique is developed using MRI Multitasking. It produces motion-resolved, high spatial and temporal resolutions images, thus does not require image registration post-processing. The feasibility of this technique in renal DCE MRI is evaluated on healthy subjects. |
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Assessment of the relationship between APTw values and R2* and PDFF values in renal tumor |
| Xia Wang1, Ruirui Ma1, Wei Zhang1, Na Zhao1, Gang Tian1, Chanjuan Yu1, Xiuzheng Yue2, and Yuedong Han1 | ||
1Department of Radiology, Xi'an GaoXin Hospital, Xi'an, China, 2Philips Healthcare, Beijing, China |
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Keywords: Kidney, CEST & MT Renal tumors are often containing lipid components, ischemic-hypoxia and hemorrhage. These components can be reflected by the proton density fat fraction (PDFF) and R2* levels of the mDIXON_Quant. Amide proton transfer-weighted (APTw) imaging has made breakthroughs in tumor research, however, its signal intensity is affected by many factors. This study focused on the effect of PDFF and R2* values on APTw values in renal tumors. The preliminary results showed that renal tumor APT values were correlated with PDFF and R2* values. Thus, precision APTw imaging studies of renal tumors need to consider the effects of differential composition. |
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Preliminary exploration of the influence of B0 drift caused by the change of examination orientations on renal APT images |
| Wei Zhang1, Xia Wang1, Ruirui Ma1, Na Zhao1, Gang Tian1, Chanjuan Yu1, Min Jia1, Xiuzheng Yue2, and Yuedong Han1 | ||
1Department of Radiology, Xi'an GaoXin Hospital, Xi'an, China, 2Philips Healthcare, Beijing, China |
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Keywords: Kidney, CEST & MT Amide proton transfer-weighted (APTw) is a promising molecular imaging technique that has been employed in clinics for the detection and grading of tumors. APT value is easily influenced by B0 inhomogeneity causing image artifacts; This variation becomes more complex in abdominal motion organs than that in the brain. This study focused on the effect of variation in B0 field drift with different examination orientations on renal APT image quality. The results showed when head-first and foot-first scanning were used on 3D-APT imaging of normal kidneys, the change of B0 drift on the quality of renal APT image should be noticed. |
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Abnormal functional connectivity of the hippocampus and amygdala in plateau Tibetan with type 2 diabetes mellitus |
| Jinli Meng1,2,3, Yingxue Gao2, Hailong Li2, Lingxiao Cao2, Wanlin He1, Li Feng1, Yongyue Guo1, Xin Hu1, Hengyan Li1, Chenghui Zhang4, Yunhong Wu4, and Xiaoqi Huang2,3 | ||
1Department of Radiology, Hospital of Chengdu Office of People’s Government of Tibetan Autonomous Region (Hospital. C.T.), Chengdu, Sichuan, China, 2Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China, 3Psychoradiology Research Unit of the Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, Chengdu, Sichuan, China, 4Department of Endocrinology and Metabolism, Hospital of Chengdu Office of People’s Government of Tibetan Autonomous Region (Hospital. C.T.), Chengdu, Sichuan, China |
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Keywords: Endocrine, Diabetes We performed a seed-based rsFC study to explore the hippocampus and the amygdala FC patterns in plateau Tibetan patients with T2DM. We found that, compared to plateau Tibetan HC, T2DM showed both increased rsFC between the right hippocampus and left DLPFC and left SFG, and between the left amygdala and right OFC as well as right DLPFC.Moreover, these rsFC abnormalities were significantly correlated with age, RBC and changes of visuospatial memory function in plateau Tibetan patients with T2DM. These findings of altered FC may provide important insights into the neural basis of diabetes-related cognitive decline in plateau Tibetan. |
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Unpaired Super-Resolution for Anisotropic MRI using a Gradient Mapping Adversarial Loss |
| Michele Pascale1, Vivek Muthurangu1, Javier Montalt Tordera1, and Jennifer Steeden1 | ||
1University College London, London, United Kingdom |
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Keywords: Digestive, Body We present a novel approach to synthesise high-resolution isotropic 3D abdominal MR images, from anisotropic 3D images in an unpaired fashion. Using a modified CycleGAN architecture with a novel gradient mapping loss, we leverage disjoint patches from the high-resolution (in-plane) data of an anisotropic volume to enforce the network generator to increase the resolution of the low-resolution (through-plane) slices. This will enable accelerated whole-abdomen scanning with high-resolution isotropic images within short breath-hold times. |
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MR Elastography Distinguishes Between Adrenal Adenomas and Malignomas by Increased Stiffness |
| Alexandra Webster1, Agata Dukaczewska2, Martina Mogl2, Tom Meyer1, Bernd Hamm1, Ingolf Sack1, and Stephan Marticorena Garcia1 | ||
1Department of Radiology, Charité - Universitaetsmedizin Berlin, Germany, Berlin, Germany, 2Department of Surgery, Charité - Universitaetsmedizin Berlin, Germany, Berlin, Germany |
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Keywords: Endocrine, Elastography, Adrenal Gland, Multifrequency magnetic resonance elastography, Adrenal stiffness, Shear wave speed, Viscoelasticity The ability to distinguish a benign from a malignant adrenal mass based on magnetic resonance imaging relaxation times is severely limited. For the first time at all, this study adrenal gland stiffness was investigated by using magnetic resonance elastography in healthy controls and participants with adrenal adenoma and malignoma. In healthy controls MRE was highly reproducible. Adrenal adenoma and malignoma are stiffer than healthy controls and both could be distinguished by an excellent diagnostic performance (AUC 0.8–1.0). MRE is promising non-invasive biomarker for clinically difficult differentiation of a malignancy and could prevent surgical overtreatment in the future. |
| 3977 | Computer 44
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Usefulness of quantitative MRI in the evaluation of pancreatic fibrosis |
| Hidemitsu Sotozono1, Akihiko Kanki1, Yoshihiko Fukukura1, Kiyoka Maeba1, Akira Yamamoto1, and Tsutomu Tamada1 | ||
1Department of Radiology, Kawasaki Medical School, Kurashiki, Japan |
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Keywords: Pancreas, Pancreas We sought to clarify the value of quantitative MRI for evaluating pancreatic fibrosis. Longer T1 relaxation time and lower D within the pancreas parenchyma were significantly related to pancreatic fibrosis score based on histopathological evaluation. T1 relaxation time and D may be sensitive indicators of fibrosis within the pancreas parenchyma. |
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Multiparametric quantitative MRI of Healthy Adult Pancreas: Correlations with Gender and Age |
| Lixia Wang1, Lu Liang2, Jiyang Zhang2, Yang Zhou2, Yang Yu2, Chen Zhang3, Tao Jiang2, Qi Yang2, Christie Jeon4, Srinivas Gaddam5, Stephen J Pandol5, Yibin Xie1, and Debiao Li1 | ||
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Radiologic department, Beijing Chaoyang Hospital, Captial Medical University, Beijing, China, 3MR Scientific Marketing, Siemens Healthcare, Beijing, China, 4Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 5Division of Digestive and Liver Diseases, Cedars-Sinai Medical Center, Los Angeles, CA, United States |
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Keywords: Pancreas, Quantitative Imaging, T1 value, T2 value, ADC value The pancreas plays an important role in nutrition and metabolism of the whole body. Changes of pancreatic morphology and function are related to many diseases. Multiparametric MR provides quantitative information about pancreatic morphology and function. In this work, we measured the normal range of T1, T2, and ADC values for different gender and age groups, and found significant differences between age groups. Gender difference was only found in T2. There are negative correlations between T2/ADC and age, and positive correlation between T1 and age. |
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Age-related changes in normal adult pancreatic parenchyma: multiparametric MR imaging evaluation |
| Akihiko Kanki1, Yoshihiko Fukukura1, Hidemitsu Sotozono1, Kiyoka Maeba1, Atsushi Higaki1, Akira Yamamoto1, and Tsutomu Tamada1 | ||
1radiology, Kawasaki Medical School, kurashiki, Japan |
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Keywords: Pancreas, Pancreas We evaluated relationships of age and gender with shifted apparent diffusion coefficient (sADC), proton density fat fraction (PDFF), T1 relaxation time, and pancreas size using 3-T MRI. sADC increased and anterior-posterior diameter decreased with age, while T1 relaxation time and PDFF showed no correlations with age. These results would offer beneficial information regarding pancreatic imaging. |
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Impact of genotype on pancreatic iron overload and impaired glucose metabolism in thalassemia major. |
| Antonella Meloni1, Laura Pistoia1, Vincenzo Positano1, Nicolò Schicchi2, Gennaro Restaino3, Luigi Barbuto4, Ada Riva5, Giuseppe Peritore6, Letizia Tedesco7, Angela Ermini8, Domenico Visceglie9, Costanza Bosi10, Paola Maria Grazia Sanna11, and Filippo Cademartiri1 | ||
1Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy, 2Azienda Ospedaliero-Universitaria Ospedali Riuniti "Umberto I-Lancisi-Salesi", Ancona, Italy, 3Gemelli Molise SpA, Fondazione di Ricerca e Cura "Giovanni Paolo II", Campobasso, Italy, 4Azienda Ospedaliera di Rilievo Nazionale Antonio Cardarelli, Napoli, Italy, 5Ospedale “SS. Annunziata” ASL Taranto, Taranto, Italy, 6"ARNAS" Civico, Di Cristina Benfratelli, Palermo, Italy, 7Presidio Ospedaliero Locri - A.S.P di Reggio Calabria, Locri (RC), Italy, 8Ospedale S. Maria Annunziata, Bagno a Ripoli (FI), Italy, 9Ospedale “Di Venere”, Bari, Italy, 10Ospedale “G. Da Saliceto”, Piacenza, Italy, 11Azienda Ospedaliero-Universitaria di Sassari, Sassari, Italy |
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Keywords: Pancreas, Tissue Characterization On the basis of the type of gene mutation, three groups of patients with thalassemia major were identified: homozygotes β+, compound heterozygotes β+/β° and homozygotes β°. β0β0 patients were more likely to have pancreatic iron overload than both β+β+ patients and β0β+patients and had a double risk of alterations of glucose metabolism compared to β+β+ patients. Our findings support the knowledge of the different genotypic groups in the clinical management of β-TM patients. |
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Role of tomoelastography in evaluation for pancreatic fistula after pancreaticoenteric anastomosis |
| Siya Shi1, Liqin Wang1, Jiaxin Yuan1, Xuefang Hu1, Xingyan Xie1, Tingting Wen1, Jinhui Yu1, and Yanji Luo1 | ||
1The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China |
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Keywords: Pancreas, Surgery, Magnetic resonance elastographies, Pancreatectomy, Pancreatic fistula This prospective study enrolled the patients who underwent both preoperative tomoelastography and pancreaticoenteric anastomosis. Eighty-two patients were included (median age: 59.5 years, 40 men, 18 patients with POPF). Main pancreatic duct diameter (MPDD) (P=0.012), c (P<0.001) and φ (P=0.001) were relevant factors for POPF. The area under the curve (AUC) of c, φ and MPDD for predicting POPF was 0.880, 0.816 and 0.747. Fibrosis was the relevant factor of POPF (P=0.001). There was positive correlation between fibrosis and stiffness (r=0.681, P<0.001). Tomoelastography is a novel and robust multi-frequency MRE technique that can facilitate the prediction of POPF. |
| 3982 | Computer 49
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Modified reduced FOV diffusion-weighted MRI using tilted 2D RF excitation pulses in patients with pancreatic ductal adenocarcinoma |
| Masahiro Tanabe1, Mayumi Higashi2, Keiko Hideura2, Kenichiro Ihara2, Thomas Benkert3, Hiroshi Imai4, Masatoshi Yamane5, Takahiro Yamaguchi6, Atsuo Inoue2, and Katsuyoshi Ito2 | ||
1Department of Radiology, Yamaguchi University Graduate School of Medicine, Ube, Japan, 2Radiology, Yamaguchi University Graduate School of Medicine, Ube, Japan, 3MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 4MR Research and Collaboration, Siemens Healthcare K.K., Tokyo, Japan, 5Department of Radiological Technology, Yamaguchi University Hospital, Ube, Japan, 6Yamaguchi University Hospital, Ube, Japan |
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Keywords: Pancreas, Diffusion/other diffusion imaging techniques This study evaluated the image quality of modified reduced field-of-view (FOV) DWI using 2D spatially-selective RF pulses with tilted excitation plane (tilted r-DWI) for pancreatic ductal adenocarcinomas (PDACs) compared with conventional full-FOV DWI (f-DWI). Two radiologists evaluated the MR image quality, and SNR, CNR, and ADC values of the pancreatic lesions were quantitatively assessed. Image quality scores and CNR of tilted r-DWI were significantly higher than that of f-DWI. The ADC values of PDACs showed no significant deference between them. Tilted r-DWI provides better image quality with less artifacts and higher pancreatic lesion conspicuity than f-DWI. |
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Convex Optimized Diffusion Encoding (CODE) with M1-Nulling for Pancreatic Diffusion Weighted Imaging |
| Kang Wang1, Matthew J. Middione1, Andreas Markus Loening1, Daniel Ennis1, and Ryan Lennex Brunsing1 | ||
1Radiology, Stanford University, Palo Alto, CA, United States |
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Keywords: Pancreas, Diffusion/other diffusion imaging techniques, Diffusion Weighted Imaging, M1-nulled, ADC Multi-shot DWI reduces image distortion while increasing SNR. More recently, motion-compensated diffusion encoding has been shown to reduce artifacts and improve ADC consistency in single-shot DWI. Motion-compensated multi-shot pancreatic DWI may also mitigate artifacts arising from shot-to-shot incoherence. Herein, we conducted a pilot study of multi-shot DWI of the pancreas with and without motion-compensated diffusion encoding. Image quality and artifacts were scored by expert radiologists. ADC values of different pancreatic anatomical segments were computed. Multi-shot DWI with motion-compensated gradient encoding increased homogeneity of signal intensity and ADC values across the pancreas. |
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MR Elastography of the affected mesenteric fat in active Crohn’s Disease: a feasibility study |
| Anne-Sophie van Schelt1,2, Kim Johanna Beek1,3, Nienke Petronella Maria Wassenaar1, Eric M. Schrauben1, Jurgen H. Runge1, Aart J. Nederveen1, and Jaap Stoker1,2,3 | ||
1Radiology and Nuclear Medicine, AmsterdamUMC, location AMC, Amsterdam, Netherlands, 2Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, Netherlands, 3Endocrinology, Metabolism, Amsterdam Gastroenterology, Amsterdam, Netherlands |
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Keywords: Digestive, Quantitative Imaging Crohn’s Disease (CD) is a chronic inflammatory bowel disease. Mesentery of afflicted bowel loops often is involved. MR-Elastography allows assessment of its underlying mechanical properties and gives more insight in the role of the mesentery . Feasibility was first shown in 15 healthy volunteers. Seven patients with active CD (aCD) scheduled for surgical intervention underwent pre-operative MR-Elastography acquisition and histopathological analysis. Seven age- and sex matched volunteers were also scanned. Significantly higher shear wave speed, shear stiffness and phase angle were found in aCD patients, possibly related to increased fibrotic tissue in or inflammation of the mesentery. |
| 3985 | Computer 52
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Novel method for quantifying pancreatic exocrine function from Secretin-MRCP |
| Alexander R Guimaraes1, Joyce Kim2, Kaveh Sharzehi3, Gregory Cote3, Lisa Wang1, Bryan Foster1, and Cory Wyatt1 | ||
1Radiology, OHSU, Portland, OR, United States, 2OHSU, Portland, OR, United States, 3Medicine, OHSU, Portland, OR, United States |
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Keywords: Pancreas, Data Analysis Chronic pancreatitis is a chronic fibro-inflammatory syndrome of the pancreas that often leads to exocrine pancreatic insufficiency EPI. Secretin MRCP provides an approach for quantifying function. Present interpretation of sMRCP lends itself to variability in interpretation . Further, previous approaches for quantitative assessment of sMRCP have been difficult to reproduce. We have developed a mathematical model for quantifying various features of dynamic sMRCP and have shown in a retrospective cohort, significant differences in one feature that correlates to delay of pancreatic production of fluid, to separate and correlate to ePFT and FE. 9 |
| 3986 | Computer 53
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Accelerated 3D free-breathing MRCP using Relaxation-Enhanced MAgnetization-prepared radial stack-of-STARs (REMASTAR) and Compressed SENSE |
| Hiroshi Hamano1, Masami Yoneyama1, Masahiro Enzaki2, Minako Azuma3, Nobuyuki Toyonari4, and Takashi Namiki1 | ||
1Philips Japan, Tokyo, Japan, 2Division of Radiology, Miyazaki University Hospital, Miyazaki, Japan, 3Department of Radiology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan, 4Department of Radiology, Kumamoto Chuo Hospital, Kumamoto, Japan |
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Keywords: Pancreas, Pancreas, MRCP 3D TSE RT is commonly used to MRCP imaging. But the image qualities of them are unstable especially in patients with irregular respiratory motion and tachypnea. A T2-prepared pulse is often used to emphasize long T2 component such as CSF, bile, and pancreatic duct. A 3D VANE has been applied in abdominal imaging as a useful free-breathing technique. We attempted to combine bTFE based on 3D VANE with magnetization T2prep pulses (3D REMASTAR) for MRCP instead of, otherwise in addition to 3D TSE RT. We have demonstrated the feasibility of 3D REMASTAR MRCP particularly in subject with unstable respiratory motion. |
| 3987 | Computer 54
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Z-spectrum Imaging of Bowel Wall Fibrosis in Crohn's Disease |
| Nabeelah Jinnah1, Olivier Mougin1, Penny Gowland1, Caroline Hoad1, Lauren Gascoyne1, Christopher Clarke2, and Gordon Moran1 | ||
1University of Nottingham, Nottingham, United Kingdom, 2Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom |
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Keywords: Digestive, CEST & MT Z-spectrum imaging was performed on bowel wall from Crohn's disease patients, to determine it's potential as a method of determining the fibrotic component of scarred bowel wall. Results show that there is a difference between the MT amplitude and linewidth of healthy compared with strictured bowel wall. Future work will involve optimising a protocol to use as a imaging biomarker of the fibrosis within bowel wall in Crohn's disease. |
| 3988 | Computer 55
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Amide Proton Transfer MRI for Treatment Response of Locally Advanced Rectal Cancer Following Neoadjuvant Chemotherapy and Radiation Therapy |
| Lan Zhang1, Xin Li1, Peng Sun2, and Fan Yang1 | ||
1Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Techonology, Wuhan, China, 2Philips Healthcare, Beijing, China, Beijing, China |
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Keywords: Digestive, Cancer We conducted this prospective study to determine whether APTw imaging is precise in evaluating treatment response of LARC after NCRT, by comparing the accuracy of evaluation using APTw imaging to that of T2-weighted imaging and DWI, which is value for the selection of organ preservation candidates. |
| 3989 | Computer 56
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Application of natural language processing to post-structuring of rectal cancer MRI reports |
| Wenjuan Liu1 | ||
1Beijing Aviation General Hospital, Beijing, China |
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Keywords: Pelvis, Cancer We applied natural language processing (NLP) to the extraction of relevant information from MRI reports of rectal cancer written in Chinese. We used 358 MRI reports written between 2015 and 2021 to develop a rule-based NLP model to extract 11 key image features. The accuracy, precision, recall, and F1 score of our NLP model for correct extraction of values from reports were 93.82%, 95.63%, 87.06%, and 91.15% for pre-2015 reports, and 92.55%, 98.53%, 94.15%, and 96.29% for post-2021 reports. Our NLP system with rule-based pattern matching realized the rapid and accurate structured processing of rectal cancer MRI reports. |
| 3990 | Computer 57
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Diffusion-weighted MRI of rectal cancers: Utility of reduced FOV single-shot EPI with tilted 2D RF excitation pulses |
| Atsuo Inoue1, Masahiro Tanabe1, Kenichiro Ihara1, Keiko Hideura1, Thomas Benkert2, Hiroshi Imai3, Masatoshi Yamane4, Takahiro Yamaguchi4, Mayumi Higashi1, and Katsuyoshi Ito1 | ||
1Department of Radiology, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan, 2MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 3MR Research and Collaboration, Siemens Healthcare K.K., Tokyo, Japan, 4Department of Radiological Technology, Yamaguchi University Hospital, Yamaguchi, Japan |
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Keywords: Pelvis, Diffusion/other diffusion imaging techniques, Rectum This study evaluated the image quality of reduced FOV DWI using 2D spatially-selective RF pulses with tilted excitation plane (tilted r-DWI) for rectal cancer compared with full-FOV DWI (f-DWI) using readout segmented echo-planar imaging (RS-EPI). Two radiologists evaluated the MR images, and SNR, CNR, and ADC values of the rectal lesions were quantitatively evaluated. All image quality scores and CNR were significantly higher in tilted r-DWI than in f-DWI with RS-EPI. SNR and ADC values showed no significant deference between them. Tilted r-DWI provides better image quality with less artifacts and higher rectal lesion conspicuity than f-DWI with RS-EPI. |
| 3991 | Computer 58
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Prediction for P53 Status Using Intravoxel Incoherent Motion Imaging in Rectal Cancer |
| Deshuo Dong1, Anliang Chen1, Changjun Ma1, Ailian Liu1, and Qingwei Song1 | ||
1radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Pelvis, fMRI Mutant P53 promotes tumor cell proliferation, invasion, and resistance to chemotherapy. The purpose of this study was to evaluate the value of intravoxel incoherent motion (IVIM) imaging for prediction of P53 expression status in rectal cancer. The results indicate that D and f values for positive P53 status were significantly lower than those for negative P53 status, while D* was higher. The combination of D, D* and f improved diagnostic efficiency than single parameters. IVIM imaging allows non-invasive visualization and quantification of tissue composition for prediction of P53 status in rectal cancer. |
| 3992 | Computer 59
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The value of DWI and T2 mapping in evaluating lymphatic vascular invasion of rectal cancer |
| Xiwei Li1, Anliang Chen1, Nan Wang1, Jiazheng Wang2, Liangjie Lin2, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare,Beijing, Beijing, China |
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Keywords: Digestive, Cancer Lymphatic vascular invasion（LVI）can help clinicians choose the best treatment strategy for patients. Pathological examination is the gold standard for the diagnosis of LVI in rectal cancer, but it is an invasive method. Multiparametric magnetic resonance imaging is valuable for the prediction of LVI in rectal cancer. In this study, we quantitatively evaluated the value of LVI in rectal cancer using T2 mapping and DWI sequences. |
| 3993 | Computer 60
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Synthetic magnetic resonance quantitative relaxation maps for preoperative staging of rectal cancer |
| Wenguang Liu1, Yigang Pei1, Weiyin Vivian Liu2, Xiao Wang1, Yu Bai1, Yijing Luo1, Gaofeng Zhou1, and Wenzheng Li1 | ||
1Radiology, XiangYa Hospital, Central South University, Changsha, China, 2MR research, GE Healthcare, Beijing, China |
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Keywords: Cancer, Quantitative Imaging To preoperative assessment of tumor and node staging for rectal cancer patients is very important. This study aimed to investigate the feasibility of predicting pathological TN staging with synthetic MRI quantitative relaxation maps for rectal cancer patients. A total of 123 patients were identified in this study. Our results showed that the T1 and T2 values from synthetic MRI can distinguish effectively between pT1-2 and pT3-4 group, pN- and pN+ group, which is vital to selection of therapy strategy for rectal cancer patients. |
| 4110 | Computer 21
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Assessment of Alcoholic Impact on Multiple Organs by Dual-frequency Dual-driver Abdominal MR Elastography (MRE) |
| Jiahui Li1, Nana K. Owusu1, Kevin J. Glaser1, Yi Sui1, Douglas A. Simonetto2, Armando Manduca1, Sudhakar K. Venkatesh1, Vijay H. Shah2, Richard L. Ehman1, and Meng Yin1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States |
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Keywords: Digestive, Digestive We performed dual-frequency dual-driver abdominal MR Elastography (MRE) on 11 patients with alcoholic hepatitis (AH), and 6 healthy volunteers without known histories of chronic alcohol consumption. Two flexible drivers were placed over the anterior abdominal wall to deliver sufficient shear wave propagation in multiple abdominal organs at two different mechanical frequencies. The liver stiffness (LS) and spleen stiffness (SS) calculated from MRE at 60Hz, and pancreas stiffness derived from 30Hz, all significantly increased in patients with AH, compared with controls. This pilot study indicates the feasibility of dual-frequency dual-driver abdominal MRE to assess the alcoholic impact on multiple organs. |
| 4111 | Computer 22
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Comparing supraclavicular brown adipose tissue fat fraction changes between mild cold and thermoneutrality in healthy adults |
| Robin van Eenige1, Aashley S.D. Sardjoe Mishre1, Maaike E. Straat1, Borja M. Martinez-Tellez1, Mariëtte R. Boon1, Oleh Dzyubachyk1, Andrew G. Webb1, Patrick C.N. Rensen1, and Hermien E. Kan1 | ||
1Leiden University Medical Center, Leiden, Netherlands |
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Keywords: Endocrine, Fat, Supraclavicular brown adipose tissue Brown adipose tissue (BAT) is considered a therapeutic target in cardiometabolic health for its capacity to combust triglyceride-derived fatty acids into heat. Previous MRI studies consistently reported reductions in fat fraction (FF) in supraclavicular BAT (scBAT) after cold exposure. However, there is limited research on the validity of this outcome against thermoneutral conditions. We compared scBAT FF dynamics and thermal perception scores between mild-cold and thermoneutrality. Cold exposure decreased scBAT ΔFF (-0.73±0.19%), accompanied with colder thermal perceptions during cooling. At thermoneutrality, two out of three participants also showed a scBAT ΔFF decrease (-0.39±0.06%), yet normal thermal perceptions were reported. |
| 4112 | Computer 23
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Metabolic Profiling of Small Intestinal Mucosa of patients with Celiac Disease and their Family members by NMR Spectroscopy |
| Uma Sharma1, Deepti Upadhyay1, Prasenjit Das 2, and Govind K Makharia3 | ||
1Department of Nuclear Magnetic Resonance, All India Institute of Medical Sciences, New Delhi, NEW DELHI, India, 2Department of Pathology, All India Institute of Medical Sciences, New Delhi, NEW DELHI, India, 3Department of Gastroenterology & Human Nutrition, All India Institute of Medical Sciences, New Delhi, NEW DELHI, India |
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Keywords: Digestive, Body, Celiac disease, Metabolomics, First Degree Relative Celiac Disease, Biomarker, Pathophysiology, NMR Spectroscopy The present study demonstrated distinct metabolic features of intestinal mucosa biopsies in first-degree relatives (FDRs) of patients with celiac disease (CeD) patients and disease controls (DC) using proton NMR spectroscopy. FDRs had significantly lower levels of proline and allantoin while higher levels of 7 metabolites compared to CeD patients. The results showed a higher concentration of glucose, fumarate, tyrosine, and formate in the FDRs as compared to CeD and DC indicating altered energy metabolism and gut microbiome of FDRs. The obtained results may provide insight into the underlying mechanism involved in the pathophysiology of CeD patients. |
| 4113 | Computer 24
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Value of BOLD MR in early evaluating the response and prognosis of esophageal squamous cell carcinoma treated with definitive chemoradiotherapy |
| Huanhuan Zheng1, Hailong Zhang1, Yan Zhu1, Xiaolei Wei1, Song Liu1, and Wei Ren2 | ||
1Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China, 2The Comprehensive Cancer Center of Drum Tower Hospital, Medical School of Nanjing University and Clinical Cancer Institute of Nanjing University, Nanjing, China |
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Keywords: Digestive, fMRI To confirm a quantitative imaging predictor for evaluation of early treatment response and prognosis to definitive chemoradiotherapy (dCRT) in patients with esophageal squamous cell carcinoma , using BOLD MR images. R2* values were obtained pre- and post-dCRT in 28 patients using BOLD MR. Independent samples t-test (normality) or Mann-Whitney U test (non-normality) was used to compare differences of R2*-related parameters between CR and non-CR groups. Diagnostic performance of parameters in predicting response was tested with receiver operating characteristic curve analysis. 3-years overall survival (OS) was evaluated using by Kaplan Meier curve, log rank test, and Cox proportional hazards regression analysis. |
| 4114 | Computer 25
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Comparison and combination of CT and MRI radiomics for early prediction of pathological response to neoadjuvant chemotherapy in gastric cancer |
| Jing Li1, Hongkun Yin2, Jinxia Guo3, and Jinrong Qu4 | ||
1Radiology, the Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou, China, 2Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, China, 3GE Healthcare, MR Research China, Beijing, Beijing, China, 4the Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou, China |
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Keywords: Digestive, Radiomics, Gastric cancer; Computed tomography, X-rayed; Neoadjuvant chemotherapy To compare and combine CT and multi-parametric MRI (mp-MRI) radiomics for early prediction of pathologic response to neoadjuvant chemotherapy (NAC) in locally advanced gastric cancer (LAGC). The CT radiomics model, mp-MRI radiomics model and the combined nomogram were all associated with pathologic response. The multi-modal nomogram containing both CT and MRI radiomics scores exhibited added predictive ability and was linked to patients’ outcome. The CT and MRI radiomics model exhibited equivalent capability. This study proposed a multi-modal radiomics nomogram by incroperating concurrent CT and MRI images, which presents favorable efficacy in predicting treatment response to NAC in LAGC. |
| 4115 | Computer 26
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Identifying the Metabolic Signatures of PPARD-Overexpressing Gastric Tumors by HP MRI and Metabolomics |
| Shivanand Pudakalakatti1, Mark Titus2, Imad Shureiqi3, Xiangsheng Zuo4, and Pratip Bhattacharya1 | ||
1Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, United States, 2Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States, 3University of Michigan, Ann Arbor, MI, United States, 4Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States |
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Keywords: Digestive, Hyperpolarized MR (Non-Gas), 13C Pyruvate, Metabolomics Peroxisome proliferator-activated receptor delta (PPARD) is a ligand-dependent nuclear transcription factor that regulates a multiplicity of pathophysiological processes vital to cell metabolism. Recent discovery of PPARD overexpressed in villin-positive gastric progenitor cells, demonstrated spontaneous development of large, invasive gastric tumors as the mice aged. These unique animal models allowed us to address the knowledge gap of PPARD-regulated downstream metabolic changes and determine the significance of changes in gastric tumorigenesis by hyperpolarized MRI, NMR spectroscopy and LC-MS. Unlike many cancer systems, we found these gastric cancer tumors are not primarily dependent on aerobic glycolysis but on fatty acid oxidation for energy. |
| 4116 | Computer 27
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Deep Learning-accelerated, Single-breath-hold T2-weighted Imaging for Tumor Invasion Assessment in Gastric Cancer |
| Wei-Yue Xu1, Qiong Li1, Ya-Jun Hou1, Yi-Cheng Hsu2, Dominik Nickel3, Yu-Dong Zhang1, and Xi-Sheng Liu1 | ||
1Department of Radiology, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China, 2MR Collaboration, Siemens Healthineers Ltd, Shanghai, China, 3MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: Contrast Mechanisms, Contrast Mechanisms, deep learning-accelerated T2WI T2-weighted imaging (T2WI) is an indispensable sequence of gastric magnetic resonance imaging (MRI) for tumor assessment. This study compared the deep learning-accelerated T2WI sequence (DL-T2WI) with BLADE T2WI in image quality assessment and tumor invasion evaluation of gastric cancer (GC). It revealed that DL-T2WI, acquired within a single-breath-hold, performed better than BLADE T2WI in terms of image quality for both quantitative and qualitative analyses. Furthermore, DL-T2WI images displayed comparable accuracy to BLADE T2WI images for serous invasion evaluation. The study suggests that DL-T2WI might be superior to BLADE T2WI for GC. |
| 4117 | Computer 28
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Reproducibility and image quality of diffusion weighted imaging in volunteers with pancreas using different respiratory schemes |
| Yigang Pei1, Yu Bai1, Weiyin Vivian Liu2, Wenguang Liu1, and Wenzheng Li1 | ||
1Xiangya Hospital of the Central South University, China, China, 2GE Healthcare, MR Research China, Beijing, China, China |
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Keywords: Pancreas, Diffusion/other diffusion imaging techniques DWI is essential in clinical diagnosis of pancreas. Image quality highly influence ADC measurements. Pancreases in abdomen easily suffers from artifact induced by abdominal and chest respiratory motion. A new diffusion-weighted imaging (DWI) sequence was explored to better delineate pancreas in our previous study (named FOCUS-MUSE DWI). In this study, we compared the clinical utility of FOCUS-MUSE DWI, MUSE DWI, FOCUS DWI and SS DWI using four different breathing schemes (RT, NT, BH and FB) for the repeatability of apparent diffusion coefficient (ADC) measurements and image quality. Our results suggested that RT‑DWI provided the best ADC reproducibility and image quality among four breathing schemes on 3.0 T MRI, making it as the recommended protocol for clinical DWI of the pancreas. |
| 4118 | Computer 29
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Comparison of NATIVE-TrueFISP and 3D-SPACE in the magnetic resonance cholangiopancreatography of patients with ascites at 3T scanner |
| Lanbin Huang1, Jinglian Zhong2, Liping Liao1, Yingying Huang1, Zeping Liu3, Qingchun Li1, Qiceng Ruan1, Mingxia Tan1, Mengzhu Wang4, Shasha Liao5, Zehe Huang1, and Song Chen1 | ||
1Department of Radiology, The First People's Hospital of QinZhou, Qinzhou, China, 2Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China, 3School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, China, 4MR Scientific Marketing, Siemens Healthineers Ltd, Guangzhou, China, 5Department of Clinical Pharmacy, Maternity and Child Health care of Guangxi Zhuang Autonomous Region, Nanning, China |
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Keywords: Digestive, Biliary, MRCP To compare the image quality of NATIVE-TrueFISP and 3D-SPACE in the MRCP of patients with ascites at 3T scanner. 5 patients with ascites and another 5 patients without underwent conventional upper abdominal MRI and MRCP with two kinds of sequences: NATIVE-TrueFISP and 3D-SPACE. The image quality of the two MRCP methods were independently assessed by two readers. Image quality of 3D-SPACE was superior to TrueFISP in patients without ascites while the TrueFISP sequence achieved better duct visualization in patients with ascites. Native TrueFISP can be used as an optional fast imaging sequence for MRCP of patients with ascites. |
| 4119 | Computer 30
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5T MRI of the pancreas in comparison to 3T: An initial study |
| Liyun Zheng1,2,3, Chun Yang1,2, Yongming Dai4, and Mengsu Zeng1,2 | ||
1Shanghai Institute of Medical Imaging, Shanghai, China, 2Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China, 3Shenzhen United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China, 4MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: High-Field MRI, Pancreas Despite the growing clinical acceptability of magnetic resonance imaging (MRI) evaluation, continued efforts are required to increase the resolution and robustness of pancreatic imaging. The feasibility of pancreatic MRI at 5T was studied in this study, which used a brand-new 5T MR scanner. 5T pancreatic MRI exhibited greater signal-to-noise ratio (SNR) and sufficient image quality as compared to the 3T examination. Diffusion-weighted imaging (DWI) at 5T was sufficient for measuring the longitudinal pancreatic apparent diffusion coefficient (ADC). As a result, pancreatic MRI at 5T may be effective for diagnosing and managing pancreatic diseases. |
| 4120 | Computer 31
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Multiparametric MRI for Staging of Bowel Inflammatory Activity in Crohn's Disease with IVIM and DCE-MRI: A Preliminary Study |
| Jianguo Zhu1, Liangqiang Mao1, Yan Li1, Weiqiang Dou2, and Dmytro Pylypenko2 | ||
1Radiology, the Second Affiliated Hospital of Nanjing Medical University, Nanjing, China, 2MR Research China, GE Healthcare, Beijing, China |
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Keywords: Digestive, Diffusion/other diffusion imaging techniques In summary, our findings suggested that the combination of IVIM and DCE-MRI can be used to accurately stage CD lesions activity. However, we must acknowledge that further investigation area is warranted to validate this preliminary finding. |
| 4121 | Computer 32
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A comparative study of 2D SSFSE with deep learning based reconstruction and 3D FIESTA in the assessment of active inflammation in Crohn’s Disease |
| Yan Wang1, Jingyun Cheng1, Weiyin Vivian Liu2, and Yunfei Zha1 | ||
1Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China, 2MR Research, GE Healthcare, Beijing, China |
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Keywords: Digestive, Image Reconstruction Higher resolution and better image quality of 3D FIESTA sequence is used for evaluating bowel inflammation in CD; however, we found 2D SSFSEDLwith significantly higher SNR and CNR of ileum and terminal ileum than 3D FIESTA and, of course, conventional 2D SSFSE. 2D SSFSEDL shortened scan time and also offered better image quality than 3D FIESTA in assessment of bowel inflammation in CD. The SSFSE sequence alone has been considered sufficient in lesion detection[2]; SSFSE with DLR has great potential in elevation of detection rate without extra imaging time. |
| 4122 | Computer 33
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Clinical value of DWI combined with APT in differentiating rectal cancer from non-rectal cancer |
| Yaxin Niu1, Xiaoyan Lei1, Li Zhang1, Min Tang1, and Kai Ai2 | ||
1Shaanxi Provincial People's Hospital, XI'AN, China, 2Philips Healthcare, XI'AN, China |
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Keywords: Cancer, Diffusion/other diffusion imaging techniques We aimed to explore the diagnostic value of amide proton transfer-weighted (APTw) imaging combined with diffusion-weighted imaging (DWI) in differentiating rectal cancer from non-rectal cancer. The result showed that, compared with APTw or DWI (AUC=0.846 and 0.854, respectively), the highest diagnostic efficacy (AUC=0.967) was acquired using APTw combined with apparent diffusion coefficient (ADC) values. |
| 4123 | Computer 34
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Longitudinally Evaluation of Locally Advanced Rectal Carcinoma Treated with Preoperative Chemotherapy using Time-Dependent Diffusion MRI |
| Xiaoling Gong1, Yu Shen2, Xiaoxiao Zhang3, Zhigang Wu3, Ziqiang Wang2, and Bing Wu4 | ||
1Department of Radiology, West China Hospital, Sichuan University, Cheng du, China, 2Colorectal Cancer Center，Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China, 3Philips Healthcare, China, Beijing, China, 4Department of Radiology, West China Hospital, Sichuan University, Chengdu, China |
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Keywords: Cancer, Microstructure, rectal cancer The effectiveness of neoadjuvant Chemotherapy (NACT) is most commonly assessed by the change in tumor size based on conventional rectal cancer imaging. However, morphologic changes often occur later during treatment. Time-Dependent Diffusion MRI (TD MRI) is a novel MRI tool for depicting cellular microstructures. This study aimed to investigate the feasibility of Time-Dependent Diffusion MRI–based microstructural mapping for noninvasively characterizing cellular properties of LARC during NACT. |
| 4124 | Computer 35
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Comparation of DCE-MRI and dual-energy CT imaging in discriminating tumor deposits from lymph node metastasis in rectal cancer. |
| WEN JUN HU1, Anliang Chen1, and AIlian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Digestive, Cancer Tumor deposits (TDs) in rectal cancer have been shown to be an important marker of poor prognosis. Although very similar to lymph node metastasis (LNMs), TDs have unique features in terms of biology and outcome, suggesting that distinguishing between these two entities may be of great importance. Results of this study indicate iodine-based material-decomposition (MD) images and DCE-MRI can effectively differentiate TDs and LNMs in rectal cancer, and iodine-based MD images showed better diagnostic efficiency. |
| 4125 | Computer 36
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Amide proton transfer-weighted imaging histogram analysis to predict pathological extramural venous invasion in rectal adenocarcinoma |
| Weicui Chen1, Guoqing Liu1, Jialiang Chen1, Qiurong Wei1, Yongsong Ye1, Xiaohua Du1, Jiepin Feng1, Zhaoxian Yan1, Kan Deng2, and Xian Liu1 | ||
1The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China, 2Philips Healthcare, Guangzhou, China |
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Keywords: Digestive, Cancer, Rectal neoplasms This study evaluate amide proton transfer-weighted (APTw) derived whole-tumour histogram analysis parameters in predicting pathological extramural venous invasion (pEMVI) positive status of rectal adenocarcinoma (RA). The method is to calculate APTw histogram parameters between the pEMVI-negative and positive groups, assess the independent risk factors and diagnosis performance. Our results demonstrated that RA with pEMVI-positive status is associated with higher APTw-SI. The best prediction for EMVI involvement was obtained with a combined model of histopathological factors and APTw histogram parameters. Therefore, the APTw histogram analysis may represent a valuable non-invasive tool in predicting pEMVI positive status of RA. |
| 4126 | Computer 37
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Diffusion Kurtosis Imaging Combined with Intravoxel Incoherent Motion Imaging in Prediction of P53 Status in Rectal Cancer |
| Anliang Chen1, Deshuo Dong1, Changjun Ma1, Ailian Liu1, and Qingwei Song1 | ||
1radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Digestive, Pelvis Mutant P53 promotes tumor cell proliferation, invasion, and resistance to chemotherapy. The purpose of this study was to evaluate the value of combination of DKI and IVIM for prediction of P53 expression status in rectal cancer. The results indicate that the combination of MK and D* improved the diagnostic efficiency than single parameters. DKI and IVIM imaging allows non-invasive visualization and quantification of tissue composition for prediction of P53 status in rectal cancer. |
| 4127 | Computer 38
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A nomogram based on IVIM-DWI and Clinical parameters to Predict Survival of Rectal Cancer Patients after Radical Resection |
| Haodong Jia1 | ||
1Anhui Provincial Hospital Affiliated to Anhui Medical University, Hefei, China |
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Keywords: Pelvis, fMRI This is an abstract by Haodong Jia.
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| 4128 | Computer 39
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Evaluation of Diffusion Kurtosis Imaging in Prediction of P53 Expression in Rectal Cancer |
| Anliang Chen1, Deshuo Dong1, Changjun Ma1, Ailian Liu1, and Qingwei Song1 | ||
1radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Cancer, Cancer Mutant P53 promotes tumor cell proliferation, invasion, and resistance to chemotherapy. The purpose of this study was to evaluate the value of Diffusion Kurtosis Imaging (DKI) for prediction of P53 expression status in rectal cancer. The results indicate that positive P53 status group had significantly lower MD and higher MK values than negative P53 status group. DKI reflect a non-Gaussian phenomenon of water molecules within biologic tissues for prediction of P53 expression status in rectal cancer. |
| 4129 | Computer 40
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Prediction for Ki-67 Expression Using Intravoxel Incoherent Motion Imaging in Rectal Cancer |
| Anliang Chen1, Deshuo Dong1, Changjun Ma1, Ailian Liu1, and Qingwei Song1 | ||
1radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Cancer, Digestive The Ki-67 expression has been verified as a prognostic indicator in colorectal cancer, correlating with biological behavior of tumor and response to the chemotherapy. The purpose of this study was to evaluate the value of intravoxel incoherent motion (IVIM) imaging for prediction of Ki-67 expression status in rectal cancer. The results indicate that high Ki-67 status group had significantly lower ADC and D values than low Ki-67 status group. IVIM imaging allows non-invasive visualization and quantification of tissue composition for prediction of Ki-67 expression status in rectal cancer. |
| 4263 | Computer 1
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A Strategy of Whole Blood Metabolomics Based on Magnetic Resonance Spectroscopy by Mixing Blood with Silica Powder |
| Leo Ling Cheng1,2, Xiaoyu Wang3,4, Zehan Liu3,4, Jessica Duffy4, Abner Louissaint, Jr.2,4, and Panteleimon Takis5 | ||
1Radiology, Massachusetts General Hospital, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Nanjing University, Nanjing, China, 4Molecular Pathology, Massachusetts General Hospital, Boston, MA, United States, 5Imperial College London, London, United Kingdom |
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Keywords: Screening, Spectroscopy, Gelified Biofluids Currently, blood metabolomics analysis has to choose between serum and plasma: the former leaves blood in room temperature and therefore causing metabolic alterations; and the latter has interfering chemicals added during acquisition of samples, which make results complicated. Here, using HRMAS MRS, we studied gel samples of whole mouse blood by mixing them with silica powder. The obtained spectra agreed, in general, with the correlating serum samples, which proved the robustness of this method. Taking advantage of tiny amounts of samples (μl) and simple and rapid pretreatment, our new technique demonstrates a novel approach to metabolomic analysis and clinical applications. |
| 4264 | Computer 2
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Blood plasma metabolomics study of metastases prostate cancer patients reflects liver alterations involving carbon and nitrogen metabolism |
| Pradeep Kumar1, Rajeev Kumar2, Sanjay Thulkar3, Sanjay Sharma4, Maroof Ahmad Khan5, and Virendra Kumar1 | ||
1NMR and MRI Facility, AIIMS, New Delhi, India, 2Urology, AIIMS, New Delhi, India, 3Radiology , IRCH, AIIMS, New Delhi, India, 4Radiadiagnosis,RPC, AIIMS, New Delhi, India, 5Biostatistics, AIIMS, New Delhi, India |
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Keywords: Prostate, Blood, Metabolomics Prostate cancer (PCa) with metastases remains incurable diseases requiring early diagnosis and effective treatments. To investigate and integrate the blood plasma metabolomic profiles with clinical parameters to distinguish PCa patients with metastasis from those without bone metastasis using 1H-NMR spectroscopy for establishing potential biomarker/s. Significant changes in liver enzyme ALP, ALT, and AST levels were observed in metastatic PCa. Pathway analysis revealed dysregulation of nitrogen and carbon metabolism. The discovery of metabolites in blood associate with clinical parameters for understanding PCa related pathophysiological mechanisms of bone and liver metastases. |
| 4265 | Computer 3
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Comparison of multiplexed sensitivity encoding and single-shot diffusion-weighted echo-planar imaging of the lung: Preliminary study |
| Longjiang Fang1, Wenjing Zhao1, Yujing Chu1, Qi Wang1, and Dmytro Pylypenko2 | ||
1Department of Radiology, Weifang People's Hospital, Weifang, China, 2GE Healthcare, Beijing, China |
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Keywords: Lung, Diffusion/other diffusion imaging techniques This study aims to compare multiplexed sensitivity encoding (MUSE) and single-shot diffusion-weighted echo planar imaging (SS DWEPI) techniques in lung MRI. A total of 22 patients with lung lesions were recruited in the study. Qualitative parameters included anatomic details, suscepti-bility artifacts, and diagnostic confidence; quantitative parameters included SNR and ADC of the lesions. The statistical studies demonstrated results that prove MUSE can provide better anatomic detail, lower susceptibility artifacts, higher diagnostic confidence, and improved SNR of the lung. MUSE is a promising technique for both clinical MRI diagnosis and treatment planning for lung lesions. |
| 4266 | Computer 4
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A Preliminary study of Idiopathic Pulmonary Fibrosis using 3D ventilation map based on 3D Ultrashort Echo time Imaging |
| Seokwon Lee1, Ho Yun Lee2,3, Hye Yun Park4, Hongseok Yoo4, Jinil Park5, Hyonha Kim5, and Jang-Yeon Park1,5 | ||
1Biomedical engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 2Radiology and Center for Imaging Science, Samsung Medical Center, Seoul, Korea, Republic of, 3Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea, Republic of, 4Pulmonary and Critical Care Medicine, Samsung Medical Center, Seoul, Korea, Republic of, 5Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea, Republic of |
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Keywords: Lung, Lung Idiopathic pulmonary fibrosis (IPF) is a specific form of idiopathic interstitial pneumonia of unknown cause, the most common and fatal of these interstitial lung diseases. A study on the quantitative assessment of IPF severity based on signal intensity in hyperpolarized MRI lung imaging has recently been proposed. In this preliminary study, it was shown that non-contrast-enhanced 3D ultrashort echo-time (UTE) MRI could diagnose ventilation defects in lesions in patients with IPF using UTE-based 3D ventilation maps and histograms in combination with 3D UTE structural images. |
| 4267 | Computer 5
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Intravoxel incoherent motion diffusion-weighted imaging of solitary pulmonary lesions: initial study with gradient-and-spin echo (GRASE) |
| Siqiang Lv1,2, Zhanguo Sun3, and Xiuzheng Yue4 | ||
1Jining Medical University, Jining, China, 2Affiliated Hospital of Jining Medical University, jining, China, 3Affiliated Hospital of Jining Medical University, Jining, China, 4Philips Healthcare, Beijing, China |
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Keywords: Lung, Data Acquisition, SPLs Intravoxel incoherent motion diffusion-weighted imaging (IVIM) could obtain parameters of pure water molecule diffusion and microcirculatory perfusion-related diffusion and more accurately reflects the complexity of the microstructure of the tumor tissues. Gradient-and-spin echo (GRASE), incorporating the gradient echo and spin echo techniques, is a fast-imaging sequence with potential for improved IVIM examinations. The aim of the study was to evaluate the feasibility and image quality of the GRASE-IVIM sequence in evaluating solitary pulmonary lesions (SPLs) by comparing with the EPI-IVIM and TSE-IVIM sequences. Our data showed GRASE-IVIM sequence could be a fast and stable alternative technique to evaluate the SPLs. |
| 4268 | Computer 6
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Metabolic Imaging of Pancreatic Ductal Adenocarcinoma |
| Saleem Yousf1, Kristine Glunde1,2, Dalton R. Brown1, Caitlin Tressler1, Michael G. Goggins3,4,5, and Zaver M. Bhujwalla1,2 | ||
1Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Departments of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Departments of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5Departments of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Keywords: Cancer, Metabolism, PDAC Metabolic imaging techniques such as mass spectrometry imaging (MSI) complement magnetic resonance spectroscopy and colocalize metabolite profiles with immunohistological evaluation of tissue sections. Here we have performed matrix-assisted laser desorption/ionization (MALDI)-MSI of normal pancreatic tissue, intraductal papillary mucinous neoplasm (IPMN), and pancreatic ductal adenocarcinoma (PDAC) to characterize the spatial distribution of PDAC metabolites in tissue sections. Our preliminary data with MALDI-MSI identifies significantly increased taurine and significantly decreased creatine, both of which can also be detected with 1H MRS, in PDAC compared to normal tissue. The spatial heterogeneity of metabolite distribution in PDAC tissue can be related to immunohistochemical evaluation. |
| 4269 | Computer 7
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Early Detection of Pancreatic Cancer by Hyperpolarized Magnetic Resonance and pO2 Electron Paramagnetic Resonance Imaging |
| Jose Santiago Enriquez1,2, Rian M Howell2,3, Olivereen Le Roux3, Shivanand Pudakalakatti1, Prasanta Dutta1, Florencia McAllister2,3, and Pratip Bhattacharya1,2 | ||
1Cancer System Imaging, UT MD Anderson Cancer Center, Houston, TX, United States, 2UT MD Anderson Cancer Center UT Health Science Center Houston Graduate School of Biomedical Sciences, Houston, TX, United States, 3Clinical Cancer Prevention, UT MD Anderson Cancer Center, Houston, TX, United States |
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Keywords: Cancer, Pancreas, Metabolism, Metabolic Imaging, Hyperpolarized MR (non-gas) There is an unmet need for the early diagnosis of pancreatic cancer. Diagnosis is difficult due to the asymptomatic nature of pancreatic cancer. One way to detect the early stages is to monitor the altered metabolism in premalignant pancreatic lesions in vivo with hyperpolarized metabolic imaging. Here we demonstrate how genetically engineered mouse models were used to detect early stages of pancreatic cancer as we see an increase in the altered metabolism in the pancreatic cancer models compared to control mice. Simultaneously we observe changes in hypoxia levels in these models using electron paramagnetic resonance imaging. |
| 4270 | Computer 8
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Magnetic Resonance Lymphangiography Manifestations and Applications in Secondary Lymphoedema |
| Minge Zhang1, Jichen Xie1, Jinbiao Huang1, Yan Chen1, Jingjing Wang1, Liqi Yi2, Youmao Zheng2, Shilin Gu2, Runyu Tang3, Yunfei Zhang3, Yongming Dai3, and Hai Yang1 | ||
1Department of Radiology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Taizhou, China, 2Department of Hand and Foot Surgery, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Taizhou, China, 3Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Screening, Visualization, Lymphoedema Imaging Surgical intervention should be considered when extremity lymphedema reached clinical stage II, and the identification of lymphatic vessels from nearby veins is critical for surgery planning. In this study, we reviewed the MRL examinations of patients with secondary lymphedema. The results showed that MRL could be used to characterize the secondary lymphedema pre-operatively, and predefine treatment planning for patients who suffer secondary lymphedema. |
| 4271 | Computer 9
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MRI-based scoring model to predict massive hemorrhage during dilatation and curettage in patients with cesarean scar pregnancy |
| Fengleng Yang1, Huaibo Jing2, Xiaodan Wang2, and Zhigang Wang1 | ||
1Radiology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China, 2Gynecology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China |
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Keywords: Urogenital, Urogenital, Cesarean scar pregnancy; Magnetic resonance imaging (MRI); Curettage; Massive hemorrhage; Risk factors Cesarean scar pregnancy is a special type of ectopic pregnancy for which dilatation and curettage (D&C) is one of the main treatment modalities, and uncontrollable hemorrhage is a more dangerous complication during D&C. Accurate preoperative prediction of the risk of intraoperative hemorrhage will help gynecologists draw up precise treatment. The aim of this study is to develop an MRI scoring model for predicting intraoperative hemorrhage during D&C. The study found that cesarean section diverticulum area, uterine scar thickness and gestational sac diameter were independent risk factors for intraoperative hemorrhage. A scoring model was developed, The model possessed decent prediction performance. |
| 4272 | Computer 10
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The findings of clinical and imaging features of common ovarian sex cord stromal tumors with both Ultrasound and MRI |
| Cheng Meiying1, Tan Shifang1, Zhang Lingjie1, Ren Tian2, Zhang Chunxiang1, Wang Kaiyu3, Li Haiyang4, Shang Honglei1, Chang Hui5, Yang Zhexuan1, Cao Jing6, and Zhao Xin1 | ||
1Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Department of Information, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 3MR Research China, GE Healthcare, Beijing, China, 4Department of Medical Equipment, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 5Department of Research, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 6Department of Pathology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China |
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Keywords: Urogenital, MR Value Most of ovarian sex cord stromal tumors (OSCSTs) are benign with good prognosis, but low-grade malignant OSCSTs need special treatment. Correct preoperative diagnoses and accurate classification remain challenging. We retrospectively analyze the clinical and imaging characteristics of OSCSTs and found significant biomarkers such as maximum enhancement ratio (ERmax) and apparent diffusion coefficient (ADC) for the preoperative diagnosis and classification of common OSCSTs. It’s more helpful for preoperative diagnosis by combining of MRI and ultrasound together than by ultrasound alone, and MRI has the similar diagnostic accuracy as the combination. |
| 4273 | Computer 11
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The value of MR perfusion and diffusion combined with tumor marker analysis in differentiating benign and malignant ovarian tumors |
| Jinsong Bai1, Haitao Zhang1, and shaoyu wang2 | ||
1Shanxi Hanzhong People's Hospital, Hanzhong, China, 2DI MR SMK, Siemens Healthineers, Shanghai, China |
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Keywords: Pelvis, Cancer, Ovarian cancer The aim of our study was to compare the differential diagnostic efficacy of dynamic contrast enhanced magnetic resonance imaging (DCE-MRI), apparent diffusion coefficient (ADC), serum carbohydrate antigen 125 (CA125), human epididymal secretory protein 4 (HE4) and their combined application in benign and malignant ovarian tumors, and to explore the best method for the diagnosis of ovarian tumors. |
| 4274 | Computer 12
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APTw Combined With Multiple Models DWI of Endometrial Cancer: Correlations Between Multimodal Parameters and HIF-1α Expression |
| Ma Changjun1, Tian Shifeng1, Liu Ailian1, Chen Lihua1, Lin Liangjie2, Zhang Xiaoxiao3, Guo Yinghua4, and Wang Jiazheng4 | ||
1Department of Radiology,, The First Affiliated Hospital of Dalian Medical University, Dalian, China, China, 2Clinical & Technical Support, Philips Healthcare, Beijing, China, China, 3Clinical & Technical Support, Philips Healthcare, Wuhan, China, China, 4Clinical & Technical Support, Philips Healthcare, Shanghai, China, China |
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Keywords: Placenta, Quantitative Imaging HIF-1α is a major transcriptional factor regulating gene expression under hypoxic conditions. The identification of HIF-1α expression is very helpful for the quantitative assessment of tumor hypoxia, on which the therapeutic response is predicted or regimens are adjusted . |
| 4275 | Computer 13
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Readout-segmented echo-planar imaging in the evaluation of anal fistula: Comparison with single-shot echo-planar diffusion-weighted imaging |
| Yuru Zhong1, jiao bai1,2, Jian Shu1, Fugang Han1, Jun Li1, Dongmei Zhao1, and Yunzhu Wu3 | ||
1Radiology Department, The Affiliated Hospital of Southwest Medical University, LuZhou, China, 2Radiology Department, The affiliated Hospital of Southwest Medical University, LuZhou, China, 3SIEMENS Healthineers Ltd.Shanghai, Shanghai, China |
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Keywords: Pelvis, Diffusion/other diffusion imaging techniques To assess the image quality of anal fistula by RESOLVE DWI compared to SS-EPI DWI, and explore the value of RESOLVE DWI for diagnosis and classification of anal fistula. Qualitative and quantitative evaluation of image quality showed that RESOLVE DWI group was superior than SS-EPI DWI group.The accuracy of RESOLVE DWI sequence in the diagnosis of the internal orifice, branch fistula, and classification was higher than in SS-EPI DWI for anal fistula. RESOLVE DWI can provide higher quality images of anal fistula than SS-EPI DWI. |
| 4276 | Computer 14
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Identification of Imaging Marker for Tumor Tissue Composition in Rectal Carcinoma Using Dynamic Contrast-Enhance MRI |
| Jie YUAN1, Mengxiao Liu2, Songhua Zhan1, and Wenli Tan1 | ||
1Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China, 2Siemens Healthineers Ltd, Shanghai, China |
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Keywords: Digestive, Cancer Dynamic contrast-enhanced (DCE) MRI incorporates arterial input function and pharmacokinetic models to assess tissue perfusion, vasculature, capillary permeability, and interstitial space volume. It can be used to assess tumor vascularization, which can help determine tumor aggressiveness and the degree of angiogenesis and monitor therapy. However, the relationship between pathological characteristics of rectal cancer and the quantitative analysis of DCE remains unclear. |
| 4277 | Computer 15
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Effect of Compressed SENSE on 3D T2-weighted sequence for Rectum Imaging with a deep learning constrained Compressed SENSE Reconstruction |
| Ying Qiu1, Yi Zhu2, Dandan Guo1, and Ke Jiang2 | ||
1Department of radiology, First Hospital of Jilin University, ChangChun, China, 2Philips Healthcare, BeiJing, China |
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Keywords: Urogenital, Pelvis Rectal MRI examination requires high resolution three-dimensional (3D) sequences to observe the morphology, structure and the location of the lesions. However, 3D sequences may lead to longer scan time ，patient discomfort and image quality problem. In this study, we investigated the use of a deep learning-based reconstruction algorithm (CS-AI) to highly accelerate 3D rectum MRI. The result showed that CS-AI reconstruction can use the same scan time with sufficient image quality compared to SENSE and might be clinically useful in assessment of rectum cancer. |
| 4278 | Computer 16
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VI-RADS combined with decision tree model preoperatively predict the pathological grade of bladder cancer with high (≥3) and low (≤2) scores |
| Bohong Cao1, Qing Li1, Shuai Jiang1, Yunfei Zhang2, Yongming Dai2, and Jianjun Zhou1 | ||
1Zhongshan Hospital, Fudan University, Shanghai, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Urogenital, Bladder Bladder cancer pathology grading is currently obtained mainly by invasive cystoscopic biopsy or surgical pathology. This study aimed to investigate the effectiveness of Vesical Imaging Reporting and Data System (VI-RADS) in the diagnosis of high-grade bladder cancer (HG-BC) and explore a new preoperative non-invasive grading prediction system. We demonstrate that most bladder cancers with a VI-RADS score ≥3 are high-grade and that the decision tree model is a good predictor of pathological grading in patients with VI-RADS ≤2. Thus, VI-RADS can be a grouping imaging biomarker for noninvasive prediction of bladder cancer grade. |
| 4279 | Computer 17
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Comparison of integrated slice-specific dynamic shimming and echo-planar imaging diffusion-weighted imaging in bladder cancer detection and characterization |
| yujiao zhao1, cong you1, cheng zhang1, feifei qu2, jinxia zhu2, and Thomas Benkert3 | ||
1The First Central Clinical College of Tianjin Medical University, tianjin, China, 2MR collaborations, Siemens Healthcare, beijing, China, 3MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: Urogenital, Bladder, bladder cancer This study investigated the image quality and lesion characterization of bladder lesions on integrated slice-specific dynamic shimming (iShim) diffusion-weighted imaging (DWI) compared with single-shot echo-planar imaging (ss-EPI) DWI. The qualitative and quantitative image quality analyses were compared between the 2 DWI techniques. The diagnostic agreements of lesion characterization, including submucosal stalk and myometrial invasion, were also evaluated on DWI images compared with pathologic results. The results indicated that iShim-DWI provided better bladder tumor detection and image quality than ss-EPI DWI, suggesting that iShim-DWI might serve as a competent technique in bladder imaging. |
| 4280 | Computer 18
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Diagnostic performance of the vesical imaging-reporting and data system for detecting muscle-invasive bladder cancer based on tumor locations. |
| Xiangyu Wang1, Fan Lin1, and Kan Deng2 | ||
1Shenzhen Second People's Hospital, Shenzhen, China, 2Philips Healthcare, Guangzhou, China |
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Keywords: Pelvis, Tumor The VI-RADS criterion was reported to have limitations, particularly for tumors location. So we evaluated the diagnostic performance of Vesical Imaging-Reporting and Data System (VI-RADS) scoring and diagnostic accuracies based on tumor locations. VI-RADS had superior diagnostic performance for detecting MI, especially in tumors located at the bladder lateral, posterior walls and ureteric orifices. |
| 4281 | Computer 19
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Amide proton transfer values in testicular spermatogenic function evaluation: a preliminary study |
| Guanglei Tang1, Wenhao Fu1, Kan Deng2, and Jian Guan1 | ||
1The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China, 2Philips Healthcare, Guangzhou, China |
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Keywords: Urogenital, fMRI In this study, we determined APT of normal testes possible variations with age, and to assess the feasibility of APT in testicular spermatogenic function evaluation. Our results showed that APT of normal testicular tissue decrease with advancing age, and could be promising in evaluation of male infertility. |
| 4282 | Computer 20
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An add-on local external shim array to improve the main magnetic field homogeneity in the prostate |
| Carlijn Tenbergen1, Angeliki Stamatelatou1, Sahar Nassirpour2, Paul Chang2, and Tom Scheenen1,3 | ||
1Department of Medical Imaging, Radboud University Medical Center, Nijmegen, Netherlands, 2MR Shim, Reutlingen, Germany, 3Erwin L. Hahn Institute, Essen, Germany |
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Keywords: Prostate, Shims, Diffusion, Spectroscopy B0-field inhomogeneities can influence (spectroscopic) image quality of the prostate, causing geometric distortion in diffusion weighted EPI images as well as line broadening in MRSI voxels. We added a 16-element external local shim array around the pelvis to improve B0-field homogeneity within the prostate and evaluated its effects compared to standard shimming in 9 healthy volunteers. Resulting B0-maps showed a comparable or reduced frequency variation across subjects, with a significant decrease of MRSI citrate line widths. DWI did not show a robust effect over the group of subjects. |
| 4435 | Computer 1
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The Effect of Breathing on Pulmonary Blood Flow using Pseudocontinuous Arterial Spin Labeling (PCASL) in a Test-Retest Design |
| Manuel Kolb1, Ferdinand Seith1, Isabella Mack1, Thomas Küstner1, Rolf Pohmann2, and Petros Martirosian3 | ||
1Department of Diagnostic and Interventional Radiology, University Hospital of Tübingen, Tübingen, Germany, 2High-Field MR Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 3Section of Experimental Radiology, Department of Radiology, University Hospital of Tübingen, Tübingen, Germany |
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Keywords: Lung, Arterial spin labelling, Pulmonary blood flow, Lung perfusion PCASL can quantitively measure pulmonary blood flow and detect pulmonary embolism. However, patients suffering from lung embolisms are usually unable to follow breathing commands required for optimal imaging. In this study, the influence of respiratory states on pulmonary perfusion measured with PCASL was investigated. Nineteen healthy volunteers were studied with an ECG-triggered PCASL sequence in a test-retest design. It was found that mean perfusion was highest during expiration, followed by free breathing and lowest in inspiration. A significant difference was observed between the maximal inspiration and expiration breath-hold conditions. Perfusion values acquired by PCASL in the lung parenchyma showed high reproducibility. |
| 4436 | Computer 2
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Application of Metabolic Imaging of Hyperpolarized [1-13C]Pyruvate to a Genetic Mouse Model of Nonalcoholic Steatohepatitis |
| Aditya Jhajharia1, Salaheldeen Elsaid1, Minjie Zhu1, Joshua Rogers1, Youngshim Choi2, Liqing Yu2, Sui Seng Tee1, and Dirk Mayer1 | ||
1Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States, 2Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States |
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Keywords: Liver, Hyperpolarized MR (Non-Gas), NASH This study applied metabolic imaging of hyperpolarized [1-13C]pyruvate to a genetic mouse model of nonalcoholic steatohepatitis (NASH). Histology of the NASH (livKO) mice showed different levels of liver injury that were categorized into mild, moderate, and severe. NASH mice with severe liver injury had significantly higher Lac-to-Pyr and Ala-to-Pyr ratios in liver ROIs than that in control animals . These results suggest that hyperpolarized MRSI can be a promising method to differentiate liver injury based on severity in NASH. We also discussed several sources for variability of the MR data and how to potentially address them. |
| 4437 | Computer 3
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A Fully Automated Hybrid Approach to Assessing Liver Fibrosis and Necroinflammation on Conventional MRI:A Multi-center Study |
| Junhao Zha1, Yang Song2, and Shenghong Ju1 | ||
1Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China, 2MR Scientific Marketing, Siemens Healthineers Ltd, Shanghai, China |
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Keywords: Liver, Radiomics, liver fibrosis To our knowledge, this is the first study developing a multi-task hybrid models incorperating conventional MR tissue texture and routine clinical biomarkers with both good accuracy and explainability in detecting fibrosis and necroinflammation. Our study used an interactive deep learning approach to automatedly segment the entire volumetric liver contours more effectively. Our CoRC models outperformed routine clinical fibrotic scores (FIB-4, APRI), and TE-LSM by discrimination, calibration in the large multicenter cohorts. Our CoRC models could be as a potential alternative when biopsy, hepatobiliary phase (HBP) images, liver stiffness measurement (LSM) are unavailable. |
| 4438 | Computer 4
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Preoperative Prediction of Hepatocellular Carcinoma with Stem Cell Phenotype on Enhanced Magnetic Resonance Imaging and Its Prognostic Value |
| Yidi Chen1, Hanyu Jiang1, and Bin Song1 | ||
1Radiology, West China Hospital, Sichuan University, Chengdu, China |
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Keywords: Liver, Tumor Hepatocellular carcinoma (HCC) with stem cell phenotype is characterized by activating classic cell proliferation pathways and altering intrinsic regulators, it can stimulate HCC tumor proliferation, make the tumor more prone to recurrence, metastasis and therapy resistance. In this study, we developed an easy-to-use and noninvasive risk score integrating preoperative clinical indicators and enhancement magnetic resonance imaging (MRI) to predict stem cell phenotype HCC. |
| 4439 | Computer 5
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MRI-based radiomics nomogram for preoperatively differentiating intrahepatic cholangiocarcinoma from colorectal liver metastases Abstract |
| Ying Xu1, Lu Li1, Yi Yang1, Feng Ye1, Sicong Wang2, Lizhi Xie2, Yanan Wang3, and Xinming Zhao1 | ||
1Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China, 2GE Healthcare, China, Beijing, China, 3Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zheng Zhou, China |
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Keywords: Liver, Radiomics, Cholangiocarcinoma; colorectal liver metastases; nomogram; differential diagnosis. A total of 133 patients in training cohort (64 IMCC and 69 CRLM) and 57 patients in validation cohort (29 IMCC and 28 CRLM) were included. Radiomics features were extracted from the DCE-MR images and selected by the least absolute shrinkage and selection operator algorithm to establish the radiomics model.The radiomics nomogram was constructed combining the radiomics model and clinical model.The radiomics nomogram combining radiomics signatures based on DCE-MRI with clinical factors (serum CEA level and tumor diameter) may provide a reliable and noninvasive tool to discriminate IMCC from CRLM, which could help guide treatment strategies and prognosis prediction preoperatively. |
| 4440 | Computer 6
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The PRISM clinical trial: Quantitative imaging for personalized liver radiation therapy |
| Sirisha Tadimalla1, Tim Wang2, Val Gebski3, Sheryl Foster4,5, Vincent Lam6, Jonathan Sykes2, Robert Finnegan1,7,8, Jacob George9, Verity Ahern2, Steven Sourbron10, and Annette Haworth1 | ||
1Institute of Medical Physics, The University of Sydney, Sydney, Australia, 2Sydney West Radiation Oncology Network, Western Sydney Local Health District, Westmead, Australia, 3NHMRC Clinical Trials Centre, The University of Sydney, Sydney, Australia, 4Faculty of Medicine and Health, The University of Sydney, Sydney, Australia, 5Department of Radiology, Westmead Hospital, Westmead, Australia, 6Acute Surgical Unit, Westmead Hospital, Westmead, Australia, 7Ingham Institute of Applied Medical Research, Liverpool, Australia, 8Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, Australia, 9Department of Gastroenterology and Hepatology, Westmead Hospital, Westmead, Australia, 10Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom |
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Keywords: Cancer, Radiotherapy Quantitative imaging biomarkers of liver function offer a potential opportunity to optimize radiation dose distributions for personalized treatment of patients with liver cancers using radiation therapy. The PRISM clinical study aims to determine if radiation treatment plans guided by liver function maps from MRI can increase the therapeutic dose to tumours. We have developed a dedicated multi-parametric MRI protocol for the quantitative assessment of liver composition, structure and function. Details of the protocol and pilot data are presented here. |
| 4441 | Computer 7
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Toward Assessment of Renal Tubule Volume Fraction in Rat Kidney Using Decomposition of Parametric T2 Mapping |
| Ehsan Tasbihi1, Thomas Gladytz1, Ludger Starke1,2, Jason M. Millward1, Erdmann Seeliger3, and Thoralf Niendorf1,4 | ||
1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany, 2Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany, 3Institute of Translational Physiology, Charité – Universitätsmedizin, Berlin, Germany, 4Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the MAX Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany |
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Keywords: Kidney, Preclinical Increased incidence of kidney diseases is a concern, for which rapid biomarkers are lacking. Changes in tubule volume fraction (TVF) is a potential biomarker for kidney disease. T2-mapping may be useful to asses TVF in noninvasive manner. To study this, we developed a protocol tailored for T2-mapping of the rat kidney, and determined a suitable numerical solution for multi-exponential decomposition of the T2-decay. Evaluation and validation of these algorithms using synthetic data and phantom showed an accuracy of 98%. This demonstrates that our approach is promising for research into quantitative assessment of renal TVF in in vivo applications. |
| 4442 | Computer 8
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The feasibility of 4D Flow in evaluating hemodynamic changes of transplant renal artery stenosis |
| Songlin Guo1, Peng Wu2, Lu Han2, Liang Pan 1, and Wei Xing1 | ||
1Third Affiliated Hospital of Soochow University, Department of Radiology, Changzhou, China, 2Philips Healthcare, Shanghai, China, Shanghai, China |
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Keywords: Kidney, Transplantation Although 4D-Flow MRI is capable of detecting hemodynamic abnormalities, it is rarely employed in transplanted kidneys. Using 4D-Flow MRI, we assessed total volume, net flux, maximum flow, and mean flow rate and performed a statistical analysis of the correlation in this study. Total volume, net flux, maximum flow, and mean flow rate were shown to be inversely linked to the degree of stenosis in the transplanted renal artery. As a result, 4D-Flow MRI may be applied to study the hemodynamic changes of the transplanted renal artery noninvasively. |
| 4443 | Computer 9
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Feasible study of multimodal apparent diffusion (MAD) in kidney |
| Shuang Wang1, Tuo Ji2, Jingdong Zhang 1, Dan YU3, Yongming Dai3, and Lin Liu1 | ||
1The Radiology Apartment of China-Japan Union Hospital of Jilin University, Changchun, China, 2The first Urology Apartment of China-Japan Union Hospital of Jilin University, Changchun, China, 3Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Kidney, Diffusion/other diffusion imaging techniques The multimodal apparent diffusion (MAD) is a new approach with a predefined number of components associated with microstructure. In this work, the performance of quad-modal apparent diffusion in the kidney was assessed with simulation for different conditions. In-vivo demonstration and comparison with other models showed an explicable parametrization and improved fitting performance. |
| 4444 | Computer 10
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MRI Radiomics Model Preoperatively Predicts Key Gene Mutation in Pancreatic Ductal Adenocarcinoma Patients |
| Yan Deng1, Xiao ming Zhang2, and Bin Song1 | ||
1Radiology, West China Hospital, Sichuan University, Chengdu, China, 2Affiliated Hospital of North Sichuan Medical College, Nanchong, China |
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Keywords: Pancreas, Cancer Individualized management of pancreatic ductal adenocarcinoma (PDAC) is difficult and understanding it underlying biology is important. Radiomics model based on MRI was developed to predict status of KRAS and TP53 in PDAC, univariate analysis, MRMR and LASSO were applied for feature selection and multivariable logistic regression used for modeling. The classification metrics were applied to assess these models discrimination. Results suggested radiomics model based on MRI outperformed clinical model for predicting gene mutations of PDAC. This study confirmed that radiomics model based on MRI had a potentiality to predict the KRAS and TP53 mutation in PDAC. |
| 4445 | Computer 11
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Role of tomoelastography for the differentiation between solid pseudopapillary neoplasms and pancreatic neuroendocrine neoplasms |
| Jiaxin Yuan1, Siya Shi1, Liqin Wang1, Xuefang Hu1, Jinhui Yu1, Tingting Wen1, Shiting Feng1, Zhenpeng Peng1, and Yanji Luo2 | ||
1The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China, 2The First Affiliated Hospital, Sun Yat-Sen University, Guanghzou, China |
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Keywords: Pancreas, MR Value, Magnetic resonance elastographies,SPNs,pNENs This prospective study enrolled patients with pathologically confirmed solid pseudopapillary tumors (SPNs) and pancreatic neuroendocrine tumors (pNENs) who underwent preoperative tomoelastography examinations at our hospital. Sixty-four patients were included (18 patients with SPNs; 46 patients with pNENs). SPNs showed significantly lower stiffness (P<0.001) and fluidity (P=0.001) than pNENs. Both stiffness and fluidity allowed distinguishing SPNs from pNENs. AUCs were 0.899 for stiffness, 0.760 for fluidity. Tomoelastography is a novel multi-frequency MRE technique that can facilitate the differentiation between SPNs and pNENs. |
| 4446 | Computer 12
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High resolution diffusion weighted imaging on pancreas through reduced FOV and compressed SENSE: a feasibility study |
| Yajing Zhang1, Zhigang Wu2, Wengu Su3, Jiazheng Wang4, Yan Zhao5, and Marc Van Cauteren6 | ||
1MR Clinical Science, Philips Health Technology, Suzhou, China, 2Philips Healthcare (China), Shenzhen, China, 3MR Application, Philips Health Technology, Suzhou, China, 4Philips Healthcare (China), Beijing, China, 5MR R&D, Philips Health Technology, Suzhou, China, 6Philips Healthcare, Tokyo, Japan |
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Keywords: Pancreas, Data Acquisition Pancreas imaging remains challenging because of its small size and motion, and conventional diffusion weighted imaging (DWI) suffers from poor image quality due to low signal-to-noise (SNR) and image blurring. This study performs several schemes to achieve high resolution high image quality pancreas DWI with reduced FOV using Compressed SENSE. |
| 4447 | Computer 13
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Oxygen-enhanced high-resolution 3D ultrashort echo time MRI for patients with connective tissue diseases: a preliminary study |
| Feng Zhang1, Yu Xin Yang2, Lei Jiang3, Liang Zhao1, Yongming Dai4, and Jiong Zhu1 | ||
1Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China, 2United Imaging Research Institute of Intelligent Imaging, Beijing, China, 3Ningbo Hangzhou Bay Hospital, Ningbo, China, 4Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Lung, Lung This preliminary study investigates the utility of high-resolution 3D-UTE to assess patients with CTD-ILD and their pulmonary function, including both pulmonary parenchyma and lesions, using OE-UTE-MRI. Our results suggest that high-resolution 3D UTE and OE-UTE MRI could potentially be as useful as thin-section CT for lesion detection of CTD patients with ILD and provide additional pulmonary functional loss assessment. |
| 4448 | Computer 14
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Development and clinical utility analysis of a prostate zonal segmentation model on T2-weighted imaging: a multicenter study |
| Lili Xu1, Gumuyang Zhang1, Li Mao2, Xiuli Li2, Hao Sun1, and Zhengyu Jin1 | ||
1Peking Union Medical College Hospital, Beijing, China, 2Deepwise AI Lab, Beijing, China |
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Keywords: Prostate, Machine Learning/Artificial Intelligence, Multicenter study Zonal segmentation is important in the management of prostatic diseases. Many studies have demonstrated the feasibility of training CNN models for zonal segmentation. However, they lack validation in non-public datasets and consideration of the patients’ characteristics. In this study, we validated the model’s utility for prostate zonal segmentation on T2WI in different external testing datasets. The model yielded good performance regardless of the variations in the patients’ clinicopathological characteristics. The model showed higher performance than the junior radiologist in PZ segmentation. Prostate morphology and MR scanner parameters, especially CG volume and vendor, impact zonal segmentation performance. |
| 4449 | Computer 15
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The value of amide proton weighted imaging in predicting perineural invasion of prostate cancer |
| Xiwei Li1, Lihua Chen1, Nan Wang1, Jiazheng Wang2, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare,Beijing, Beijing, China |
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Keywords: Prostate, Cancer Perinerval infiltration (PNI) is closely related to the degree of radical operation and postoperative recurrence. Pathological examination is the gold standard for PNI diagnosis, but it is an invasive examination. The APTw imaging can be used for disease diagnosis and therapeutic evaluation by detecting the content of protein and polypeptide in tissues and cells. In this study, APTw was used to evaluate the PNI in prostate cancer. The results showed that the APT values of PNI （+） group was higher than other one group. Therefore, APTw is of great value in differentiation of perinerval invasion from prostate cancer. |
| 4450 | Computer 16
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ADC histogram features of rectal cancer before and after neoadjuvant radiation to predict heterochronic hematogenous metastasis |
| Xiaoxian Zhang1, Chunmiao Xu1, Zhiwei Shen2, Ke Jiang2, and Xuejun Chen1 | ||
1Henan tumor hospital, Zhengzhou, China, 2Philips healthcare，Beijing，China, Beijing, China |
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Keywords: Cancer, Diffusion/other diffusion imaging techniques Bloodstream metastasis to the liver, lung, and bone is the most prevalent mechanism of rectal cancer metastasis. However, there are currently no good indications for diagnosing heterochronic hematogenous metastases at the early stage. Therefore, this study aimed to explore whether ADC histograms might predict new heterochronic hematogenous metastases before and after neoadjuvant radiation for rectal cancer. Results showed that the first-order histogram feature ADC5% derived from post-treatment ADC maps might be utilized as an imaging biomarker and an independent predictor of new heterochronic hematogenous metastases after surgery following neoadjuvant chemotherapy for rectal cancer. |
| 4451 | Computer 17
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APT histogram parameters for Response Prediction of Neoadjuvant Chemotherapy in Rectal Cancer: A Prospective Study |
| Xiaoling Gong1, Yu Shen2, Daguang Wen3, Xiaoxiao Zhang4, Xiaoyong Zhang5, Ziqiang Wang2, and Bing Wu3 | ||
1Department of Radiology, West China Hospital, Sichuan University, Cheng du, China, 2Colorectal Cancer Center，Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China, 3Department of Radiology, West China Hospital, Sichuan University, Chengdu, China, 4Philips Healthcare, China, Beijing, China, 5Philips Healthcare, China, Chengdu, China |
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Keywords: Cancer, fMRI, rectal cancer Early imaging prediction of neoadjuvant chemotherapy (NACT) response would enable a personalized treatment approach to improve therapeutic response and avoid treatment morbidity in rectal cancer. Morphological changes base on T2 weighted MRI and free dispersion limitation of water molecules in tumor have limited value in evaluating efficacy after NACT. Amide proton transfer (APT)–weighted MRI, indirectly detecting the concentration of tissue macromolecular proteins, could help to inform us of the proliferation and biological status of tumor cells. The aim of this study is to determine if APT MRI is useful in early assessment of treatment response in persons with rectal cancer. |
| 4452 | Computer 18
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Comparison of fat fraction techniques within the pelvis: evaluating repeatability and accuracy |
| Yassine N Azma1,2, Nada Boci1, Katarzyna Abramowicz1, Matthew R Orton1,2, Nina Tunariu1,2, Dow-Mu Koh1,2, Geoff Charles-Edwards1,2, David J Collins1,2, and Jessica M Winfield1,2 | ||
1MRI Unit, The Royal Marsden NHS Foundation Trust, London, United Kingdom, 2Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom |
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Keywords: Fat, Whole Body, Dixon Dixon-derived fat fraction (FF) has proven to play a pivotal role in whole-body MRI examinations for assessment of bone marrow disease in advanced prostate cancer. However, Dixon sequences are known to be subject to multiple sources of bias compared to the proton-density fat fraction (PDFF) gold standard. In this study, FF within the pelvis was measured for healthy tissues, active lesions and treated lesions with six different Dixon sequences. All sequences demonstrated good repeatability in scan-rescan studies of healthy volunteers. Statistically significant differences were observed between T1w-FF and PDFF for both active and treated lesions which requires further investigation. |
| 4453 | Computer 19
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MR-based body composition analysis, resting state fMRI and autonomic function evaluation for phenotyping biomarkers |
| CHETNA BANGA1, DR. PREETI BHOSLE1, DR. DUSHANT KUMAR1, PROF. K.K DEEPAK2, DR. DINU CHANDRAN3, and PROF. RAMA JAYASUNDAR4 | ||
1NUCLEAR MAGNETIC RESONANCE, ALL INDIA INSTITUTE OF MEDICAL SCIENCES, NEW DELHI, NEW DELHI, IN, India, 2PHYSIOLOGY, ALL INDIA INSTITUTE OF MEDICAL SCIENCES, NEW DELHI, NEW DELHI, India, 3PHYSIOLOGY, ALL INDIA INSTITUTE OF MEDICAL SCIENCES, NEW DELHI, NEW DELHI, IN, India, 4NUCLEAR MAGNETIC RESONANCE, ALL INDIA INSTITUTE OF MEDICAL SCIENCES, NEW DELHI, NEW DELHI, India |
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Keywords: Screening, Quantitative Imaging, MR body composition analysis, phenotyping, subcutaneous fat, resting state fMRI Phenotyping individuals are gaining importance in personalized medicine. This MR based body composition analysis and resting state (R-fMRI) along with autonomic functions (AFT) evaluation have determined parameters for physical, functional and physiological phenotyping in healthy volunteers (n=30). MR studies (at 3T) were R-fMRI using EPI sequence, subcutaneous fat evaluation by mDIXON sequence and AFT included parasympathetic (deep breathing, HUT) and sympathetic (HUT, hand grip test, cold pressor test). Increased functional activation, higher abdominal fat and fall in Baroreflex independent sympathetic reactivity were observed in volunteers having BMI ≥25 Kg/m2 compared to those with BMI <25Kg/m2. |
| 4454 | Computer 20
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Evaluation of a vendor-agnostic scan-specific quality control acquisition for clinical whole-body MRI (WB-MRI) protocols |
| Sam Keaveney1,2, Georgina Hopkinson1, Julia Markus3, Andrew N Priest4,5, Erica Scurr1, Julie Hughes1, Cheryl Richardson1, Simon J Doran2, David J Collins1,2, Christina Messiou1,2, Dow-Mu Koh1,2, and Jessica M Winfield1,2 | ||
1MRI Unit, Royal Marsden NHS Foundation Trust, Sutton, United Kingdom, 2Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom, 3Centre for Medical Imaging, University College London, London, United Kingdom, 4Department of Imaging, Addenbrookes Hospital, Cambridge University Hospital NHS Foundation Trust, Cambridge, United Kingdom, 5Department of Radiology, University of Cambridge, Cambridge, United Kingdom |
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Keywords: Whole Body, Cancer, Quality Assurance / Quality Control A short quality control (QC) acquisition and analysis process was developed previously to detect faulty RF coil elements and coil positioning errors in whole-body (WB) MRI. This work demonstrates the feasibility of this process on systems from three manufacturers and reports on the evaluation of this approach following its addition to the clinical WB-MRI protocol for all examinations over a period of six months on six scanners, providing on-going monitoring of image quality across 450 examinations. Two previously unidentified broken RF coil elements were detected, which were affecting clinical image quality, demonstrating the value of this active detection approach. |
| 4655 | Computer 61
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MRI of the diaphragm: characterizing motion and microstructural properties in ICU patients |
| Myrte Wennen1,2, Tim J. Marcus3, Annemijn Jonkman1, Lilian Meijboom3, Marc Kachelriess4, Yannick Berker5,6,7, Gustav J. Strijkers3, Coen A. C. Ottenheijm8, Leo M. A. Heunks1, Aart J. Nederveen3, and Oliver J. Gurney-Champion3 | ||
1Intensive Care, Erasmus Medical Centre, Rotterdam, Netherlands, 2Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Rotterdam, Netherlands, 3Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands, 4Division of X-Ray imaging and CT, German Cancer Research Center (DKFZ), Heidelberg, Germany, 5Hopp Children's Cencer Center Heidelberg (KiTZ), Heidelberg, Germany, 6Clinical Cooperation Unit Pediatric Oncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany, 7National Center for Tumor Diseases (NCT), Heidelberg, Germany, 8Department of Physiology, Amsterdam University Medical Centers, Amsterdam, Netherlands |
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Keywords: Lung, Motion Correction, Diaphragm Diaphragm weakness is common in intensive care patients and has a detrimental effect on clinical outcome. Weakness in these patients may be explained by disuse atrophy or injury resulting from systemic inflammation among other factors. MRI can be used to study the motion and tissue characteristics of the diaphragm. We present the design of an MRI protocol for quantifying motion and tissue characteristics of the diaphragm. 4D MRI, relaxometry and dynamic contrast enhanced MRI were successfully applied in healthy volunteers and COVID-19 patients. Our method may aid in finding treatments and prevention strategies for diaphragm weakness in critically ill patients. |
| 4656 | Computer 62
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Spiral-GRASP-UTE: 4D Real-Time MRI of the Lung with Sub-Second Temporal Resolution |
| Ding Xia1, Ye Tian2, Thomas Benkert3, and Li Feng1 | ||
1Biomedical Engineering and Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States, 3MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: Lung, Lung The purpose of this work was to develop a dynamic lung MRI framework, called Spiral-GRASP-UTE, for 4D real-time imaging of the lung with sub-second temporal resolution. Spiral-GRASP-UTE combines continuous ultra-short echo time (UTE) variable-density stack-of-spirals acquisition with a recently developed GRASP-Pro reconstruction technique that is based on a low-rank subspace model. Compared to other state-of-the-art lung MRI methods using 3D radial Kooshball sampling, Spiral-GRASP-UTE enables fast free-breathing dynamic lung imaging (2-3 minutes) and a high temporal resolution of less than one second per volume. This eliminates the need for respiratory motion detection and compensation, which is often challenging in lung MRI. |
| 4657 | Computer 63
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Dynamic lung water imaging during exercise stress |
| Felicia Seemann1, Ahsan Javed1, Jaffar M Khan1, Christopher G Bruce1, Rachel Chae1, Korel Yildirim1, Amanda Potersnak1, Haiyan Wang1, Rajiv Ramasawmy1, Robert J Lederman1, and Adrienne E Campbell-Washburn1 | ||
1National Heart, Lung , and Blood Institute, National Institutes of Health, Bethesda, MD, United States |
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Keywords: Image Reconstruction, Lung, Exercise MRI Dynamic quantification of lung water during exercise stress is of clinical interest for early diagnosis of heart failure. In this study, we demonstrate a method to derive quantitative time-resolved lung water density maps from a continuous 3D MRI acquisition during supine exercise stress by using a motion corrected sliding-window image reconstruction. An animal model of dynamic lung water accumulation was used to validate the method, and feasibility was demonstrated in healthy subjects imaged in transitions between rest and exercise, measuring a lung water density increase of 23±10% during peak exercise. |
| 4658 | Computer 64
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Motion-resolved pulmonary imaging for simultaneous fractional ventilation and T1 mapping using MR Multitasking |
| Chaowei Wu1,2, Hsu-Lei Lee1, Nan Wang1,3, Fei Han4, Vibhas Deshpande5, Andreas Voskrebenzev6, Jens Vogel-Claussen6, Anthony G Christodoulou1,2, Yibin Xie1, and Debiao Li1,2 | ||
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, 3Radiology Department, Stanford University, Stanford, CA, United States, 4Siemens Healthcare, Los Angeles, CA, United States, 5Siemens Healthcare, Austin, TX, United States, 6Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany |
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Keywords: Lung, Quantitative Imaging Pulmonary imaging has taken on greater importance during the COVID-19 pandemic. Regional fractional ventilation (FV) and T1 from MR imaging are potential biomarkers for pulmonary tissue and functional abnormality. However, FV imaging is limited to 2-D acquisition or 3-D with low spatial resolution, and T1 imaging typically requires long breath-holding that is not practical in many scenarios. Furthermore, there is no existing technique for simultaneous acquisition of both pieces of information. To address these limitations, we propose a novel motion-resolved pulmonary imaging technique for simultaneous FV and T1 mapping using MR Multitasking, and demonstrate its feasibility in 7 healthy volunteers. |
| 4659 | Computer 65
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High resolution pulmonary imaging on a commercial 0.55T MRI scanner |
| Ahsan Javed1, Rajiv Ramasawmy1, Pan Su2, Thomas Benkert3, Waqas Majeed2, Kelvin Chow2, and Adrienne E Campbell-Washburn1 | ||
1National Institutes of Health, Bethesda, MD, United States, 2Siemens Medical Solutions USA Inc, Malvern, PA, United States, 3MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: Lung, Lung We determined the feasibility of diagnostic high resolution pulmonary imaging on a commercial 0.55T scanner and compared the image quality to a ramped down prototype 0.55T scanner. 0.55T scanners can improve accessibility of MRI, due to their lower cost, ease of installation, and wider bore geometry. Previously, we showed robust pulmonary imaging at 0.55T using a prototype scanner with high performance gradients. In this work, we leverage our robust self-gated, concomitant and motion corrected reconstruction pipeline to enable diagnostic pulmonary imaging on a commercial 0.55T scanner with lower gradient performance. |
| 4660 | Computer 66
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129Xe MRS Gas-Exchange Abnormalities in Poorly-controlled Asthma |
| Alexander M Matheson1, Marrissa J McIntosh1, Narinder Paul2, Anurag Bhalla3, Cory Yamashita3, and Grace Parraga1,2,3 | ||
1Medical Biophysics, Robarts Research Institute, Western University, London, ON, Canada, 2Department of Medical Imaging, Western University, London, ON, Canada, 3Division of Respirology, Department of Medicine, Western University, London, ON, Canada |
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Keywords: Lung, Hyperpolarized MR (Gas) Large and small airway-wall and lumen abnormalities and occlusion are hallmark findings in asthma, but pathologic abnormalities have also been reported in the pulmonary vasculature. 129Xe MR-spectroscopy provides a way to quantify 129Xe gas in the airways and as it diffuses through the alveolar tissue-membrane and binds to red-blood-cells in the pulmonary capillaries. Static and dynamic 129Xe MR-spectroscopy were undertaken in participants with poorly controlled asthma in whom there was significantly different 129Xe MR RBC:membrane ratio compared to healthy-volunteers. Cardiopulmonary oscillations were observed in all 129Xe compartments; the oscillation amplitude in the gas-compartment was related to oscillometry airways impedance measurements. |
| 4661 | Computer 67
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Investigating the Relationship between Lung Volume and the Lung-Diaphragm Signal at 3T: Implications for Ventilation Measures |
| Zachary Peggs1,2, Jonathan Brooke2, Jan Paul1, Christopher Bradley1, Andrew Cooper1, Charlotte E Bolton2, Ian P Hall2, Susan Francis1,2, and Penny Gowland1,2 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2NIHR Nottingham Biomedical Research Centre (BRC), Respiratory Medicine, School of Medicine, University of Nottingham, Nottingham, United Kingdom |
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Keywords: Lung, Data Analysis, COPD The relationship between lung volume and lung MR signal is key to quantifying ventilation using 1H MRI. This relationship was probed using a highly accelerated 3D FFE acquisition at 3T. Linear regression between the percentage change in lung-diaphragm navigator signal and lung volume showed that the relationship between these parameters was not always linear, especially in patient groups. Polynomial regression was used to assess the extent of the hysteresis between inspiration and expiration, with more hysteresis observed in chronic obstructive pulmonary disease (COPD) patients. |
| 4662 | Computer 68
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Functional Pulmonary Proton MRI: Voxel-wise Linear-fitting Ventilation (VOLVE) Assessment in Chronic Obstructive Pulmonary Disease (COPD) |
| Zachary Peggs1,2, Jonathan Brooke2, Jan Paul1, Christopher Bradley1, Andrew Cooper1, Charlotte E Bolton2, Ian P Hall2, Susan Francis1,2, and Penny Gowland1,2 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2NIHR Nottingham Biomedical Research Centre (BRC), Respiratory Medicine, School of Medicine, University of Nottingham, Nottingham, United Kingdom |
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Keywords: Lung, Quantitative Imaging, COPD The VOLVE (VOxel-wise Linear fit VEntilation, VOLVE) method, whereby voxel-wise linear fitting between the lung-diaphragm navigator signal and lung parenchyma MR signal is used to assess regional ventilation, was investigated in chronic obstructive pulmonary disease (COPD) and alpha-1 antitrypsin deficiency (A1ATD). Fractional ventilation (FV) maps derived from phase-resolved functional lung imaging (PREFUL) were also determined. Significant differences between the healthy and the lung disease groups were found, indicating the sensitivity of these techniques to emphysematous lung disease. |
| 4663 | Computer 69
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Longitudinal 129Xe MRI assessment of lung gas transfer and microstructure over 1 year in patients with asthma and/or COPD |
| Helen Marshall1, Guilhem J Collier1, Ho-Fung Chan1, Laurie J Smith1, Paul JC Hughes1, Dave Capener1, Jody Bray1, Sinoy Joseph1, Ryan Munro1, Olly Rodgers1, James Ball1, Neil J Stewart1, Graham Norquay1, Martin L Brook1, Leanne Armstrong1, Latife Hardaker2, Titti Fihn-Wikander3, Rod Hughes4, and Jim Wild1 | ||
1University of Sheffield, Sheffield, United Kingdom, 2Priory Medical Group, York, United Kingdom, 3AstraZeneca, Gothenburg, Sweden, 4AstraZeneca, Cambridge, United Kingdom |
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Keywords: Lung, Hyperpolarized MR (Gas) Longitudinal changes of 129Xe MRI metrics in patients with asthma and/or COPD have not yet been reported. 140 patients with asthma and/or COPD were scanned at 2 visits, 1 year apart, using 129Xe gas transfer and diffusion MRI. From visit 1 to visit 2 red blood cell (RBC) / membrane (M) and RBC/gas decreased and the amplitude of red blood cell oscillations (ARBCO) increased when all patients were considered. RBC/M and RBC/gas decreased in asthma+COPD, and RBC/M decreased and ARBCO increased in asthma from visit 1 to visit 2. M/gas and acinar microstructure metrics did not change significantly between visits. |
| 4664 | Computer 70
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129Xe MRI Assessment of Disease Progression in Patients with COPD treated with Azithromycin: Multi-Site Repeatability and Preliminary Results |
| Jaime Mata1, John Mugler III1, Bastiaan Driehuys2, David Mummy2, Laura Bell3, Alexandre Coimbra3, Paula Belloni3, Peter Niedbalski4, and Yun Michael Shim1 | ||
1University of Virginia, Charlottesville, VA, United States, 2Duke University, Durham, NC, United States, 3Genentech, San Francisco, CA, United States, 4University of Kansas, Lawrence, KS, United States |
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Keywords: Lung, Hyperpolarized MR (Gas), COPD, clinical trial Harmonization of imaging methodology among three sites was successfully achieved. Preliminary results for longitudinal treatment with azithromycin demonstrated the sensitivity of 129Xe MRI in detecting ventilation changes, presumably caused by Sars-Cov2 infection or termination of azithromycin treatment at week 24 due to hearing loss. This preliminary data supports that 129Xe MRI is a sensitive tool for detecting subtle changes in COPD early and may potentially reduce the length of clinical trials that aim to visualize therapeutic responses. |
| 4665 | Computer 71
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Local correlation of echo-time dependent observed lung T1 and quantitative perfusion in patients with chronic obstructive pulmonary disease |
| Simon Michael Florian Triphan1,2, Marilisa Konietzke1,2,3, Jürgen Biederer1,2,4,5, Hans-Ulrich Kauczor1,2, Claus Peter Heußel1,6, and Mark Oliver Wielpütz1,2 | ||
1Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany, 2Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), Heidelberg, Germany, 3Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany, 4Faculty of Medicine, University of Latvia, Riga, Latvia, 5Christian-Albrechts-Universität zu Kiel, Kiel, Germany, 6Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at the University Hospital of Heidelberg, Heidelberg, Germany |
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Keywords: Lung, Quantitative Imaging, T1 mapping, perfusion quantification, UTE Observed TE-dependent T1 has been shown to correlate with MRI perfusion scores. Here, 22 patients with COPD were examined using DCE MRI and 2D UTE. Perfusion and T1(TE) was quantified based on these, respectively. Correlations of T1(TE) with perfusion measures were examined, with the strongest inter-patient correlation at TE2=500μs but stronger local correlations at TE1=70μs and TE3=1200μs than at TE2. The average T1 in defect areas according to DCE was shorter than in normal areas, with the smallest difference at TE2. This implies that the local TE-dependence in defect voxels is further away from previously published behaviour in healthy volunteers. |
| 4666 | Computer 72
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Dynamic single slice 2D coronal lung MRI detects metronome-paced tachypnea (MPT) - induced hyperinflation in COPD patients |
| Robin Aaron Müller1,2, Filip Klimeš1,2, Andreas Voskrebenzev1,2, Lea Behrendt1,2, Till Frederik Kaireit1,2, Julian Magnus Wilhelm Glandorf1,2, Maximilian Zubke1,2, Marius Wernz1,2, Agilo Luitger Kern1,2, Martin R. Prince3,4, Christopher B. Cooper5, R. Graham Barr6, Jens M. Hohlfeld2,7,8, and Jens Vogel-Claussen1,2 | ||
1Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany, 2Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany, 3Department of Radiology, Weill Cornell Medical College, New York, NY, United States, 4Department of Radiology, Columbia College of Physicians and Surgeons, New York, NY, United States, 5Departments of Medicine and Physiology, David Geffen School of Medicine, Los Angeles, CA, United States, 6Department of Medicine, New York-Presbyterian/Columbia University Irving Medical Center, New York, NY, United States, 7Department of Respiratory Medicine, Hannover Medical School, Hannover, Germany, 8Fraunhofer Institute of Toxicology and Experimental Medicine, Hannover, Germany |
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Keywords: Lung, Lung, COPD Metronome-paced tachypnea (MPT) is a technique where a patient breathes rapidly with a fixed frequency (40 breaths / minute). MPT induces dynamic hyperinflation and allows investigation of potential stress-driven effects on ventilation parameters. Fifteen patients with chronic obstructive pulmonary disease (COPD) and thirty healthy subjects underwent MRI with a 2D coronal lung MR image acquired repeatedly with a temporal resolution of 200 ms during resting tidal breathing (RTB) and MPT. The decrease of fractional ventilation (FV) and the increase of end-expiratory lung area (EELA) during MPT was significantly higher in COPD patients compared to respective healthy subjects. |
| 4667 | Computer 73
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Metronome-paced Tachypnea-Induced Dynamic Hyperinflation on Pulmonary cine MRI in Chronic Obstructive Pulmonary Disease: SPIROMICS HF Study |
| Xuzhe Zhang1, Martin R. Prince1, Christopher B. Cooper2, Michael C. Backman1, Stephen M. Dashnaw1, Eric A. Hoffman3, Bharath Ambale-Venkatesh4, Joao A. C. Lima4, Prachi Agarwal5, Joyce D. Schroeder6, Jens Vogel-Claussen7, David A. Bluemke8, John P. Finn2, R. Graham Barr1, and Wei Shen1 | ||
1Columbia University, New York, NY, United States, 2University of California, Los Angeles, Los Angeles, CA, United States, 3University of Iowa, Iowa City, IA, United States, 4Johns Hopkins University, Baltimore, MD, United States, 5University of Michigan, Ann Arbor, MI, United States, 6University of Utah, Salt Lake City, UT, United States, 7Hannover Medical School, Hanover, Germany, 8University of Wisconsin, Madison, WI, United States |
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Keywords: Lung, Lung, chronic obstructive pulmonary disease, pulmonary cine MRI, metronome-paced tachypnea, dynamic hyperinflation, transfer learning, unsupervised domain adaptation Metronome-paced tachypnea-induced dynamic hyperinflation of the lungs is typically assessed with spirometry; this method does not measure the dynamic change in lung volume over time. We implemented metronome-paced tachypnea with cardiopulmonary cine MRI. We developed an automated lung area segmentation algorithm using unsupervised domain adaptation (UDA) to measure dynamic hyperinflation in a SubPopulations and Intermediate Outcomes In COPD and Heart Failure Study (SPIROMICS HF) sample (n=65). Preliminary results showed that the integration of metronome-paced tachypnea and pulmonary cine MRI can quantify dynamic hyperinflation; dynamic hyperinflation identified on MRI appears to be associated with COPD severity. |
| 4668 | Computer 74
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129Xe gas transfer lung MRI before and after bronchodilator inhalation in patients with asthma and/or COPD |
| Helen Marshall1, Guilhem J Collier1, Laurie J Smith1, Ho-Fung Chan1, Paul JC Hughes1, Dave Capener1, Jody Bray1, Sinoy Joseph1, Ryan Munro1, Olly Rodgers1, James Ball1, Neil J Stewart1, Graham Norquay1, Martin L Brook1, Leanne Armstrong1, Latife Hardaker2, Titti Fihn-Wikander3, Rod Hughes4, and Jim M Wild1 | ||
1University of Sheffield, Sheffield, United Kingdom, 2Priory Medical Group, York, United Kingdom, 3AstraZeneca, Gothenburg, Sweden, 4AstraZeneca, Cambridge, United Kingdom |
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Keywords: Lung, Hyperpolarized MR (Gas) Lung ventilation increases after bronchodilator inhalation in patients with asthma or COPD but there is little MRI data on how bronchodilator inhalation affects gas transfer. 117 patients with asthma and/or COPD were scanned with 129Xe gas transfer MRI before and after bronchodilator inhalation. There were no significant changes in red blood cell (RBC) / membrane (M), RBC/gas or M/gas in response to bronchodilator when all patients were considered, but RBC/gas and M/gas increased post-bronchodilator in a sub-group of patients with asthma+COPD. The amplitude of RBC oscillations increased post-bronchodilator in patients with asthma or COPD, and when all patients were considered. |
| 4669 | Computer 75
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Detection of Emphysema using Phase-Resolved functional Lung Imaging Parametric Response Mapping (PREFULPRM) |
| Andreas Voskrebenzev1,2, Till Frederik Kaireit1,2, Marcel Gutberlet1,2, Filip Klimeš1,2, Lea Behrendt1,2, Hoen-oh Shin1,2, Hans-Ulrich Kauczor3,4, Tobias Welte2,5, Frank Wacker1,2, and Jens Vogel-Claussen1,2 | ||
1Institute of Diagnostic and Interventional Radiology, Medical School Hannover, Hannover, Germany, 2Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany, 3Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany, 4Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Heidelberg, Germany, 5Clinic of Pneumology, Medical School Hannover, Hannover, Germany |
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Keywords: Lung, Data Processing Ventilation measurements using signal differences between expiratory and inspiratory respiration states gained popularity as a biomarker for ventilation abnormalities. One method, which incorpartes such measurements is Phase-resolved functional lung imaging (PREFUL). A further classification of abnormalities such as emphysema and air-trapping beyond the current gas-exchange measurement is desirable. Therefore a MR adaption of CT’s parametric-response mapping (CTPRM) method is proposed as an additional post-processing method for PREFUL. The analysis of 34 patients with chronic obstructive pulmonary disease (COPD), shows that there is a high regional (Overlap normal 91%) and total lung concordance (r>0.86) for the proposed method PREFULPRM and CTPRM. |
| 4670 | Computer 76
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Assessment of pulmonary function in pulmonary embolism using phase-resolved functional pulmonary MRI (PREFUL-MRI) under free breathing |
| Tao Ouyang1, Yichen Tang1, Chen Zhang2, Jens Vogel-Claussen3, Andreas Voskrebenzev3, Xiuqin Jia1, and Qi Yang1 | ||
1Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China, 2MR Scientific Marketing, Siemens Healthcare, Beijing, China, 3Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany |
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Keywords: Lung, Perfusion This study investigated the difference in pulmonary function (including perfusion and ventilation defects) using PREFUL-MRI between pulmonary embolism patients and healthy volunteers. Three coronal slices were acquisitor with MAGNETOM Prisma 3T MR scanner per subject. The results showed that perfusion and ventilation defect percentages derived from PREFUL-MRI in PE patients were higher than in healthy subjects. And the PREFUL-MRI parameters showed a strong correlation with spirometry parameters in PE patients. Our study suggests that PREFUL-MRI allows for the quantification of lung function under free breathing and non-contrast in PE patients, making this a promising tool for future monitoring of patients |
| 4671 | Computer 77
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Using Dynamic Mode Decomposition for Functional Lung Imaging |
| Efe Ilicak1,2, Safa Ozdemir1,2, Jascha Zapp1,2, Lothar R. Schad1,2, and Frank G. Zöllner1,2 | ||
1Computer Assisted Clinical Medicine, Heidelberg University, Mannheim, Germany, 2Mannheim Institute for Intelligent Systems in Medicine, Heidelberg University, Mannheim, Germany |
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Keywords: Lung, Data Processing Fourier Decomposition and related techniques have demonstrated the viability of obtaining regional pulmonary functions. To this end, novel post-processing techniques have been previously proposed to obtain ventilation and perfusion related information from dynamic acquisitions. To improve upon these methods, here we propose the use of an advanced data processing framework based on dynamic mode decomposition (DMD) for functional lung MRI. Phantom and in vivo results indicate that DMD achieves similar performance compared to established techniques and improves robustness in cases with fewer number of measurements. |
| 4672 | Computer 78
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Comparison of ventilation defects quantified by Technegas V-SPECT and hyperpolarized 129Xe MRI |
| Nisarg Radadia1, Yonni Friedlander2,3, Norman B Konyer2, Mobin Jamal1, Chynna Huang3, Troy Farncombe 4,5, Christopher Marriott 4,5, Christian Finley3,6,7, John Agzarian3,6,7, Myrna Dolovich1,2,3, Michael D Noseworthy 2,4,8, Parameswaran Nair1,3, Yaron Shargall3,6,7, and Sarah Svenningsen1,2,3 | ||
1Department of Medicine, Division of Respirology, McMaster University, Hamilton, ON, Canada, 2Imaging Research Centre, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada, 3Firestone Institute for Respiratory Health, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada, 4Department of Radiology, McMaster University, Hamilton, ON, Canada, 5Department of Nuclear Medicine, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada, 6Division of Thoracic Surgery, Department of Surgery, McMaster University, Hamilton, ON, Canada, 7Division of Thoracic Surgery, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada, 8Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada |
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Keywords: Lung, Hyperpolarized MR (Gas) Previous studies have demonstrated the comparability of ventilation assessed by SPECT and hyperpolarized gas MRI methods; however, these comparisons were qualitative and limited to visual scoring methods based on radiologist reporting. Thus, we quantified the relationship between ventilation-defect-percent (VDP) assessed from same-day Technegas ventilation-SPECT and hyperpolarized 129Xe MRI, in patients with early-stage lung cancer. We observed that ventilation defects quantified by Technegas V-SPECT and 129Xe MRI VDP were correlated and increased in patients with COPD. A bias towards higher Technegas V-SPECT VDP was detected and may be explained by differences in contrast agent properties, image acquisition conditions, and/or quantification pipelines. |
| 4673 | Computer 79
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Effect of Kaftrio therapy on pulmonary ventilation derived by 3D phase-resolved functional lung MRI in cystic fibrosis patients |
| Filip Klimeš1,2, Andreas Voskrebenzev1,2, Marcel Gutberlet1,2, Milan Speth1,2, Robert Grimm3, Martha Dohna1, Gesine Hansen2,4, Frank Wacker1,2, Diane Renz1, Anna-Maria Dittrich2,4, and Jens Vogel-Claussen1,2 | ||
1Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany, 2Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany, 3MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 4Department for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany |
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Keywords: Lung, Lung Kaftrio therapy was shown to improve global clinical ventilation parameters in cystic fibrosis (CF) patients. 3D phase-resolved functional lung (PREFUL) MRI offers a contrast-free assessment of pulmonary ventilation during free breathing. The aim of this study was to determine whether 3D PREFUL parameters are suitable to measure response to Kaftrio therapy and their association with clinical outcomes in CF patients. All assessed MRI and clinical parameters significantly improved after initiation of Kaftrio. Relative change between baseline and post-treatment scans of 3D PREFUL ventilation defect percentage maps was in agreement with forced expiratory volume in 1 second and lung clearance index. |
| 4674 | Computer 80
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Same-day Comparison of 129Xe MRI Ventilation Across Two MRI Manufacturers |
| Rachel L Eddy1,2,3, Vanessa M Diamond2, Girija Bhatnagar2, Alexandra Schmidt1, Jonathon A Leipsic1,4, Don D Sin1,3, Bradley S Quon1,3, and Jonathan H Rayment2,5 | ||
1Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada, 2BC Children's Hospital Research Institute, Vancouver, BC, Canada, 3Division of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, BC, Canada, 4Department of Radiology, University of British Columbia, Vancouver, BC, Canada, 5Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada |
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Keywords: Lung, Hyperpolarized MR (Gas) Hyperpolarized 129Xe gas MRI (XeMRI) is gaining traction globally as a primary endpoint in clinical trials, however it is unknown how images and measurements directly compare across different MRI scanner platforms. Here we compared same-day ventilation XeMRI across two MRI manufacturers at two sites in Vancouver Canada in patients with cystic fibrosis and healthy controls, to determine the interoperability across MRI platforms. Between-site ventilation images showed strong spatial overlap, and quantitative ventilation defect percent measurements showed strong agreement across all participants. These results support the use of XeMRI in multi-center studies irrespective of MRI platform. |
| 4811 | Computer 41
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Pipeline for Robust Functional Lung Imaging with Oxygen-Enhanced MRI (OE-MRI) and Independent Component Analysis (ICA) |
| Sarah Helen Needleman1, Mina Kim1, Jamie R. McClelland1, and Geoff J. M. Parker1,2 | ||
1Centre for Medical Image Computing (CMIC), Department of Medical Physics & Biomedical Engineering, University College London, London, United Kingdom, 2Bioxydyn Limited, Manchester, United Kingdom |
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Keywords: Oxygenation, Lung Analysis of dynamic lung oxygen-enhanced MRI (OE-MRI) is challenging due to the presence of substantial artefacts and poor SNR. Understanding and minimising sources of error is critical for reliable use of the method. We have created a pipeline using independent component analysis (ICA) for the automatic extraction of functional lung information from dynamic lung OE-MRI, for which confounding factors are reduced. The pipeline demonstrated good repeatability when utilised for the analysis of a scan-rescan dynamic lung OE-MRI study at 3.0 T; the algorithmic uncertainty of ICA on the analysis pipeline was found to be minimal. |
| 4812 | Computer 42
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Repeatability and reproducibility of oxygen-enhanced MRI of the lung at 3 tesla: cross-center, cross-vendor evaluation |
| Mina Kim1, Sarah H. Needleman1, Josephine H. Naish2,3, Yohn Taylor1, Marta Tibiletti2, James P. B. O’Connor4,5, and Geoff J. M. Parker1,2 | ||
1Centre for Medical Image Computing (CMIC), Department of Medical Physics & Biomedical Engineering, University College London, London, United Kingdom, 2Bioxydyn Limited, Manchester, United Kingdom, 3BHF Manchester Centre for Heart and Lung Magnetic Resonance Research (MCMR), Manchester, United Kingdom, 4Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom, 5Division of Radiotherapy and Imaging, Institute of Cancer Research, Manchester, United Kingdom |
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Keywords: Lung, Contrast Mechanisms, oxygen-enhanced MRI A recently developed protocol with a dual echo RF-spoiled gradient echo acquisition enabled simultaneous measurement of dynamic OE signal change and the substantial ∆R2* effect at 3 tesla. To progress towards clinical translation, we evaluated repeatability and reproducibility across two sites, vendors and time points. Our results demonstrate good repeatability for the quantitative and semi-quantitative indices across time points, consistent signal behaviour and repeatable ∆R2* across two sites and vendors, suggesting potential utility in multi-centre clinical studies. However, echo time dependence should be considered when interpreting percentage signal enhancement. |
| 4813 | Computer 43
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3D Free-Breathing Ultrashort Echo Time (UTE) 1H Ventilation Compared with Hyperpolarized 129Xe Ventilation |
| Fei Tan1, Rachel L. Eddy2,3, Vanessa M. Diamond2, Jonathan H. Rayment2,4, and Peder E. Z. Larson1,5 | ||
1UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, San Francisco, CA, United States, 2BC Children's Hospital Research Institute, Vancouver, BC, Canada, 3Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC, Canada, 4Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada, 5Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States |
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Keywords: Lung, Lung This abstract compares the 3D UTE 1H ventilation calculated from Motion-Compensated Low-Rank constrained reconstruction (MoCoLoR) with the hyperpolarized 129Xe ventilation for validation. The dataset covers healthy volunteers and pediatric and adult patients with cystic fibrosis (CF). We validated that 3D UTE 1H has a positively correlated VDP with the gold standard 129Xe and a high spatial VDP accuracy. |
| 4814 | Computer 44
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Evaluation of a Patient with Interstitial Lung Disease Using 3D Perfusion Maps Based on 3D Ultrashort Echo-time Imaging |
| Hyeonha Kim1,2, Seokwon Lee1, Jinil Park2, Jooae Choe3, So Hyeon Bak3, Ho Cheol Kim4, and Jang-Yeon Park1,2 | ||
1Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 2Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea, Republic of, 3Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea, Republic of, 4Department of Pulmonary and Critical Care Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea, Republic of |
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Keywords: Lung, Perfusion, Interstitial lung diseases Since vascular abnormalities are common features of interstitial lung disease, not only structural images but also functional images such as perfusion maps are required to accurately evaluate vascular abnormalities including pulmonary hypertension. In this preliminary study, we proposed a method of evaluating an interstitial lung disease (ILD) patient particularly with idiopathic interstitial pneumonia (IIP) using 3D perfusion maps as well as high-resolution 3D structural images, both of which were obtained from 3D ultrashort echo-time imaging. Fibrotic areas were well identified in the structural UTE images as well as in the perfusion maps showing increased perfusion signals in the corresponding lesions. |
| 4815 | Computer 45
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A simultaneous dual slice acquisition with spiral trajectory for morphological and functional lung assessment |
| Anne Slawig1,2, Andreas Max Weng2, and Herbert Köstler2 | ||
1University Clinic and Outpatient Clinic for Radiology, University Hospital Halle (Saale), Halle (Saale), Germany, 2Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany |
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Keywords: Lung, Data Analysis, ventilation, functional lung imaging, senceful SElf-gated Non-Contrast-Enhanced FUnctional Lung imaging (SENCEFUL) is a well-established method to determine functional lung parameters and was already successfully combined with 3D-UTE for robust ventilation quantification. Nevertheless, the evaluation of not only ventilation, but also perfusion, requires a 2D excitation, as it is based on the inflow effect. Additionally, coverage of more than one slice within short measurement times is valuable. Here, it is shown that functional information can be obtained from two slices acquired simultaneously, thus doubling the anatomical coverage of a conventional 2D acquisition. |
| 4816 | Computer 46
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Remote Pneumatic Dose Administration for 129Xe MRI: Effects on Lung Inflation and Patient Experience |
| Alexander Church1, Shou Zhang1, Junlan Lu1, Cody Blanton1, Jennifer Korzekwinski1, David Mummy1, and Bastiaan Driehuys1 | ||
1Radiology, Duke University, Durham, NC, United States |
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Keywords: Lung, Hyperpolarized MR (Gas), New Devices Hyperpolarized 129Xe MRI requires repeatable lung inflation volumes to ensure consistent and accurate data. Current dose administration techniques require specialized study personnel to not only properly coach the subject through the inhalation maneuver, but also to directly administer the 129Xe dose, often while leaning deep into the MRI bore. Since lung inflation directly affects imaging data, it is important to maximize the consistency of inflation volumes across imaging sessions. We propose a novel 129Xe gas administration device intended to mitigate lung inflation differences as well as allow for remote administration of doses from outside the bore. |
| 4817 | Computer 47
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Diffusion of 129Xe in the lung: airspace size heterogeneity and airway connectivity assessed by filter exchange imaging |
| Agilo L. Kern1,2, Marcel Gutberlet1,2, Jens M. Hohlfeld2,3,4, Frank Wacker1,2, and Jens Vogel-Claussen1,2 | ||
1Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany, 2Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany, 3Clinical Airway Research, Fraunhofer Institute for Toxicology and Experimental Medicine (ITEM), Hannover, Germany, 4Department of Respiratory Medicine, Hannover Medical School, Hannover, Germany |
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Keywords: Lung, Hyperpolarized MR (Gas) A filter exchange imaging (FEXI) sequence was developed for studying dynamic changes of apparent diffusion coefficient (ADC) in hyperpolarized 129Xe MRI, thereby probing heterogeneity and connectivity of lung airspaces. The sequence was tested in healthy volunteers and patients of chronic obstructive pulmonary disease (COPD). An initial reduction of ADC after filter application was observed in all subjects. Relative reduction and recovery rate tended to be increased in COPD. Weak/moderate correlations of initial reduction and recovery rate with ADC before filter application were observed. 129Xe FEXI lung MRI is feasible and derived quantities may be useful for disease phenotyping in COPD. |
| 4818 | Computer 48
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Feasibility and Reproducibility of Ventilation and Perfusion Imaging at a 0.35 T MR-Linac in Healthy Volunteers and Lung Cancer Patients |
| Rabea Klaar1,2, Moritz Rabe3, Thomas Gaass1,2, Moritz J. Schneider1,2,4, Ilyes Benlala1,2,5, Stefanie Corradini3, Chukwuka Eze3, Claus Belka3,6, Guillaume Landry3, Christopher Kurz3, and Julien Dinkel1,2 | ||
1Department of Radiology, University Hospital, LMU Munich, Munich, Germany, 2Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany, 3Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany, 4Antaros Medical AB, BioVenture Hub, Mölndal, Sweden, 5Univ. Bordeaux, INSERM, Centre de recherche Cardio-Thoracique de Bordeaux, U1045, F-33000 Bordeaux, France, 6German Cancer Consortium (DKTK), Munich, Germany |
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Keywords: Lung, Cancer, Ventilation, Perfusion Hybrid MR-imaging and linear accelerators for radiotherapy allow highly accurate treatment of lung cancer patients. The potential of Non-uniform Fourier Decomposition (NuFD), a non-contrast enhanced free-breathing technique that allows the assessment of lung ventilation and perfusion, was investigated in 10 healthy subjects and 2 lung cancer patients at a 0.35 T MR-Linac. Due to challenging ventilation quantification and reproducibility, two normalization strategies were proposed. Evaluation on repeated scans demonstrated clear improvement compared to uncorrected cases. First longitudinal ventilation assessment over treatment course shows promising results for the use of NuFD as treatment response monitoring tool in the clinical workflow. |
| 4819 | Computer 49
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Differentiating patients with asthma and/or chronic obstructive pulmonary disease using lung T1 and M0 |
| Paul John Clifford Hughes1, Helen Marshall1, Laurie Smith1, Demi Jakymelen1, Alberto Biancardi1, Guilhem Collier1, Ho-Fung Chan1, Martin Brook1, Joshua Astley1, Ryan Munro1, Smitha Rajaram1, Andy Swift1, David Capener1, Jody Bray1, James Ball1, Oliver Rodgers1, Bilal Tahir1, Madhwesha Rao1, Graham Norquay1, Nicholas Weatherley1, Leanne Armstrong1, Latife Hardaker2, Titti Fihn-Wikander3, Rod Hughes4, and Jim Wild1 | ||
1POLARIS, University of Sheffield MRI Unit, IICD, The University of Sheffield, Sheffield, United Kingdom, 2Priory Medical Group, York, United Kingdom, 33BioPharmaceuticals Medical, AstraZeneca, Gothenburg, Sweden, 4Early Development Respiratory, AstraZeneca, Cambridge, United Kingdom |
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Keywords: Lung, Lung Directing treatment based on diagnosis is important in patients suffering with respiratory disease. This work investigated the ability of whole-lung mean T1 and M0, and measures of heterogeneity (median coefficient of variation and its interquartile range) to differentiate between patients with asthma and/or COPD and correlated these metrics with 129Xe ventilation and diffusion MRI and pulmonary function test metrics. Measures of heterogeneity of T1 and M0 correlated with lung function test outcomes and sensitive measures of lung function derived from 129Xe MRI and had the ability to separate patients with asthma+COPD and COPD from patients with asthma alone. |
| 4820 | Computer 50
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Introduction of a Digital Lung Model for Validation and Refinement of Functional Lung Imaging Methods |
| Andreas Voskrebenzev1,2, Marcel Gutberlet1,2, Filip Klimeš1,2, Frank Wacker1,2, and Jens Vogel-Claussen1,2 | ||
1Institute of Diagnostic and Interventional Radiology, Medical School Hannover, Hannover, Germany, 2Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany |
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Keywords: Lung, Quantitative Imaging Functional lung imaging with proton MRI based on acquisition of free-breathing image-time-series gained interest during the last years, as it offers potential for ventilation / perfusion measurements without requirement for high patient compliance or administration of contrast agents. Since these methods rely on indirect surrogate measurements, validation with more direct techniques (e.g. hyperpolarized MRI), is required, which is elaborate, costly and limited. In this study a framework for a digital lung model, including artificial pathologies, is introduced and tested for different ventilation and perfusion measurements. Using the proposed method important differences were found between the methods regarding ventilation defect detection.
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| 4821 | Computer 51
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Identification of invasive adenocarcinoma in pulmonary ground-glass nodules using zero echo time magnetic resonance imaging (ZTE-MRI) |
| Qiao Zou1, Qi Wan1, Xinchun Li1, Weiyin Vivian Liu2, and Yongzhou Xu3 | ||
1Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China, 2MR Research China, GE Healthcare, Beijing, China, 3Philips Healthcare, Guangzhou, China |
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Keywords: Lung, Cancer Intra-modality and inter-reader agreements of ground-glass opacity nodule (GGN) size were good between modalities (ZTE-MRI, T2WI-FS, CT). ZTE-MRI was susceptible to motion artifacts caused by breathing and vascular pulsation and had difficulty in displaying GGNs in specific lung locations, but was sensitive to GGNs with CT values of >-455 HU, highly possibly lung invasive adenocarcinomas , giving a hint to treatment strategies. In contrast, T2WI-FS can detect a smaller size of 6 mm for GGNs than ZTE-MRI. Overall, ZTE might play a unique role in differentiating invasive adenocarcinomas from precursor glandular lesions and minimally invasive adenocarcinoma (MIA) in eligible GGNs. |
| 4822 | Computer 52
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Feasibility study of using Zero TE Sequence to evaluate pulmonary lesions: compared with CT examination |
| wang xiaoyan1 and zhang yan1 | ||
1The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China |
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Keywords: Lung, MR Value Pulmonary MRI zero-echo time (ZTE) and MRI conventional sequences were compared with thoracic computed tomography (CT) to evaluate the lesions. All participants in the study underwent chest CT, ZTE, T2-TSE, T2-HASTE, and T1-VIBE scans. ZTE can be used as a supplementary examination of CT imaging. ZTE combined with T2WI can improve the detection rate and display performance of pulmonary nodules |
| 4823 | Computer 53
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Intravoxel incoherent motion and diffusion kurtosis imaging can be used to assess the differentiation degree of non-small cell lung cancer |
| Yu Zheng1, Wenjing Huang1, Jing Zhang1, and Na Han1 | ||
1Lanzhou University Second Hospital, Lanzhou, China |
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Keywords: Lung, Lung, intravoxel incoherent motion, diffusion kurtosis imaging, differentiation degree, lung cancer The purpose of this study was to assess differentiation degree of non-small cell lung cancer (NSCLC) by using intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI) . There were statistically significant differences in D and Dapp values between the poorly differentiated group and the moderately and highly differentiated group (p＞0.05). D value had the best diagnostic efficacy in evaluating the differentiation degree of NSCLC [area under the curve (AUC) =0.773]. Our study demonstrated that D value derived from IVIM and Dapp derived from DKI can distinguish the differentiation degree of NSCLC. |
| 4824 | Computer 54
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Improved strategy for diagnosing incidental benign and malignant lung nodules during cardiac MR using volumetric multi-contrast dark blood SSFP |
| Robert R Edelman1,2, Nondas R Leloudas1, Jianing Pang3, and Ioannis R Koktzoglou1,4 | ||
1Radiology, NorthShore University HealthSystem, Evanston, IL, United States, 2Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 3Siemens Medical Solutions USA, Chicago, IL, United States, 4Pritzker School of Medicine, University of Chicago, Chicago, IL, United States |
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Keywords: Lung, Cancer, unbalanced steady state free precession Cardiovascular MR is an invaluable diagnostic tool for the heart and great vessels. As with cardiac CT, it is imperative to carefully evaluate areas outside of the heart to exclude the presence of clinically relevant lesions such as pulmonary infiltrates or lung cancer. Unfortunately, existing CMR techniques are grossly inadequate for detecting and characterizing extra-cardiac lesions. We hypothesized that prototype volumetric dark blood SSFP techniques could overcome these limitations and tested them in patients undergoing CMR. In this pilot study, dark blood SSFP outperformed standard CMR techniques for the evaluation of incidental pulmonary lesions, including benign nodules and cancer. |
| 4825 | Computer 55
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Follow-up non-contrast-enhanced MRA using balanced turbo field-echo sequence for visceral artery aneurysm after endovascular therapy |
| Nobuyuki Kawai1, Yoshifumi Noda1, Tetsuro Kaga1, Kimihiro Kajita2, Hiroshi Kawada1, and Masayuki Matsuo1 | ||
1Radiology, Gifu University, Gifu, Japan, 2Radiology Services, Gifu University Hospital, Gifu, Japan |
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Keywords: Vessels, Blood vessels Contrast-enhanced MRA has been shown to be a safe and effective way to provide posttreatment visceral artery aneurysm (VAA) follow-up. However, this study cannot be performed for those who have contraindications to MR contrast agents. Balanced turbo field-echo (bTFE) sequence enables static and moving fluids to be shown as high intensity without the use of gadolinium. We assessed the feasibility of follow-up non-contrast-enhanced MRA using bTFE sequence for posttreatment VAA. Combined bTFE and unenhanced fat-suppressed T1-wighted (FS-T1W) images demonstrated excellent performance for the diagnosis of aneurysm reperfusion comparable to combined dynamic contrast-enhanced and unenhanced FS-T1W images. |
| 4826 | Computer 56
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The application of REACT based on CS-AI for abdominal vessel imaging in kidney-pancreas transplantation and diabetic nephropathy patients |
| Hongbin Wang1, Wenyun Liu1, Lei Zhang1, Zhuo Wang1, Ying Qiu1, Yuejiao Sun1, Dandan Guo1, and Yi Zhu2 | ||
1Department of Radiology, the First Hosipital of Jilin University, Changchun, China, 2Philips Healthcare, Beijing, China |
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Keywords: Vessels, Image Reconstruction, REACT Patients with diabetic nephropathy and terminal renal insufficiency and those requiring combined kidney-pancreas transplantation should avoid using gadolinium-based contrast agents MR Angiography due to its potential nephrotoxicity. Compressed SENSE (CS) Artificial Intelligence (CS-AI) reconstructed Relaxation-Enhanced Angiography without Contrast and Triggering (REACT) sequence provides a simultaneous depiction of abdominal arterial and venous vessels. This study aims to improve the image quality of REACT sequence with CS-AI and further quantitatively evaluate the image quality in patients with diabetic nephropathy, and CS-AI reconstructed REACT sequence was first applied to image transplanted renal arteries in patients with combined kidney-pancreas transplantation. |
| 4827 | Computer 57
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Common Carotid Arteries as Surrogate to the Internal Carotid Arteries in the MRI Quantification of Neurovascular Compliance |
| Marianne Nabbout1, Michael C Langham1, and Felix W Wehrli1 | ||
1Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States |
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Keywords: Vessels, Blood vessels, Neurovascular Compliance Neurovascular compliance (NVC) is a vascular property involving the intracranial vascular arterial tree expressed as the arterial blood volume in response to a transient systolic blood pressure increase. NVC attracted attention due to its association with neurovascular diseases. We computed the NVC at the common carotid arteries with cine phase-contrast MR. This measure was shown to be significantly correlated with the quantification of the actual NVC in N=17 subjects (r= 0.84; p= 0.00002). Aortic pulse wave velocity, marker of aortic stiffness, was not found to be correlated with any of the two NVC computations. |
| 4828 | Computer 58
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Mitigation of water-fat swap caused by off-resonance effects in Dixon-based non-contrast-enhanced MR angiography |
| Teresa Nolte1, Jihun Kwon2, Mark Terwolbeck1, Masami Yoneyama2, Christiane Kuhl1, and Shuo Zhang3 | ||
1Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany, 2Philips Japan, Tokyo, Japan, 3Philips GmbH Market DACH, Hamburg, Germany |
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Keywords: Vessels, Vessels, non-contrast-enhanced angiography, REACT Recently introduced Dixon-based MR angiographic techniques have shown promise for non-contrast enhanced vascular imaging, though off-resonance effects induced by B0 inhomogeneities may result in water-fat separation errors (i.e., swaps) during Dixon water fat separation, typically seen in a large field of view at high field strength. In this work, we investigate possible swaps via numeric simulations and in vivo measurements with various shimming techniques as well as reconstruction options for B0 demodulation. Initial results may suggest practical methods to mitigate water-fat swaps and improve technical robustness even in challenging applications. |
| 4829 | Computer 59
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Ultrafast and versatile non-contract-enhanced MRA for visualization of whole-body dynamic blood flow using flow-sensitive CINE imaging |
| Isao Shiina1, Michinobu Nagao2, Masami Yoneyama3, Yasutomo Katsumata3, Jihun Kwon3, Yasuhiro Goto1, Yutaka Hamatani1, Kazuo Kodaira1, Takumi Ogawa1, Mana Kato1, and Shuji Sakai2 | ||
1Department of Radiological Services, Tokyo Women's Medical University, Tokyo, Japan, 2Department of Diagnostic imaging & Nuclear Medicine, Tokyo Women's Medical University, Tokyo, Japan, 3Philips Japan, Tokyo, Japan |
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Keywords: Vessels, Blood vessels Flow-sensitive CINE imaging is non-contrast-enhanced MRA technique based on the Turbo Field Echo Planar Imaging (TFEPI). Because TFEPI is sensitive to blood flow, the MRA acquired with flow-sensitive CINE imaging includes dynamic flow information. In this study, we applied flow-sensitive CINE imaging to a variety of body parts such as trunk and lower extremity. Volunteer data demonstrated its usefulness to a variety of body parts. The combination of anatomical vascular pattern and the dynamic flow information may enable comprehensive assessment of whole-body arteries. |