To begin searching the abstracts, please use the search feature above.
| 1113 | Diagnosis of Breast Cancer Using Radiomics Models Built Based on DCE-MRI and Mammography Compared to BI-RADS Reading | |
| Zhongwei Chen1, Yang Zhang2, Jiejie Zhou1, Youfan Zhao1, Haiwei Miao1, Huiru Liu1, Shuxin Ye1, Nina Xu1, Meihao Wang1, and Min-Ying Su2 | ||
1Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, wenzhou, China, 2Department of Radiological Sciences, University of California, Irvine, CA, United States |
||
A total of 200 patients receiving both DCE-MRI and mammography were analyzed, including 146 malignant and 56 benign lesions. For each lesion, 3D tumor mask was done using fuzzy-C-means clustering algorithm. Three DCE parametric maps were generated, and the radiomics features were extracted from these maps by PyRadiomics. Five models were built based on DCE-MRI, mammography, and the combination. The BI-RADS score was obtained from the radiology reports for comparison. The model built based on all MRI and mammography features yielded the highest accuracy of 89.6%, and had significantly better diagnostic performance than BI-RADS using threshold of 4A or 4B. |
| 1114 | Predicting Underestimation of Invasive Cancer in Patients with Core-needle Biopsy-diagnosed Ductal Carcinoma in Situ using Deep Learning | |
| Luu-Ngoc Do1, Chae Yeong Im2, Jae Hyuk Park2, So Yeon Ki3, Ilwoo Park2,4,5, and Hyo Soon Lim2,3 | ||
1Department of Radiology, Chonnam National University, Gwangju, Korea, Republic of, 2College of Medicine, Chonnam National University, Gwangju, Korea, Republic of, 3Department of Radiology, Chonnam National University Hwasun Hospital, Hwasun, Korea, Republic of, 4Department of Artificial Intelligence Convergence, Chonnam National University, Gwangju, Korea, Republic of, 5Department of Radiology, Chonnam National University Hospital, Gwangju, Korea, Republic of |
||
This study aims to explore the effectiveness of deep learning algorithms for distinguishing pure (noninvasive) ductal carcinoma in situ (DCIS) from invasive disease for patients showing DCIS in core-needle biopsy using MRI. Preoperative axial dynamic contrast-enhanced MRI data from 352 patients were used to train, validate and test the two-step convolutional neural network (CNN) utilizing a recurrent model. Our model produced an accuracy of 69.4% and AUC of 0.721. The comparison between the proposed model and a 2D or 3D model suggests that the sequential information may provide an important support for occult invasive cancer in patients diagnosed with DCIS. |
| 1115 | Combination of pharmacokinetic parameters and texture features of DCE-MRI for predicting preoperative classification of breast cancer | |
| Xia Wu1,2,3, Zhou Liu4, Meng Wang4, Zhe Ren1,2,3, Ya Ren4, Jie Wen4, Qian Yang4, Xin Liu1,2,3, Hairong Zheng1,2,3, and Na Zhang1,2,3 | ||
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Synopsis, ShenZhen, China, 2Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, ShenZhen, China, 3CAS key laboratory of health informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, ShenZhen, China, 4Department of Radiology, National Cancer Center/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, ShenZhen, China |
||
We have achieved preoperative classification of breast cancer by combination of pharmacokinetic parameters and texture features using machine learning. Using the information available in each feature space, an appropriate feature fusion method using information from the two feature spaces can help the classification process and improve diagnosis accuracy. Among them, SVM and KNN have better performance. |
| 1116 | Classification of Breast Cancer Molecular Subtypes on DCE-MRI Using Radiomics Analysis with Various Machine Learning Algorithm | |
| Yan-Lin Liu1, Yang Zhang1,2, Jeon-Hor Chen1,3, Siwa Chan4, Jiejie Zhou5, Meihao Wang5, and Min-Ying Su1 | ||
1Department of Radiological Sciences, University of California, Irvine, CA, United States, 2Department of Radiation Oncology, Rutgers-Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ, United States, 3Department of Radiology, E-Da Hospital and I-Shou University, Kaohsiung, Taiwan, 4Department of Medical Imaging, Taichung Tzu-Chi Hospital, Taichung, Taiwan, 5Department of Radiology, The First Affiliate Hospital of Wenzhou Medical University, Wenzhou, China |
||
Two datasets were used, 107 cases for training and 94 cases for testing. Patients were classified into three subtypes: TN, HER2+, and (HR+/HER2-). Three heuristic DCE parametric maps were generated from DCE-MRI. PyRadiomics was applied to extract features. Five machine learning algorithms were implemented to build models. The classification accuracy in training dataset was 84.3%, 77.2%, 75.5%, 74.3%, 69.1% for SVM, Decision tree, LDA, KNN, Naïve Bayes, respectively. In binary classification for TN vs. Non-TN, accuracy was 91.0% in training and 88.2% in testing datasets. For HER2+ vs. HER2-, accuracy was 90.4% in training and 86.2% in testing datasets. |
| 1117 | Characterization of Breast Tumor using Machine Learning based upon Multi-parametric MRI Features. | |
| Snekha Thakran1, Rakesh Kumar Gupta2, and Anup Singh1,3 | ||
1Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, Delhi, India, 2Department of Radiology, Fortis Memorial Research Institute, Haryana, Gurgaon, India, Delhi, India, 3Department of Biomedical Engineering, All India Institute of Medical Science, New Delhi, India, Delhi, India |
||
Multi-parametric MRI(mp-MRI) has shown promising outcomes with high sensitivity and accuracy in the characterization of breast tumor. Quantitative analysis of mp-MRI and texture features with machine learning approach have also shown potential in improving accuracy of breast tumor classification. The objective of this study was to differentiate low-grade vs. high-grade breast tumor using machine learning with optimized feature vector obtained from mp-MRI data. The study included mp-MRI data of 35 patients with breast cancer. The combination of support-vector-machine(SVM) with Wrapper method using Adaptive-Boosting(AdaBoost) technique resulted in high sensitivity(0.94±0.07), specificity(0.80±0.05), and accuracy(0.90±5.48) in classification of low-grade vs. high-grade tumors. |
| 1118 | A meta-analysis of the diagnostic performance of machine learning–based MRI for axillary lymph node metastasis in breast cancer patients | |
| Chen Chen1, Fabao Gao1, and Xiaoyue Zhou2 | ||
1Department of Radiology, West China Hospital, Chengdu, China, 2MR Collaboration, Siemens Healthineers Ltd., Shanghai, China |
||
Axillary lymph node dissection (ALND) is the gold standard for evaluating axillary lymph node metastasis (ALNM), but ALND may not confer a survival advantage. Therefore, reliable, noninvasive approaches for preoperative prediction of ALNM have been needed. The use of machine learning (ML) in predicting ALNM in breast cancer patients has been reported. We have conducted a large-sample-size assessment and a meta-analysis of published studies concerning the diagnostic performance of ML-based MRI in predicting ALNM in breast cancer patients. |
| 1119 | Early prediction of pathologic complete response to neoadjuvant systemic therapy for triple-negative breast cancer using deep learning | |
| Zijian Zhou1, David E. Rauch1, Jong Bum Son1, Benjamin C. Musall1, Nabil A. Elshafeey2, Jason B. White3, Mark D. Pagel4, Stacy Moulder3, and Jingfei Ma1 | ||
1Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 2Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 3Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 4Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, United States |
||
Prediction of response to neoadjuvant systemic therapy for triple-negative breast cancer is important for patient management. Here we constructed a deep learning convolutional and recursive neural network ensemble for early prediction of pathologic complete response utilizing pre-treatment DCE and DWI breast MRIs. Images from 135 patients were partitioned into training/validation/testing groups with the ratio of 80/20/35. For the testing group, the network achieved an accuracy of 69%, with the sensitivity of 75% and specificity of 63%. The area under the receiver operating characteristic curve was 0.68. |
| 1120 | Application of Two Deep Learning Networks for Diagnosis of Breast Cancer on MRI: Automatic Detection Using Mask R-CNN Followed by Classification Using ResNet50 | |
| Yang Zhang1,2, Yan-Lin Liu2, Ke Nie1, Jiejie Zhou3, Siwa Chan4, Vivian Youngjean Park5, Min Jung Kim5, Zhongwei Chen3, Jeon-Hor Chen2,4, Meihao Wang3, and Min-Ying Su2 | ||
1Department of Radiation Oncology, Rutgers-Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ, United States, 2Department of Radiological Sciences, University of California, Irvine, CA, United States, 3Department of Radiology, The First Affiliate Hospital of Wenzhou Medical University, Wenzhou, China, 4Department of Medical Imaging, Taichung Tzu-Chi Hospital, Taichung, Taiwan, 5Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea, Republic of |
||
Mask R-CNN and ResNet50 were implemented to search the entire breast MRI to identify suspicious lesions, and then to further evaluate their likelihood of malignancy. The dataset included 103 malignant and 73 benign lesions in 153 patients. In detection phase using Mask R-CNN, 101 malignant, 48 benign, and 130 normal enhancing tissues were detected as suspicious. When putting them into ResNet50 for characterization, 99 cancers were correctly diagnosed as malignant, and only 16 benign lesions and 16 normal enhancing tissues remained as likely malignant. The true positive rate was 99/103=96%, and many detected false positives were dismissed during classification phase. |
| 1121 | A Parsimonious Assessment of Breast Density Classes from Quantitative, AI-based FGT Volume Segmentations | |
| Pablo F. Damasceno1,2, Tatiana Kelil1,2, Rutwik Shah1,2, Bruno Astuto Arouche Nunes1,2, Jason Crane1,2, and Sharmila Majumdar1,2 | ||
1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Center for Intelligent Imaging, University of California San Francisco, San Francisco, CA, United States |
||
Given its potential importance as a biomarker of breast cancer risk, a reliable and objective quantitative measurement of Fibroglandular tissue (FGT) with limited intra or inter-rater variability will be invaluable in clinical practice. Currently, the amount of FGT in breast MRIs is reported via a 4-level qualitative system. We investigate the relationship between these classes and the amount of FGT, obtained via deep-learning segmentations. We find that the distribution of FGT in these classes deviates significantly from quartiles, but more uniform distributions can be achieved by emulating the radiologist’s workflow during clinical reporting. |
| 1122 | Correction of Artifacts Induced by B0 Inhomogeneities with RPG on a Breast Diffusion Phantom | |
| Lauren K Fang1, Ana E Rodriguez-Soto1, Summer J Batasin2, Kathryn E Keenan3, and Rebecca A Rakow-Penner2 | ||
1Radiology, University of California San Diego, La Jolla, CA, United States, 2University of California San Diego, La Jolla, CA, United States, 3National Institute of Standards and Technology, Boulder, CO, United States |
||
Diffusion-weighted imaging (DWI) has shown potential to diagnose and monitor breast cancer, but is limited in part due to geometric distortion artifacts that affect echo-planar imaging. Generating distortion-free images is a key step towards its clinical implementation. Here, we investigated the effectiveness of artifact-reduction data collection strategies (i.e. parallel imaging DWI and reduced field-of-view DWI) in combination with reverse polarity gradient post-processing in correcting for geometric distortion artifacts. |
| 1123 | Influence of gadolinium-based contrast agent on DWI and ADC values in breast lesions | |
| Kay van der Hoogt1, Robert-Jan Schipper1, Ronni Wessels1, Cees de Graaf1, Arjan te Boekhorst1, Leon ter Beek2, Regina Beets-Tan1, and Ritse Mann1 | ||
1Radiology, the Netherlands Cancer Institute – Antoni van Leeuwenhoek, Amsterdam, Netherlands, 2Medical Physics, the Netherlands Cancer Institute – Antoni van Leeuwenhoek, Amsterdam, Netherlands |
||
It is advocated to perform breast DWI-acquisitions before contrast administration [1]. However, performing DWI after contrast MRI might be more practical in a clinical context. Several studies [2] evaluated whether performing breast MRI before or after contrast administration impacts the DWI classifying properties. However, previous research was often based on an interpatient analysis. Therefore, we performed a retrospective intra-patient analysis on perfusion-free ADC-maps before and after contrast administration. A decrease in ADC was observed in post-contrast ADC-values. This was independent of the B0-field strength, and similar for benign and malignant lesions.
|
| 1124 | A Comparison of different models of diffusion-weighted MRI in distinguishing benign and malignant breast lesions | |
| Muzhen He1, Huiping Ruan1, Mingping Ma1, Zhongshuai Zhang2, and Robert Grimm2 | ||
1Radiology, Provincial Clinical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China, 2Siemens Healthcare Ltd, Shanghai, China |
||
This study aims to analyze the value of ADC, IVIM and DKI in differentiating benign and malignant breast nodules. The combination of all the quantitative diffusion parameters is also evaluated. The value of ADC, IVIM-D, KDI-K and DKI-D can be used as a diagnostic tool for evaluating benign and malignant breast lesions. Compared with IVIM-D, DKI-K and DKI-D, ADC value is the best single discriminative parameters to differentiate breast lesions. Further, the combination of ADC and DKI-K value shows the best diagnostic efficacy. |
| 1125 | A BI-RADS like lexicon for Breast DWI: Proposal and early evaluation | |
| Mami Iima1,2, Aika Okazawa3, Ryosuke Okumura3, Sachiko Takahara4, Tomotaka Noda3, Taro Nishi3, Yuji Nakamoto1, and Masako Kataoka1 | ||
1Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan, 2Clinical Innovative Medicine, Institute for Advancement of Clinical and Translational Science, Kyoto University Hospital, Kyoto, Japan, 3Radiology, Kitano Hospital, The Tazuke Kofukai Medical Research Institute, Osaka, Japan, 4Breast Surgery, Kitano Hospital, The Tazuke Kofukai Medical Research Institute, Osaka, Japan |
||
Our proposed DWI reading method based on the BI-RADS lexicons from multiple b-value images had comparable specificity and NPV to the standard BI-RADS. The DWI reading method might increase diagnostic confidence in differentiating malignant and benign breast tumors. Excellent to substantial agreement was observed for DWI reading. Substantial-perfect agreement was observed in lesion characteristics and fibrograndular tissues, according to an adjusted BI-RADS lexicon for lesion classification. These results suggest that DWI reading methods might be applicable in a clinical setting, however, the agreement is moderate for non-mass lesions, which is still challenging for clinical application. |
| 1126 | Evaluation of the efficacy of therapy for breast cancer using DWI and DCE-MRI based on acquired radial golden-angle compressed sensing | |
| Haiyun Wang1, Qian Xu1, Gaofeng Shi1, Lijia Wang1, Qinglei Shi2, and Chen Zhang2 | ||
1CTMRI, The Fourth Hospital of Hebei Medical University, Shijiazhuang,Hebei, China, 2MR Scientific Marketing,Siemens Healthcar, Beijing, China |
||
In this study, we studied the feasibility of GRASP based DCE technique and readout-segmented DWI technique in early prediction and evaluation of breast cancer response to neoadjuvant chemotherapy. We found the combination of these two techniques demonstrated great potential in evaluating the response of breast cancer to neoadjuvant therapy. |
| 1127 | Accuracy and Precision of a Breast Diffusion Phantom Across 3T Scanners | |
| Lauren K Fang1, Ana E Rodríguez-Soto1, Kathryn E Keenan2, and Rebecca A Rakow-Penner1 | ||
1Radiology, University of California San Diego, La Jolla, CA, United States, 2National Institute of Standards and Technology, Boulder, CO, United States |
||
Diffusion-weighted imaging (DWI) has shown potential to diagnose and monitor breast cancer by differentiating benign and malignant lesions. Malignancy-specific cutoff values for DWI estimates have been difficult to establish due to variability across scanners and imaging sites. Thus, understanding the accuracy and precision of these quantitative methods may inform clinical implementation of DW-MRI. Here, we investigated the accuracy and precision of ADC values within a breast phantom across four 3T MRI scanners by the same vendor. |
| 1128 | Evaluation of Lactating Breasts Using Diffusion Tensor Magnetic Resonance Imaging: A Feasibility Study. | |
| Anabel M Scaranelo1, Hadassa Degani2, Dov Grobgeld3, Vivianne Freitas1, Shelley Westergard4, Christine Elser5, and Edna Furman-Haran3 | ||
1Medical Imaging, University of Toronto, Toronto, ON, Canada, 2DDE MRI Solutions Ltd., Tel Aviv, Israel, 3Weizmann Institute of Science, Rehovot, Israel, 4Princess Margaret Cancer Center, Toronto, ON, Canada, 5University of Toronto, Toronto, ON, Canada |
||
The performance of breast DTI in the diagnosis of breast cancer in high-risk lactating patients as compared to DCE imaging was prospectively assessed. The study included 38 patients of which six were diagnosed with breast cancer. All six cancers were detected by DTI and showed significantly lower diffusion coefficients and lower anisotropy in comparison to contralateral normal breast tissue. Sensitivity, specificity and accuracy were respectively, 100%, 93.2%, 93.8% for DTI and 66.7%, 83.8% and 82.5% for DCE. The results showed the potential of breast DTI as an aid in the diagnostic workup of high-risk women during the lactation period. |
| 1129 | Feasibility of Using a Deep Learning Reconstruction to Increase Protocol Flexibility for Breast MRI | |
| Timothy Allen1,2, Leah C Henze Bancroft2, Lloyd Estkowski3, Ty A Cashen3, Frederick Kelcz2, Frank R Korosec1,2, Roberta M Strigel1,2,4, Orhan Unal1,2, and James H Holmes2 | ||
1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Global MR Applications and Workflow, GE Healthcare, Madison, WI, United States, 4Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI, United States |
||
A deep learning reconstruction was evaluated for use in T2w breast MRI. Breast radiologists scored deep learning (DL) images significantly higher than non-DL images in four categories: artifacts, perceived signal-to-noise ratio, sharpness, and overall quality. DL was then used to improve the quality of high-resolution T2w breast series acquired in clinically-acceptable scan times. High resolution protocols typically require compromise between scan time and image quality. However, implementation of a deep learning reconstruction allowed for shorter scan times while maintaining diagnostic image quality. A deep learning reconstruction could allow for a clinically-feasible, high-resolution T2w acquisition. |
| 1130 | Quantitative evaluation of different models of diffusion-weighted MRI for the correlation with molecular subtype of breast cancer | |
| Muzhen He1, Huiping Ruan1, Mingping Ma2, Zhongshuai Zhang3, and Robert Grimm3 | ||
1Radiology, Provincial Clinical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China, 2Provincial Clinical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China, 3Siemens Healthcare Ltd, Shanghai, China |
||
This study aimed to compare the performance of different diffusion models of，including the mono-exponential, intravoxel incoherent motion (IVIM) model and the diffusion kurtosis imaging (DKI) model，for the correlation with molecular subtype and molecular prognostic factors. The results indicate that ADC, IVIM-D, DKI-D can be used to differentiate luninal B group from others molecular subtype. Quantitative MR diffusion parameters, such as ADC ,DKI-K, DKI-D , IVIM-FP and IVIM-D were significantly associated with HER2 overexpression, Ki-67 proliferation status and histological grade in patients with breast cancer. |
| 1131 | Differentiating breast adenosis and breast cancer lesions: Value of Synthetic MRI | |
| Peiying Zhu1, Xiaoan Zhang1, Lin Lu1, Xin Zhao1, Qingna Xing1, Yafei Guo1, Kaiyu Wang2, Jinxia Guo2, Xueyuan Wang1, and Penghua Zhang1 | ||
1Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, zhengzhou, China, 2GE Healthcare, MR Research China, Beijing, China, zhengzhou, China |
||
Synthetic MRI is able to obtain various image comtrasts and quantitative parameters.These parameters( T1, T2, and PD values) directly reflect the composition of the tissue.The objective of this study was to assess Synthetic magnetic resonance imaging (MRI) ability for differentiation between breast adenosis and breast cancer.Our results show that show that Synthetic MRI is a useful tool that can be utilised to discriminate between breast adenosis and breast cancer. |
| 1132 | Clinical utility of breast DWI in the assessments of breast lesions using different b values | |
| Mami Iima1,2, Maya Honda1, Rie Ota1, Masako Kataoka1, Masakazu Toi3, and Yuji Nakamoto1 | ||
1Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan, 2Clinical Innovative Medicine, Institute for Advancement of Clinical and Translational Science, Kyoto University Hospital, Kyoto, Japan, 3Breast Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan |
||
We have 1) assessed the clinical utility of DWI in the diagnosis of breast lesions using DW-based BI-RADS lexicons and lesion conspicuity and 2) investigated the diagnostic performance of breast lesions based on DW-based BI-RADS category by 3 radiologists using breast DW images with b=800 or b=1500 s/mm2. Agreement in DW-based BI-RADS categories tended to be higher in b1500 compared to b800 DW images. Diagnostic performance based on b800 and b1500 DW images was not uniform among 3 readers, which highlight the necessity and importance of the standardization on reading protocols and experience from DWI readers. |
| 1133 | Histogram analysis of synthetic MRI parameters correlations with prognostic factors and molecular subtypes in invasive ductal breast cancer | |
| Qin Li1, Pu-Yeh Wu2, and Yajia Gu1 | ||
1Fudan University Shanghai Cancer Center, Shanghai, China, 2GE Healthcare, Beijing, China |
||
This study quantitatively evaluated intra-tumoral heterogeneity through histogram analysis of synthetic MRI parameters, and determined correlations with prognostic factors and molecular subtypes of breast IDC. We found that IDC with high nuclear grade had higher PD10th, PDmean, PDmedian and PDmax. PDmedian was higher in IDC with HER2 positivity. T110th was higher in cancers with PR negativity. Cancers with hormone receptornegativity had higher T210th, T2mean and T2median than that with hormone receptor positivity. Overall, we demonstrated that whole-tumor histogram-based imaging features derived from synthetic MRI correlated with prognostic factors and may be considered a non-invasive approach for discriminating IDC subtypes. |
| 1134 | Quantitative transport mapping for classifying malignant breast lesion: Comparison with kinetic modeling and enhancement characteristics | |
| Qihao Zhang1, Michele B Drotman1, Christine Chen1, Thanh Nguyen1, Pascal Spincemaille1, and Yi Wang2 | ||
1Weill Cornell Medical College, New York, NY, United States, 2Cornell University, New York, NY, United States |
||
We evaluate quantitative transport mapping (QTM) based on the inversion of transport equation without any arterial input function (AIF) for automatically postprocessing dynamic contrast enhanced MRI (DCE-MRI) to differentiate malignant and benign breast tumors using biopsy pathology as reference and comparing with traditional Kety’s method and enhancement curve characteristics (ECC). Automated QTM velocity was found to be the most accurate, then ECC enhancement amplitude with manual ROI, and lastly Kety’s Ktrans with a manual AIF for differentiating malignant from benign breast tumor. |
| 1135 | Feasibility of respiratory self-gated free breathing supine breast DCE-MRI using data-driven model consistency condition reconstruction | |
| Ping N Wang1, Julia V Velikina2, Alexey A Samsonov2, Lloyd Estkowski3, Ty A Cashen3, Frederick Felcz2, Roberta M Strigel1,2,4, Frank R Korosec1,2, and James H Holmes2 | ||
1Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Global MR Applications & Workflow, GE Healthcare, Madison, WI, United States, 4Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI, United States |
||
Advanced acquisition and reconstruction methods have been proposed to improve spatial and temporal resolution for prone breast DCE. However, limited work has been performed in the supine setting, which is used in most downstream clinical services including surgery and biopsy. In this work, we propose a radial acquisition combined with self-gating and MOCCO reconstruction. We assess performance of these methods using a simulated breast phantom with respiratory motion and contrast kinetics allowing evaluation of reconstruction accuracy against the assigned ground truth. Evaluation of both spatial and temporal quality was also performed in a first in-vivo patient volunteer. |
| 1136 | Increased Saturated Fatty Acid Fraction in the Adipose Tissue Near Malignant Tumors in Breast Cancer Patients | |
| Mehran Baboli1, Pippa Storey2, Terlika Pandit Sood2, Justin Fogarty2, Melanie Moccaldi2, Alana Lewin2, Linda Moy2, and Sungheon Gene Kim1 | ||
1Radiology, Weill Cornell Medicine, New York, NY, United States, 2Radiology, NYU Langone Health, New York, NY, United States |
||
We assessed the distribution of saturated fatty acid (SFA) in the adipose tissue around malignant tumors and the whole breast of patients with benign and malignant lesions. Bilateral gradient echo spectroscopic imaging sequence was acquired simultaneously. A voxel-wise analysis in the frequency domain was then applied to measure the SFA in each breast's adipose tissues and peri-tumoral region. Our results showed that the SFA was significantly higher around the malignant tumor than on the contralateral side, while no significant changes were observed with benign lesions. The results indicate that the SFA may be closely associated with the malignancy of lesions. |
| 1137 | The value of IVIM-DWI in early prediction of efficacy of neoadjuvant chemotherapy for breast cancer | |
| Ting-ting Lin1 and Jiang-ning Dong2 | ||
1Radiology Department, Anhui Provincial Cancer Hospital, Hefei, China, 2Radiology department, Anhui Provincial Cancer Hospital, Hefei, China |
||
The aim of our study was to investigate the early predictive value of IVIM-DWI in neoadjuvant chemotherapy for breast cancer. 43 cases of breast cancer confirmed by pathological puncture biopsy in our hospital were enrolled in this study. Four courses of neoadjuvant chemotherapy were used to evaluate the efficacy. The conclusion obtained via the present study is IVIM-DWI can predict the early curative effect of neoadjuvant chemotherapy for breast cancer and evaluate its effectiveness. It can assist conventional MRI to evaluate the curative effect. |
| 1138 | Peri-tumoural spatial distribution of lipid composition and tubule formation in breast cancer | |
| Kwok Shing Chan1,2, Sai Man Cheung1, Nicholas Senn1, Yazan Masannat3,4, Ehab Husain4,5, Steven D Heys3, and Jiabao He1 | ||
1Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom, 2Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands, 3Breast Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 4School of Medicine, University of Aberdeen, Aberdeen, United Kingdom, 5Pathology Department, Aberdeen Royal Infirmary, Aberdeen, United Kingdom |
||
Lipid composition in breast has a major role in breast cancer prevention, with deregulation of lipid metabolism identified in BRCA1/2 genetic mutation carriers. Neoplastic tubule formation can infiltrate adipose tissue in peri-tumoural region, with low tubular differentiation indicating a poorer prognosis. Lipid composition measurement through biochemical extraction is invasive, while conventional spectroscopic imaging demands an intolerably long acquisition time. Novel method using chemical shift-encoded imaging (CSEI) allows lipid composition mapping of the whole breast in a clinically acceptable timeframe. We set out to examine the relationship between peri-tumoural lipid composition and tubule formation using CSEI in breast tumours. |
| 1139 | Differential Sub sampling with Cartesian Ordering in Differentiating Benign and Malignant Lesions of the Breast | |
| Yafei Guo1, Lin Lu1, Meiying Cheng1, Kaiyu Wang2, Jinxia Guo2, Xin Zhao1, and Xiaoan Zhang1 | ||
1the Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2GE Healthcare, MR Research China, Beijing, China |
||
Accurate characterization of clinically-indeterminate breast masses before surgery is crucial for proper disease management. While DCE-MRI has emerged as a problem-solving technique, traditional DCE-MRI still lacks a certain quantitative standard because of its technical defects. In this study, DISCO, as a new dynamic contrast enhanced technique, was used to scan breast lesions, and the effectiveness of its parameters in the diagnosis and differential diagnosis of benign and malignant lesions was analyzed. |
| 1140 | Combination of IVIM with DCE-MRI in diagnosis and prognostic evaluation of breast cancer | |
| Yurong Zheng1, Rui Wang1, Li Li1, Haoyuan Li1, Pengfei Wang1, Tiejun Gan1, Jing Zhang1, and Kai Ai2 | ||
1Department of Magnetic Resonance, LanZhou University Second Hospital, Lanzhou, China, 2Philips Healthcare, Xi’an, China |
||
Intravoxel incoherent motion (IVIM) combined with Dynamic Contrast Enhanced MRI (DCE-MRI) are meaningful MRI techniques applied to breast cancer. This study used DCE-derived parameters (voiume translocation constant, Ktrans and rate constant, Kep) and IVIM-derived parameters (diffusion coefficient, D and perfusion fraction, f) to perform correlation analysis with prognosis of breast cancer indexes (ER, PR, her-2, Ki-67). The preliminary results showed that there were correlations between Ktrans, Kep, D and prognostic factors of breast cancer. Our research may provide more important clinical evidence for the treatment and prognosis of breast cancer. |
| 1141 | The Performance of Breast Diffusion Tensor Imaging in the Evaluation of Pre-Surgical Treatment of Breast Cancer. | |
| Anabel M Scaranelo1, Edna Furman-Haran2, Abdullah Alabousi3, Dov Grobgeld2, Vivianne Freitas1, and Hadassa Degani4 | ||
1Medical Imaging, University of Toronto, Toronto, ON, Canada, 2Weizmann Institute of Science, Rehovot, Israel, 3Department of Radiology, St Joseph's Healthcare. McMaster University, Hamilton, ON, Canada, 4DDE MRI Solutions Ltd., Tel Aviv, Israel |
||
Response to breast neoadjuvant systemic therapy (NAST) was longitudinaly monitored with Diffustion Tensor Imaging (DTI) pre and post therapy and evaluated in reference to post surgery histopatholgy results. A correlation was demonstrated between DTI residual tumor size and pathology size. Response in the various breast cancer subtypes was revealed by increased λ 1 values validated by a correlation with the pathological residual disease. DTI detected pCR in all breast subtypes with a good sensitivity and specificity |
| 1142 | Multisite generalizability comparison of Dynamic Contrast Enhanced Breast MRI Breast Cancer Recurrence Score Models at multiple scales | |
| Michael Liu1, Richard Ha1, Terry Button2, Yucheng Liu1, Yun-Hsu Hao3, and Sachin Jambawalikar1 | ||
1Radiology, Columbia University, New York, NY, United States, 2Stonybrook University, Stonybrook, NY, United States, 3Columbia University, New York, NY, United States |
||
Multisite Breast Dynamic Contrast Enhanced MRI based Oncotype DX score models benefit from multiscale sampling |
| 1143 | Registration-based whole breast segmentation enables highly reproducible quantitative MR-based breast density | |
| Jia Ying1, Renee Cattell1, and Chuan Huang1,2,3 | ||
1Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 2Radiology, Stony Brook Medicine, Stony Brook, NY, United States, 3Psychiatry, Stony Brook Medicine, Stony Brook, NY, United States |
||
Clinical determination of mammographic breast density (MD) is subjective and can also suffer from intra- and inter-reader variability. MR-based quantitative assessment of breast density has a few unique advantages over mammography. However, accurate whole breast segmentation is crucial. Manual whole breast segmentation is burdensome and current automated methods also suffer from weaknesses. In this work, a new whole breast segmentation strategy based on image registration is proposed. The test-retest reliability of breast density derived using different segmentation methods was quantitatively assessed. The results demonstrated this new segmentation method yields more reproducible values compared to existing methods. |
| 1144 | B-value derivation for diffusion-weighted Double-Echo Steady-State (dwDESS) sequences | |
| Ulrich Katscher1, Jakob Meineke1, Shuo Zhang2, and Jochen Keupp1 | ||
1Philips Research Europe, Hamburg, Germany, 2Philips Healthcare, Hamburg, Germany |
||
To quantify diffusion weighting and to calculate the diagnostically valuable “Apparent Diffusion Coefficient” (ADC) in MR-based “Diffusion-Weighted Imaging” (DWI), a standardized b-value is typically used. To avoid typical shortcomings of standard DWI, diffusion-weighted double-echo-steady-state (dwDESS) sequences were proposed, which don’t show geometrical distortions. Balanced bipolar dwDESS, in particular, provides high SNR and is robust against motion. However, a proper definition of the b-value equivalent to standard DWI is not yet well addressed. This study investigated an estimation for effective b-values in dwDESS based on approximation of the underlying signal model, which was verified in phantom and human measurements. |
| 1145 | High spatial and temporal resolution breast DCE-MRI using MOCCO reconstruction for quantitative PK analysis | |
| Ping N Wang1, Julia V Velikina2, Leah C Henze Bancroft2, Alexey A Samsonov2, Frederick Felcz2, Roberta M Strigel1,2,3, and James H Holmes2 | ||
1Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI, United States |
||
Radial acquisition with MOCCO reconstruction has been proposed for high spatial and temporal resolution breast DCE imaging. However, the performance of the method has not been evaluated across a wide range of temporal enhancement curves. In this work, we use a breast digital reference object with the ability to provide a wide range of lesion contrast kinetics using the extended Tofts model for pharmacokinetic simulation. A voxel-by-voxel quantitative analysis was applied and compared with the ground truth. |
| 1146 | Impact of low-rank denoising on abbreviated breast diffusion-weighted acquisitions: accuracy and repeatability | |
| Patrick J Bolan1, Jessica A McKay2, Mehmet Akcakaya3, An L Church4, Michael T Nelson4, Kamil Ugurbil1, and Steen Moeller1 | ||
1Radiology / Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 2Radiology, Stanford University, Palo Alto, CA, United States, 3Electrical and Computer Engineering /CMRR, University of Minnesota, Minneapolis, MN, United States, 4Radiology, University of Minnesota, Minneapolis, MN, United States |
||
This study explores the use of a low-rank denoising technique (NORDIC) on breast DWI. Accuracy and repeatability were assessed by subdividing full acquisitions into shorter scans, calculating ADC with and without NORDIC, and comparing the resultant ADC maps. We found that the denoising effects were dependent on SNR – low SNR regions (e.g., background) had greater denoising efficacy than high SNR regions. These findings indicate that NORDIC may help improve assessment of small lesions, and could be used to prospectively optimize higher-resolution acquisition protocols. |
| 1147 | Triple negative breast cancer COX-2 expression distinctly alters spleen metabolism in immunocompromised mice compared to immunocompetent mice | |
| James Dion Barnett1, Marie-France Penet1, Balaji Krishnamachary 1, Zaver Bhujwalla1, Flonne Wildes1, Santosh Kumar Bharti1, and Yelena Mironchik1 | ||
1The Johns Hopkins University School of Medicine, Baltimore, MD, United States |
||
Cycloxygenase-2 (COX-2) is a pathological marker of high clinical relevance. COX-2 initiates the biosynthesis of inflammatory and immunosuppressive prostanoids to promote a hostile tumor microenvironment. Solid tumors rely on vital organs such as the spleen to survive, proliferate and evade immune recognition. We modulated breast cancer COX-2 expression to investigate the metabolic effects in the spleen of immunocompetent and immunocompromised mice. High resolution 1H magnetic resonance spectroscopy (MRS) was performed to identify changes in spleen metabolites. We observed distinct, COX-2-dependent increases in various metabolites in severe combined immunodeficient (SCID) mice compared to immunocompetent BALB/c mice. |
| 1148 | Intra-tumoural lipid composition and lymphovascular invasion in breast cancer via non-invasive magnetic resonance spectroscopy | |
| Sai Man Cheung1, Ehab Husain2,3, Vasiliki Mallikourti1, Yazan Masannat3,4, Steven D Heys4, and Jiabao He1 | ||
1Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom, 2Pathology Department, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 3School of Medicine, University of Aberdeen, Aberdeen, United Kingdom, 4Breast Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom |
||
Lymphovascular invasion (LVI) is associated with increased recurrence and metastatic risk in breast cancer. LVI, with genetic mutation in metabolism of saturated and monounsaturated fatty acids, leads to the deregulation of lipid composition. Currently LVI is estimated using the pre-operative core biopsy, while definitive LVI can only be determined after surgery, precluding patients to receive timely neoadjuvant chemotherapy or hormonal treatment. Double quantum filtered correlation spectroscopy (DQF-COSY) is a method capable of accurate non-invasive lipid composition quantification. We therefore hypothesised there is a difference in lipid composition derived from DQF-COSY between LVI status. |
| 1149 | Fast Longitudinal Image REgistration (FLIRE) for Breast MRI | |
| Michelle W Tong1, Maren M. Sjaastad Andreassen2, Ana Rodríguez-Soto1, Christopher C Conlin1, Tyler Seibert3, Michael Hahn1, Rebecca Rakow-Penner1, and Anders M Dale1 | ||
1Radiology, University of California, San Diego, La Jolla, CA, United States, 2Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway, 3Radiation Oncology, University of California, San Diego, La Jolla, CA, United States |
||
MRI is commonly used to evaluate breast cancer response to neoadjuvant chemotherapy. Image registration algorithms aid diagnostic accuracy by correcting changes in patient position across visits. A novel technique, Fast Longitudinal Image REgistration (FLIRE), was evaluated by comparison to a standard algorithm optimized for breast tissue, DRAMMS. Breast images acquired over the course of neoadjuvant treatment were registered to baseline images. FLIRE runtime was 5 minutes (~20× faster). With this fast processing time, FLIRE performed within 2.5-10.2% of optimized DRAMMS in similarity measures. Overall accuracy and computation speed for FLIRE with default arguments demonstrates promise for clinical time-sensitive applications. |
| 1150
|
Time-dependent IVIM/Non-Gaussian parameters between in vivo and post-mortem breast cancer xenograft models | |
| Yuko Someya1, Mami Iima1,2, Hirohiko Imai3, Hiroyoshi Isoda1, Masako Kataoka1, Denis Le Bihan4,5,6, and Yuji Nakamoto1 | ||
1Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University, Kyoto, Japan, 2Department of Clinical Innovative medicine, Institute for advancement of clinical and translational science, Kyoto University Hospital, Kyoto, Japan, 3Department of Systems science, Graduate School of Informatics, Kyoto University, Kyoto, Japan, 4NeuroSpin/Joliot, CEA-Saclay Center, Paris-Saclay University, Gif-sur-Yvette, France, 5Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan, 6National Institute for Physiological Sciences, Okazaki, Japan |
||
We investigated the time-dependency of IVIM /non-Gaussian diffusion parameters in vivo and post-mortem using breast xenograft models (MDA-MB-231). fIVIM, perfusion-related fraction, dropped abruptly post-mortem, though not reaching 0 completely, suggesting imperfect modeling. fIVIM, estimated from the pseudo-diffusion model, was independent of the diffusion time. The significant decrease of sADC and ADC0 values and the increase in K values observed between short and long diffusion times, as well as after sacrification are in accordance with an increase in diffusion hindrance, as more water molecules hit many boundaries, such as cell membranes. However, different mechanisms may be at stake. |
| 1151 | Evaluation of CEST-mDixon imaging for breast malignancy characterization and staging: correlation with histopathology | |
| Ioannis Papadopoulos1, Ivan Dimitrov2, Jochen Keupp3, Durga Udayakumar1,4, Stephen Seiler1, Sunati Sahoo5, Yin Xi1, Emily Knippa1, Robert Lenkinski1,4, Ananth Madhuranthakam1,4, Shu Zhang6, and Elena Vinogradov1,4 | ||
1Radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 2Philips Healthcare, Gainesville, FL, United States, 3Philips Research, Hamburg, Germany, 4Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States, 5Pathology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 6Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, United States |
||
CEST-mDixon imaging utilizing hydroxyl and amine pools could aid breast tumor diagnosis, as shown in previous preliminary studies. In the current study, CEST-mDixon is evaluated in a breast cancer patient cohort using improved saturation and acquisition parameters. The results agree with previous findings demonstrating moderate linear correlation of CEST effects at 1 ppm and 2 ppm with Ki-67. In addition, we observe a linear correlation with the percentage of cells positive for nuclear expression of the progesterone receptor (PR), the first such observation reported. Overall, the study confirms the potential for CEST-mDixon for characterizing breast tumor aggressiveness non-invasively. |
| 1152 | Electric properties tomography (EPT) of breast tissue using High Spectral and Spatial resolution (HiSS) MRI | |
| Milica Medved1, Ulrich Katscher2, Hiroyuki Abe1, and Gregory S Karczmar1 | ||
1Department of Radiology, The University of Chicago, Chicago, IL, United States, 2Philips Research, Hamburg, Germany |
||
Current breast MRI protocols are heavily reliant on dynamic contrast-enhanced MRI (DCEMRI), but this practice is not ideal, due to recently reported findings of long-term gadolinium deposition in several tissues. We demonstrate feasibility of EPT analysis as applied to HiSS MRI data, which could simplify the process of lesion delineation relative to the current method and may thus improve the diagnostic accuracy of non-contrast breast MRI. Linearly extrapolated phase, to TE = 0 ms, from complex multi-TE gradient echo images obtained using HiSS MRI was used for this purpose. |
| 1431 | Kinetic parameters derived from ultrafast DCE-MRI to predict breast cancer response to neoadjuvant chemotherapy | |
| Zhen Ren1, Federico D Pineda1, Elle Hill1, Teodora Szasz1, Rabia Safi1, Chengyue Wu2, Thomas E Yankeelov2, Kirti Kulkarni1, Hiroyuki Abe1, Rita Nanda1, and Gregory S Karczmar1 | ||
1University of Chicago, Chicago, IL, United States, 2The University of Texas at Austin, Austin, TX, United States |
||
We retrospectively reviewed data from 11 patients who received NAC and were scanned with a protocol that included ultrafast DCE-MRI for the first minute after contrast injection, followed by high spatial-resolution post-contrast imaging prior to therapy and post-treatment. The results showed a significant correlation between response to therapy and the contrast media bolus arrival time (BAT) in tumor, and normal parenchyma in each breast separately. In addition, BAT is significantly associated with background parenchymal enhancement (BPE) while BPE rate is independent of BPE. BPE rate and tumor enhancement rate may be independent predictors for malignancy. |
| 1432 | Background Parenchymal Enhancement Radiomic Features for Neoadjuvant Treatment Response Prediction in Breast Cancer Patients | |
| Alex Anh-Tu Nguyen1, Natsuko Onishi1, Wen Li1, Deep K Hathi1, Rohan Nadkarni1, Efstathios D Gennatas2, Ella F Jones1, I-SPY2 Consortium3, David C Newitt1, and Nola M Hylton1 | ||
1Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, United States, 3Quantum Leap Healthcare Collaborative, San Francisco, CA, United States |
||
Background parenchymal enhancement (BPE) observed in normal fibroglandular tissue in breast dynamic contrast-enhanced MRI shows an association with breast cancer risk and has been investigated to predict treatment response. Contralateral BPE radiomic features and mean BPE values were calculated from DCE-MRI and their predictive performance of pathologic complete response after neoadjuvant chemotherapy was tested. The best mean AUCs were found using BPE radiomics based random forest model with minimal-redundancy-maximal-relevance feature selection in the HR- group and HER2- group. Our results show that contralateral BPE radiomic features have potential as imaging biomarkers for treatment response. |
| 1433 | Predictive value of APTw for early evaluation of pathological complete response to NAC in molecular subtyping of breast cancer | |
| Nan Zhang1, Lina Zhang1, Qingwei Song1, Ailian Liu1, Keshuo Tang2, Lei Dong2, Jiazheng Wang3, and Zhiwei Shen3 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Dalian Medical University, Dalian, China, 3Philips Healthcare, Beijing, China, Beijing, China |
||
Amide proton transfer (APT) imaging is based on the chemical exchange between free bulk water protons and the amide protons (-NH) of endogenous mobile proteins and peptides in tissue[1]. Nan Meng et al suggested that APTw imaging can be used for the differential diagnosis of benign and malignant breast lesions[2]. A simple sample study has shown that APTw MRI provides a possible biomarker for assessing chemotherapy response in human breast cancer patients on 3T MRI[3]. This study aims to explore the feasibility of APTw-MRI in early evaluation of pathological complete response to NAC in molecular subtyping of breast cancer |
| 1434 | Three-component diffusion model with deformable registration for automated evaluation of response to neoadjuvant therapy in breast cancer | |
| Maren M. Sjaastad Andreassen1, Michelle W. Tong2, Ana E. Rodríguez-Soto2, Somaye Zare3, Tyler M. Seibert2,4,5, Michael Hahn2, Haydee Ojeda-Fournier 2, Neil P. Jerome1,6, Tone F. Bathen1,7, Anders M. Dale2,8, and Rebecca Rakow-Penner2 | ||
1Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway, 2Department of Radiology, University of California San Diego, La Jolla, CA, United States, 3Department of Pathology, University of California San Diego, La Jolla, CA, United States, 4Department of Bioengineering, University of California San Diego, La Jolla, CA, United States, 5Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, United States, 6Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway, 7Department of Radiology and Nuclear Medicine, Norwegian University of Science and Technology, Trondheim, Norway, 8Department of Neuroscience, University of California San Diego, La Jolla, CA, United States |
||
The purpose of this work was to develop a method to automatically monitor response to neoadjuvant treatment in breast cancer using longitudinally registered multi-b diffusion MRI acquisitions. The two slowest diffusion signal contributions from a three-component model were used to generate cancer probability maps (C1C2 classifier) that estimated tumor volume at each timepoint. Our results demonstrated that changes in C1C2 classifier agreed with standard dynamic-contrast-enhanced MRI criteria (RECIST) in 23 out of 24 cases. In 35% of treatment responders, the C1C2 classifier captured response at an earlier timepoint than RECIST. |
| 1435 | Associations of pretreatment MRI with pathologic assessment of immune infiltration and chemotherapy response in triple negative breast cancer | |
| Anum S. Kazerouni1, Laura C. Kennedy2, Michael Hirano1, Daniel S. Hippe1, Bonny Chau1, Debosmita Biswas1, Wesley Surento1, Shaveta Vinayak1, Matthew Nyflot1, Habib Rahbar1, Suzanne Dintzis1, and Savannah C. Partridge1 | ||
1University of Washington, Seattle, WA, United States, 2Vanderbilt University, Nashville, TN, United States |
||
We investigated the relationship between immune infiltration and imaging metrics derived from breast MRI in patients with triple negative breast cancer (TNBC) treated with neoadjuvant chemotherapy (NAC). Thirty-six patients with localized TNBC were imaged with diffusion-weighted and dynamic contrast-enhanced MRI prior to initiation of NAC. Baseline tumor infiltrating lymphocytes (TILs) and functional tumor volume were found to significantly differ between patients who achieved pathological complete response (pCR) compared to non-pCR patients. Baseline ADC showed a weak negative correlation with TIL counts. |
| 1436 | Measuring the tumour IFP using MRE: a mechanical biomarker for the prediction of metastatic potential in women with invasive breast cancer | |
| Patriek Jurrius1,2, Omar Darwish1,3,4, Belul Shifa2, Joanna Bell2, John Spence2, Daniel Fovargue1, Giacomo Annio3, Renee Miller1, Marian Troelstra1, Ashutosh Kothari2, Hisham Hamed2, Diana Stavrou2, Ali Sever2, Sultana Hasso2, Katerina Ntailiani2, Keshthra Satchithananda5, Sarah Willson2, Sarah Pinder1,2, Anne Rigg2, David Nordsletten1, Radhouene Neji1,4, Arnie Purushotham1,2, and Ralph Sinkus1,3 | ||
1King's College London, London, United Kingdom, 2Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom, 3University Paris Diderot, Paris, France, 4Siemens Healthcare Ltd., Frimley, United Kingdom, 5King's College Hospital NHS Foundation Trust, London, United Kingdom |
||
Breast cancer is the most prevalent cancer among women. Over the years the overall survival has increased, with metastatic dissemination being one the most important prognostic factors. Currently, the presence of lymph node involvement or distant metastasis is diagnosed on imaging and core biopsy results. Yet, no technique to predict a cancer’s metastatic potential a priori is available. By incorporating magnetic resonance elastography (MRE) in a patient’s routine MRI scan the tumour interstitial fluid pressure, a factor associated with metastatic propensity, can be non-invasively measured. Preliminary results indicate a correlation between MRE measured tumour pressure and the cancer’s metastatic potential. |
| 1437 | Feasibility of quantitative and volumetric enhancement measurement to assess tumor response in patients with breast cancer after early NAC | |
| Jie Ding1, Ruoshui Ha1, Weiwei Deng2, and Xiuzheng Yue3 | ||
1Medical Imaging Center, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China, 2Philips Healthcare, Shanghai, China, 3Philips Healthcare, Beijing, China |
||
The accuracy of early efficacy evaluation of neoadjuvant chemotherapy for breast cancer is important for clinicians to choose chemotherapy regimen. 75 lesions were assessed according to the ELV method in comparison with RECIST1.1 and TLV. In terms of predicting pathological response, the diagnostic accuracy of the three methods were analyzed and compared by receiver operating characteristic (ROC) curve analysis. It is feasible for ELV in evaluating the responsiveness of breast cancer patients to early NAC on DCE-MRI images. Referring to the prediction the pathological response, ELV had the best diagnostic performance with highest sensitivity, accuracy, as well as AUC value. |
| 1438 | DCE-MRI Topology for Early Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy | |
| Josiah D Blaisdell1, Wei Huang2, and Yue Zhang1 | ||
1EECS, Oregon State University, Corvallis, OR, United States, 2Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, United States |
||
We applied Topological Data Analysis (TDA) to pre-neoadjuvant chemotherapy (pre-NAC) DCE-MRI datasets from the ISPY-1 trial for NAC treatment of breast cancer (BC). The pairwise topological distance between tumors’ signal enhancement ratio (SER) maps was computed. Hierarchical Agglomerative Clustering (HAC) was applied to cluster topologically similar patients. In combination with clinical and histopathological data using logistic regression models, the predictive performance of MRI topology for pathologic complete response (pCR) was compared to longest diameter (LD) and functional tumor volume (FTV). The preliminary results show that MRI topology may be a more accurate early predictor of BC response to NAC. |
| 1439 | Tentative assignment of methylmalonic acid in the breast tissue using in vivo 2D COSY and relationships with risk factors of breast cancer | |
| Gorane Santamaría1,2, Natali Naude2,3, Peter Malycha3,4, and Carolyn Mountford2,3 | ||
1Radiology, Princess Alexandra Hospital, Brisbane, Australia, 2Queensland University of Technology, Brisbane, Australia, 3Translational Research Institute, Brisbane, Australia, 4Jones and Partners Radiology, St Andrew’s Hospital, Adelaide, Australia |
||
Methylmalonic acid (MMA) has been linked to ageing and a systemic environment that favours the progression and tumours aggressiveness. We aim to assign MMA in breast tissue using in vivo 2D COSY in a series of 172 participants including women at average and elevated risk. A second purpose is to explore if MMA is associated with breast cancer risk factors. Two resonances were recorded at 3.15 and 3.19ppm in breast tissue, consistent with the presence of MMA1 and MMA2 molecules. The level of MMA correlates positively with breast density/menopausal status and IBIS risk score and, negatively with age and BMI. |
| 1440 | Ultrafast DCE MRI Using Compressed Sensing: Separate Visualization of Arteries and Veins in Differential Diagnosis of Breast Tumors (BI-RADS 4) | |
| Nan Zhang1, Zhuo Wang2, Liguo Tan2, Weizheng Chen2, Lina Zhang1, Ailian Liu1, Qingwei Song1, Jiazheng Wang3, and Zhiwei Shen3 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Dalian Medical University, Dalian, China, 3Philips Healthcare, Beijing, China, Beijing, China |
||
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is an important tool for the diagnosis of breast cancer. It is of great importance to develop new MRI acquisition and analysis methods that can yield improved biomarkers with higher specificity for the diagnosis of breast lesions. The purpose of the present study is to explore visualization and quantitative information of tumor-associated vessels to improve diagnostic accuracy of breast tumors (MR BI-RADS 4). The results show that combination of quantitative breast vascular information may provide an accurate means for the diagnosis of breast cancer. |
| 1441 | Can we use Ultrafast Dynamic Contrast Enhanced MRI to evaluate Ductal Carcinoma in situ? | |
| Masako Y Kataoka1, Maya Honda1, Mami Iima1, Akane Ohashi2, Rie Ota1, Yosuke Yamada3, Masakazu Toi4, and Yuji Nakamoto1 | ||
1Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan, 2Kyoto Medical Center, Kyoto, Japan, 3Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan, 4Department of Breast Surgery, Kyoto University Hospital, Kyoto, Japan |
||
Using ultrafast DCE (UF-DCE) MRI, size and morphology of DCIS on very early phase of the post contrast injection were compared to those on early phase of conventional DCE (C-DCE) MRI and on High resolution post contrast enhancement (HR-CE). Lesion size tended to be smaller on UF-DCE MRI. Clustered ring is not frequently observed on UF-DCE MRI compared to HR-CE. These data suggest evaluating DCIS on UF-DCE may be dealt with caution. |
| 1442 | Deep learning reconstruction including de-streaking capability for motion-robust T1-weighted breast imaging | |
| Ping N Wang1, Sagar Mandava2, Xinzeng Wang3, Ty A Cashen4, Frederick Felcz5, and James H Holmes5 | ||
1Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Global MR Applications and Workflow, GE Healthcare, Atlanta, GA, United States, 3Global MR Applications and Workflow, GE Healthcare, Houston, TX, United States, 4Global MR Applications and Workflow, GE Healthcare, Madison, WI, United States, 5Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States |
||
DCE imaging is the primary technique for MR evaluation of breast cancer. A key problem is ghosting due to cardiac motion obscuring axillary breast tissue. Addressing this challenge, motion-insensitive technologies such as stack-of-stars acquisition have been proposed, which introduces its own problem of streaking. Based on success with a DL reconstruction to reduce noise, blurring, and ringing, this work investigated re-purposing this deep CNN to also mitigate streaking. Phantom imaging demonstrated improved CNR and more accurate line profiles. 15 patients undergoing a clinical MR exam were scanned with the additional motion-robust method, and images showed reduced structured/unstructured noise and blurring. |
| 1443 | Multiparametric prediction model for triple negative breast cancer subtypes using MR parameters including ultrafast DCE MRI | |
| Akane Ohashi1, Masako Kataoka2, Mami Iima2, Maya Honda2, Rie Ota2, Yuta Urushibata 3, Nickel Marcel Dominic 4, Masakazu Toi5, Yuusuke Hirokawa1, and Yuji Nakamoto2 | ||
1Radiology, National Hospital Organisation, Kyoto Medical Center, Kyoto, Japan, 2Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan, 3Siemens Healthcare K.K., Tokyo, Japan, 4Siemens Healthcare GmbH, Erlangen, Germany, 5Breast Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan |
||
We tried to construct MRI-based multiparametric model to predict triple negative (TN) subtype among invasive cancers presenting as masses using 165 lesions (including 26 TN subtype). Maximum slope (MS) and time to enhancement (TTE) from ultrafast (UF)-DCE MRI, apparent diffusion coefficient (ADC), signal to noise ratio on T2-WI, rim enhancement on different phases of the DCE MRI were examined with univariate and multivariate logistic regression analysis. The model using MS from UF-DCE MRI and rim enhancement from early phase of DCE MRI demonstrated the AUC of 0.74 in identifying TN subtype, indicating the MRI’s potential to identify TN subtype noninvasively. |
| 1444 | BI-RADS 4 Breast Lesions: Could Synthetic MRI Be Helpful for Their Diagnosis? | |
| Shi Yun Sun1, Zhuo Lin Li1, Ying Ying Ding1, Li Sha Nie2, Cheng De Liao1, Yi Fan Liu1, Rui Wang1, Jia Zhang3, and Dong Xue Zhang1 | ||
1The Third Affiliated Hospital of Kunming Medical University，Yunnan Cancer Hospital, Kunming, China, 2GE Healthcare, MR Research China, Beijing, China, Beijing, China, 3The Third People's Hospital of Yunnan Province, China, Kunming, China |
||
Synthetic MRI (syMRI) can quantify multiple relaxation parameters at the same time, which might have potential application value in the BI-RADS 4 lesions. 77 breast disease patients who were defined as BI-RADS 4 in the preoperative MRI examination were prospectively enrolled in this study. Before and after contrast injection, all patients underwent routine MRI and syMRI examinations. The result show that relaxation time and ADC values provided by syMRI and DWI are useful in distinguishing breast BI-RADS 4 lesions. The multi parameter model combined with clinical and imaging features can significantly improve the diagnostic ability of BI-RADS 4 breast lesions. |
| 1445 | Radiomics and Machine Learning on multiparametric MRI for breast cancer diagnosis | |
| Isaac Daimiel Naranjo1, Roberto Lo Gullo2, Carolina Sacarelli2, Almir Bitencourt2, Peter Gibbs2, Elisabeth Morris2, Caleb Sooknanan2, Jeff Reiner2, Maxine S Jochelson2, Sunitha Thakur2, and Katja Pinker-Domenig2 | ||
1Radiology, Memorial Sloan Kettering Cancer Center, NEW YORK, NY, United States, 2Memorial Sloan Kettering Cancer Center, New york, NY, United States |
||
Radiomics coupled with machine learning is based on the extraction of signatures from medical images that are invisible to the human eye to create models which would improve breast cancer diagnosis. Radiomics features extracted from dynamic contrast-enhanced MRI and diffusion-weighted imaging can be combined in multiparametric MRI. We hypothesize that radiomics features extracted from multiparametric MRI would allow for an improved model affording a more accurate breast cancer diagnosis. We developed a multiparametric model that achieved the best accuracy for breast cancer diagnosis compared to models based on dynamic contrast-enhanced MRI or diffusion-weighted imaging. |
| 1446 | Lactate concentration in breast cancer using advanced magnetic resonance spectroscopy | |
| Sai Man Cheung1, Ehab Husain2,3, Iain D Miller2, Yazan Masannat3,4, Klaus Wahle5, Steven D Heys4, and Jiabao He1 | ||
1Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom, 2Pathology Department, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 3School of Medicine, University of Aberdeen, Aberdeen, United Kingdom, 4Breast Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 5Strathclyde Institute of Pharmacy and Biological Sciences, University of Strathclyde, Glasgow, United Kingdom |
||
Upregulation of aerobic glycolysis and an elevated lactate accumulation have been linked to tumour aggressiveness. However, current evidence drawn from cell culture and small animal models remains controversial. Since lactate and lipid share the same spectral frequency, conventional MRS is inadequate in quantification of lactate under overwhelming lipid signal. Double quantum filtered (DQF) MRS allows excellent suppression of lipid signal from adipose breast tissues. We conducted a cross sectional study to examine the prognostic role of lactate concentration in grade II and III whole breast tumours using DQF MRS for the quantification of lactate concentration. |
| 1447 | Systemic effects of intrauterine contraceptive devices demonstrated by background parenchymal enhancement in DCE-MRI. | |
| Luisa Charlotte Huck1, Daniel Truhn2, Ebba Dethlefsen2, and Christiane Katharina Kuhl2 | ||
1Radiology, RWTH Aachen University, Aachen, Germany, 2RWTH Aachen University, Aachen, Germany |
||
According to the manufacturers intrauterine contraceptive devices (IUDs) should not be associated with systemic hormonal effects. However, women’s representatives claim that IUDs do exhibit side effects that are similar to oral or percutaneous hormonal medication. Background parenchymal enhancement (BPE) reduces the sensitivity and specificity of breast MRI and is influenced by exogenous hormonal exposures. We investigated whether IUD use is associated with BPE on contrast-enhanced breast MRI, as a surrogate marker for hormonal stimulation. We found that the application of an IUD is associated with increased BPE in breast MRI. This suggests that IUDs do have a systemic hormonal effect.
|
| 1448 | Implementing ConvDecoder with physics-based regularization to reconstruct under-sampled variable-flip angle MRI data of the breast | |
| Kalina P Slavkova1, Julie C DiCarlo2,3, Viraj Wadhwa4, Jingfei Ma5, Gaiane M Rauch6, Zijian Zhou5, Thomas E Yankeelov2,3,7,8,9, and Jonathan I Tamir2,4,8 | ||
1Department of Physics, The University of Texas at Austin, Austin, TX, United States, 2Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, United States, 3Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX, United States, 4Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, United States, 5Department of Imaging Physics, MD Anderson Cancer Center, Houston, TX, United States, 6Department of Abdominal Imaging, MD Anderson Cancer Center, Houston, TX, United States, 7Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, United States, 8Department of Diagnostic Medicine, The University of Texas at Austin, Austin, TX, United States, 9Department of Oncology, The University of Texas at Austin, Austin, TX, United States |
||
We evaluate the ability of the ConvDecoder architecture regularized using a physical model to reconstruct under-sampled dynamic MRI data, namely variable-flip angle data as a proof-of-principle. The performance of the reconstruction is evaluated by comparing the normalized error with results returned by compressed sensing and the non-regularized ConvDecoder. We hypothesize that ConvDecoder with physics-based regularization will enable significantly fewer k-space measurements, thereby allowing for expedited scan time while maintaining spatial resolution. |
| 1449 | Systematic characterization of MRI near a surgical breast implant at 1.5T and 3.0T | |
| Collin J Buelo1,2, Scott B Reeder1,2,3,4,5, and Diego Hernando1,2,5 | ||
1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States, 4Medicine, University of Wisconsin-Madison, Madison, WI, United States, 5Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States |
||
Metallic clip soft tissue markers are a promising alternative to wire-guided localization in localizing breast cancer for surgery. However, the metallic core in the marker creates magnetic field distortions with MRI, which leads to various artifacts including signal voids and failed chemical shift-based fat suppression. This work characterizes the effect of a soft tissue marker at 1.5T and 3.0T using conventional breast imaging sequences as well as multi-spectral sequences. Several fat suppression methods were also evaluated. Field distortions and imaging artifacts are similar at 1.5T and 3.0T, and can be addressed using multi-spectral methods and T1 based fat suppression. |
| 1450 | Initial Results of a Novel High-Resolution 3D-FSE Based Protocol for Silicone Breast Implant Screening | |
| Tayeb Zaidi1, John Mugler2, Maureen Hood3, Brian Garra4, Erin Kelly5, Hung Do5, Mo Kadbi5, and Sunder Rajan1 | ||
1Division of Biomedical Physics, Food and Drug Administration, Silver Spring, MD, United States, 2Department of Radiology and Medical Imaging Research, University of Virginia, Charlottesville, VA, United States, 3Department of Radiology & Radiological Sciences, Uniformed Services University, Bethesda, MD, United States, 4Division of Imaging, Diagnostics, and Software Reliability, Food and Drug Administration, Silver Spring, MD, United States, 5Canon Medical Systems USA, Tustin, CA, United States |
||
Conventional silicone breast MR involves multi-contrast 2D scans. However, the use of 2D imaging risks the loss of fine structure visualization in the 3rd dimension. An isotropic 3D-FSE pulse sequence was first tested in a single-center study in 13 subjects with silicone breast implants (SBI). The images were evaluated by radiologists for quality and added utility of the bilateral, 3D scans. To allow for multi-site implementation of the 3D sequence, a bilateral breast phantom containing lipid, fibroglandular mimic and a silicone implant was tested across major MR vendors to ensure adequate signal-to-noise ratios and tissue contrast. |
| 1864 | The correlation between type 2 diabetes and fat fraction in liver and pancreas: a study using MR Dixon technique | |
| Yu Shun1, Jieqin Lv2, Zhongshuai Zhang3, Ma Mingping1, and Lin Min-gui1 | ||
1Radiology department, Fujian Provincial Hospital, fuzhou, China, 2Department of Biomedical Engineering, Southern Medical University, Guangzhou, China, 3Diagnostic Imaging, SIEMENS Healthcare, Shanghai, China |
||
The increased obesity leads to ectopic fat deposits in liver and pancreas. Ectopic fat deposits affect insulin resistance and blood sugar content with Type 2 Diabetes. In order to assess the relationship between obesity and ectopic fat deposits and diabetes, this study used MR Dixon technique for the quantification of liver and pancreas fat fraction (FF) in T2DM patients and healthy controls. |
| 1865 | Evaluation of Modified Convolutional Neural Network for Automatic Measurement of Pancreas Volume and Pancreatic Fat Deposition | |
| Zhiyong John Yang1, Dech Dokpuang 2, Rinki Murphy 3, Reza Nemati 4, Xavier Yin 5, Kevin Haokun He 5, and Jun Lu1 | ||
1School of Biomedical Science, Auckland University of Technology, Auckland, New Zealand, 2Auckland University of Technology, Auckland, New Zealand, 3University of Auckland, Auckland, New Zealand, 4. Canterbury Health Laboratories, Christchurch, New Zealand, 5Saint Kentigern College, Auckland, New Zealand |
||
Pancreatic fat has been reported to be closely related to type 2 diabetes risk, hence is the subject of our investigation in a clinical trial. Artificial pancreatic fat quantification is an experienced operator based and time consuming task. In our recent task, a convolutional neural network were trained based on latest accurate artificial quantification method. Result showed the identification rate were significantly improved through the program. |
| 1866 | Pancreatic fat fraction is a marker of altered glucidic metabolism in thalassemia major | |
| Antonella Meloni1, Mario Nobile2, Laura Pistoia1, Vincenzo Positano1, Emanuele Grassedonio2, Petra Keilberg1, Costanza Bosi3, Luciana Rigoli4, Giulia Guerrini5, Alessandra De Mitrio6, Massimo Midiri2, and Alessia Pepe1 | ||
1MRI Unit, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy, 2Policlinico "Paolo Giaccone", Palermo, Italy, 3Ospedale “G. Da Saliceto”, Piacenza, Italy, 4Policlinico "G. Martino", Messina, Italy, 5P.O. Misericordia Grosseto, Grosseto, Italy, 6A.S.L. di Bari, Bari, Italy |
||
Pancreatic fat fraction should be included in the routine MRI examination of thalassemia major patients and employed as an index of increased risk for development of impaired glucose tolerance and overt diabetes mellitus. |
| 1867 | Automated pancreas sub-segmentation by groupwise registration and minimal annotation enables regional assessment of disease | |
| Alexandre Triay Bagur1,2, Ged Ridgway2, Sir Michael Brady2,3, and Daniel Bulte1 | ||
1Department of Engineering Science, The University of Oxford, Oxford, United Kingdom, 2Perspectum Ltd, Oxford, United Kingdom, 3Department of Oncology, The University of Oxford, Oxford, United Kingdom |
||
A method to automatically segment the pancreas into its main subcomponents head, body and tail is presented. The method uses groupwise registration to a reference template image that is subsequently annotated by parts. A new subject is registered to the template image, where part labels are propagated, and then transformed back to subject space. We test the method on the UK Biobank imaging sub-study, using a nominally healthy all-male cohort of 50 subjects for template creation and 20 other subjects for validation. We show pancreas T1 quantification by segment when reslicing the segmentation on a separate T1 slice. |
| 1868 | Pancreatic fatty infiltration and iron in thalassemia major | |
| Antonella Meloni1, Mario Nobile2, Laura Pistoia1, Vincenzo Positano1, Emanuele Grassedonio2, Petra Keilberg1, Francesco Sorrentino3, Maurizio Caniglia4, Annamaria Carrà5, Domenico Visceglie6, Massimo Midiri2, and Alessia Pepe1 | ||
1MRI Unit, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy, 2Policlinico "Paolo Giaccone", Palermo, Italy, 3Ospedale "Sant'Eugenio", Roma, Italy, 4Azienda Ospedaliera "S. Maria Misericordia" di Perugia, Perugia, Italy, 5Ospedale “G. Da Saliceto”, Piacenza, Italy, 6Ospedale “Di Venere”, Bari, Italy |
||
Pancreatic fatty replacement is present in more than three-quarters of patients with thalassemia major and it is associated with ageing. Pancreatic fatty replacement is associated to pancreatic iron overload, with a pancreatic T2* value <18 predicting its presence with a sensitivity of 75.6% and a specificity of 85.4%. |
| 1869 | Relationship Between Pancreatic Proton Density Fat Fraction and HOMA-IR in Individuals With and Without HIV Infection | |
| Edgar Adrian Castellanos1, Susan Noworolski2, Diana Alba3, Peter Hunt3, and Suneil Koliwad3 | ||
1Department of Radiology and Biomedical Imaging, University of California , San Francisco, San Francisco, CA, United States, 2Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 3Department of Medicine and Diabetes Center, University of California, San Francisco, San Francisco, CA, United States |
||
Individuals with HIV+ infection have a higher rate of progression to type 2 diabetes mellitus (T2DM), although the mechanisms are not fully understood. Pancreatic proton density fat fraction (PDFF) measures were shown to not differ between individuals with HIV+ (n=16) and controls (n=16). However, when stratified to high versus low measures of insulin resistance (using HOMA-IR), individuals with HIV+ infection (but not controls), who had high HOMA-IR had higher pancreatic PDFF than those with low HOMA-IR, p=0.01. These results suggest pancreatic PDFF may be useful to monitor in HIV+ infection. |
| 1870 | Optimization of Flip Angle Modulated Motion Robust 2D Chemical Shift Encoded MRI of the Liver | |
| Ruiyang Zhao1,2, Jitka Starekova1, Scott B Reeder1,2,3,4,5, and Diego Hernando1,2 | ||
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 3Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 4Medicine, University of Wisconsin-Madison, Madison, WI, United States, 5Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
||
Free breathing 2D flip angle modulated (FAM) CSE techniques along three separate orientations (axial/coronal/sagittal) were developed and validated for motion-robust free-breathing liver PDFF and R2* quantification. Six healthy volunteers were recruited and scanned at 3T. Promising results suggest that the proposed optimized 2D FAM CSE techniques along coronal and sagittal directions were able to avoid tissue slice gaps in the liver during free breathing acquisitions. Accurate quantification of PDFF and R2* were also observed with the proposed optimized techniques, as well as improved SNR performance compared to previously proposed low-flip angle 2D CSE. |
| 1871 | A Deep Learning Approach for Robust Segmentation of Livers with High Iron Content from MR Images of Pediatric Patients | |
| Zhoubing Xu1, Guillaume Chabin2, Robert Grimm3, Stephan Kannengiesser3, Li Pan4, Vibhas Deshpande5, Gregor Thoermer3, Sasa Grbic1, and Cara Morin6 | ||
1Siemens Healthineers, Princeton, NJ, United States, 2Siemens Healthineers, Paris, France, 3Siemens Healthineers, Erlangen, Germany, 4Siemens Healthineers, Baltimore, MD, United States, 5Siemens Healthineers, Austin, TX, United States, 6St. Jude Children's Research Hospital, Memphis, TN, United States |
||
Automated MRI liver segmentation enables the inline evaluation of parametric maps for iron quantification with improved accuracy, efficiency, and repeatability compared to manual efforts. Existing methods optimized for adults and normal livers do not perform well on challenging cases in children and patients with iron overload. We developed a deep learning-based solution trained on 861 T1-weighted MRI that provided significantly improved liver segmentation compared to a commercially available solution and demonstrated its robustness on a challenging cohort of pediatric patients including cases with high iron content. |
| 1872
|
Multi-Parametric Relationships in Subjects with Liver Iron Overload Obtained using STEAM-MRS at 1.5T and 3T | |
| Gregory Simchick1,2, Ruiyang Zhao1,2, Gavin Hamilton3, Scott Reeder1,2,4,5,6, and Diego Hernando1,2,4 | ||
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 3Radiology, University of California-San Diego, San Diego, CA, United States, 4Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 5Medicine, University of Wisconsin-Madison, Madison, WI, United States, 6Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
||
The relationships between several promising MR biomarkers of diffuse liver disease were evaluated at both 1.5T and 3T in subjects with liver iron overload using stimulated echo acquisition mode (STEAM) MRS. Multi-TE and multi-TE-TR sequences were acquired in order to obtain estimates of R1, R2, FWHM, and PDFF. Linear regression analysis was performed to evaluate the relationships between these various parameters and their relationships across field strengths. Several biomarkers demonstrated moderate to high correlations with each other, and the multi-TE-TR sequence (lower spectral resolution and higher number of spectra than the multi-TE sequence) tended to produce better correlations. |
| 1873 | The Effect of Hepatic Fat on T2 of water signal in single voxel multi-echo MRS and fat-suppressed radial TSE T2 mapping. | |
| Diana Bencikova1,2, Marcus Raudner1, Sarah Poetter-Lang1, Nina Bastati1, Ahmed Ba-Ssalamah1, Siegfried Trattnig1,2, and Martin Krššák2,3 | ||
1Department of Radiology, Medical University Vienna, Vienna, Austria, 2Christian Doppler Laboratory for Clinical Molecular Imaging, MOLIMA, Vienna, Austria, 3Division of Endocrinology and Metabolism, Department of Medicine III, Medical University of Vienna, Vienna, Austria |
||
MRI-based T2 mapping was suggested for the grading of hepatic parenchyma inflammation. Studies using multi-echo MRS suggest the effect of hepatic fat accumulation on T2 values of the water signal. Here, we analyzed the effect of hepatic fat fraction on water T2s in phantoms and patients in vivo with MRS and T2 mapping based on fast radial turbo-spin-echo acquisition with fat saturation. While there was an effect in phantoms of low FF, in the population of patients with FF up to 15%, no significant influence could be observed. |
| 1874 | R2* mapping in liver iron quantification using multi-echo ultra-short echo time MRI: a rabbit model study | |
| Hongru Jia1, Chang Liu1, Weiqiang Dou2, Jing Ye1, and Xianfu Luo1 | ||
1Northern Jiangsu People’s Hospital, Yangzhou, China., Yangzhou, China, 2GE Healthcare,MR Research China, Beijing, China., Beijing, China |
||
In this study, we aimed to investigate the feasibility of quantitative R2* mapping measured using multi-echo ultra-short echo time (multi-TE UTE) MRI for evaluating liver iron content coexisting with liver fat. Iron accumulation and fat deposition with different levels was built in rabbit liver in vivo. We found that the obtained R2* mapping measured with multi-TE UTE with fat suppression could accurate measure liver iron content at different levels without an influence from fat. With this finding, multi-TE UTE imaging can be considered a potential technique for noninvasive hepatic iron measurement. |
| 1875 | Isotropic resolution volumetric liver T2 weighted imaging and T2 mapping using a navigator-gated radial stack-of-stars T2 prepared acquisition | |
| Mark Zamskiy1, Dominik Weidlich1, Kilian Weiss2, Marcus Makowski1, Rickmer Braren1, and Dimitrios Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, 2Philips Healthcare, Hamburg, Germany |
||
Volumetric liver T2-weighted imaging and T2 mapping is of a high clinical significance but still remains very challenging due to motion in this region. The present work introduces a novel T2-prepared radial stack-of-stars (SoS) gradient echo sequence, which can be combined with a DIXON readout for achieving isotropic resolution fat-suppressed T2-weighted images. Moreover, the combination of the T2-prepared SoS acquisition with different T2-preparations enables T2 mapping in navigator-gated scans. |
| 1876 | T2 Quantification in Liver Iron Overload Using RF Phase Modulated Gradient Echo MRI | |
| Ruvini Navaratna1,2, Daiki Tamada2, Gregory Simchick2, Diego Hernando1,2, and Scott B Reeder1,2,3,4,5 | ||
1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Radiology, University of Wisconsin - Madison, Madison, WI, United States, 3Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States, 4Medicine, University of Wisconsin - Madison, Madison, WI, United States, 5Emergency Medicine, University of Wisconsin - Madison, Madison, WI, United States |
||
MR-based relaxation parameters such as T2 are sensitive to iron content in the liver. Unfortunately, current T2 mapping techniques often suffer from long acquisition times. A recently introduced phase-based T2 mapping technique shows promise for rapid liver T2 quantification within a single breath-hold. However, its ability to quantify short T2 in liver iron overload is unknown. In this work, we present a modified 3D phase-based T2 mapping method for quantifying short T2 values encountered in liver iron overload. Our results demonstrate preliminary feasibility of phase-based RF modulated GRE to map short T2 values rapidly and accurately. |
| 1877 | Performance of Radial Dual-Echo Inversion Recovery SPGR T1 mapping in comparison to SMART1 and MOLLI for the Evaluation of Liver Parenchyma. | |
| Manoj Mathew1, Zhitao Li2, Ali B Syed3, Shreyas S Vasanawala1, and Ryan L Brunsing1 | ||
1Department of Radiology, Stanford University, Palo Alto, CA, United States, 2Department of Radiology and Electrical Engineering, Stanford University, Palo Alto, CA, United States, 3Stanford University, Palo Alto, CA, United States |
||
Radial Dual-Echo Inversion Recovery SPGR T1 mapping is a technique that yields water and fat separated parametric maps for the evaluation of T1 values in the liver parenchyma. This novel method can serve as an alternative to SMART1 and MOLLI mapping techniques. From a cohort of 56 patients, we show the rIR-T1 outperforms MOLLI in the differentiation of patients with cirrhosis. We also show that the technique may be advantageous in the evaluation of patients with hepatic steatosis because of the ability to create composite and water-only images that yield T1 values that can better correlate to liver fibrosis. |
| 1878 | Feasibility of T1 Mapping with Histogram Analysis for the Diagnosis and Staging of Liver Fibrosis: Preclinical Results | |
| Qing Wang1, Ye Sheng2, HaiFeng Liu2, Zuhui Zhu2, wei Xing2, and Jilei Zhang3 | ||
1Radiology, Third Affiliated Hospital of Soochow University & First People's Hospital of Changzhou, changzhou, China, 2Third Affiliated Hospital of Soochow University & First People's Hospital of Changzhou, changzhou, China, 3Healthcare,Shanghai,China, shanghai, China |
||
We induced LF New Zealand white rabbits model by carbon tetrachloride to compare the diagnostic accuracy of parameters derived from the histogram analysis of precontrast, 10-min hepatobiliary phase (HBP) and 20-min HBP MOLLI T1 maps for staging liver fibrosis (LF). The mean, median, skewness, kurtosis, entropy, inhomogeneity and 10th/25th/75th/90th percentiles of T1native, T110min and T120min were compared. The 75th of T1native, entropy10min, and entropy20min were the three most reliable imaging markers in reflecting the stage of LF. The entropy derived from 20-min HBP T1 mapping is the best parameter for predicting the LF stage. |
| 1879 | Intenso MRE: 3D volumetric GRE-based MR Elastography of the liver in a single breath-hold | |
| Omar Isam Darwish1,2,3, Sami Jeljeli1, Daniel Staeb4, Peter Speier5, Ralph Sinkus1,2, and Radhouene Neji1,3 | ||
1King's College London, London, United Kingdom, 2INSERM U1148, LVTS, University Paris Diderot, Paris, France, 3MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 4MR Research Collaborations, Siemens Healthcare Limited, Melbourne, Australia, 5MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
||
The increasing use of MR elastography (MRE) for the quantification of liver fibrosis and inflammation demands a rapid and accurate 3D MRE sequence. 3D MRE usually requires multiple breath-holds, which prolongs acquisition times and introduces misalignment between the different acquisitions. We propose Intenso, a novel GRE-MRE sequence that enables 3D motion-encoding for volumetric MRE of the liver in a single breath-hold. The sequence combines simultaneous multi-slice excitation (SMS), Hadamard motion encoding and a multi-shot GRE-MRE sequence resulting in a total acquisition time of 17 seconds. In-vivo results are shown in three healthy volunteers and compared to a well-established GRE-MRE sequence. |
| 1880 | Longitudinal MRI and MR Elastography (MRE) Assessment in Patients with Diagnosed Nonalcoholic Fatty Liver Disease (NAFLD) | |
| Zheng Zhu1, Alina M. Allen2, Terry Therneau3, Xin Lu1, Kevin J. Glaser1, Jiahui Li1, Jingbiao Chen1,4, Jie Chen1,5, Safa Hoodeshenas1, Sudhakar K. Venkatesh1, Armando Manduca1,6, Richard L. Ehman1, and Meng Yin1 | ||
1Department of Radiology, Mayo Clinic, Rochester, MN, United States, 2Devision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States, 3Devision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, United States, 4Department of Radiology, the Third Affiliated Hospital of Sun Yat-Sen University, Guangdong, China, 5Department of Radiology, West China Hospital, Chengdu, Sichuan, China, 6Devision of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States |
||
To identify individuals at high risk for rapid fibrosis progression, we retrospectively investigated longitudinal changes in liver stiffness measurements (LSM) and proton density fat fraction (PDFF) in 36 NAFLD patients. At the early fibrosis stages, the rate of change of LSM is slow and positively correlated with the rate of change in PDFF. At later fibrosis stages, the rate of change in LSM is higher and is negatively correlated with ΔPDFF. Compared with other risk factors, the baseline value of LSM and the rate of change in PDFF was most strongly correlated with subsequent change in LSM. |
| 1881 | A Preliminary Assessment of Hepatic Fibrosis with Ultrashort Echo Time (UTE): A comparative study with Magnetic Resonance Elastography (MRE) | |
| Jie Yuan1, Fan Mo2, Yongming Dai2, Suhao Qiu3, Yuan Feng3, Songhua Zhan1, Yanwen Huang1, and Hui Wang1 | ||
1Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, 201203, Shanghai, China, 2MR Collaboration, United Imaging Healthcare, Shanghai, China, 3Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China |
||
We investigated the potential of Ultrashort Echo Time (UTE) to accurately assess hepatic fibrosis in patients with chronic liver disease. Our study demonstrated that UTE has the potential to assess the hepatic fibrosis. |
| 1882 | Non-Alcoholic Fatty Liver Disease: Association Between the Biomechanics and Inflammation Severity in Early-Stage Diffuse Liver Disease | |
| Christian Simonsson1,2, Markus Karlsson1, Patrik Nasr3, Ralph Sinkus4, Simone Ignatova5, Nils Dahlström1, Mattias Ekstedt2,3, Stergios Kechagias3, and Peter Lundberg1,2 | ||
1Department of Radiation Physics, Radiology, Linköping University, Linköping, Sweden, 2Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden, 3Department of Medical and Health Sciences, Linköping University, Linköping, Sweden, 4Imaging Sciences & Biomedical Engineering, Kings College London,, London, United Kingdom, 5Linköping University, Linköping, Sweden |
||
With the high prevalence of non-alcoholic fatty liver disease (NAFLD), it is important to have precise and non-invasive clinical methods to detect early stages of non-alcoholic steatohepatitis (NASH) and fibrosis progression. It has recently been shown that 3D Magnetic resonance elastography (3D-MRE) could be used to measure inflammation in the liver. To this cause, we investigated the association between liver 3D-MRE biomechanical properties and histopathological features in a liver study cohort of 25 patients including individuals with NASH. We here show that 3D-MRE biomechanical biomarkers show a correlation with higher degrees of hepatic inflammation in this cohort. |
| 1883 | Role of mDixon quant imaging in evaluation of treatment outcome with vitamin K2 in non-alcoholic fatty liver disease | |
| Zhiying Xue1, Xiuzheng Yue2, Yishi Wang2, and Tong Zhang1 | ||
1Radiology, No.4 Hospital of Harbin Medical University, Harbin, China, 2Philips Healthcare, Beijing, China |
||
Synopsis: Liver fat content in patients with non-alcoholic fatty liver disease (NAFLD) is closely related to the progression of the disease. The objective of this study was to assess the effect of Vitamin K2 (VK2) supplementation on NAFLD using mDixon quant technique. Preliminary results showed supplementation of VK2 could can improve the condition of liver fat deposition of VK2 and related biomarkers to some extent. |
| 1884 | Accelerated Dynamic MRI for the Assessment of Esophageal Peristalsis During Swallowing | |
| Ethan M I Johnson1, Sourav Halder2, Peter J Kahrilas1, John E Pandolfino1, Neelesh A Patankar2, and Michael Markl1 | ||
1Northwestern University, Chicago, IL, United States, 2Northwestern University, Evanston, IL, United States |
||
Pure pineapple juice was reduced by heating to a range of concentrations, and the T1 values were characterized for each concentration. A log-linear relationship between concentration factor and T1 reduction factor was shown. In vivo dynamic MR imaging of esophageal peristalsis was demonstrated using a modified MR angiography sequence and a 50% volume-reduced concentration of pineapple juice as swallowable contrast agent. |
| 1885 | Reaal-time MRI for assessment of patients with gastroesophageal reflux disease：a feasibility research | |
| Chao Wu1, Xinyu Wang1, Chen Zhang2, Cheng Cheng3, Wei Zhao4, and Haoran Sun1 | ||
1Medical Imaging Department, Tianjin Medical University General Hospital, Tianjin, China, 2MR Scientific Marketing, Siemens Healthcare, Beijing, China, 3Clinical Application, Siemens Healthcare, Tianjin, China, 4Department of Gastroenterology, Tianjin Medical University General Hospital, Tianjin, China |
||
This study was aim to observe swallowing processes in volunteers and patients with gastroesophageal reflux through real-time magnetic resonance imaging (MRI), and to assess the transport and reflux of pineapple juice through the gastroesophageal junction during Valsalva. Gastroesophageal reflux was detected in all patients included in this study. |
| 1886 | MRI Characterisation of the Reformation of Colonic Content after Bowel Purgation | |
| Hannah Grace Williams1,2, Caroline Hoad1,3, Neele Dellschaft1,3, Christabella Ng3,4, Alan Smyth3,4, Giles Major2,3, and Penny Gowland1,3 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2Nottingham Digestive Diseases Centre, University of Nottingham, Nottingham, United Kingdom, 3National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, United Kingdom, 4Division of Child Health, Obstetrics and Gynaecology, University of Nottingham, Nottingham, United Kingdom |
||
A key colonic function is the formation of faeces and the growth and proliferation of the microbiota. This process is little described as it is difficult to study in vivo. We aimed to investigate it using MRI which can non-invasively monitor changes in the colonic content. In 8 healthy volunteers we observed the initial process of faecal formation following purgation. The results suggest that MRI can provide new insights into the important physiological process of faeces formation and establishment of the microbiome in the colon. |
| 1887 | Disrupted resting-state salience network in type 2 diabetes with and without mild cognitive impairment | |
| Yumeng Lei1, Dongsheng Zhang1, Fei Qi2, Man Wang2, Jie Gao1, Min Tang1, Yu Su2, Zhirong Shao2, Kai Ai3, and Xiaoling Zhang1 | ||
1Department of MRI, Shaanxi Provincial People’s Hospital, Xi'an, China, 2Xi'an Medical University, Xi’an, China, 3Philips Healthcare, Xi'an, China |
||
To investigate the underlying mechanisms of cognitive decline in patients with diabetes, data-driven independent component analysis (ICA) was applied to resting-state fMRI images from 34 type 2 diabetes mellitus (T2DM) patients with normal cognition (DMCN) and 31 T2DM patients with cognitive impairment (DMCI), and 31 healthy controls (HC) to identify the difference in salience network (SN). The resting-state functional connectivity (rs-FC) alteration are different and complicated among HC, DMCN and DMCI groups, and also are correlated to neuropsychological scores, indicated that altered SN rs-FC in T2DM patients are closely related to cognitive impairment. |
| 1888 | Study on the white matter integrity in T2DM using automated fiber quantification tractography | |
| Jun Wang1, Wenjuan Bai2, Pengfei ZHANG1, Wenjing HUANG1, Wanjun HU1, Guangyao LIU1, and Jing ZHANG1 | ||
1Department of Magnetic Resonance, Lanzhou University Second Hospital, Lan Zhou, China, 2Second School of Clinical Medicine, Lanzhou University, Lan Zhou, China |
||
The objective of this study was to explore the effect of glucose fluctuation on T2DM patients using a new method named automated fiber quantification (AFQ). To explore the value of different DTI parameters in the classification of T2DM patients and normal patients using SVM model. |
| 1889 | Modeling Central Olfactory Network Alteration in Type 2 Diabetes Mellitus: From Primary to Advanced Cortex | |
| Wen Zhang1, Jiaming Lu1, Jilei Zhang2, and Bing Zhang1 | ||
1Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China, 2Philips Healthcare, Shanghai, China |
||
Type 2 diabetes mellitus (T2DM) is associated with olfactory dysfunction and cognitive decline. We proposed one functional connectivity (FC) model that links the primary olfactory cortex (POC) to advanced cognition related cognitive brain area. The whole olfactory network was divided into three sub-networks: POC consists of the bilateral anterior olfactory nucleus, piriform cortex, entorhinal cortex, and amygdala; secondary olfactory cortex (SOC) include the bilateral hippocampus, parahippocampus, thalamus, and hypothalamus; advanced olfactory cortex (AOC) consists of bilateral orbitofrontal cortex, insula and dorsolateral prefrontal cortex(DLPFC). Our results suggested that FC was heterogeneously disrupted in the POC-SOC-AOC olfactory pathway in T2DM. |
| 1890 | Amide Proton Transfer weighted imaging analysis of cerebral metabolism changes in T2DM patients | |
| weiwei wang1, Yanwei Miao1, JianLin Wu2, and JianLin Wu2 | ||
1The First affiliated hospital of Dalian Medical University, Dalian, China, 2Affiliated Zhongshan Hospital of Dalian University, Dalian, China |
||
APTw can reflect the abnormal changes of brain metabolism in T2DM patients from the molecular level, providing new imaging evidence for understanding the neuropathological mechanism of diabetic brain injury |
| 1891 | Study on cerebral perfusion characteristic network of type 2 diabetes mellitus using 3D arterial spin labeling imaging | |
| hang qu1, wenjuan ba1, weiqiang Dou2, and wei wang1 | ||
1The Affiliated Hospital of Yangzhou University, yangzhou, China, 2GE Healthcare, MR Research China, Beijing, Beijing, China |
||
This study aimed to investigate the cerebral microcirculatory blood flow perfusion and perfusion patterns in patients with type 2 diabetes by using 3D arterial spin labeling (ASL) imaging, and to analyze the correlation between perfusion changes and biochemical indexes. We obtained 3D-ASL derived cerebral blood flow (CBF) and perfusion feature network using principal component analysis (PCA) on each subject accordingly. These diabetic patients showed low regional CBF, and PCA-based perfusion characteristics could identify patients with diabetes. Changed perfusion patterns reflected the remodeling of cerebral blood flow perfusion, revealing clinical value and significance for early diagnosis and intervention of diabetic microangiopathy. |
| 1892 | Early Detection of Type 2 Diabetes Mellitus with Mild Cognitive Impairment based on Multiple Advanced Diffusion Models: DKI, MAP-MRI and NODDI | |
| Wen-jiao Lyu1, Yunzhu Wu2, Xiao-meng Ma1, Yue Feng1, Yu-na Chen1, Shi-jun Qiu1, Xu Yan2, Min-xiong Zhou3, and Guang Yang4 | ||
1Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China, 2MR Scientific Marketing, SIEMENS Healthcare, Shanghai, China, 3Shanghai University of Medicine & Health Sciences, Shanghai, China, 4Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China |
||
Compare to pathological examination and cognitive assessment scale, diffusion imaging can detect microscopic diffusion properties of biological tissues noninvasively and repeatably. This study aimed to evaluate the ability of multiple advanced diffusion models reconstructed by diffusion sequence: MAP-MRI, NODDI, and DKI in the early detection of Type 2 diabetes mellitus (T2DM) patients with mild cognitive impairment (MCI). |
| 1893 | Inter-hemispheric Functional Connections are more Vulnerable to Attack than Structural Connection in Irritable Bowel Syndrome Patients | |
| Guangyao Liu1, Shan Li2, Hong Liu1, Laiyan Ma1, Zhijun Yao2, Jing Zhang1, Shaoyu Wang3, and Dekui Zhang4 | ||
1Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China., Lanzhou, China, 2Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China., Lanzhou, China, 3MR Scientific Marketing, Siemens Healthineers, Shanghai, China., xian, China, 4Department of Gastroenterology, Lanzhou University Second Hospital, Lanzhou, China., Lanzhou, China |
||
In this study, five types of MRI features, including voxel-mirrored homotopic connectivity (VMHC) from functional MRI (fMRI), asymmetry index (AI) from structural MRI (sMRI), FA, fiber length and fiber number (FN) from diffusion tensor imaging (DTI) were used to evaluate the asymmetry and inter-hemispheric connectivity of IBS patients. Through taking comprehensive analysis of the bilateral brain in Irritable bowel syndrome (IBS) patients, we speculated that inter-hemispheric functional connectivity is more vulnerable to IBS than anatomical connectivity, while the structural morphology of brain is the most stable. Meanwhile, the affected areas were concentrated in default mode network (DMN) and sensorimotor network. The results of our study are only preliminary, but it may provide theoretical basis for future research on the regulation of gut-brain axis (GBA) and pathophysiology in functional intestinal diseases. |
| 1894 | 31P MRS and MRI phenotyping of muscle metabolic quality in Inflammatory Bowel Disease fatigue | |
| Jordan J McGing1,2,3, Rosemary Nicholas2, Sébastien Serres4, Paul L Greenhaff5,6,7, Gordon W Moran1,7, and Susan T Francis2 | ||
1Nottingham Digestive Diseases Centre, Queens Medical Centre, Nottingham, United Kingdom, 2Sir Peter Mansfield Imaging Centre, Nottingham, United Kingdom, 3School of Medicine, University of Nottingham, Nottingham, United Kingdom, 4School of Life Sciences, University of Nottingham, Nottingham, United Kingdom, 5MRC Versus Arthritis Centre for Musculoskeletal Ageing Research, Nottingham, United Kingdom, 6Centre for Sport, Exercise and Osteoarthritis Research Versus Arthritis, Nottingham, United Kingdom, 7National Institute of Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham, United Kingdom |
||
Fatigue is a prevalent and debilitating symptom in Inflammatory Bowel Disease (IBD) with an unclear aetiology. Sarcopenia and muscle deconditioning are common in IBD, implicating peripheral mechanisms in IBD fatigue. We carried out functional, 31P MRS and MRI phenotyping of quiescent IBD patients with fatigue complaints and a healthy control group, to characterise peripheral contributions to fatigue aetiology. Collectively, the reduced rate of PCr resynthesis and concomitant maintenance of muscle mass and strength in IBD patients suggests that IBD fatigue may be attributable to peripheral muscle deconditioning, which could potentially be restored by exercise training intervention. |
| 1895 | Quantifieation research of the severity of diabetic nephropathy by IDEAL-IQ sequence | |
| Xinmiao Bu1, Ailian Liu1, Ye Ju1, Wenjun Hu1, Changyu Du2, Haoyang Jiang2, and Lingli Qi2 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Dalian Medical University, Dalian, China |
||
IDEAL-IQ technology is a new scanning sequence which corrects many mixed factors that interfere with fat quantification to realize the quantitative measurement of fat fraction. We retrospectively analyzed 42 patients with diabetic nephropathy in our hospital from March 2017 to December 2019. According to the presence of proteinuria, they were divided into severe group and mild group.The R2* and FF value of the severe group was greater than that of the mild group, the difference was statistically significant (P <0.05).The AUC value of severe value and mild value for identifying severe with mild groups are 0.792 and 0.823。 |
| 1896 | Diffusion tensor imaging in the tibial nerve in patients with diabetic peripheral neuropathy | |
| Nathan Davis1, Steven Baete2,3, Smita Rao4, Jill Slade5, Prodromos Parasoglou2,3, and Ryan Brown2,3 | ||
1New York Institute of Technology, Old Westbury, NY, United States, 2Department of Radiology, Bernard and Irene Schwartz Center for Biomedical Imaging, New York University Grossman School of Medicine, New York, NY, United States, 3Department of Radiology, Center for Advanced Imaging Innovation and Research, New York University Grossman School of Medicine, New York, NY, United States, 4Department of Physical Therapy, New York University, New York, NY, United States, 5Department of Radiology, Michigan State University, East Langsing, MI, United States |
||
Prolonged type 2 diabetes mellitus (T2DM) can result in diabetic peripheral neuropathy (DPN), a disease in which ischemic conditions degrade peripheral nerves. Diffusion tensor imaging (DTI) studies have demonstrated significant microstructural changes in upper extremity pathology, yet limited research has focused on the tibial nerve. We found cross-sectional differences in apparent diffusion coefficient between controls and T2DM and DPN. In a separate longitudinal study, insignificant DTI changes were found in DPN patients that were scanned before and after a 10-week exercise intervention. |
| 1897 | Quantitative assessment of the pancreas in T2DM patients using DWI and T2 mapping | |
| Zihao Xu1, Qinhe Zhang1, Chao Liang1, Shuangyi Li1, Yaru You1, Jiazheng Wang2, Liangjie Lin2, Ailian Liu1, and Qingwei Song1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian Liaoning, China, 2Philips Healthcare, Beijing, China |
||
This study measured the ADC and T2 values of the pancreas in T2DM patients and control subjects. Distribution of T2 values were uneven in different locations of pancreas in both T2DM patients and control subjects , and the T2 values in head and neck were higher than those of body and tail. While distribution of ADC values was even in both of the two groups (P>0.05). ADC values of pancreas in T2DM patients were lower than those of control subjects, and it is inversed for T2 values . It may indicate that pancreatic cells are more closely arranged with reduced cell gaps. |
| 1898 | Diffusion-Weighted Imaging of the Abdomen using Echo Planar Imaging with Compressed SENSE (EPICS) | |
| Yoshifumi Noda1, Takayuki Mori1, Nobuyuki Kawai1, Kimihiro Kajita2, Yuta Akamine3, Masami Yoneyama3, Fuminori Hyodo4, and Masayuki Matsuo1 | ||
1Department of Radiology, Gifu University, Gifu, Japan, 2Department of Radiology Services, Gifu University Hospital, Gifu, Japan, 3Philips Japan, Tokyo, Japan, 4Department of Frontier Science for Imaging, Gifu University, Gifu, Japan |
||
Diffusion-weighted imaging (DWI) is one of the important sequences in abdominal magnetic resonance (MR) imaging, especially in unenhanced examination. Recently, echo planar imaging with Compressed SENSE (EPICS) has been introduced and it can reduce noise-like artifacts and improve image quality. In this study, we compared qualitative and quantitative imaging parameters between conventional echo planar DWI (C-EPI-DWI) and EPICS. Our results showed that EPICS significantly reduce noise-like artifacts and improve the accuracy of ADC values compared with C-EPI-DWI. |
| 1899 | A single breath-hold abdominal diffusion-weighted imaging with simultaneous multislice echo-planar imaging | |
| Naoki Ohno1, Kotaro Yoshida1, Yu Ueda2, Tosiaki Miyati1, Yuki Koshino1, Toshifumi Gabata1, and Satoshi Kobayashi1 | ||
1Kanazawa University, Kanazawa, Japan, 2Philips Japan, Tokyo, Japan |
||
Although respiratory-triggered (RT)-diffusion-weighted imaging (DWI) has often been used to minimize respiratory motion in abdomen, unstable respiration leads to prolonged scan time without resolving the problem of respiratory motion. Therefore, we proposed a single breath-hold (BH)-DWI with simultaneous multislice (SMS) echo-planar imaging to allow faster acquisition and reliable quantification of apparent diffusion coefficient (ADC) in abdominal DWI. The BH-DWI with SMS technique reduced the scan time by more than fourfold and demonstrated comparable accuracy and repeatability in ADC quantification with conventional RT-DWI. The proposed method enables to acquire abdominal diffusion-weighted images in a single breath-holding. |
| 1900 | Reduction of susceptibility artifact using echo-planar imaging with compressed SENSE (EPICS) in the upper abdomen | |
| Hazuki Takishima1, Hajime Yokota2, Takayuki Sakai3, Masami Yoneyama4, and Takashi Uno2 | ||
1Department of Radiology, Chiba University Hospital, Chiba, Japan, 2Department of Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan, 3Eastern Chiba Medical Center, Togane, Japan, 4Philips Japan, Tokyo Japan, Tokyo, Japan |
||
Intestinal gas in upper abdomen interferes with diffusion-weighted image. Echo-planar imaging with compressed SENSE (EPICS) can reduce the susceptibility artifacts by shortening the data sampling time. In this study, EPICS and conventional SENSE-DWI were compared visually and quantitatively. The visual score of EPICS were significantly higher than that of SENSE in the pancreatic head and body. The signal ratio between the pancreas and spinal cord was significantly higher in the pancreatic tail in SENSE. The ADC value of EPICS was significantly higher in the pancreatic head. EPICS is feasible for reducing gas-producing artifact in the upper abdomen. |
| 1901 | Value of MRCP in Santorinicele and Wirsungocele | |
| Xinzhu Zhao1, Xing Wan1, Min Luo1, Mu Du1, Zhongxian Yang1, Qiuxia Xie1, Qian Zou1, Aiwen Guo1, Yingjie Mei2, and Yubao Liu1 | ||
1Medical Imaging Center, Shenzhen Hospital of Southern Medical University, Southern Medical University, Shenzhen, China, 2Philips Healthcare, Guangzhou, China |
||
The study investigated the potential association among pancreatitis, pancreas divisum (PD), and santorinicele or wirsungocele (two types of pancreatic ductal variations) based on three-dimensional magnetic resonance cholangiopancreatography (3D-MRCP). The clinical and imaging samples of 75 patients were collected and sorted into santorinicele and wirsungocele groups. Potential factors related to wirsungocele and santorinicele were investigated. MRCP showed good performance in visualizing ductal anomalies. Patients with santorinicele had higher risks of developing pancreatitis compared with those with wirsungocele. Additionally, santorinicele itself might be more closely associated with pancreatitis than with PD. |
| 1902 | Comparation of the image quality between a modified 3D RT-SPACE-MRCP and routine 3D RT-SPACE-MRCP sequence in bile duct disease | |
| Yue Qin1, Xin Li1, Yinhu Zhu1, Dayong Jin1, Liyao Liu1, Yanqiang Qiao1, Juan Tian1, Yifan Qian1, and Shaoyu Wang2 | ||
1XIAN DAXING HOSPITAL, Xi'an, China, 2MR Scientific Marketing, Siemens Healthineers, Xi'an, China |
||
MR cholangiopancreatography (MRCP) is an method allowing noninvasive investigation of biliary and pancreatic disorders. However, the respiratory-triggered 3D MRCP technique requires long acquisition time depending on the breathing rate of patients, which leads to image blurring and motion artifacts. The purpose of this study was to compare the modified RT-SPACE-MRCP protocol and the conventional RT-SPACE-MRCP protocol with respect to image quality as well as the acquisition time. |
| 1903 | Comparing compressed sensing Breath-hold 3D MR cholangiopancreatography with two parallel imaging MRCP strategies | |
| Zhiyong Chen1, Bin Sun1, Qing Duan1, Yunjing Xue1, ZhongShuai Zhang2, and guijin li3 | ||
1Radiology, Union Hospital, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, China, 2Diagnostic imaging, Siemens Healthcare, Shanghai, China., Shanghai, China, 3MR application, Siemens Healthineers Ltd，Guangzhou，China, guangzhou, China |
||
The overall imaging quality of BH CS-MRCP, BH-MRCP and NT MRCP protocols were not significant different. Both the two breath-hold approaches were considering the time-saving advantages without deterioration of image quality. Compared with BH CS-MRCP, BH-MRCP yielded significantly better visualization of the segment 2 and 3 branch of the intrahepatic duct, and performed better consistency in main pancreatic duct and common bile duct morphology. Therefore, BH-MRCP in terms of superior visualization and morphological consistency can be recommended to improve workflow and diagnostic efficacy, and be preferred for patients with irregular breathing pattern. |
| 2103 | Longitudinal Change in Quantitative Magnetic Resonance Imaging Biomarkers in Pediatric Patients with Autoimmune Liver Disease | |
| Neeraja Mahalingam1, Andrew Trout2,3,4, Deep Gandhi1, Ruchi Singh5,6, Alexander Miethke5,6, and Jonathan Dillman2,3,5 | ||
1Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 3Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States, 4Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States, 5Center for Autoimmune Liver Disease, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 6Division of Gastroenterology, Hepatology, and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States |
||
Changes over time in liver and spleen T1 relaxation and MR elastography (MRE) measurements in children with autoimmune liver disease (AILD) have not been extensively studied as markers of disease. Iron (T2*)-corrected T1 (cT1) mapping and MRE were performed in 67 pediatric/young adult patients at baseline, 12, and 24 months. One-way ANOVA (mixed model) tests identified no statically significant changes in liver cT1 and liver and spleen stiffness over time but near-significant trends were identified. Further studies with larger sample sizes are needed to expand upon these preliminary results and define the roles of cT1 and MRE in clinical practice. |
| 2104 | MRI-based quantitation of liver fat fraction does not predict the hypertrophy rate in patients with colorectal liver metastases undergoing PVE | |
| Lea Hitpass1, Paul Felix Sieben1, Vanessa Raaff1, Philipp Bruners1, Christiane K. Kuhl1, and Alexandra Barabasch1 | ||
1Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Aachen, Germany |
||
There is a substantial clinical need to identify patients who benefit from PVE procedure before undergoing major liver surgery. Elevated liver fat fraction is a frequent finding on pre-procedural MRI based on increasing rates of (non-) alcoholic fatty liver disease as well as chemotherapy-associated steato-hepatitis. Therefore, it was this studys aim to investigate the correlation of MRI-based liver fat fraction on hypertrophy rates after PVE.Including patients with colorectal liver metastases undergoing a single type of portal vein occlusion only there was no correlation found indicating that MRI-based high liver fat fraction should not discourage to perform PVE. |
| 2105 | Hepatocellular Adenoma: Radiology-Pathology Subtype Associations with Hepatobiliary Phase MRI | |
| Alix C Hopp1, Carolyn Mead-Harvey2, and Alvin C Silva1 | ||
1Radiology, Mayo Clinic Arizona, Phoenix, AZ, United States, 2Mayo Clinic Arizona, Phoenix, AZ, United States |
||
Hepatocellular adenoma (HCA) is an uncommon benign tumor with risk for tumoral hemorrhage and malignant transformation. At least four HCA subtypes have been described: Inflammatory (I-HCA); hepatocyte nuclear factor 1-α mutated (H-HCA); β-catenin (B-HCA); and unclassified (U-HCA). I-HCA has the highest risk for tumoral hemorrhage, whereas B-HCA is the most likely to undergo malignant transformation. Clinical management differs for HCA subtypes, based on their different level of risk for complications. This study examines the image findings of pathologically proven HCAs from our institution on gadoxetic acid-enhanced MRI, in order to describe association between MRI image findings with HCA subtypes. |
| 2106 | Acquisition of High-resolution Time Intensity Curves Using a Deep Learning Reconstruction for Dynamic Contrast Enhanced MRI | |
| Hideaki Kutsuna1, Hideki Ota2,3, Yoshimori Kassai4, Hidenori Takeshima5, Tatsuo Nagasaka6, Takashi Nishina7, Yoshiaki Morita3, and Kei Takase3,8 | ||
1MRI Systems Development Department, Canon Medical Systems Corporation, Kanagawa, Japan, 2Department of Advanced MRI Collaboration Research, Tohoku University Graduate School of Medicine, Miyagi, Japan, 3Department of Diagnostic Radiology, Tohoku University Hospital, Miyagi, Japan, 4CT-MR Solution Planning Department, Canon Medical Systems Corporation, Tochigi, Japan, 5Advanced Technology Research Department, Research and Development Center, Canon Medical Systems Corporation, Kanagawa, Japan, 6Department of Radiological Technology, Tohoku University Hospital, Miyagi, Japan, 7MRI Sales Department, Canon Medical Systems Corporation, Miyagi, Japan, 8Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, Miyagi, Japan |
||
The purpose is to provide improved time intensity curves (TICs) of dynamic contrast enhanced MRI. In this work, a method based on convolutional neural network (CNN) was compared with a conventional method based on compressed sensing (CS). While both of the methods used radial sampling for free-breathing acquisitions, reconstruction strategies were different. The experimental results showed that, in comparison with the images reconstructed with CS, the images reconstructed with CNN exhibited higher temporal resolution in the TICs without losing spatial detail. |
| 2107 | Comparison of MRI and CT for Prediction of Microvascular Invasion in Solitary Hepatocellular Carcinoma: Which Imaging Modality Is Better? | |
| Xiang-Pan Meng1, Yuan-Cheng Wang1, and Shenghong Ju1 | ||
1Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China |
||
Given the fundamental role of imaging in predicting MVI, it is important to understand relative ability of different imaging modalities. However, whether CT and MRI have a comparable predictive performance for MVI is unknown. This study aimed to compare the performance of CT and MRI for prediction of MVI in solitary HCC and investigate added value of radiomics analysis for MVI prediction. |
| 2108 | MR Elastography-based Shear Strain Mapping for Assessment of Microvascular Invasion in Hepatocellular Carcinoma | |
| Bing Hu1, Ziying Yin2, Mengsi Li1, Ying Deng1, Sichi Kuang1, Jun Chen2, Linqi Zhang1, Meng Yin2, Kevin J. Glaser2, Richard L. Ehman2, and Jin Wang1 | ||
1Radiology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China, 2Radiology, Mayo Clinic, Rochester, MN, United States |
||
The presence of microvascular invastion (MVI) at histopathology is an important predictive factor in managing hepatocellular carcinoma (HCC). We evaluated the potential of MRE-based shear strain mapping to assess adhesion characteristics at tumor boundaries and to non-invasively predict the presence of MVI. We retrospectively calculated maps displaying octahedral shear strain in exams of 61 HCC patients who underwent 3D multi-frequency MRE examinations. Results demonstrated that the prevalence of adherent tumor-liver parenchyma interface in positive MVI groups was significantly higher than negative groups. The results provide evidence that MRE-based shear strain mapping is helpful for non-invasive prediction of MVI in HCC. |
| 2109
|
A nomogram based on Gd-EOB-DTPA-enhanced MRI to predict early recurrence of hepatocellular carcinoma after curative resection | |
| Meng Yan1, Xinming Li1, Zhijun Geng2, Zhendong Qi1, Yingjie Mei3, and Xianyue Quan1 | ||
1Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China, 2Department of Medical Imaging,Sun Yat-sen University Cancer Center, Guangzhou, China, 3Philips Healthcare, Guangzhou, China |
||
Hepatic resection is the optimal treatment for patients with hepatocellular carcinoma (HCC) in the very early or early stage [Barcelona Clinic Liver Cancer (BCLC)0/A]. However, recurrence within 2 years occurs in 30%–50% of patients; hence, HCC is the major cause of mortality. This study aimed to develop and validate a clinical model to predict the early recurrence of HCC after curative resection. The proposed nomogram provided better discrimination than the BCLC stage and AJCC-TNM (eight edition). |
| 2110 | Correlation of functional MRI with changes in tumor microenvironment following sorafenib and immunotherapy in hepatocellular carcinoma | |
| Yanqiao Ren1, Jingjie Yan2, Lian Yang1, Qingjia Bao3, Chaoyang Liu3, and Chuansheng Zheng1 | ||
1Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China, Wuhan, China, 2Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China., Wuhan, China, 3State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathmatics, Innovation Academy for Precision Measurement Science and Technology, 430071Wuhan, China, Wuhan, China |
||
Molecular and pathological characteristics of the tumor microenvironment have been shown to cause tumor heterogeneity and variability in therapeutic responses. We used functional MRI to evaluate the changes in tumor microenvironment after treatment with sorafenib and anti-PD-L1 antibody for hepatocellular carcinoma (HCC). The results indicated that DWI-MRI and MRS could dynamically assess microenvironmental changes including tumor necrosis and tumor hypoxia. The findings of this study are conducive to the establishment of an accurate correlation between imaging features-microenvironment characteristics-tumor anti-vascular treatment and immunotherapy, and the realization of scientific and precise individualized treatment of HCC. |
| 2111 | Dynamic contrast enhanced imaging (DCE-MRI) combined with T1 and T2 mapping for differentiation between HCC and HM | |
| Lili Fan1, Ailian Liu1, Jiazheng Wang2, Liangjie Lin2, Lihua Chen1, Qingwei Song1, Renwang Pu1, Ying Zhao1, Tao Lin1, and Xue Ren1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
||
Liver cancer and liver metastases are the most common liver malignancies. The accurate diagnosis of hepatocellular carcinoma (HCC) and hepatic metastasis (HM) is of great significance to the choice of treatment options. We aimed to explore the value of dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) combined with T1 and T2 mapping to distinguish HCC from HM. Results showed that DCE combined with T1 and T2 mapping had the highest efficacy (AUC: 0.936; sensitivity: 81.8%; specificity: 100%). |
| 2112 | 3D Dual Flip Angle (DFA) T1 mapping at 3T for focal liver lesions: comparison with diffusion-weighted imaging | |
| Fei Wang1, Juan Zhu1, Yupei Zhang1, and Mengxiao Liu2 | ||
1Anqing municipal hospital, Anqing, China, 2MR scientific Marketing, Diagnostic Imaging, Siemens Healthcare Ltd, Shanghai, China |
||
The diagnostic value of dual-flip angle (DFA) T1 mapping and DWI imaging in the diagnosis of benign and malignant focal liver lesions (FLLs) were compared.T1 mapping includes Native T1,Enhanced T1 in the equilibrium period of 2 minutes after Gd-DTPA enhancement,and T1 enhancement rate ΔT1%.In T1 mapping, the enhanced T1 value and ΔT1% have diagnostic sensitivity and specificity similar with DWI.The Native T1 value is superior to DWI in the differential diagnosis of liver cysts and hemangioma.T1 mapping has a promising future as a non invasive alternative method for biopsy identification of benign and malignant FLLs. |
| 2113 | Data-driven modification of the LI-RADS major feature system: toward better sensitivity and simplicity | |
| Hanyu Jiang1,2, Bin Song1, Yun Qin1, Yi Wei1, Kyle J. Lafata2,3, Meghana Konanur2, Matthew DF McInnes4,5, and Mustafa R. Bashir2,6,7 | ||
1Radiology, West China Hospital, Sichuan University, Chengdu, China, 2Radiology, Duke University Medical Center, Durham, NC, United States, 3Radiation Oncology, Duke University School of Medicine, Durham, NC, United States, 4Radiology, University of Ottawa, Ottawa, ON, Canada, 5Epidemiology, University of Ottawa, Ottawa, ON, Canada, 6Center for Advanced Magnetic Resonance in Medicine, Duke University Medical Center, Durham, NC, United States, 7Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC, United States |
||
We aimed to propose a revised LI-RADS (rLI-RADS) for hepatocellular carcinoma (HCC) based on the LI-RADS version 2018 (v2018) major feature system on gadoxetate disodium (EOB)-enhanced MRI. We retrieved 224 consecutive at-risk patients with 742 LR-3 to LR-5 hepatic observations from a prospectively-collected database. In the training set, LI-RADS v2018 major features evaluated by three independent radiologists were used to develop rLI-RADS according to the likelihood of HCC. Compared with LI-RADS v2018, rLI-RADS was completely data-driven, remarkably simpler, and demonstrated significantly optimized diagnostic sensitivity and accuracy while maintaining reasonable specificity for HCC. |
| 2114 | Comparing dedicated 2D-GRE to 3D-SPGR Dixon in- and opposed-phase imaging for the detection of hepatic intralesional fat or iron. | |
| Bradley C Monteforte1, Ali Agely1, Manoj Mathew1, Pejman Ghanouni1, and Ryan L Brunsing1 | ||
1Radiology, Stanford University, Palo Alto, CA, United States |
||
In- and opposed-phase imaging has become integral in liver MR imaging due to its ability to identify intravoxel fat or iron, important ancillary features in lesion characterization, particularly during hepatocellular carcinoma surveillance. Potentially, these features can be assessed through images acquired from dynamic contrast-enhanced imaging, rather than separate sequence acquisitions, decreasing scan times. Two blinded radiologists retrospectively reviewed MR liver examinations comparing in- and opposed-phase 2D-GRE imaging to 3D-SPGR Dixon imaging for the assessment of intralesional fat or iron. We found that there is no difference in fat or iron detection performance between dedicated 2D-GRE and 3D-SPGR Dixon sequences. |
| 2115 | Application of APT and DKI in predicting the postoperative liver decompensation and recurrence of early HCC after TACE treatment | |
| Cai ming xi1, Han dong ming1, and Wang kai yu2 | ||
1The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China, 2GE Healthcare, MR Research China, Beijing, China |
||
In this study we assessed the feasibility of quantitative parameters derived from amide proton transfer (APT) and diffusion kurtosis imaging (DKI) in predicting the response to transcatheter arterial chemoembolization (TACE) treatment for hypervascular hepatocellular carcinoma (HCC). The combination model of quantitative parameters of APT and DKI showed good diagnostic performance in predicting the recurrence and postoperative liver decompensation. Therefore, APT and DKI can be used as potential imaging biomarkers to predict the effect of early-stage HCC after TACE treatment. |
| 2116 | Contrast-enhanced MRI radiomics for predicting therapeutic response to transcatheter arterial chemoembolization in HCC | |
| Ying Zhao1, Ailian Liu1, Tao Lin1, Qingwei Song1, Yu Yao2,3, Han Wen2,3, Xin Li4, Yan Guo4, and Tingfan Wu4 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Chengdu Institute of Computer Application, Chinese Academy of Sciences, Chengdu, China, 3University of Chinese Academy of Sciences, Beijing, China, 4GE Healthcare (China), ShangHai, China |
||
In the present study, contrast-enhanced MRI radiomics was demonstrated to be capable to predict therapeutic response in hepatocellular carcinoma treated with transcatheter arterial chemoembolization, which will provide some guidance for treatment decisions. |
| 2117 | Accelerated Radial Turbo-Spin-Echo Sequence for Free-Breathing Abdominal T2 Mapping | |
| Fei Han1 and Vibhas Deshpande2 | ||
1US MR R&D, Siemens Medical Solutions, USA, Los Angeles, CA, United States, 2US MR R&D, Siemens Medical Solutions, USA, Austin, TX, United States |
||
This study proposes a comprehensive strategy to accelerate a Radial-TSE acquisition for qualitative T2-weighted imaging and quantitative T2 mapping for body applications. A fast k-space calibration method, a radial de-streaking method based on geometric coil mixing and accelerated acquisition using multiple gradient-echo radial readout between 180° refocusing pulses were implemented. Preliminary validation in phantom and in-vivo experiments shows that the proposed method reduces the scan time of Radial-TSE by half without noticeable loss of image quality and quantification accuracy. The proposed method may allow more efficient acquisition and improve the clinical applicability of free-breathing abdominal T2 quantitative imaging. |
| 2118 | Comparison analysis of IVIM and 4D flow-MRI in patients with liver cirrhosis | |
| Mengting Hu1, Nan Wang1, Ailian Liu1, Qingwei Song1, Renwang Pu1, Lihua Chen1, Jiazheng Wang2, and Zhiwei Shen2 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Dalian, China |
||
The occurrence and development of liver cirrhosis is accompanied by changes in portal vein blood flow and intrahepatic blood flow, which may eventually lead to liver implantation [1]. Liver-lobe-based IVIM-derived parameters can be associated with cirrhosis [2]. 4D flow-MRI could scope the portal vein blood flow [3]. In this study, we explored the correlation between the perfusion paraments and quantitative values of blood flow in patients with liver cirrhosis using IVIM and 4D flow-MRI, investigating the potential connections between portal vein flow changes and liver cirrhosis. |
| 2119 | Noninvasive Diagnosis of Portal Hypertension and Screening Varices with 4D Flow MRI: A Pilot Study | |
| Jiachen Ji1, Changchun Liu2, Yunduo Li1, Mingzhu Fu1, Jinghui Dong2, Jianming Cai2, Chunsheng Chi3, Bo Jin3, Wen Shen4, Xiaolong Qi5, and Rui Li1 | ||
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China, 2Department of Radiology, The Fifth Medical Centre of Chinese PLA General Hospital, Beijing, China, Beijing, China, 3First Liver Cirrhosis Diagnosis and Treatment Center, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China, Beijing, China, 4Department of Radiology, First Center Hospital of Tianjin, Tianjin, China, Tianjin, China, 5CHESS Center, Institute of Portal Hypertension, The First Hospital of Lanzhou University, Lanzhou, China, Lanzhou, China |
||
Portal hypertension (PH) is a severe liver disease which could lead to gastroesophageal varices. Noninvasive methods to diagnose PH and to evaluate the risk of variceal bleeding are needed. 4D Flow MRI is an advanced technique which could provide visualization and quantification of blood flow. In the study, we identified the reproducibility of the processing and quantifying procedure of 4D Flow data and discovered the significant hemodynamic differences in portal vein between PH patients and controls using 4D Flow MRI. Additionally, we tested the performance of 4D Flow MRI in diagnosing PH and stratifying the risk of variceal bleeding. |
| 2120 | Influence of portal vein occlusion on portal flow and liver elasticity in an animal model | |
| Simon Chatelin1, Raoul Pop2,3, Céline Giraudeau2, Khalid Ambarki4, Ning Jin5, François Séverac1,6, Elodie Breton1, and Jonathan Vappou1 | ||
1ICube, UMR 7357 CNRS, University of Strasbourg, Strasbourg, France, 2IHU-Strasbourg, Institute of image-guided surgery, Strasbourg, France, 3Interventional Neuroradiology Department, University Hospitals of Strasbourg, Strasbourg, France, 4Siemens Healthcare SAS, Saint Denis, France, 5Siemens Medical Solutions USA, Inc., Chicago, IL, United States, 6Public Healthcare Department, University Hospitals Strasbourg, Strasbourg, France |
||
Hepatic fibrosis causes an increase in the liver stiffness, a parameter measured by elastography and widely used as diagnosis method. This study aims at determining the extent to which a portal occlusion due to concomitant portal vein thrombosis can also affect these mechanical properties. Portal vein occlusion was generated by progressive inflations of a balloon catheter in the portal vein of four swines. The portal flow and liver stiffness were investigated using 4D-flow MRI and MR-Elastography. This vascular mechanism is shown to be sufficient to attenuate the increase in stiffness due to moderate fibrosis and may lead to false-negative diagnosis. |
| 2121 | Microvascular Invasion has no Independent Effect on Recurrence in Small Hepatocellular Carcinoma: A Propensity Score Matching Analysis | |
| Huan-Huan Chong1,2, Pei-Yun Zhou3,4, Chun Yang2, and Meng-Su Zeng1,2,5 | ||
1Shanghai Institute of Medical Imaging, Shanghai, China, 2Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China, 3Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China, 4Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Shanghai, China, 5Department of Medical Imaging, Shanghai Medical College, Fudan University, Shanghai, China |
||
Whether microvascular invasion (MVI) is a prognosis factor for small hepatocellular carcinoma (sHCC) is controversial, a preoperatively predictive model based on gadoxetate disodium (Gd-EOB-DTPA) MRI is clinical needed for MVI in sHCC.We concluded that alpha-fetoprotein>20 ng/mL, non-smooth margin, incomplete or absent capsule, peritumoral enhancement and larger tumor size were independent risk factors for MVI in patients with sHCC ≤3 cm. Although MVI independently impaired RFS before propensity score matching (PSM), it was ultimately identified as a potential but not an independent risk factor for recurrence in sHCC patients after PSM balancing the confounder — tumor size. |
| 2122 | Echo time dependence of the biexponential and triexponential IVIM parameters in the liver | |
| Tobit Führes1, Andreas Julian Riexinger1, Jan Martin2, Martin Gerhard Loh1, Bernhard Hensel3, Michael Uder1, and Frederik Bernd Laun1 | ||
1University Hospital Erlangen, Erlangen, Germany, 2Lund University, Lund, Sweden, 3Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany |
||
In this study, we acquired diffusion-weighted image data of 15 healthy volunteers at four different TE. A ROI-based IVIM analysis showed that the pseudodiffusion coefficients did not change with TE, whereas the perfusion fractions rose significantly for bi- and triexponential IVIM curves at longer TE. A quantitative analysis indicates that the triexponential perfusion fractions are unlikely attributable to venous and arterial blood compartments. Our results indicate moreover that the pseudodiffusion coefficients can be compared without TE-correction among studies performed with different TE. |
| 2123 | Motion-Robust, High-SNR Diffusion MRI of the Liver using Optimized Gradient Waveforms and Deep Learning Reconstruction | |
| Yuxin Zhang1,2, Arnaud Guidon3, Xiaoili Zhao4, Gaohong Wu4, Hua Li4, Ruiqi Geng1,2, and Diego Hernando1,2 | ||
1Medical Physics, University of Wisconsin Madison, Madison, WI, United States, 2Radiology, University of Wisconsin Madison, Madison, WI, United States, 3GE Healthcare, Boston, MA, United States, 4GE Healthcare, Waukesha, WI, United States |
||
Diffusion MRI of the liver has important applications in the detection of metastatic lesions. Unfortunately, conventional diffusion MRI is highly sensitive to cardiac-induced motion in the left lobe, whereas recently developed motion-robust diffusion MRI methods lead to lower SNR. This work demonstrates the feasibility of combining motion-robust diffusion MRI with DL reconstruction for improved DWI of the liver, including high motion robustness and high SNR. In early-stage evaluation, the combined technique provides excellent motion robustness, quantitative reliability, and high SNR throughout the entire liver, and may have application in the detection and evaluation of metastatic liver lesions. |
| 2124 | Staging chronic hepatitis B related liver fibrosis with a fractional order calculus diffusion model | |
| Ruofan Sheng1, Yunfei Zhang2, Mengsu Zeng1, and Yongming Dai2 | ||
1Zhongshan Hospital affiliated to Fudan University, Shanghai, China, 2Central Research Institute, United Imaging Healthcare, Shanghai, China |
||
Recently, a novel non-Gaussian DWI model, known as the fractional order calculus (FROC) model, was developed for biomedical applications. Until now, hardly has the FROC-DWI been applied in the hepatic imaging Thus, this study aimed to evaluate the value of FROC diffusion model in staging liver fibrosis. According to our results, the FROC-DWI-derived parameters (D, β, and μ) were significantly correlated with fibrosis stages, contributing positively to non-invasive assessment of liver fibrosis. The combination of FROC-DWI and conventional mono-exponential DWI held great potential in noninvasively staging liver fibrosis, superior to serum fibrosis biomarkers including APRI and FIB-4. |
| 2125 | Liver Diffusion-Weighted MR Imaging with Compressed SENSE based on Single-Shot Echo-Planar Imaging: An intra-individual comparison | |
| Maike Bode1, Shuo Zhang1,2, Nils A. Krämer1, Christiane K. Kuhl1, and Alexandra Barabasch1 | ||
1Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany, 2Philips Healthcare, Hamburg, Germany |
||
Compressed sensing (CS) has been reported to accelerate acquisition time in morphological imaging without image quality loss. The impact of CS on diffusion weighted imaging (DWI) in liver MRI has not yet been investigated. Therefore, the aim of our study was to test whether CS-based reconstruction is useful in echo-planar imaging (EPI) DWI. In this intra-individual comparison, EPI-DWI with CS-based reconstruction (CS-DWI) received comparable image quality ratings as conventional EPI-DWI. However, in a direct head-to-head-comparison, we found that a small fraction of focal liver lesions was missed on CS-DWI without apparent reason. |
| 2126 | Reproducibility and Variability of Liver ADC Using Simultaneous Multi-slice DWI with Different Breathing Schemes and Different MR Vendors | |
| Zheng Ye1, Bin Song1, Yuming Li1, Qing Li2, Lisha Nie3, and Xiaocheng Wei3 | ||
1West China Hospital, Sichuan University, Chengdu, China, 2MR collaborations, Siemens Healthcare Ltd., Shanghai, China, 3MR Research, GE Healthcare, Beijing, China |
||
Diffusion-weighted imaging (DWI) provides anatomic and functional information, and apparent diffusion coefficient (ADC) has been proposed as a valuable biomarker in liver diseases. Simultaneous multi-slice (SMS) technique allows for exciting and acquiring multiple slices at the same time, and thus reducing scan time, which has been recently proved to be feasible in liver imaging. Our study investigated the reproducibility and variability of liver ADC of SMS-DWI with different breathing schemes and different vendors. We found good reproducibility of liver ADC across different MR vendors in both breath-hold and free-breathing manner. However, liver ADC is less reproducible between different breathing schemes. |
| 2127 | Optimization of b-values sampling scheme for several diffusion-weighted MRI models in the liver | |
| Jiqing Huang1, Benjamin Leporq1, BEUF Olivier1, and Hélène Ratiney1 | ||
1Univ Lyon, INSA Lyon, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69621, Lyon, Villeurbanne, France |
||
To determine an optimal b-values sampling scheme for different non-Gaussian diffusion models in the liver, including diffusion kurtosis imaging (DKI), stretched-exponential model (SEM), intravoxel incoherent motion (IVIM), we optimized diffusion-weighting b-values sets using simulations mimicking real data and a b-value selection based on a Monte Carlo-like approach. Estimation performances were evaluated in terms of mean square error on signal and mean absolute percentage error on parameters in simulated data. The parameter estimation, with optimized set of b-values was finally applied on real data. The results showed that comparable fitting parameters and reconstructing signal can be obtained with fractional b-values. |
| 2128 | Diffusion kurtosis imaging (DKI) for predicting Ki-67 expression in hepatocellular carcinoma | |
| Qiying Ke1, Tianyuan Zhang2, Xuan Jin1, Xinming Li1, Yingjie Mei3, and Xianyue Quan1 | ||
1Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China, 2Department of Radiology, Foshan First People's Hospital, Foshan, China, 3Philips Healthcare, Guangzhou, China |
||
Diffusion kurtosis imaging (DKI) is a promising non-invasive method for evaluating the expression of Ki-67, a marker of cellular proliferation in HCC, which may contribute to predict recurrence and prognosis preoperatively. In this study, we evaluated the potential role of DKI in preoperative prediction of Ki-67 expression in HCC. The results show that increased MK and decreased ADC values are potential predictive biomarkers for of Ki-67 expression of in HCC. |
| 2129 | Phase correction in liver single-shot DW-EPI acquired with partial Fourier encoding | |
| Anh T. Van1, Sean McTavish1, Johannes M. Peeters2, Kilian Weiss3, Marcus R. Makowski1, Rickmer F. Braren1, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, 2Philips Healthcare, Best, Netherlands, 3Philips Healthcare, Hamburg, Germany |
||
In single shot diffusion imaging of moving organs, undesired motion during diffusion encoding introduces rapid phase variations in the obtained images. When partial Fourier encoding is used to reduce SNR loss in short T2 tissues, the motion-induced rapid phase variation compromises the partial Fourier reconstruction, resulting in “worm-like” artifacts in the reconstructed images. This work shows that by applying phase correction before the partial Fourier reconstruction motion-induced artifacts can be mitigated, improving the quality of diffusion-weighted images in liver applications. |
| 2130 | A New Diffusion-based Elastography for Quantitatively Assessing Liver Fibrosis without External Devices in a Large Set of Patients | |
| Jie Yuan1, Fan Mo2, Yongming Dai2, Yuan Feng3, Suhao Qiu3, Songhua Zhan1, and Zhigang Gong1 | ||
1Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, 201203, Shanghai, China, 2MR Collaboration, United Imaging Healthcare, Shanghai, China, 3Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China |
||
Due to the non-invasive superiority, Magnetic Resonance Elastography (MRE) has emerged as an alternative approach to liver biopsy, the current golden standard for staging liver fibrosis. However, the use of external vibration devices brings costs of scan time and money. Diffusion Weighted Imaging (DWI) has shown the potential to characterize liver fibrosis at a microscopic level recently. The purpose of this study is to evaluate the potential of DWI to provide quantitative estimates of tissue stiffness without external devices among patients with different types of liver fibrosis and compare the inter-method agreement between MRE and the proposed method. |
| 2131 | Comparison of integrated-shimming EPI and conventional SS-EPI diffusion-weighted MR imaging in Liver lesions | |
| Hu Guo1, Huiting Zhang2, Junjiao Hu1, and Jun Liu1 | ||
1Department of Radiology, the Second Xiangya Hospital of Central South University, Changsha, China, 2MR Scientific Marketing, Siemens Healthcare, Wuhan, China |
||
The purpose of this study is to compare image quality and apparent diffusion coefficient (ADC) value between single-shot spin-echo echo-planar imaging (SS-EPI) and integrated slice-specific dynamic shimming (iShim) DWI methods in liver. Compared to SS-EPI, iShim had better image quality and showed more small lesions. No significant differences of ADC values were found between the two methods. |
| 2132 | Gradient non-linearity correction in liver DWI using motion compensated diffusion encoding waveforms | |
| Sean McTavish1, Anh T. Van1, Johannes M. Peeters2, Kilian Weiss3, Marcus R. Makowski1, Rickmer F. Braren1, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany, 2Philips Healthcare, Best, Netherlands, 3Philips Healthcare, Hamburg, Germany |
||
Despite its strong clinical significance in lesion detection and tumor staging, liver DWI remains challenged by its strong sensitivity to motion effects. Motion-compensated diffusion encoding schemes have been recently proposed to improve DW liver signal homogeneity especially in the left liver lobe, a region typically affected by cardiac motion. In addition, a simplified gradient non-linearity correction scheme has been proposed for usage with standard pulsed gradient spin echo (pgse) diffusion encoding waveforms. The present work investigates the usage of this gradient nonlinearity correction algorithm with different motion compensated diffusion encoding gradient waveforms in the context of coronal ADC mapping in the liver. |
| 2133 | MultiBand-SENSE EPI with Variable-Rate Selective Excitation (VERSE) pulses for accelerating abdominal DWI with respiratory triggering | |
| Kosuke Morita1, Masami Yoneyama2, Hiroshi Hamano2, Takeshi Nakaura3, Seitaro Oda3, Akira Sasao3, Hiroyuki Uetani3, Shogo Fukuda3, Masahiro Hatemura3, and Toshinori Hirai3 | ||
1Radiology, Kumamoto university, kumamoto-shi, Japan, 2Philips Japan, shinagawa, Japan, 3Kumamoto university, kumamoto-shi, Japan |
||
We used respiratory triggered MultiBand SENSE (MB-SENSE) DWI using variable-rate selective excitation (MB-VERSE). We first measured ADC values of liver and kidney and subsequently performed visual assessment. The MB-VERSE DWI reduced the imaging time while improving the image quality and robustness of ADC values. |
| 2134 | Comparison of Air Coil and the traditional abdomen coil for multiplexed sensitivity encoding diffusion weighted imaging (MUSE-DWI) of the liver | |
| Wen Huiquan1, Zhang Yao2, Lin Wusheng2, Pi Shan2, Fang Ling3, and Wang Jin2 | ||
1Radiology, the Third Affiliated Hospital of Sun Yat-sen University (SYSU), Guangzhou, China, 2the Third Affiliated Hospital of Sun Yat-sen University (SYSU), Guangzhou, China, 3Department of Radiology, the Third Affiliated Hospital of Sun Yat-sen University (SYSU), Guangzhou, China |
||
DWI is instrumental to screening and differential diagnosis of liver lesions. However, the diagnostic value DWI is often hindered by low SNR and severe image distortions, particularly in the left liver lobe. We explored the feasibility and efficacy of the combined use of AIR coil and multiplexed sensitivity encoding DWI (MUSE-DWI) in improving the image quality of liver. The results showed that MUSE-DWI with AIR Coil can effectively improve the image quality and reduce the image distortion of liver images, compared with the traditional abdomen coil, thus it is a feasible and effective method for detection of liver lesions. |
| 2135 | Temporal diffusion spectroscopy with oscillating gradient echoplanar MRI : signal to noise and ADC repeatability in mice liver. | |
| Meryem Khalfallah1, Gwenaël Pagé1, Sabrina Doblas1, Bernard Van-Beers1,2, and Philippe Garteiser1 | ||
1Center of research on inflammation (UMR1149), Inserm - Université de Paris, Paris, France, 2Beaujon hospital radiology departement, APHP, Paris, France |
||
Temporal diffusion spectroscopy using oscillating encoding gradients enables assessing tissue microstructure at a user-selected, arbitrary spatial scale. It has been demonstrated that this method is feasible with OGSE-EPI sequence. To study its robustness an OGSE-EPI sequence was implemented and repeatability and signal to noise ratio were assessed with two radiofrequency hardware setups and with or without respiratory gating. The effect of OGSE frequency was assessed for the pure diffusion coefficient (D) and for the apparent diffusion coefficient (ADC). Using a 4-channel surface coil and respiratory gating when measuring ADC at 100 Hz, the optimal repeatability coefficient (28%) was obtained. |
| 2136 | The diagnostic performance of Gd-EOB-DTPA-enhanced MRI based T1HBP value for liver function assessment | |
| Pin Yang1, YanLi Jiang1, PengFei Wang1, TieJun Gan1, Rui Wang1, Jing Zhang1, and Kai Ai2 | ||
1Department of Magnetic Resonance, LanZhou University Second Hospital, Lanzhou, China, 2Philips Healthcare, Xi’an, China |
||
The correlation between T1 relaxation times of hepatobiliary phase (T1HBP) and indocyanine green retention at 15min (ICG R15), as well as transient elastrography (TE) still need to be confirmed. This study evaluates the correlation among T1HBP, ICG R15 and TE. Our research showed that T1HBP had significant correlation with ICG R15 and TE. The above results demonstrated that T1HBP may be a promising radiography biomarker for liver function assessment. |
| 2137 | Detection of liver fibrosis in a Rat NASH Model using water specific T1 mapping with Gadoxetic Acid -enhanced MRI | |
| Qian Wan1,2, Hao Peng 1, Jianxun Lyu1,2, Xiaoyi Liu3, Chuanli Cheng1, Feng Liu3, Yangzi Qiao1, Hairong Zheng1, Xin Liu1, Yi Wang3, and Chao Zou1 | ||
1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2Shenzhen College of Advanced Technology,University of Chinese Academy of Sciences, Shenzhen, China, 3Peking University People's Hospital, Beijing, China |
||
The severity of live fibrosis is one of the most important prognostic factors for the long-term outcomes of Nonalcoholic steatohepatitis (NASH). Early and precise diagnosis is of crucial importance for the disease management of NASH patients. In this work, we detected the liver fibrosis using water specific T1 mapping with Gadoxetic Acid -enhanced MRI in a rat NASH model induced by methionine-choline deficient (MCD) diet. The study revealed that the reduction rates of water-T1 relaxation time before and after Gd-EOB-DTPA administration might be a useful tool to stage the mild and moderate live fibrosis in rat NASH model. |
| 2138 | T1 reduction rate with Gd-EOB-DTPA to determine liver function in MRI – comparison between 1.5T and 3T in a cross-sectional study | |
| Verena C. Obmann1, Damiano Catucci1, Annalisa Berzigotti2, Christoph Gräni3, Lukas Ebner1, Johannes Thomas Heverhagen1, Andreas Christe1, and Adrian Thomas Huber1 | ||
1Radiology, Inselspital, University of Bern, Bern, Switzerland, 2Visceral Surgery and Medicine, University of Bern, Inselspital, Bern, Switzerland, 3Cardiology, University of Bern, Inselspital, Bern, Switzerland |
||
This study demonstrates that the MRI T1 reduction rate, based on T1 mapping before and after GD-EOB-DTPA, allows an accurate analysis of liver function and may be used interchangeably at 1.5T and 3T without image post-processing. T1 reduction rate was able to distinguish patients with no liver disease, patients with CLD and patients with liver cirrhosis Child A-C from one another. |
| 2139 | Quantitative Assessment of Liver Function by using Hepatocyte Fraction based on Gd-EOB-DTPA-Enhanced MRI | |
| Xueqin ZHANG1, Jian LU1, Jifeng JIANG1, and Weibo CHEN2 | ||
1the Third People’s Hospital of Nantong, Nantong, China, 2Philips Healthcare, Shanghai, China |
||
The purpose of this study was to assess the ability of hepatocyte fraction on Gd-EOB-DTPA-enhanced MRI for the quantitative evaluation of liver function. We used Look-Locker sequences to acquire T1 mapping images pre and post-contrast at 20 minutes after Gd-EOB-DTPA administration. T1 relaxation times (T1pre and T1post) of the liver, reduction rates of T1 relaxation times (rrT1), hepatocyte fraction (HeF) and KHep were measured. Our study showed that T1post, rrT1, HeF and KHep vlaues based on Gd-EOB-DTPA-enhanced T1 mapping MRI are efficient diagnostic tools for the quantitative evaluation of liver function. |
| 2140 | Study of Gd-EOB-DTPA T1mapping in quantitatively staging hepatic fibrosis in a rabbit model | |
| Zuhui Zhu1, Wei Xing1, Haifeng Liu1, Qing Wang1, Yanan Du1, Yufeng Li1, and Jilei Zhang2 | ||
1Department of Radiology, third Affiliated Hospital of Soochow University & Changzhou First People's Hospital, Changzhou, China, 2Philips Healthcare, Shanghai, China |
||
To explore parameters obtained by Gd-EOB-DTPA T1 mapping and extracellular volume fraction in evaluating hepatic fibrosis (HF) in a rabbit model. The HF model was established by carbon tetrachloride (CCl4).Rabbits underwent pathological examination to determine the HF stage using the metavir classification system. Parameters including T1native, T110 min, T120 min, ECV10 min and ECV20 min were measured and compared among the different HF stages using spearman correlation coefficients and receiver operating characteristic curve. The AUC of T120 min was higher than that of other quantitative parameters. T1 mapping parameters and ECV fraction are closely associated with HF progression. |
| 2141 | Regional Liver Function Pre- and Post-Resective Liver Surgery in Patients | |
| Christian Simonsson1,2, Markus Karlsson1, Nils Dahlström1, Peter Lundberg1,2, Wolf Claus Bartholomä1,2, Gunnar Cedersund2,3, Per Sandström4, and Anna Lindhoff Larsson34 | ||
1Department of Radiation Physics, Radiology, Linköping University, Linköping, Sweden, 2Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden, 3Department of Medical Engineering, Linköping University, Linköping, Sweden, 43Department of Surgery, Department of biomedical and clinical sciences, Linköping University, Linköping, Sweden |
||
A range of severe liver diseases are identified only in very late stages. At a late stage, the only remaining treatment may be resective liver surgery. The resection can lead to serious complications if the remnant tissue fails to match the requirement of liver function. Therefore, it is valuable to accurately measure both regional and global liver function to better predict the outcome of the surgery. Here we use DCE-MRI to show that there are differences in Gadoxetate uptake both between patients and regional difference between the adjacent segments before and after resective surgery. |
| 2318 | The reduction in the contribution of a fast diffusing component for pancreatic malignancy detection – A preliminary study | |
| Debbie Anaby1, Maria Raitses-Gurevich2, Sara Apter1,3, Yael Inbar1,3, Hadassa Degani4, and Talia Golan2,3 | ||
1Diagnostic Imaging Department, Sheba Medical Center, Ramat Gan, Israel, 2Department of Oncology, Sheba Medical Center, Ramat Gan, Israel, 3Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel, 4Life Sciences, Weizmann Institute of Science, Rehovot, Israel |
||
Early detection of pancreatic cancer is challenging but essential to improve its poor prognosis. This preliminary study utilized DT-MRI in pancreas in a clinical setting. DT-MRI was based on two pairs of b-values (0,500 s/mm2 and 100,500 s/mm2), such that the existence of a fast diffusing component was observed. We found that pancreatic tumors show similar values of parametric DTI measures (λ1 and MD-ADC) when using both b-value pairs, suggesting that the fast diffusing component is reduced compared with healthy or cystic pancreatic regions. We conclude that DT-MRI of the pancreas may assist in the detection of pancreatic tumors. |
| 2319 | Predicting fibrosis grades of pancreatic ductal adenocarcinoma using intravoxel incoherent motion diffusion-weighted imaging | |
| Qi Liu1, Wei Xing1, Jilei Zhang2, JingGang Zhang1, Jie Chen1, and Bei Li1 | ||
1Department of Radiology, The Third Affiliated Hospital of Soochow University, Changzhou, China, 2Clinical Science, Philips Healthcare, Shanghai, China |
||
This study explored the feasibility of evaluating fibrosis of patients with PDAC and correlate it with histopathological features using IVIM-DWI compared with DWI. No statistically significant differences were found in ADC and D* values between the high- and low-fibrosis groups. A significant negative correlation between D values and fibrosis and a significant positive correlation between f values and fibrosis were observed. D and ƒ values derived from the IVIM model had high sensitivity and diagnostic performance for grading fibrosis in PDAC compared with the conventional DWI model. IVIM-DWI could serve as an imaging biomarker for predicting the fibrosis grade of PDAC. |
| 2320 | A study of pancreatic cancers based on integrated 18F-FDG PET/MRI scans in diagnosis of malignant tumors from benign lesions | |
| Gang FENG1, Mingxiang Sun1, Liling Peng1, Zhaoting Meng1, and Xin Gao1 | ||
1Shanghai Universal Medical Imaging Diagnostic Center, Shanghai, China |
||
To explore the value of assessing pancreatic cancers with integrated positron emission tomography (PET)/magnetic resonance imaging (MRI), fluorine-18 fluorodeoxyglucose (FDG) PET and diffusion weighted imaging (DWI) were applied. Integrated PET/MR is a promising and powerful tool for pancreatic tumor detection and assessment. It is relatively advantageous to combine PET and DWI together to discriminate malignant tumors from benign lesions. |
| 2321 | Monitoring tumor microenvironment in a mouse model of pancreatic ductal adenocarcinoma using MRI during early stages of tumor development. | |
| Ravneet Vohra1, Yak-Nam Wang2, Helena Son3, Stephanie Totten2, and Donghoon Lee1 | ||
1Radiology, University of Washington, Seattle, WA, United States, 2Applied Physics Laboratory, University of Washington, Seattle, WA, United States, 3Gastroenterology, University of Washington, Seattle, WA, United States |
||
Pancreatic cancer is expected to become the second leading cause of the cancer related deaths in the USA by 2020. A genetically engineered mouse model (KPC) offers an alternative to transplantation models for preclinical therapeutic evaluation as it expresses mutations similar to human pancreatic cell. Magnetic resonance imaging can be used to monitor tumor microenvironment in variety of tumors. The goal of this study was to monitor tumor microenvironment in KPC mouse model during the early stages of tumor development. |
| 2322 | Glutamine depletion alters choline metabolism and reduces survival of pancreatic cancer cells | |
| Noriko Mori1, Balaji Krishnamachary1, Yelena Mironchik1, and Zaver M. Bhujwalla1,2,3 | ||
1The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University, Baltimore, MD, United States, 2The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University, Baltimore, MD, United States, 3Department of Radiation Oncology and Molecular Radiation Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States |
||
Pancreatic ductal adenocarcinoma (PDAC) has poor prognosis due to a combination of late-stage diagnosis and limited response to radiation and chemotherapy. Effective treatments for PDAC are urgently needed. Mutant Kras has been reported as a major cause of glutamine (Gln) addiction in PDAC. Here we investigated the effects of Gln depletion on PDAC cell survival and metabolism. Our data identified Gln as critical for PDAC cell viability. Gln depletion significantly altered choline metabolism in the cell lines investigated. |
| 2323 | Differentiation of solid pseudopapillary tumor and neuroendocrine tumor of pancreas using enhanced T2 * weighted angiography | |
| Longshuang Wang1, Yi Wang2, Ailian Liu3, and Qinhe Zhang3 | ||
1School of Medical Imaging,Dalian Medical University,Dalian, China, Dalian Liaoning, China, 2Department of Radiology, Dalian Friendship Hospital, Dalian, China, Dalian Liaoning, China, 3Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian Liaoning, China |
||
It is difficult to differentiate the solid pseudopapillary tumor of the pancreas (SPTP) from pancreatic neuroendocrine tumors (PNET), due to their similar imaging characteristics. Enhanced T2 * weighted angiography (ESWAN) technique can simultaneously obtain amplitude, phase, R2 * and T2 * values, which can quantitatively assess the magnetic sensitivity characteristics of tissues. There was significant difference in R2 * (AUC: 0.707; sensitivity: 91.3%; specificity: 46.7%)and T2*(AUC: 0.829; sensitivity: 73.9%; specificity: 86.7%)between SPTP and PNET. Therefore, ESWAN may be an effective method to identify SPTP and PNET. |
| 2324 | Comparison of MR values at 3T and 14T in a mouse model of pancreatic ductal adenocarcinoma. | |
| Ravneet Vohra1, Yak-Nam Wang2, Helena Son3, Stephanie Totten2, and Donghoon Lee1 | ||
1Radiology, University of Washington, Seattle, WA, United States, 2Applied Physics Laboratory, University of Washington, Seattle, WA, United States, 3Gastroenterology, University of Washington, Seattle, WA, United States |
||
Pancreatic cancer is expected to become the second leading cause of the cancer related deaths in the USA by 2020. The goal of all pre-clinical magnetic resonance imaging (MRI) studies is to translate the pre-clinical MR values to the clinical scanners and ultimately to human population. MRI has been proven to be extremely useful in clinical trials for monitoring tumor development and assessing therapeutic effects of novel therapeutic strategies. The aim of this study was to measure (T2) relaxation time and magnetization ratio (MTR) in a mouse model of pancreatic ductal adenocarcinoma (PDA) at pre-clinical (14T) and clinical (3T) scanner. |
| 2325 | Glutamine transporter downregulation mediates metabolic reprogramming in pancreatic tumors | |
| Raj Kumar Sharma1, Balaji Krishnamachary1, Ishwarya Sivakumar1, Yelena Mironchik1, Marie-France Penet1, Paul T Winnard Jr.1, Santosh K. Bharti1, and Zaver M. Bhujwalla1 | ||
1Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States |
||
Pancreatic cancer cells are glutamine dependent for growth and proliferation. The glutamine transporter SLC1A5 is upregulated in pancreatic cancer and is being actively investigated as a pharmacological target. We genetically engineered human pancreatic cancer cells to express SLC1A5 shRNA to downregulate SLC1A5. 1H MRS was used to analyze metabolic differences in SLC1A5 downregulated Pa04C_SLC1A5 pancreatic cancer cells and tumors compared to empty vector cells and tumors. SLC1A5 downregulation resulted in a significantly lower glutamine/glutamate ratio in Pa04C_SLC1A5 cells. In Pa04C_SLC1A5 tumors we observed a significant reduction of several metabolites highlighting the metabolic reprogramming that occurred in tumors with SLC1A5 downregulation. |
| 2326 | MRI Role in Evaluation of T staging and Lymphatic metastases for Esophageal Cancer | |
| Yingyu Lin1, Mengzhu Wang2, and Shi-Ting Feng1 | ||
1The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China, 2MR Scientific Marketing, Siemens Healthcare, Guangzhou, China |
||
Esophageal cancer ranks seventh in terms of incidence and sixth in mortality among all cancers. Accurate staging of esophageal cancer helps to choose appropriate therapeutic strategy. Current imaging modalities used for evaluating esophageal cancer have their own disadvantages. Therefore, we compared MRI, which is non-invasive, non-radiating and of high soft-tissue resolution, with EUS in preoperative T staging and with PET/CT in preoperative lymphatic metastases of esophageal cancer. In this study, MRI showed higher sensitivity, specificity and accuracy in T staging, while MRI and PET/CT showed similar performance in lymph nodes evaluation. |
| 2327 | Pseudo continuous arterial spin labeling perfusion MRI for predicting tumor response to neoadjuvant chemotherapy in advanced rectal cancer | |
| Yoshihiko Fukukura1, Yuichi Kumagae1, Koji Takumi1, Hiroaki Nagano1, Masanori Nakajo1, Kiyohisa Kamimura1, Takashi Iwanaga2, Yuta Akamine3, and Takashi Yoshiura1 | ||
1Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan, 2Kagoshima University Hospital, Kagoshima, Japan, 3Philips Japan, Minatoku, Japan |
||
This study focused on the feasibility of pseudo continuous arterial spin labeling (pCASL) perfusion MRI as a non-invasive tool for predicting the response of locally advanced rectal cancer treated with neoadjuvant chemotherapy in comparison with dynamic contrast-enhanced MRI and diffusion-weighted imaging. Our results showed blood flow derived from pCASL was significantly higher in responders than in non-responders. These results suggested the promise of pCASL as a non-invasive alternative to dynamic contrast-enhanced MRI for predicting the treatment response to NAC in locally advanced rectal cancer. |
| 2328 | The value of quantitative T2-mapping in distinguishing rectal tubular adenocarcinoma from non-tubular adenocarcinoma | |
| Yuhui Liu1, AIlian Liu1, Anliang Chen1, Jiazheng Wang2, Geli Hu2, Wan Dong1, Qingwei Song1, Mingxiao Wang1, Xinru Zhang1, and Xinao Wang1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, Dalian, China, 2Philips Healthcare,Beijing,China, Beijing, China |
||
This study aims to evaluate the value of quantitative T2-mapping in distinguish rectal tubular adenocarcinoma from non-tubular adenocarcinoma, which can provide rich information and help clinical decision-making. The results showed that the quantitative value of T2mapping of rectal tubular adenocarcinoma was significantly different from that of rectal non-tubular adenocarcinoma. Therefore, quantitative T2 mapping can be used as a non-invasive method for diagnosis rectal tubular adenocarcinoma and non-tubular adenocarcinoma. |
| 2329 | The measurements of APTw in Rectal Cancer: the impact of ROI methods on APTw values and interobserver variability | |
| Xiaoyao Lei1, Yaxin Niu1, Longchao Li1, Min Tang1, Yanrong Yang1, Xiaoling Zhang1, Xin Zhang1, Juan Li1, and Xiuzheng Yue2 | ||
1Shaanxi Provincial People's Hospital, Xi-an, China, 2Philips Healthcare, Beijing, China |
||
The study aimed to explore the impact of three methods of delineating region of interest (ROI) methods on the measurement of tumor amide proton transfer-weighted (APTw) values. The result showed that whole volume ROI method was reproducible and could reflect the pathophysiological condition of the tumor. |
| 2330 | Feasibility of quantitative T2 mapping imaging in the diagnosis and chemotherapy response tracking of rectal cancer | |
| Yunxing Tang1, Ailian Liu1, Jiazheng Wang2, Zhiwei Shen2, Yunsong Liu1, Yuhui Liu1, Anliang Chen1, and QingWei Song1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
||
Clinical diagnosis and real-time evaluation of chemotherapy response for rectal cancer remain challenging due to the lack of effective non-invasive examinational means. The quantitative T2 mapping technique is an effective method for MRI relaxometry in tissues. In this study, we demonstrated that T2 values were significantly higher in rectal cancer than those in the healthy rectal wall, and significantly increased after chemotherapy. Therefore, quantitative T2 mapping might be a promising non-invasive method in the diagnosis and chemotherapy response tracking of rectal cancer. |
| 2331 | The combination of T2 mapping and diffusion kurtosis imaging (DKI) enhances the diagnosis of rectal cancer with and without vascular invasion | |
| Deshuo Dong1, Ailian liu1, Jiazheng Wang2, Peng Sun2, Anliang Chen1, Wan Dong1, Yuhui Liu1, Qingwei Song1, and Renwang Pu1 | ||
1Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
||
Rectal cancer with and without vascular invasion differ greatly in terms of biological behavior, treatment, and prognosis. The T2 mapping and DKI allows non-invasive evaluation of tissue composition. In this study, we investigate the performance of the combination of T2 mapping and DKI on differentiating rectal cancer with and without vascular invasion. The results indicate a better differential diagnosis is achieved by the joint use of T2 mapping and DKI. |
| 2332 | Deep Learning Denoising to Accelerate Diffusion-Weighted Imaging of Rectal Cancer | |
| Mohaddese Mohammadi1, Elena Kayee1, Youngwook Kee1, Jennifer Golia Pernicka 2, Iva Petkovska2, and Ricardo Otazo 2 | ||
1Medical physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Memorial Sloan Kettering Cancer Center, New York, NY, United States |
||
Deep learning denoising using a convolutional neural network (DnCNN) is proposed to accelerate the acquisition of diffusion-weighted imaging (DWI) data in patients with rectal tumors. 4-fold acceleration was achieved by reducing the number of averages from 16 to 4 and applying the DnCNN to denoise the data. The DnCNN was trained using pairs of noisy (1 average) and reference (16 averages) images from 92 patients. The trained network was then tested with the data from 6 patients and the results were evaluated qualitatively by radiologists. DnCNN represents a powerful approach to improve efficiency of DWI in patients with rectal cancer. |
| 2333 | Deep Learning Segmentation of Rectal Cancer on MRI | |
| Endre Grøvik1,2, Darvin Yi3, Franziska Knuth4, Sebastian Meltzer5, Anne Negård5, and Kathrine Røe Redalen4 | ||
1Department for Diagnostic Physics, Oslo University Hospital, Oslo, Norway, 2Faculty of Health Sciences, University of South-Eastern Norway, Drammen, Norway, 3University of Illinois at Chicago, Chicago, IL, United States, 4Norwegian University of Science and Technology, Trondheim, Norway, 5Akershus University Hospital, Lørenskog, Norway |
||
Treatment of rectal cancer often requires repeated identification of the tumor volume by means of manual delineation by expert radiologists or oncologists. This is a tedious and time-consuming task, particularly with the growing use of multi-sequence 3D imaging. In this work, we have implemented a deep neural network for automatic detection and segmentation of rectal cancer. Our model demonstrates high detection and segmentation performance, equivalent to that of an expert reader, thus illustrating the potential use of deep learning-based segmentation in a clinically relevant setting. |
| 2334 | The effects of different manual segmentation on High-Resolution T2WI Based-Radiomics in the Preoperative T Staging of Rectal Cancer | |
| Haidi LU1, Fu Shen1, Yuwei Xia2, and Jianping Lu1 | ||
1Changhai Hospital, Shanghai, China, 2Huiying Medical Technology Co., Ltd., Beijing, China |
||
Manual delineation of volume of interest (VOI) is widely used in current radiomics analysis, suffering from high variability. The purpose of our study was to investigate the effects of delineation of VOIs on radiomics analysis for the preoperative T staging based on high-resolution T2WI. The result demonstrated that differences in delineation of VOIs affected radiomics analysis, the minimum contour method has better stability in extracting features and the maximum contour method has better diagnostic efficiency in patients with rectal cancer. |
| 2335 | The Value of Multiparametric Diffusion-Weighted Imaging in the Preoperative T Staging of Rectal Cancer | |
| Fu Shen1 and Shaotinng Zhang1 | ||
1Changhai Hospital, Shanghai, China |
||
This study aimed to explore the value of MP-DWI in the preoperative T staging of rectal cancer. |
| 2336 | AI Methods for Predicting Sensitivity of Total Neoadjuvant Treatment (TNT) in Rectal Cancer Based on Multiparameter MRI and Clinical Data | |
| Ganlu Ouyang1, Zhebin Chen2,3, Jitao Zhou1, Meng Dou2,3, Xu Luo2,3, Han Wen2,3, Yu Yao2,3, and Xin Wang1 | ||
1Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China, 2Chengdu Institute of Computer Application, Chinese Academy of Sciences, Chengdu, China, 3University of Chinese Academy of Sciences, Beijing, China |
||
This work aimed for developing a model for predicting sensitivity and response of total neoadjuvant treatment (TNT) for locally advanced rectal cancer (LARC) based on baseline magnetic resonance imaging (MRI) and clinical data by artificial intelligence method. The results showed that the models for predicting high sensitivity and pCR built with radiomics features achieved the mean area under the ROC curve (AUC) of 0.85 respectively, while the other built with deep-learning (DL) method yielded the mean AUC of 0.82 and 0.84 respectively. The models of two methods for predicting high sensitivity and pCR may be valuable in clinical practice. |
| 2337 | Multiparametric MRI of rectal cancer patients for early detection of therapeutic efficacy of neoadjuvant radio-chemotherapy | |
| Martin Buechert1 and Arnd-Oliver Schäfer2 | ||
1Medizinische Fakultät, Universität Freiburg, Freiburg, Deutschland, Radiologische Klinik, Medizinphysik, Universitätsklinikum Freiburg, Freiburg, Germany, 2Klinik für Radiologie, Klinikum St. Georg Leipzig, Leipzig, Germany |
||
Significant changes of tumor properties during and after neoadjuvant radiochemo therapy are observed in DCE- as well as in DWI-MRI. However heterogneiity of the patient cohort impede more clear results. To overcome this an increase in patient numbers may allow to gain significant results for sharper definied sub groups. This will include combining single results of DCE- and DWI.MRI data in a more integral approach to increase the predictive value. |
| 2338 | Free-breathing T1 Mapping of the Whole Liver Using GOAL-SNAP Sequence in Patients with Hilar Cholangiocarcinoma | |
| Yajie Wang1, Ming Xiao2, Canhong Xiang2, Yuewei Zhang2, Haikun Qi3, Yishi Wang4, Jiahong Dong2, and Huijun Chen1 | ||
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 2Hepato-pancreato-biliary Center, Beijing Tsinghua Changgung Hospital, School of Medicine, Tsinghua University, Beijing, China, 3School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 4Philips Healthcare, Beijing, China |
||
T1 mapping combined with MR contrast agent administration has been applied to evaluate the liver function. However, conventional liver T1 mapping techniques have some limitations, such as the need of breath-holding, limited slice coverage or the need of multiple acquisitions. In this study, a free-breathing whole liver T1 mapping technique was proposed using a single scan. Preliminary results in patients with HCCA demonstrated its great potential for T1 quantification of the liver and liver function estimation. |
| 2339 | Diagnosis of Intrahepatic Cholangiocarcinoma and Hepatocellular Carcinoma Using Diffusion-tensor Imaging | |
| Lihua Chen1, Ailian Liu1, Qingwei Song1, and Lizhi Xie2 | ||
1The First Affiliated Hospital of DaLian Medical University, DaLian , China., Dalian, China, 2GE Healthcare China, Beijing, China, Beijing, China |
||
Treatment options differ significantly between ICC and HCC; the only curative treatment option for ICC is surgical resection, whereas for HCC, liver transplantation, percutaneous ethanol injection, and radiofrequency ablation are available. So, it is very important to accurately distinguish between these two tumors before therapy is planned. The purpose of this study is to evaluate and compare the FA value of DTI and the ADC value of DWI in ICC and HCC. |
| 2340 | Radiomics analysis on SWI in hepatocellular carcinoma: exploring the correlation between histopathology and radiomics features | |
| Zhijun Geng1, Yunfei Zhang2, Chuanmiao Xie1, and Yongming Dai2 | ||
1Sun Yat-sen University Cancer Center, Guangzhou, China, 2Central Research Institute, United Imaging Healthcare, Shanghai, China |
||
Susceptibility weighted imaging (SWI) has shown tremendous clinical potential in visualizing the micro-haemorrhage, calcification, neovascularization and so forth, which serve as important micro-structural manifestations during the carcinogenesis. Radiomics is of great significance for providing valuable quantitative image markers via high throughput feature extraction. However, hardly have the radiomics been applied for extracting the quantitative markers from SWI images. This research, hence, aims to extract the diagnostic markers from the SWI images for evaluating several important prognostic markers of hepatocellular carcinoma including histopathologic grade, microvascular invasion (MVI) as well as the expression status of cytokeratin 7, cytokeratin 19 and Glypican-3. |
| 2341 | Value of intratumoral susceptibility signal intensities in quantitatively and automatically evaluating histological grade of HCC using ESWAN | |
| Dahua Cui1, Ailian Liu1, Hongkai Wang2, Mingrui Zhuang2, Ying Zhao1, and Qingwei Song1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Dalian University of Technology, Dalian, China |
||
The aim of this study was to explore the value of intratumoral susceptibility signal intensities (ITSS) in quantitatively and automatically evaluating histological grading of hepatocellular carcinoma (HCC) by using enhanced T2 star-weighted angiography (ESWAN). The results showed that quantitative ITSS providied a promising differential performance (AUC = 0.812, P< 0.0001, sensitivity of 83.33%, specificity of 66.67%) in automatically evaluating histological grading of HCC. |
| 2342 | Intravoxel incoherent motion diffusion-weighted MR imaging for preoperatively identifying CK19-positive hepatocellular carcinoma | |
| Ying Zhao1, Ailian Liu1, Wenjing Qi2, Xue Ren1, Tao Lin1, and Qingwei Song1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Department of Pathology, The First Affiliated Hospital, Dalian Medical University, Dalian, China |
||
Cytokeratin 19 (CK19) is well acknowledged as a biliary/progenitor cell marker and a marker of tumor stem cell. CK19-positive HCCs demonstrate more aggressive behaviors and poorer outcomes. This worked aimed at exploring the value of intravoxel incoherent motion (IVIM) diffusion-weighted (DW) magnetic resonance (MR) imaging in the diagnosis of CK19-positive HCC. The results showed that Slow ADC Mono and Slow ADC Bi were significantly different between the CK19-positive and CK19-negative HCC groups. The area under the curves (AUCs) of Slow ADC Mono, Slow ADC Bi, and combine (Slow ADC Mono & Slow ADC Bi) were 0.817, 0.988, and 0.992, respectively. |
| 2343 | The value of intratumoral susceptibility signal intensities in quantitatively and automatically differentiating ICC from HCC | |
| Changjun Ma1, Ailian Liu1, Dahua Cui1, Ying Zhao1, Hongkai Wang2, and Mingrui Zhuang2 | ||
1Radiology Department, The First Affiliated Hospital of Dalian Medical University, Dalian, China, Dalian,China, China, 2the School of Biomedical Engineering, Dalian University of Technology, Dalian,China, China |
||
The aim of this study was to explore the value of intratumoral susceptibility signal intensities (ITSS) in quantitatively and automatically differentiating intrahepatic cholangiocarcinoma (ICC) from hepatocellular carcinoma (HCC) using enhanced T2 star-weighted angiography (ESWAN). The results showed that quantitative ITSS could provide a promising differential performance (AUC = 0.927, sensitivity = 85%, specificity = 92.3%) in quantitatively differentiating ICC from HCC. |
| 2344 | DKI for Assessing the Therapeutic Response of TACE in Hepatocellular Carcinoma and Invasion of Peritumoral Zone | |
| Junying wang1, Weiqiang Dou2, Xiaoyi He3, and Hao Shi4 | ||
1Medical Imaging, Shandong Provincial Qianfoshan Hospital, the First Hospital Affiliated with Shandong First Medical University, Jinan, China, 2GE Healthcare, MR Research China, Bejing,, Beijing, China, 3Medical Imaging, Shandong Provincial Qianfoshan Hospital, the First Hospital Affiliated with Shandong First Medical University, Jinan, Shandong, China, 4Shandong Provincial Qianfoshan Hospital, the First Hospital Affiliated with Shandong First Medical University, Jinan, Shandong, China |
||
Diffusion kurtosis imaging (DKI) is able to describe the deviations of water molecules diffusion from Gaussian form and depict the microstructural environment precisely. Previous study applied DKI in assessing the therapeutic response of Transcatheter Arterial Chemoembolization (TACE) in Hepatocellular Carcinoma (HCC), and showed promising results. On this basis, this study further explored the clinical value of DKI in assessing liver cancer and tumoral cell invasion of peritumoral zone between HCC progressive group and pseudo-progressive group after TACE treatment, in order to provide new ideas for clinical follow-up. |
| 2345 | Synthetic Diffusion-Weighted MRI in Patients with Hepatocellular Carcinoma: Feasibility and Performance Versus the Conventional Acquired | |
| Shan Yao1, Yi Wei1, Zheng Ye1, and Bin Song1 | ||
1Department of Radiology, West China Hospital, Sichuan University, Chengdu, China |
||
Hepatocellular carcinoma (HCC) is the most common malignancy cancer and the second major contributor to cancer-related mortality worldwide. Diffusion-weighted imaging (DWI) has been widely used in HCC evaluation and showed great potential, while with some limitations like low SNRs and artifacts causing by high b values, and prolonged acquisition time. Synthetic DWI is mathematically derived from directly acquired DWI with at least two different b-values, which may tackle the limitations of conventional acquired DWI. This study aims to investigate the clinical feasibility and diagnosis performance of synthetic DWI in patients with HCC compared with conventional acquired DWI qualitatively and quantitatively. |
| 2346 | The value of IVIM and enhanced T2 star weighted angiography (ESWAN) for prediction of microvascular invasion in hepatocellular carcinoma | |
| Huanhuan Chen1, Ailian Liu1, Ying Zhao1, Qingwei Song1, Xin Li2, Yan Guo2, and Tingfan Wu2 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE Healthcare, Shanghai, China |
||
Hepatocellular carcinoma (HCC) is the most common primary liver cancer, and surgical resection has been regarded as the most effective treatment of HCC; however, the high postoperative recurrence rate leads to poor prognosis. Microvascular invasion (MVI) is a risk factor for postoperative recurrence of HCC [1]. This study aimed to investigate the value of intravoxel incoherent motion (IVIM) and enhanced T2 star weighted angiography (ESWAN) for prediction of MVI in HCC. |
| 2347 | Susceptibility weighted imaging for quantitatively evaluation of dual‑phenotype hepatocellular carcinoma | |
| Ying Zhao1, Ailian Liu1, Wenjing Qi2, Xue Ren1, Tao Lin1, and Qingwei Song1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Department of Pathology, The First Affiliated Hospital, Dalian Medical University, Dalian, China |
||
Dual-phenotype hepatocellular carcinoma (DPHCC) is associated with high rate of post-operative recurrence and low rate of survival. This worked aimed at exploring the value of susceptibility weighted imaging (SWI) quantitative parameters for diagnosis of DPHCC. The results showed that R2* provided a promising performance (AUC = 0.830, sensitivity = 85.0%, specificity = 77.3%) in quantitatively evaluating DPHCC. |
| 2348 | The valuation of MRI based on IDEAL-IQ in differential diagnosis between HCC with Negative Alpha Fetal Protein and FNH | |
| LI SHAO PENG1, DENG KE XUE1, and WANG PENG2 | ||
1Department of Radiology, The First Affiliated Hospital of USTC, Southern District of Anhui Provincial Hospital, Hefei, China, 2The First Affiliated Hospital of USTC, Southern District of Anhui Provincial Hospital, hefei, China |
||
To investigate the MRI technique based on the sequence of IDEAL-IQ (iterative decomposition of water and fat with echo asymmetry and least squares quantification sequence) in differential diagnoses between Hepatocellular Carcinoma with Negative Alpha Fetal Protein and Hepatic Focal Nodular Hyperplasia (FNH).The fat fraction and R2* value measured by IDEAL-IQ sequence are useful to distinguish HCC with Negative Alpha Fetal Protein from FNH. |
| 2349 | Simultaneous recording of the uptake and conversion of glucose and choline in tumors by deuterium MR | |
| Andor Veltien1, Sjaak van Asten1, Nia Ravichandran1, Robin de Graaf2, Henk de Feyter2, Jeannette Oosterwijk3, Egbert Oosterwijk3, and Arend Heerschap1 | ||
1Medical Imaging, Radboud UMC, Nijmegen, Netherlands, 2Radiology and biomedical imaging, Yale University, New Haven, CT, United States, 3Urology, Radboud UMC, Nijmegen, Netherlands |
||
Increased glucose and choline uptake are hallmarks of cancer. In this study we demonstrated that it is possible to follow the uptake and to image the presence of [2H9]choline in tumors after a bolus administration of this compound. In addition we demonstrated the successful performance of DMI simultaneously of [2H9]choline and of [6,6 2H2]glucose. As DMI of glucose uptake and its metabolic conversions has been shown to be feasible in patients, the simultaneous performance of choline DMI next to glucose DMI is an important complementary extension with clinical potential. |
| 2350 | Evaluation of Microvascular Invasion of Hepatocellular Carcinoma by Using R2* mapping of Chemical shift encoded MRI | |
| Ting Jiang1, Diego Hernando2, Scott B. Reeder2, and Jin Wang1 | ||
1Radiology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China, 2University of Wisconsin, Madison, WI, United States |
||
Hepatocellular carcinoma (HCC) is the third most common cause of cancer-related mortality. Microvascular invasion (MVI) of HCC is a major prognostic factor that influences treatment strategy and long-term survival, but it is difficult to identify MVI until the tumor is surgically removed and analyzed histologically. Both DCE-MRI and Chemical shift encoded (CSE) MRI can be used to evaluate of HCC in clinical practice. Using CSE-MRI, we found a high percentage of elevated peritumoral R2* on quantitative R2* maps with MVI-positive patients compared to MVI-negative patients. CSE-MRI has the potential to assess MVI of HCC preoperatively. |
| 2351 | R2* value derived from multi-echo Dixon technique can aid discrimination between benign and malignant focal liver lesions | |
| Guangzi Shi1, Hong Chen1, Weike Zeng1, Mengzhu Wang2, and Jun Shen1 | ||
1Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China, 2Department of MR Scientific Marketing, Siemens Healthineers, Guangzhou, China |
||
R2* derived from multi-echo Dixon imaging is a potential biomarker to differentiate malignant from benign FFLs. R2* value of malignant FLLs was significantly higher than that of the benign FLLs. The multi-echo Dixon sequence is easy to perform and required only a single breath-hold of 16 s to image the entire liver, which holds a good potential for clinical application. |
| 2352 | Preliminary Exploration and Analysis of MRI-based radiomics for Assessment of MSI-high metastatic colorectal cancer | |
| Fu Shen1, Xiaolu Ma1, and Fangying Chen1 | ||
1Changhai Hospital, Shanghai, China |
||
In the current study, we evaluated Imaging and genomic data for patients with Microsatellite instability high (MSI-H) metastatic colorectal carcinoma (mCRC) to determine whether Radiomics Based on MRI could be used to select the patients with MSI-H status. Using the pretreatment MRI data, we developed a radiomics model with excellent performance for individualized, noninvasive prediction of MSI-H in patients with mCRC and potentially guide treatment. |
| 2353 | Clinical value of whole-body diffusion-weighted imaging in evaluation of multiple myeloma | |
| Lei Zhang1, Bei Zhang1, and Xiuzheng Yue2 | ||
1First Hospital of Jilin University, Changchun, China, 2Philips Healthcare, Beijing, China |
||
Whole-body diffusion-weighted imaging (WB-DWI) in the evaluation of bone marrow infiltration in multiple myeloma, and it will be a helpful supplement to the evaluation of multiple myeloma. |
| 2354 | Prediction of early treatment response in patients with newly diagnosis multiple myeloma using WB-MRI: comparative study with and without anemia | |
| Huazheng Dong1, Wenyang Huang2, Xiaodong Ji3, Shuang Xia3, Zhiwei Shen4, Dehui Zou2, Wen Shen3, and Zhiyi Song1 | ||
1Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, Tianjin, China, Tianjin, China, 2State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, CAMS and PUMC, Tianjin 300020, China, Tianjin, China, 3Tianjin First Central Hospital Affiliated To Nankai University, Tianjin, China, Tianjin, China, 4Philips healthcare，Beijing， China, Beijing, China |
||
For patients with newly diagnosed multiple myeloma, red marrow reconversion caused by anemia is common,its hyperintense signal on DWI image could affect the evaluation , because it is very similar with the diffusion signal in focal lesions. We aim to evaluate the efficacy prediction of early treatment response in MM patients with and without anemia based on the tumor burden score (TBS), ADC value and signal fat fraction (sFF). We found that early treatment response of MM could be predicted in patients without anemia using TBS, ADC and sFF, anemia is a factor which must be taken into consideration in evaluation. |
| 2355 | MR Imaging of Murine Tibia for Co-Clinical Studies of Myelofibrosis | |
| Ghoncheh Amouzandeh1, Kevin A Heist1, Dariya I Malyarenko1, Youngsoon Jang1, Tanner Robison1, Christopher Bonham1, Cyrus Amirfazli1, Scott D Swanson1, Gary D Luker1, Brian D Ross1, and Thomas L Chenevert1 | ||
1Radiology, University of Michigan, Ann arbor, MI, United States |
||
This study assesses the use of non-invasive MRI to monitor evolution and treatment of Myelofibrosis (MF) in both clinical and pre-clinical settings to quantify disease progression and treatment efficacy. Based on a limited number of studies, MRI can detect changes in the bone marrow fat distribution and fibrosis caused by the progression and treatment of MF. This work seeks quantitative measures such as proton density fat fraction, magnetization transfer and diffusion weighted imaging to investigate proportions of fat, cellularity and fibrosis in bone marrow caused by MF. |
| 2356 | Using 18F-FDG PET-MR to compare and analyze the value of SUVmax and IVIM parameters in evaluating lung squamous and adenocarcinoma | |
| Pengyang Feng1, Nan Meng2, Zhun Huang1, Ting Fang2, Fangfang Fu3, Yaping Wu3, Wei Wei3, Yan Bai3, Jianmin Yuan4, Yang Yang 5, Hui Liu 6, and Meiyun Wang*1,2 | ||
1Department of Radiology, Henan University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 2Department of Radiology, Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 3Department of Radiology, Henan Provincial People’s Hospital, Zhengzhou, China, 4Central Research Institute, UIH Group, Shanghai, China, 5Central Research Institute, UIH Group, Beijing, China, 6UIH America, Inc, Houston, TX, United States |
||
PET-MR is a new multi-modal imaging system that organically integrates PET and MRI. SUVmax is the most commonly used semi-quantitative index to measure how much 18F-FDG is taken up by the lesion. Intravoxel incoherent motion (IVIM), including D, D*, f values, provide parameters for the movement of tissue water molecules and parameters for the degree of tissue perfusion. Our results show that SUVmax and IVIM have similar diagnostic performance in the diagnosis of lung squamous and adenocarcinoma. |
| 2357 | Multimodal MRI/MRS evaluation of treatment response in a patient-derived xenograft model of Ewing sarcoma | |
| Puneet Bagga1, Jeffrey Steinberg2, Walter Akers2, Matthew Scoggins1, Zoltan Patay1, Beth McCarville1, Burkhard Hoeckendorf3, Khaled Khairy3, Michael Dyer3, and Beth Stewart3 | ||
1Department of Diagnostic Imaging, St Jude Children's Research Hospital, Memphis, TN, United States, 2Center for In Vivo Imaging and Therapeutics (CIVIT), St Jude Children's Research Hospital, Memphis, TN, United States, 3Department of Developmental Neurobiology, St Jude Children's Research Hospital, Memphis, TN, United States |
||
A recent development in multi-modality treatment with poly ADP-ribose polymerase inhibitors (PARPi’s) combined with DNA damaging agents (temozolomide), is increasingly recognized as an important approach for curing or prolonging survival in patients with recurrent Ewing sarcoma (EWS). In this study, we employed multimodal quantitative imaging methods to predict treatment response in EWS. We used T2-weighted MRI, diffusion-weighted MRI, and 1H MRS in a patient derived xenograft model of EWS. We envisage that multi-parametric MR indices will be able to evaluate the treatment response and predict treatment response in the tumors. |
| 2517 | Comparison of pharmacokinetic models for assessing murine renal function by DCE-MRI | |
| Soham Mukherjee1, Mahon L Maguire1, Jack Sharkey1, Sourav Bhaduri1, Patricia Murray2, Rachel Bearon3, Bettina Wilm2, and Harish Poptani1 | ||
1Centre for Preclinical Imaging, University of Liverpool, Liverpool, United Kingdom, 2Department of Cellular and Molecular Physiology, University of Liverpool, Liverpool, United Kingdom, 3Department of Mathematical Sciences, University of Liverpool, Liverpool, United Kingdom |
||
Quantitative analysis of kidney function is essential part of monitoring disease progression. The most common parameter of evaluating kidney functioning is by measurement of glomerular filtration rate. Here, we describe that dynamic contrast enhanced magnetic resonance imaging can be used to determine the permeability parameter Ktrans, which can be used to assess renal activity. We used three different pharmacokinetic models and arterial input functions to get the Ktrans value. It was seen that the raw arterial input function used along with shutter speed model has strong correlation with findings obtained from transcutaneous GFR measurement device. |
| 2518 | Diffusion Time Dependence of Apparent Diffusion Coefficient and Intravoxel Incoherent Motion Diffusion Parameters in the Human Kidney | |
| Julia Stabinska1, Hans-Joerg Wittsack1, and Alexandra Ljimani1 | ||
1Department of Diagnostic and Interventional Radiology, Heinrich Heine University Dusseldorf, Dusseldorf, Germany |
||
Due to non-Gaussian nature of water diffusion in tissues, the measured diffusion-related parameters depend on b-values and diffusion time. In fact, our study shows that the apparent diffusion coefficient (ADC) and IVIM-related diffusion coefficient D obtained in the human kidney slightly increase with the diffusion time in the range between 20 ms and 45 ms, as opposed to ADC and D of skeletal muscle. Among all investigated diffusion parameters, the IVIM-based pseudodiffusion coefficient D* exhibits the strongest dependence on diffusion time and could potentially provide valuable information regarding the blood vessels and urine flow in the kidney. |
| 2519 | Phosphorus Magnetic Resonance Spectroscopy of Healthy Human Kidney in-situ at 3T | |
| Maysam Jafar1 and Jan Weis2 | ||
1Clinical Science, Philips Healthcare, Stockholm, Sweden, 2Department of Medical Physics, Uppsala University Hospital, Uppsala, Sweden |
||
Phosphorous (31P) spectra of healthy human kidney are invaluable in studies of kidney physiology, disease and in the evaluation of allograft viability pre and post renal transplantation. However, 31P-spectroscopy of the kidney in-situ is challenging due to the relatively large distance between the kidney and the surface coil. The aim of this study was to investigate whether it is possible to acquire 31P spectra of normal kidney in a clinically acceptable measurement time using a 3T MR scanner. We demonstrate that localized phosphorous spectroscopy of normal kidney in-situ is feasible in today’s 3T clinical MR systems. |
| 2520 | Repeatability of multi-parametric renal MRI biomarkers in healthy subjects: An iBEAt pilot study | |
| Kanishka Sharma1, Bashair Alhummiany2, David Shelley2,3, Margaret Saysell2,3, Maria-Alexandra Olaru4, Bernd Kühn4, Julie Bailey3, Kelly Wroe3, Cherry Coupland3, Michael Mansfield3, and Steven Sourbron1 | ||
1Department of Imaging, Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, 2Department of Biomedical Imaging Sciences, University of Leeds, Leeds, United Kingdom, 3Leeds Teaching Hospitals, Leeds, United Kingdom, 4Siemens Healthcare GmbH, Erlangen, Germany |
||
The iBEAt study MRI biomarker panel has been developed to determine if imaging biomarkers can improve predictions of renal function decline in diabetic kidney disease. The aim of this pilot study was to inform the approach to quality control and image processing of iBEAt data. Repeatability in 5 healthy volunteers (4 scans per subject) was analysed with a prototype image-processing pipeline. The results indicated that repeatability of renal T1, T2* and phase-contrast renal blood flow was comparable to literature, and measurement precision was sufficient to detect differences between volunteers. ASL had poor repeatability presumably from B0 inhomogeneities in labelling plane. |
| 2521 | Measurement of renal medullary perfusion using a 7-compartment model for MR Renography | |
| Anneloes de Boer1, Bashair Al Hummiany2, Kanishka Sharma3, and Steven Sourbron3 | ||
1University Medical Center Utrecht, Utrecht, Netherlands, 2University of Leeds, Leeds, United Kingdom, 3University of Sheffield, Sheffield, United Kingdom |
||
Medullary perfusion potentially is an early marker of renal damage, but cannot be measured using existing models in MR renography. In this study a novel 7-compartment, 10-parameter model is proposed and evaluated in synthetic and patient data. Robustness of an iterative fitting approach was assessed by the coefficient of variation over multiple fits, resulting in median values <2.5% both in synthetic and patient data. According to simulations, medullary perfusion was underestimated by 5.3%, but in diabetic patients medullary perfusion was relatively high (81 mL/100mL/min). Future studies will be needed to determine this model’s sensitivity to pathophysiological changes in medullary perfusion. |
| 2522 | Improved Accuracy of Ratiometric CEST pH Mapping using Two Iodinated Agents with Nonequivalent Amide Protons and a Single Low Saturation | |
| Quan Tao1, Peiwei Yi1, Zimeng Cai1, Yingjie Mei2, Ruiyuan Liu1, and Yanqiu Feng1 | ||
1School of Biomedical Engineering, Southern Medical University, Guangzhou, China, 2Philips healthcare, Guangzhou, China |
||
Various Iodinated agents were supposed to be pH sensors in kidney or tumor based on chemical exchange saturation transfer (CEST) mechanism. We compared different contrast agents (CAs) and their combination, established a ratiometric CEST pH imaging method to improve the accuracy of pH measurement in vivo, by combined the molar concentration ratio of two nonequivalent amide protons resonated at 4.3 ppm and 5.6 ppm. |
| 2523 | Effect of gravity on kidney function: evaluation using multiposture MRI | |
| Yuki Oda1, Tosiaki Miyati1, Naoki Ohno1, Seiya Nakagawa1, and Satoshi Kobayashi1 | ||
1Division of Health Sciences, Kanazawa University, Kanazawa, Japan |
||
We assessed the effect of gravity on regional kidney function in the supine and upright positions using an original MRI that can obtain functional information in any posture (multiposture MRI). We compared the mean blood flow, T2, and T2’, apparent diffusion coefficient of the kidney between the supine and upright positions. Gravity reduced the blood flow and T2 of the kidney, and these differences between postures potentially provide new diagnostic information. |
| 2524 | BOLD MRI for evaluating intra-renal oxygenation level during acute saline loading | |
| El-Sayed H Ibrahim1, Abdul Parchur1, Srividya Kidambi1, Allen Cowley1, and Mingyu Liang1 | ||
1Medical College of Wisconsin, Milwaukee, WI, United States |
||
Enhanced sensitivity of blood pressure to salt intake is observed in many hypertensive patients. The kidney plays a key role in the development of hypertension including salt-sensitive hypertension. In this study, we used BOLD MRI to examine the temporal response of renal medullary and cortical oxygenation levels during saline infusion in a small set of young subjects. The results showed that during the period of fast saline infusion, tissue oxygenation levels remained almost constant in the cortex but showed 10%-15% average reduction in the medulla. The responses, however, varied between subjects, which may reflect differences in salt-sensitive versus salt-insensitive individuals. |
| 2525 | Severity of Tubular Atrophy and Fibrosis in Acute Kidney Injury Revealed by Multi-parametric MRI | |
| Feng Wang1,2, Tadashi Otsuka3, Zhongliang Zu1,2, Mark P de Caestecker3, Raymond C Harris3, Takamune Takahashi3, and John C Gore1,2 | ||
1Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 2Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 3Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, TN, United States |
||
Acute kidney injury (AKI) is a predictor of mortality, often resulting in incomplete recovery, giving rise to chronic kidney disease (CKD). AKI is defined in clinical practice as a rapid decline in kidney function that occurs over a 7-day period or less, but concerns about the risks of renal biopsies in patients with AKI have limited our ability to identify diagnostic features that are predictive of CKD progression. Multi-parametric MRI, including quantitative spin-lock imaging, relaxometry, and magnetization transfer, can be used to identify features of experimental AKI that are predictive of CKD progression without need for renal biopsy. |
| 2526 | Detection of fibrosis in patients with moderate renal impairment with multiparametric MRI | |
| Pete Thelwall1,2, Jehill Parikh1, Benjamin Pippard1, Caroline Wroe3, Rob Janiczek4, Steven Sourbron5, and Neil Sheerin1 | ||
1Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom, 2Centre for In Vivo Imaging, Newcastle University, Newcastle upon Tyne, United Kingdom, 3South Tees Hospitals NHS Foundation Trust, Middlesborough, United Kingdom, 4GlaxoSmithKline, Philadelphia, PA, United States, 5University of Sheffield, Sheffield, United Kingdom |
||
A multiparametric renal MRI scan protocol was employed to characterise the impact of renal fibrosis on tissue relaxation properties. The study recruited patients with moderate renal dysfunction (CKD stage 3, eGFR between 30 and 60 ml/min/1.73 m2) with biopsy-proven fibrosis and age-matched healthy volunteers. Statistically significant differences in kidney cortical native T1 and T2 were observed between patients and controls, ascribed to tissue microstructural changes associated with the mild fibrosis observed in the patient group. |
| 2527 | Renal lipid content based on PDFF Imaging is a new potential biomarker for assessing early renal injury in patients with metabolic syndrome | |
| Shisi Li1, Yanjun Chen1, Yingjie Mei2, Xianfu Mo1, Jialing Chen1, Yongqiang Li3, and Xiaodong Zhang1 | ||
1Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China, 2Philips Healthcare, Guangzhou, China, 3Department of Nephrology, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics· Guangdong Province), Guangzhou, China |
||
Renal fat content has been known as correlated with renal injury in type 2 diabetes. However, it is not clear the change of renal fat content in patients with metabolic syndrome (MS), which is a more popular disease threatened human health. In the present study, we assess the feasibility and reproducibility of renal fat fraction (FF) using PDFF imaging with MR mDixon-Quant sequence. And we aim to investigate the changes of renal FF in patients with MS, whose estimated glomerular filtration rate (eGFR) grade were G1(normal or elevated) and G2(mild decline) described in KDIGO (Kidney Disease: Improving Global Outcomes). In addition, we evaluate the correlation of renal FF and eGFR and the major factors of eGFR. The results show that with eGFR decreasing, renal FF in patients with MS-G2 group increased significantly compared with control and MS-G1 group. And the renal FF is an important affection factor of eGFR with a significant negative correlation. The noninvasive quantitative Dixon-based MRI may be a new biomarker for the evaluation of early renal impairment. |
| 2528 | Explore the performance of FF and R* value measured by mDIXON-quant for heathy controls, mild and acute CKD patients. | |
| Haoyang Jiang1, Ailian Liu2, Ye Ju2, Jiazheng Wang3, Changyu Du1, Lingli Qi1, Xinmiao Bu2, Wenjun Hu2, Nan Wang2, and Liangjie Lin3 | ||
1Dalian Medical University, Dalian, China, 2The First Affiliated Hospital Of Dalian Medical University, Dalian, China, 3Philips Healthcare, Beijing, China |
||
Early diagnosis and treatment of chronic kidney disease (CKD) can significantly improve the prognosis and reduce the occurrence of end-stage renal disease. This study aims to explore the performance of fat-fraction and R* value measured by mDIXON-quant for differential diagnosis between heathy controls, mild and acute CKD patients. The renal cortex R2* values of CKD patients (mild or severe) were significantly higher than those of heathy controls. The fat fraction in renal cortex and medulla of acute CKD patients was significantly higher than those mild CKD patients and healthy controls. |
| 2529 | Value of quantitative susceptibility mapping for detecting renal fibrosis of early diabetic nephropathy in type 2 diabetes | |
| Jiayuan Shan1, Jinggang Zhang1, Jie Chen1, Wei Xing1, and Jilei Zhang2 | ||
1Radiology, Third Affiliated Hospital of Soochow University, Changzhou, China, 2Philips Healthcare, Shanghai, China |
||
The purpose was to explore if quantitative susceptibility mapping (QSM) can assess renal fibrosis about early diabetic nephropathy (DN) in type 2 diabetes (T2D). 32 patients with early DN in T2D were included in the study to evaluate the potential clinical relevance of QSM. We found that susceptibility values of the medulla were statistically significant among different fibrosis. Susceptibility value of the medulla was highly correlated with estimated glomerular filtration rate (eGFR). QSM could serve as a quantitative biomarker to assess the renal fibrosis and monitor the treatment in patients with DN. |
| 2530 | Multiparametric MR imaging in diabetic nephropathy: New insights to evaluate early diabetic nephropathy noninvasively | |
| Akira Yamamoto1, Tsutomu Tamada2, Yu Ueda3, Takeshi Fukunaga2, and Atsushi Higaki2 | ||
1Radiology, Kawasaki Medical School, Kurashiki, Japan, 2Kawasaki Medical School, Kurashiki, Japan, 3Phillips Japan, Tokyo, Japan |
||
The purpose of this study was to identify the changes in multiparametric magnetic resonance imaging (MRI) findings in early diabetic nephropathy. Measurements were made of the renal cortex and renal medulla T2 values, T2* values and R2* values, as well as optimal TI, inverted TI value and cortico-medullary difference on optimal TI in SSFP with ssIR pulse with multi TI. Also, renal cortical thickness and renal length were measured, representing morphological changes. Significant differences were seen between the healthy and early diabetic nephropathy (grade1 and grade2) in T2 values of cortex and T2* values of medulla. This study suggests the possibility that MRI using the values of T2 of cortex and T2* of medulla can be used to evaluate early diabetic nephropathy non-invasively and in a short period of time. |
| 2531 | Quantitative T1 and R2* mapping in the evaluation of renal function in chronic kidney disease | |
| Jiaxin Yan1, Weiqiang Dou2, Hongmei Gu1, Xinquan Wang1, Weiyin Vivian Liu2, Huijian Lu1, Ying Zhou1, Xuejun Zhou1, and LI Yuan1 | ||
1Affiliated Hospital of Nantong University, Nantong, China, 2GE Healthcare, MR Research China, Beijing, China |
||
In this study, we explore the quantitative T1 and R2* mapping in theclassification on renal function in chronic kidney disease (CKD) . 146 CKD patients and 26 healthy volunteers（HVs）underwent T1 mapping and renal BOLD-MRI for R2* mapping. All CKD cases were divided into two groups according to the estimated glomerular filtration (eGFR)：mild renal impairment group and moderate to severe group.Clincal information were collected.Compared with HVs,the T1 and R2* values of renal cortex were significantly higher and were well correlated with renal function.Therefore,T1 mapping and BOLD-MRI derived R2* mapping might provide an effective method in assessing renal function. |
| 2532 | Evaluation of renal oxygenation and hemodynamics in patients with chronic kidney disease by BOLD-MRI and intrarenal Doppler ultrasonography | |
| Jing Yang 1, Shuohui Yang 2, Zheng He3, Mengxiao Liu4, and Caixia Fu5 | ||
1Nephrology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China, 2Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China, 3Ultrasonography, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China, 4MR Scientific Marketing, Siemens Healthcare, Shanghai, China, 5MR Applications Development, Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China |
||
The purpose of this study was to observe the alteration of renal oxygenation and renal hemodynamics in CKD patients using blood oxygenation level-dependent (BOLD) magnetic resonance imaging (MRI) and intrarenal Doppler ultrasonography (IDU). The result showed that renal oxygenation and blood flow velocities declined as the CKD stage progressed. The BOLD-MRI and IDU techniques were able to dynamically evaluate intrarenal oxygenation and hemodynamics changes, respectively, in CKD patients. Combination these two techniques can detect the abnormalities associated with CKD stage sensitively. |
| 2533 | Renal hypoxia estimated by O2-inhalation T2* BOLD MRI: association with renal dysfunction and left ventricular remodeling in cardiomyopathy | |
| Michinobu Nagao1, Kiyoe Ando1, Yasuhiro Goto1, Isao Shiina1, Kazuo Kodaira1, Masami Yoneyama2, Takashi Namiki2, Atsushi Yamamoto1, Eri Watanabe1, Akiko Sakai1, Risako Nakao1, and Shuji Sakai1 | ||
1Tokyo Women's Medical University, Tokyo, Japan, 2Philips Japan, Tokyo, Japan |
||
O2-inhalation T2*-BOLD MRI is a non-invasive imaging techniqueto evaluate renal oxygenation. This analysis revealed that renal hypoxia is strongly associated with renal dysfunction, and that early left ventricular remodeling in cardiomyopathy leads to renal hypoxia. This renal hypoxia image helps clarify chronic cardiorenal interaction and the effects of drugs for cardiorenal disease. |
| 2534 | The value of intravoxel incoherent motion diffusion-weighted imaging and T1-Mapping in the evaluation of renal transplantation function | |
| Dejuan Shan1,2, Xianquan Cui3, Xiangtao Lin1,2, Ruiyuan Diao2, Peng Zhao2, Mengxiao Liu4, Shuai Zhang2, Xiaoli Li2, Nan Lin2, Zhongyu Hou2, and Bing Liu5 | ||
1Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China, Jinan, China, 2Department of Radiology,Shandong Provincial Hospital Affiliated to Shandong First Medical Uiversity, Jinan, China, 3Qilu Hospital of Shandong University, Jinan, China, 4MR Scientific Marketing, Diagnostic Imaging, Siemens Healthcare Ltd., Shanghai 201318, China, Shanghai, China, 5Department of Radiology, China-Japan Friendship Hospital, Beijing, China, Beijing, China |
||
The objective of this study was to evaluate renal function of renal transplantation using intravoxel incoherent movement（IVIM） and T1-Mapping. The results showed that the T1-Mapping was significantly superior than IVIM in distinguishing between the groups with good graft function (Group A), impaired graft function (Group B) and normal kidney (Control Group). |
| 2535 | Native T1 mapping in assessment of kidney fibrosis in patients with chronic glomerulonephritis | |
| Zhaoyu Shi1, Fangfang Shang1, Xinquan Wang1, Hongmei Gu1, Xiaoyan Liu1, Weiqiang Dou2, Weiyin Vivian Liu2, Yuan Zhang1, Jianhua Wu1, and Li Yuan1 | ||
1Affiliated Hospital of Nantong University, Nantong, China, 2GE Healthcare, MR Research China, Beijing, China |
||
119 patients with chronic glomerulonephritis (CGN) and 19 healthy controls (HCs) were recruited in this study. Among these patients, 43 patients had kidney biopsy. Patients underwent a native renal T1 map examination within 1 week before kidney biopsy. Clinical information and biopsy pathological scores were collected. Compared to HCs, the T1 values of renal cortex in CGN patients were significantly higher and well correlated with renal function, chronic kidney disease (CKD) stage and renal fibrosis. Therefore, native T1 mapping has demonstrated good diagnostic performance in non-invasive detection of CGN fibrosis. |
| 2536 | Evaluation of renal function in healthy volunteers and patients with chronic kidney disease by using APT weighted imaging and R2* mapping | |
| Ye Ju1, Ailian Liu1, Jiazheng Wang2, Wenjun Hu1, Changyu Du3, Lingli Qi3, Haoyang Jiang3, Xinmiao Bu1, Nan Wang1, and Peng Sun2 | ||
1First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China, 3Dalian Medical University, Dalian, China |
||
Amide proton transfer (APT) and mDixon - Quant techniques have been applied in clinical work, However, there was no study on the degree of renal damage in chronic kidney disease (CKD). We discussed the value of APT combined with R2* to assess the degree of renal damage. |
| 2537 | Navigator-triggered kidney vessel architecture imaging | |
| Ke Zhang1, Simon M.F. Triphan1, Felix T. Kurz2, Christian H. Ziener3, Heinz-Peter Schlemmer 3, Hans-Ulrich Kauczor1, and Oliver Sedlaczek1,3 | ||
1Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany, 2Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany, 3Department of Radiology, German Cancer Research Center, Heidelberg, Germany |
||
Vessel architecture imaging (VAI) MRI is a a technique that noninvasively measures parameters who describe the structural heterogeneity of brain microvasculature. To apply VAI in kidney disease respiratory motion artifacts need to be compensated for. In this study, a navigator along the inferior-superior direction was inserted as training data at the beginning of the measurement and interleaved during imaging acquisition. Our preliminary results suggest that respiratory motion can be corrected accurately. |
| 2538 | Evaluation of Image Quality of Renal Artery based on Balanced Turbo Field Echo Sequence using Compressed Sensing with Acceleration Factors | |
| Haonan Zhang1, Qingwei Song1, Jiazheng Wang2, Zhiwei Shen2, Renwang Pu1, Nan Zhang1, and Ailian Liu1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2PHILIPS——Philips Healthcare, beijing, China |
||
Renal artery imaging based on Balanced turbo field echo (B-TFE) sequence need a relatively long scan time and may be disturbed by motion artifacts, such as respiratory movement and other physiological factors. This study aimed to explore the accelerated renal artery imaging based on B-TFE using the compressed-SENSE (CS-SENSE) compared with a parallel imaging technique (SENSE), and to determine an optimal acceleration factor of CS-SENSE to achieved both of the reduction of scan time and a favorable image quality. |
| 2539 | Improving the robustness of pseudo-continuous arterial spin labeling for renal perfusion imaging | |
| Limin Zhou1, Yiming Wang1, and Ananth Madhuranthakam1,2 | ||
1Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 2Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States |
||
Pseudo-continuous arterial spin labeling (pCASL) has been the recommended ASL method for brain, and one of the two methods for kidneys. However, the reliability of labeling efficiency of pCASL is a major concern, especially in renal imaging due to the increased B0 inhomogeneities. In this study, we implemented and evaluated the optimized unbalanced pCASL gradient scheme generated by numerical simulation with both perfusion phantom and 4 healthy volunteers. The results showed that this optimized unbalanced pCASL gradient scheme was more robust to off-resonance than the corresponding balanced pCASL gradient scheme. |
| 2540 | Ex-Vivo Renal Vascular Dominant Region Mapping using High Resolution 3D-T2w-MRI and Artery-Selective Contrast Injections in Porcine Kidneys | |
| Nathan Sennesael1,2, Pieter R.E. De Backer3,4,5, Charlotte Debbaut4,6, Karel Decaestecker3,5, Pieter L.J. De Visschere2,7, Marijn M. Speeckaert8,9, Saar Vermijs4,5, Geert Villeirs2,7, and Pim Pullens1,2,7 | ||
1GIfMI, Ghent University, Ghent, Belgium, 2Diagnostic Sciences, Ghent University, Ghent, Belgium, 3Urology, Ghent University Hospital, Ghent, Belgium, 4IBiTech-bioMMeda, Ghent University, Ghent, Belgium, 5Human Structure and Repair, Ghent University, Ghent, Belgium, 6Cancer Research Institute Ghent (CRIG), Ghent University, Ghent, Belgium, 7Radiology, Ghent University Hospital, Ghent, Belgium, 8Nephrology, Ghent University Hospital, Ghent, Belgium, 9Internal diseases and Paediatrics, Ghent University, Ghent, Belgium |
||
During partial nephrectomy (PN), a trade-off between clamping arteries to assure optimal conditions for surgery and maximizing oxygenation to tissue unaffected by the tumor, has to be made. Knowledge of the anatomy of the renal vascular dominant regions, can help optimize this trade-off and thus has the potential to significantly improve PN interventions. We found that high resolution 3D-T2w-MRI scans in combination with artery-selective contrast injections is an effective alternative to ex-vivo kidney casting as it allows for 3D mapping of the renal vascular dominant regions and shows potential for segmentation of the renal vascular tree. |
| 2541 | T2 mapping in the dynamic evaluation of renal ischemia-reperfusion injury: an animal study | |
| Jing Chen1, Jinggang Zhang1, Weiqiang Dou2, and Jie Chen1 | ||
1The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China, 2GE Healthcare, MR Research China, Beijing, Beijing, China |
||
This study explored the relationship between the T2 value of the outer medulla and the pathological characteristics of renal ischemia reperfusion injury (IRI) in an animal model. T2 values of the outer medulla increased at 1 hour after IRI and decreased from 1 hour to 48 hours gradually. T2 values of the outer medulla were significantly correlated with pathological score of renal injury, especially with tubular epithelial edema. Based on the findings, T2 mapping might reflect the dynamic changes of renal IRI and be used to assess the renal IRI in the early stage. |
| 2542 | The value of DKI in assessing the pathologic microstructural changes in the early stages of renal cold ischemia-reperfusion injuries | |
| Yizhong Yuan1, Jipan Xu1, Yan Ren2, Lihua Chen2, Jinxia Zhu3, Robert Grimm4, and Wen Shen2 | ||
1First Central Hospital Institute, Tianjin Medical University, Tianjin, China, 2Department of Radiology, Tianjin First Center Hospital, Tianjin, China, 3MR Collaboration, Siemens Healthcare, Beijing, China, 4MR Application development, Siemens Healthcare GmbH, Erlangen, Germany |
||
This study investigated diffusion kurtosis imaging (DKI) values in evaluating the microstructural changes in the early stages of renal cold ischemia-reperfusion injuries (CIRIs). The results showed that both the mean diffusivity (MD) values and mean kurtosis (MK) values were negatively correlated with the pathologic scores, and the MK values showed more detailed microstructural changes than the MD values. |
| 2543 | Values of R2’ mapping on evaluation of renal ischemia-reperfusion injury：an experimental study | |
| Qin Chen1, JingGang Zhang1, WeiQiang Dou2, Jie Chen1, and Wei Xing1 | ||
1The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China, 2GE Healthcare, MR Research, Beijing, China |
||
Ischemia reperfusion injury (IRI) is the main factor that delays the recovery of the renal function and leads to the failure of treatment. To our knowledge, R2’ mapping as a quantitative MRI method may be helpful for assessment of IRI in the early stage. This study compared the R2’ values of outer medulla at different time points in a rabbit model and found significant differences between IRI group and control group. Meanwhile, significant correlation was also found between R2’ values and histopathological features. R2’ mapping can evaluate the dynamic changes of the outer medulla longitudinally. |
| 2544 | Intravoxel Incoherent Motion Imaging of Renal Cold Ischemia Reperfusion Injury in Rats | |
| Yan Ren1, Lihua Chen1, Yizhong Yuan2, Jipan Xu2, Jinxia Zhu3, Robert Grimm4, and Wen Shen1 | ||
1Tianjin First Center Hospital, Tianjin, China, 2First Central Hospital Institute, Tianjin Medical University, Tianjin, China, 3MR collaborations, Siemens Healthcare Ltd., Beijing, China, 4Siemens Healthcare GmbH, Erlangen, Germany |
||
The study evaluated the use of Intravoxel Incoherent Motion (IVIM) imaging to detect dynamic changes in renal microvascular characteristics during cold ischemia-reperfusion injuries (CIRIs). As previous studies have investigated warm ischemia-reperfusion injuries, we aimed to assess MR diffusion imaging in a renal CIRI Sprague Dawley rat model. Results showed that IVIM imaging is a sensitive tool to monitor changes in renal functional characteristics. |
| 2545 | Mono-exponential, bi-exponential, and kurtosis diffusion-weighted imaging for renal cold ischemia-reperfusion injury in rats | |
| Lihua Chen1, Yan Ren1, Yizhong Yuan2, Jipan Xu2, Jinxia Zhu3, Xuening Zhang4, Robert Grimm5, and Wen Shen1 | ||
1Tianjin First Center Hospital, Tianjin, China, 2First Central Hospital Institute, Tianjin Medical University, Tianjin, China, 3Siemens Healthcare Ltd., Beijing, China, 4Second Hospital of Tianjin Medical University, Tianjin, China, 5Siemens Healthcare GmbH, Erlangen, Germany |
||
Renal dysfunction evaluations after renal cold ischemia-reperfusion injury (CIRI) has important clinical significance for prolonging donor kidney preservation times and improving the survival rates of transplanted kidneys. Diffusion-weighted imaging (DWI) has been accepted for microstructure change evaluations of renal function. In this study, a CIRI rat model was established and compared with a sham-operation group. The value of mono-exponential, bi-exponential, and kurtosis DWI models was compared to evaluate renal changes at different time points after CIRI surgery. The results showed that the bi-exponential and kurtosis models were more sensitive for detecting renal changes compared with the mono-exponential model. |
| 2546 | Monitoring Subclinical Renal Injury Progression by Saline-responsive CEST and Quantitative MT Imaging | |
| Soo Hyun Shin1, Michael F. Wendland2, and Moriel H. Vandsburger1 | ||
1Department of Bioengineering, University of California, Berkeley, Berkeley, CA, United States, 2Berkeley Preclinical Imaging Core (BPIC), University of California, Berkeley, Berkeley, CA, United States |
||
Standardized blood tests of kidney function lack adequate sensitivity to capture chronic progression of renal injuries. We examined whether saline-responsive urea CEST and quantitative MT imaging can be used to detect mild renal injury development. Upon renal injury progression, the urea CEST contrast decreased in the cortex, and the saline-induced fold change of contrast decreased in the inner medulla and papilla. qMT imaging showed the decrease of semi-solid macromolecule pool in the cortex. These results indicate that the saline-responsive CEST and qMT imaging have a potential to detect subclinical renal injury development. |
| 2547 | MRI enhancement of TPP-TEMPOL during reduces kidney damage | |
| Quan Tao1, Peiwei Yi1, Zimeng Cai1, Yingjie Mei2, Ruiyuan Liu1, and Yanqiu Feng1 | ||
1School of Biomedical Engineering, Southern Medical University, Guangzhou, China, 2Philips healthcare, Guangzhou, China |
||
In this study, we synthesis a mitochondria-targeted contrast agent named triphenylphosphine-2,2,6,6-tetramethylpiperidine-1-oxyl (TPP-TEMPOL) to protect the kidney from the damage induced by rhabdomyolysis. At the same time, measured the T1 changes by MRI. |
| 2548 | Comparison of mono-exponential and three non-Gaussian diffusion models in characterizing low- and high-grade clear cell renal cell carcinoma | |
| Bowen Shi1, Ke Xue2, Yili Yin1, Qing Xu1, Binbin Shi1, Jing Ye1, and Yongming Dai2 | ||
1Northern Jiangsu Province Hospital, Yangzhou, China, 2Shanghai United Imaging Healthcare, Shanghai, China |
||
Accurately assessing the tumor grades of ccRCC patients has a significant impact on the selection of the optimal surgical intervention. This study evaluated the performance of FROC, DK, bi- and mono-exponential diffusion models in differentiating low- from high-grade ccRCCs. A spectrum of diffusion metrics from the four models, reflecting cellularity, vascularity and microstructure complexity, were compared between these two groups. As a result, the diffusion parameters from the FROC model outperformed the other three models in characterizing ccRCC grades. This implied the FROC diffusion model held the potential in renal tumor diagnosis, grading, treatment decision and monitoring for treatment response. |
| 2549 | The predictive value of contrast-enhancement MR evaluating the efficacy of preoperative targeted drugs for renal carcinoma with tumor thrombus | |
| Pei Xinlong1 and Yuan Huishu2 | ||
1Radiology Department, Peking University Third Hospital, Beijing, China, 2Peking University Third Hospital, Beijing, China |
||
The target drug is designed to shrink renal carcinoma and tumor thrombi. MR is promising about predicting the efficacy of targeted drugs before operation. We attempts to summarize and analyze this aspect. |
| 2550 | Diffusion Tensor Imaging in the Differential Diagnosis of Clear Cell Renal Cell Carcinoma invasion pelvis and Transitional Cell Carcinoma | |
| Jinghong Liu1, Mingzhe Xu2, Ailian Liu1, Qingwei Song1, Lihua Chen1, Ru Cao1, Weilin Li1, and Juan Ruan1 | ||
1Radiology, First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Henan Cancer Hospital, Henan, China |
||
Centripetal infiltration into the renal parenchyma often accompanies with the growth of infiltrative RTCC. |
| 2551 | Differential diagnosis of clear renal cell carcinoma and renal angiomyolipoma without visible fat by IDEAL-IQ sequence | |
| Xinmiao Bu1, Ailian Liu1, Jinghong Liu1, Qingwei Song1, Juan Ruan2, Weilin Li2, and Ru Cao2 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Dalian Medical University, Dalian, China |
||
IDEAL-IQ is a new scanning sequence based on the principle of three-point Dixon asymmetric echo technology. The images of water phase, lipid phase, in-phase, reverse phase, fat fraction and R2* relaxation images can be generated at the same time in one scan to realize the quantitative measurement of fat fraction. The R2* value of the ccRCC group was greater than that of the RAMLwvf group, and the FF value was lower than RAMLwvf group, the difference was statistically significant (P <0.05). The AUC value of R2* value and FF value for identifying ccRCC with RAMLwvf groups are 0.893 and 0.905. |
| 2552 | Effect of metabolic syndrome on anatomy and function of the lower urinary tract | |
| Cody Johnson1, Alex Tannenbaum1, Samuel Koebe1, Lucille Anzia1, Lu Mao2, Matthew Grimes3, Diego Hernando1, Alejandro Roldán-Alzate1,4,5, and Shane Wells1 | ||
1Radiology, University of Wisconsin-Madison, MADISON, WI, United States, 2Biostatics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States, 3Urology, University of Wisconsin-Madison, Madison, WI, United States, 4Biomedical Engineering, University of Wisconsin-Madison, MADISON, WI, United States, 5Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, United States |
||
Metabolic syndrome (MetS) contributes to lower urinary tract symptoms (LUTS). However, non-invasive methods for studying this association are limited. This study investigated the relationship of MetS, LUTS, anatomy, and function of the bladder and prostate in men and women. Manual segmentation with 3D rendering of the bladder and prostate were performed from MRI. We found that MetS is associated with increased bladder wall volume and postvoid residual in men but not women, suggesting that the effect of MetS on the prostate contributes to anatomic and functional changes of the bladder in men. |
| 2553 | In Vivo Assessment Of Metabolic Abnormality In Alport Syndrome Using Hyperpolarized [1-13C]Pyruvate MR Spectroscopic Imaging | |
| Nguyen Trong Nguyen1, Ilwoo Park2,3, Ngoc Luu Do2, Tien Anh Nguyen2, Sang Heon Suh 4, Eun Hui Bae4, and Sang Soo Shin2 | ||
1Department of Biomedical Science, Chonnam National University, Gwangju, Korea, Republic of, 2Department of Radiology, Chonnam National University Medical School and Hospital, Gwangju, Korea, Republic of, 3Department of Artificial Intelligence Convergence, Chonnam National University, Gwangju, Korea, Republic of, 4Department of Internal Medicine, Chonnam National University Hospital, Gwangju, Korea, Republic of |
||
Alport Syndrome (AS) is an inherited kidney disease with progressive kidney failure. We investigate the potential of hyperpolarized 13C MRI to be used as an non-invasive technique for detecting early abnormal changes in renal metabolism. Hyperpolarized [1-13C]pyruvate imaging was applied to AS and wild-type mice at 4- and 7-week-old. Normalized Lactate in AS model was significantly lower at 7-week compared to 4-week. This abnormal renal metabolism in AS mice was consistent with PEPCK analysis, which showed increased expression level as the disease progressed. We demonstrated the feasibility of this technique for assessing early renal function in mouse model of AS. |
| 2554 | Intravoxel Incoherent Motion Diffusion-weighted MRI in Kidneys of Acute Leukemia and Its Clinical Significance: A Pilot Study | |
| Jianting Li1, Jinliang Niu1, and Rong Zheng2 | ||
1The second hospital of Shanxi medical university, Taiyuan, China, 2The first hospital of Shanxi medical university, Taiyuan, China |
||
36% of high-grade hematological malignancies patients suffer acute kidney injury (KI), including leukemia. Autopsy data suggested that kidney involvement represent a significant proportion of patients with acute leukemia (AL), ranging from 50% to 100%. Therefore, it is crucial to diagnose KI early and accurately. Clinical symptoms and renal biopsy are limited in diagnosing KI. Intravoxel incoherent motion MRI (IVIM) can reflect the diffusion and perfusion of kindeys. It is reported that some parameters are sensitive to renal pathological processes of focal and diffuse lesions. Thus, IVIM may offer an opportunity to identify early changes in renal function in AL. |
| 2555 | Can Diffusion Weighted MRI Predict the Response Prior to Neoadjuvant Chemotherapy in Patients with Muscular Invasive Bladder Cancer? | |
| Xinxin Zhang1 and Yan Chen1 | ||
1Department of Imaging Diagnosis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital，Chinese Academy of Medical Sciences and Peking Union Medical College, BeiJing, China |
||
Neoadjuvant chemotherapy(NAC) becomes the standard treatment for muscular invasive bladder cancer (MIBC), some patients do not respond to NAC. So the purpose of this study was to evaluate the potential of diffusion-weighted (DW) magnetic resonance imaging (MRI) with an ADC map in the prediction of response to NAC in patients with MIBC. In our study, all the sixty-two MIBC patients have underwent DW-MRI before and after NAC. After NAC, patients were classified into responders or non-responders by the Response Evaluation Criteria in Solid Tumors. However, there was no statistically significant difference in ADC between responders and non-responders before NAC. |
| 2753 | The relationship between preperitoneal fat and cardiometabolic risk factors | |
| Qin-He Zhang1, Li-Zhi Xie2, and Ai-Lian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2MR Research, Beijing, China |
||
This study assessed the correlation between preperitoneal fat and cardiometabolic risk factors. The results showed that preperitoneal FF and area were associated with specific risk factors, and the correlation coefficient varied by sex. This plays an important role in our further understanding about the association between ectopic fat deposition and cardiometabolic risk factors. |
| 2754 | Comparison of multi-echo Dixon andmulti-echo MRS sequences to quantify hepatic iron overload in rabbits with or without fatty liver | |
| Zhao Fan yu1, Chen Yidi1, Zhang Huiting2, Stephan Kannengiesser3, and Long Liling1 | ||
1Radiology Department, The First Affiliated Hospital of Guangxi Medical University, Nanning, China, 2Siemens Healthcare Ltd, MR Scientific Marketing, Wuhan, China, 3Siemens Healthcare GmbH, MR Application Development, Erlangen, Germany |
||
Feasibility and accuracy of confounder-corrected 3D multi-echo-Dixon (ME-Dixon) imaging and T2-corrected multi-echo single-voxel (HISTO) spectroscopy for the quantification of liver iron content at 3T MRI were investigated in rabbits with or without fatty liver, compared with conventional 2D multi-gradient-echo (2D GRE) imaging, using histopathology as a reference. The results showed that compared with HISTO (R2_water) method, the multi-echo Dixon (R2*) method was found to be superior for liver iron and fat evaluations. AUC calculations showed that both the ME-Dixon and 2D GRE values had high accuracy for diagnosing liver iron overload in the rabbit model for LICs up to 7mg/g. |
| 2755 | Portal Venous Hemodynamics with an abdominal 4D-flow MR imaging in patients with and without chronic liver disease | |
| Atsushi Higaki1, Tsutomu Tamada1, Yu Ueda2, Akihiko Kanki3, and Akira Yamamoto3 | ||
1Radiology, Kawasaki Medical School, Okayama, Japan, 2Phillips Japan, Tokyo, Japan, 3Kawasaki Medical School, Okayama, Japan |
||
For the early diagnosis of portal hypertension, the relationship between portal venous hemodynamic changes and degree of liver fibrosis was evaluated using abdominal 4D-flow MR imaging. Flow quantification was performed in the middle part of the portal trunk. The forward flow was significantly correlated with Fib-4 index. In the comparison between the three groups divided by the degree of fibrosis, only the average velocity was significantly different. As the liver fibrosis progressed, the forward flow of the portal vein increased. The average velocity of the portal vein may be useful for early diagnosis of liver fibrosis. |
| 2756 | Correlation between liver function indicators in patients with cirrhosis and quantitative parameters of MRI---4D flow and T1/T2 relaxation time | |
| Wenjun Zhang1, Nan Wang1, Ailian Liu1, Jiazheng Wang2, Qingwei Song1, Renwang Pu1, and Lihua Chen1 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, Dalian, China, 2Philips Healthcare, Dalian, China |
||
Liver function information plays an important role in the decision-making of treatment strategy in liver cirrhosis and in the prevention of liver failure after treatment. In recent years, more and more evidence of Gd-EOB-DTPA MRI T1mapping can be used to the liver and partial liver function. As cirrhosis often leads to changes in liver-related blood flow, we demonstrate the feasibility of 4D Flow MRI on quantitative assessment of the disease. |
| 2757 | A quantitative perfusion value is a good discriminator of liver fibrosis level in patients with chronic hepatitis B | |
| Lesheng Huang1, Weiyin Vivian Liu 2, Tianzhu Liu 1, Hongyi Li1, Jinghua Jiang1, Wanchun Zhang1, Jiahui Tang1, Meng Hu1, Dong Zhang1, Guangjun Tian1, Jun Chen1, Tao He1, Kaili Cai1, and Yifeng Wang1 | ||
1Guangdong Hospital of Traditional Chinese Medicine, Zhuhai, China, 2MR Research, GE Healthcare, Beijing, China 100176, Beijing, China |
||
IVIM is reckoned as a valuable tool for non-invasive detection and evaluation of liver fibrosis staging. However, only more small b values used in one scan improve the diagnosis of liver fibrosis. In clinics, the different fibrosis stages overlap in the same inflammation level. However, both physiological expressions were different. To distinguish fibrosis from inflammation on images may help clinical diagnosis and provide more effective treatments for patients. Our study demonstrated that Dfast indeed had excellent discrimination ability of early liver fibrosis S1 and S2 in CHB patients with the same inflammation grade. |
| 2758 | Regional variation of liver surface nodularity scores for evaluating hepatic fibrosis on a single axial MR image | |
| Tae-Hoon Kim1, Youe Ree Kim2,3, Chang-Won Jeong1, Chungsub Lee1, SiHyeong Noh1, Ji Eon Kim1, Young Hwan Lee2,3, and Kwon-Ha Yoon2,3 | ||
1Medical Convergence Research Center, Wonkwang University, Iksan, Korea, Republic of, 2Radiology, Wonkwang University School of Medicine, Iksan, Korea, Republic of, 3Radiology, Wonkwang University Hospital, Iksan, Korea, Republic of |
||
The assessment of liver surface nodularity (LSN) is emerging importance to diagnose hepatic fibrotic changes in clinical. The imaging techniques MRI and CT are gold-standard methods to estimate LSN scores. However, in clinical practice, the manual LSN assessment of whole liver is time-consuming. Therefore, it is powerful for assessing LSN score from a single slice image instead of whole liver images. This study compared the regional variation of LSN score for assessing fibrotic changes on a single liver MR image in chronic liver disease (CLD). |
| 2759 | Diffusion-weighted MRI-based Virtual Elastography in liver: Enhancement prospect through diffusion image registration | |
| Valentin H. Prevost1, Julien Rouyer2, Wolter de Graaf3, and Bruno Triaire1 | ||
1Canon Medical Systems Corporation, Tochigi, Japan, 2Department of Research & Innovation, Olea Medical, La Ciotat, France, 3Canon Medical Systems Europe, Zoetermeer, Netherlands |
||
Diffusion-weighted based virtual elastography is a new approach proposing for liver elasticity assessment without the use of additional equipment. As abdominal imaging is challenging in a clinical context, this work investigated the potential of a respiratory triggered implementation with a dedicated image registration pipeline. Results analysis concluded to a signal-to-noise ratio increase, an organ delineation improvement, an overall signal dispersion reduction in liver and equal results for registered images using only two averages compared to six averages without registration. This dedicated postprocessing appears to enhance the liver elasticity assessment accuracy, with scan times that are feasible in a clinical context. |
| 2760 | Voxel-wise hepatocellular function prediction using population-based probability density function | |
| Monchai Phonlakrai1, Behzad Asadi2, Neda Gholizadeh3, Kate Skehan2, Liam Hilleary2, Jameen Arms4, Saadallah Ramadan5,6, John Simpson2,3, Jonathan Goodwin2,3, Jarad Martin2,7, Yuvnik Trada2, Swetha Sridharan2,7, and Peter Greer2,3 | ||
1School of Health Sciences, The University of Newcastle, Newcastle, Australia, 2Radiation Oncology, Calvary Mater Newcastle Hospital, Newcastle, Australia, 3School of Mathematical and Physical Sciences, The University of Newcastle, Newcastle, Australia, 4Diagnostic Radiology, Calvary Mater Newcastle Hospital, Newcastle, Australia, 5Faculty of Health and Medicine, The University of Newcastle, Newcastle, Australia, 6HMRI Imaging Centre, John Hunter Hospital, Newcastle, Australia, 7School of Medicine and Public Health, The University of Newcastle, Newcastle, Australia |
||
Dynamic gadoxetate contrast-enhanced MRI yields spatial hepatocellular function through hepatic extraction fraction map. This allows well-functioning hepatocyte sparing in radiotherapy to avoid radiation-induced liver toxicity. However, the major challenge of using this parametric map in a clinical practice for normal function sparing is the lack of standard method to determine liver function at a voxel level within the same patient. As such, population-based kernel density function was proposed to deal with this problem to predict voxel-based probability of liver function. This novel approach also allows derivation of functional probability map that could be used for radiation beam guidance in function-based radiation treatment planning. |
| 2761 | T1 and T2 mapping for Monitoring Liver Regeneration in Normal and Cirrhotic Liver Rats after Partial Hepatectomy | |
| Qiu caixin1, Xie shuangshuang1, Sun yajie1, Zhu jinxia2, Xu yahui1, and Shen wen1 | ||
1Radiology Department, Tianjin First Center Hospital, TIANJIN, China, 2MR Collaboration, Siemens Healthcare Ltd., BEIJING, China |
||
In this study, we used T1 and T2 mapping to quantify the microscopic changes of residual liver in normal and cirrhotic liver rats after partial hepatectomy (PH). The results showed that liver regeneration activity was more active in the rats with 70% PH than 30% PH, consistent with changes in T1 and T2 values. Furthermore, regeneration in cirrhotic liver was slower than in normal liver. However, in the process of regeneration, liver cirrhosis may be reversed to different degrees. The results suggested that T1 and T2 mapping can be used to assess liver regeneration after PH. |
| 2762 | Diagnostic value of radiomics analysis based on multimodal MRI for advanced liver fibrosis in patients with hepatitis B | |
| Shuangshuang Lu1, Jian Lu1, Aina Huang1, Xueqin Zhang1, Tao Zhang1, and Weibo Chen2 | ||
1Nantong University Affiliated Nantong Third People's Hospital, Nantong, China, 2Philips Healthcare Shanghai, China, Shanghai, China |
||
The purpose of this study was to develop and validate an optimal radiomics-based model for diagnosis of advanced liver fibrosis. Firstly, multimodal MRI was performed before and 20 minutes after Gd-EOB-DTPA administration. Secondly, the clinical diagnosis model, fusion radiomics signature and radiomics nomogram model were established in the training cohort. Finally, the diagnostic value of three models was confirmed in the validation cohort. |
| 2763 | Multiparametric magnetic resonance imaging of liver regeneration in rabbits with warm ischemia-reperfusion injury | |
| Zhengzheng Tao1,2, Zhiqiang Chu3, Jiabing Jiang1,2, Qing He1,2, Jinxia Zhu4, Robert Grimm5, and Qian Ji2 | ||
1First Central Clinical College of Tianjin Medical University, Tianjin, China, 2Department of Radiology, Tianjin First Central Hospital, Tianjin, China, 3Department of Transplantation, Tianjin First Central Hospital, Tianjin, China, 4MR Collaboration, Siemens Healthcare, Beijing, China, 5Siemens Healthcare GmbH, Erlangen, Germany |
||
Multiparametric magnetic resonance imaging (MRI) provides various noninvasive and quantitative diagnostic information. This study assessed the value of multiparametric MRI in liver regeneration after warm ischemic-reperfusion injury (WIRI) in a rabbit model with different warm ischemia and reperfusion times. The results showed that the tissue diffusivity (Dslow), pseudo-diffusion coefficient (Dfast), perfusion fraction (PF), apparent diffusion coefficient (ADC), fractional anisotropy (FA), and R2* maps reflected changes in hepatic microcirculation perfusion, micro-dispersion, and oxygenation of hepatic WIRI after partial hepatectomy. Liver regeneration capacities were enhanced when warm ischemia times were 30 minutes or less; however, they were diminished after 30 minutes. |
| 2764 | Acute and chronic rifampicin effect on gadoxetate uptake in rats using gadoxetate DCE-MRI | |
| Mikael Montelius1, Steven Sourbron2, Nicola Melillo3, Daniel Scotcher3, Aleksandra Galetin3, Gunnar Schuetz4, Claudia Green4, Edvin Johansson1, John C. Waterton3,5, and Paul Hockings1 | ||
1Antaros Medical, BioVenture Hub, Mölndal, Sweden, 2University of Sheffield, Sheffield, United Kingdom, 3University of Manchester, MANCHESTER, United Kingdom, 4Bayer Pharma AG, BERLIN, Germany, 5Bioxydyn, Manchester Science Park, MANCHESTER, United Kingdom |
||
Drug Induced Liver Injury causes liver failure and impedes drug development, and Drug-Drug Interactions affect the pharmacokinetics of drug metabolism and excretion. Non-invasive biomarkers are needed to monitor these processes. We used gadoxetate DCE-MRI to measure clinical and high dose rifampicin effects on hepatocellular uptake in acute and chronic dosing regimens in rats. High dose rifampicin caused significantly reduced gadoxetate uptake acutely, whereas uptake rates returned to baseline values after chronic dosing. Similar but non-significant effects were seen at clinical dose levels. We demonstrated the potential of gadoxetate DCE-MRI to non-invasively assess drug-induced inhibition of hepatocellular transport and DDIs. |
| 2765 | Distinction of early fibrosis stages in patients with chronic hepatitis B using intra voxel incoherent motion MR imaging | |
| Hongyi Li1, Weiyin Vivian Liu2, Lesheng Huang1, Tianzhu Liu1, Jinghua Jiang1, Wanchun Zhang1, Jiahui Tang1, Tao He1, and Jun Chen1 | ||
1Guangdong Hospital of Traditional Chinese Medicine, Zhuhai, China, 2MR Research, GE Healthcare, Beijing, China, Beijing, China |
||
The purpose was to evaluate the feasibility of IVIM variables in distinction of patients with early liver fibrosis stages(F1-2). Eight volunteers and 21 patients suspected chronic hepatitis B with fibrosis stage F1 or F2 were recruited. Correlations between all IVIM and DWI variables and ALT, AST, GGT values were analyzed. Two-segment mono-exponential model derived Dslow,TM was statistically different between volunteers and F1 patients(p< 0.05) with AUC of 0.740. The correlation between bi-exponential model derived Dslow,B and GGT was fair(r =0.513, p < 0.05). |
| 2766 | ROI-based intravoxel incoherent motion (IVIM) shows good diagnostic performance on fibrosis severity of patients with chronic hepatitis B | |
| Jiang jinghua1, Weiyin Vivian LIu2, Huang Lesheng1, Liu Tianzhu1, Li Hongyi 1, Chen Jun 1, Zhang Wanchun 1, He Tao 1, and Tang Jiahui 1 | ||
1Department of Radiology, Guangdong Hospital of Traditional Chinese Medicine, Zhuhai,519000, China, zhuhai, China, 2MR Reaearch,GE healthcare, Beijing,China, China |
||
IVIM, as a noninvasive tool, has good diagnostic performance in the detection and staging grading of liver fibrosis |
| 2767 | Whole-Liver Histogram Analysis of Diffusion Kurtosis Imaging Metrics in Predicting Acute Rejection After Orthotopic Liver Transplantation | |
| Chang Li1, Mengzhu Wang2, and Canhui Sun1 | ||
1The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China, 2MR Scientific Marketing, Siemens Healthcare, Guangzhou, China |
||
Acute cellular rejection (ACR) occurs in 10-40% patients following liver transplantation (LT). Diffusion kurtosis imaging (DKI) provides more information about microstructure than standard monoexponential diffusion method. We analyzed the whole-liver volume histogram metrics of D map, K map, and ADC map with comparison those of the ACR and non-ACR group. Statistical analysis shows that most metrics of D maps were significantly lower in the ACR group than those in the non-ACR group, while most metrics of K maps were significantly higher in the ACR group those in the non-ACR group. None of the metrics of ADC maps were significantly different. |
| 2768 | Colloid carcinoma arising from IPMN of pancreas: imaging features and differentiation with ductal adenocarcinoma from IPMN | |
| Xu Fang1, Yun Bian1, Kai Cao1, Chengwei Shao1, Li Wang1, and Jianping Lu1 | ||
1Changhai Hospital of Shanghai, Shanghai, China |
||
N/A |
| 2769 | Value of diffusion tensor imaging quantitative parameter in differentiating cystic pancreatic cancer from solid pseudopapillary neoplasm | |
| Xinqi Wang1, Yi Wang2, Ailian Liu3, and Qinhe Zhang3 | ||
1School of Medical Imaging, Dalian Medical University, Dalian, China, 2Department of Radiology, Dalian Friendship Hospital, Dalian, China, 3Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China |
||
It is difficult to differentiate the pancreatic ductail adenocinama(PDAC) from solidpseudopapillary tumer of the pancreas(SPTP),due to their similar imaging characteristics,especially in pancreatic cancer sac change occurs.Diffusion tensor imaging (DTI) is a kind of magnetic resonance technology which can image the diffusion of water molecules in living tissues. There was significant difference in DTI quantitative parameters Fractional Aniso (FA) ,Volume ratio Aniso (VRA), Isotropic image(Iso) and T2-weightial trace(T2-T) between PDAC and SPTP. Therefore, DWI derivative sequences may be an effective method to identify PDAC and SPTP. |
| 2770 | Hepatobiliary phase hypointensity improves the diagnostic performance of version 2018 LI⁃RADS on hepatocellular carcinoma | |
| Bin Lin1, WenHai Dai1, JiaYan Chen1, YangDong Zeng1, ZhiPeng Zhou1, Long Qian2, and Weiyin Vivian Liu2 | ||
1Department of Radiology,Affiliated Hospital of Guilin Medical University, Guilin, China, 2MR Research, GE Healthcare, Beijing, China |
||
Hypointensity in the hepatobiliary phase is an important ancillary feature in the diagnosis of liver malignancies in the version 2018 of LI-RADS. In this study, Hypointensity in the hepatobiliary phase was used as the major features to explore the effect of hepatobiliary hypointensity on the diagnosis performance of LI-RADS in small hepatocellular carcinoma (sHCC). Our results indicated that the sensitivity of diagnosing sHCC can be significantly improved without affecting the specificity of diagnosing sHCC when Hypointensity in the hepatobiliary phase was used as the major features for classification of LR-3,LR-4. |
| 2771 | Effect of Injection Rates in Free-Breathing Gadoxetic Acid-Enhanced MRI with K-Space Weighted Image Contrast Reconstruction. | |
| RYUJI SHIMADA1, Keitaro Sofue2, Yuichiro Somiya1, Tomohiro Noda1, Shintaro Horii1, Yoshiko Ueno2, Naoki Yoshida1, Wakiko Tani1, Yu Ueda3, 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, 3MR Clinical Science, Philips Japan, Tokyo, Japan |
||
We prospectively evaluated the effect of injection rates on TIC analysis in free-breathing gadoxetic acid-enhanced MRI using radial sampling with KWIC reconstruction with different injection rate of 1, 2, and 3 mL/s in 48 patients. Time intensity curve analysis was performed and compared among the three injection rate groups. Time to peak in abdominal aorta was significantly shorter with higher injection rates, and the other parameters regarding portal vein, inferior vena cava, and liver parenchyma were not affected by the injection rates. Higher injection rate is recommended for the better discrimination on arterial input data. |
| 2772 | Assessment of hepatic signal change in free breathing continuous multiphasic dynamic EOB-MRI with compressed sensing and self-gating technique | |
| Masaya Tanabe1, Masahiro Tanabe1, and Katsuyoshi Ito1 | ||
1Yamaguchi University, Ube City, Japan |
||
In the analysis of the hepatic contrast enhancement parameters based on continuous data of the signal changes over time obtained by free-breathing continuous multiphasic dynamic EOB-MR imaging using compressed sensing and self-gating technique, contrast enhancement ratio (CER) in the portal phase and 5min early hepatocyte phase had significant correlation with hepatic contrast enhancement effects in the 20min hepatobiliary phases and showed significant difference between sufficient and insufficient hepatobiliary phases enhancement groups, suggesting that sufficient 20min hepatobiliary phases enhancement may be estimated by the CER in the portal phase and 5min early hepatocyte phase. |
| 2773 | The application value of CAIPIRINHA-VIBE sequence with non-rigid 3D-registration motion correction in liver | |
| Junjiao Hu1, Weijun Situ1, and Huiting Zhang2 | ||
1Department of Radiology, the Second Xiangya Hospital of Central South University, Changsha, China, 2MR Scientific Marketing, Siemens Healthcare Ltd., Wuhan, China |
||
This prospective study aimed to compare the image quality of T1w-VIBE sequence using generalized autocalibrating partially parallel acquisitions (GRPPA-VIBE) and controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA-VIBE) and the spatial position consistency of CAIPIRINHA with/without non-rigid 3D-registration motion correction (MOCO) in liver MRI. The results showed that the CAIPIRINHA had better image quality than the GRPPA with respect to respiratory motion artifact suppression, liver edge sharpness and intrahepatic vascular sharpness, and the spatial position consistency of the liver using CAIPIRINHA with MOCO was significantly better than that of images without MOCO. |
| 2774 | Utility of compressed sensing VIBE for hepatobiliary phase of Gd-EOB-DTPA-enhanced MRI: comparison with conventional VIBE | |
| Hirokazu Otsuka1, Yoshihiko Fukukura2, Takashi Iwanaga1, Yuichi Kumagae2, Yasumasa Saigo1, Hiroshi Imai3, and Takashi Yoshiura2 | ||
1Kagoshima University Hospital, Kagoshima, Japan, 2Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan, 3Siemens Healthcare K.K., Tokyo, Japan |
||
This study focused on the feasibility of volumetric-interpolated breath-hold examination (VIBE) using compressed sensing (CS) acceleration (CS-VIBE) for the hepatobiliary phase of Gd-EOB-DTPA-enhanced MRI in comparison with conventional VIBE. Our results showed a significantly higher signal-to-noise ratio and contrast-to-noise ratio (CNR) in CS-VIBE than in conventional VIBE. CS-VIBE showed a significantly higher CNR than conventional VIBE, even when decreasing a slice thickness from 1.5 mm to 1.1 mm of CS-VIBE. These results suggested CS-VIBE could replace conventional VIBE with superior CNR and spatial resolution. |
| 2775 | A Rapid Simultaneously 3D T1/T2* Quantitative Imaging (TXI) in Body within 3 Breath-holds | |
| Minxiong Zhou1, Zhongshuai Zhang2, Huiting Zhang2, Guang Yang3, Jinrong Qu4, and Xu Yan2 | ||
1Shanghai University of Medicine & Health Sciences, Shanghai, China, 2MR Scientific Marketing, Siemens Healthcare, Shanghai, China, 33. Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 4Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China |
||
Simultaneously multi-parameter quantification is recently a hot research topic for MRI. A series of techniques are available, such as MR fingerprinting, MAGIC and STAGE. This study proposed a rapid and high-quality T1/T2* quantification method, called TXI. The results showed that it can generate high SNR T1 and R2* maps with less motion artifacts, which is superior to the conventional T1 and R2* mapping method. The T1 map is significantly improved with higher measurement consistency among different liver regions than conventional method. |
| 2776 | Free-Breathing, 3D Phase Sensitive Inversion Recovery MRI with Stack-of-Stars SGRE and Locally Low Rank Reconstruction | |
| Yavuz Muslu1,2, Ty A. Cashen3, Sagar Mandava4, 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, Madison, 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 |
||
Gadoxetic acid (GA)-enhanced MRI is an important tool for the detection of liver metastases. Through GA dose optimization and novel pulse sequence strategies, small lesions are often resolved using only high resolution GA-enhanced hepatobiliary phase T1w-MRI. However, such small lesions are often occult in T2w, diffusion weighted imaging (DWI) and dynamic contrast enhanced (DCE) T1w-MRI, which hinders the ability of MRI to characterize these lesions. In this work, we propose the development of a phase sensitive inversion recovery (PSIR) T1w-MRI in combination with 3D radial stack-of-stars imaging for detection and characterization of small focal liver lesions. |
| 2777 | Feasibility of amide proton transfer imaging on distinction of the vertebral body and paravertebral muscles in patients with CKD | |
| Yan Xiong1, Weiyin Vivian Liu2, Tongxiang He1, Donglin Wen 1, Fan He1, and Xiaoming Li3 | ||
1Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2MR Research, GE Healthcare, Beijing, China, 31Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China |
||
Amide proton transfer-weighted (APTw) imaging is a molecular MRI technique that generates image contrast based predominantly on the amide protons in mobile cellular proteins and peptides that are endogenous in tissue. Due to decreased vascular perfusion and increased glycolytic metabolism, tissue hypoxia is usually accompanied by acidosis; however, osteoclasts show significant functional enhancement in hypoxia and acidosis. The present study demonstrates that APT had higher diagnostic performance on identifying the differences of both bone and muscles between patients with different levels of CKD. It may have potential in distinction patients with CKD in accompanied with Mineral bone disease (MBD). |
| 2778 | Using deep domain adaptation method to improve liver segmentation performance in Limited MRI images | |
| Meng Dou1,2, Ailian Liu3, Yu Yao1,2, ZheBin Chen1,2, Han Wen1,2, Xu Luo1,2, and Ying Zhao3 | ||
1Chengdu Institute of Computer Application, Chinese Academy of Sciences, Chengdu, China, 2University of Chinese Academy of Sciences, Beijing, China, 3Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China |
||
In clinical practice, it is too expensive to collect large-scale labeled Magnetic Resonance Imaging liver scans which constrains the segmentation performance. However, we noted that plenty of labeled Computed Tomography datasets aimed at liver have been published. Inspired by this, we proposed a deep domain adaptation method which can exploit the published CT datasets to improve the segmentation performance on MRI images. Our experiments showed that the liver segmentation performance is boosted on limited labeled MRI images (20 cases). Lastly, our method achieved competitive performance on both modality images. This work will be benefit to computer-aided diagnosis and treatment planning. |
| 2779 | Improved image quality of liver diffusion-weighted imaging by combining compressed sensing and sensitivity encoding | |
| Naoki Ohno1, Satoshi Kobayashi1, Tosiaki Miyati1, Yu Ueda2, Masami Yoneyama2, and Toshifumi Gabata1 | ||
1Kanazawa University, Kanazawa, Japan, 2Philips Japan, Tokyo, Japan |
||
Although sensitivity encoding (SENSE) technique is commonly used to reduce distortion in diffusion-weighted imaging (DWI), highly accelerated SENSE results in significantly increased noise, leading to systematic errors to the quantification of apparent diffusion coefficient. In this study, we proposed a novel method using compressed sensing combined with a highly accelerated sensitivity encoding (CS-SENSE) to reduce both the distortion and noise in liver DWI. The CS-SENSE demonstrated the higher SNR and reduced geometric distortion compared with conventional SENSE reconstruction. Liver DWI with the proposed method can improve the image quality with better lesion conspicuity. |
| 2780 | 3D breath-hold magnetic resonance cholangiography using compressed sensing acceleration in living donor liver transplantation donors | |
| shuangshuang xie1, yajie sun1, caixin qiu1, jinxia zhu2, Elisabeth Weiland3, Bernd Kühn3, and wen shen1 | ||
1Tianjin First Central Hospital, Tianjin, China, 2MR Collaboration, Siemens Healthcare Ltd., Beijing, China, 3MR Application Development, Siemens Healthcare GmbH, Erlangen, Germany |
||
This study investigated the feasibility of optimized breath-hold compressed-sensing accelerated magnetic resonance cholangiography (BH-CS-MRCP) in visualizing the biliary system in living donor liver transplantation (LDLT) donors. Conventional navigator-triggered (NT) MRCP was performed preoperatively, and optimized BH-CS-MRCP was performed both preoperatively and one month after surgery. The optimized BH-CS-MRCP protocol showed similar motion or blurring artifacts, overall image quality, background suppression, and biliary duct depiction compared with conventional NT-MRCP protocols. This suggests that optimized BH-CS-MRCP with a short acquisition time (17 s) can be used for preoperative and postoperative evaluation of biliary ducts in LDLT donors. |
| 2781 | Free-breathing MRCP using motion compensated 3D Cartesian turbo spin-echo imaging | |
| Tom Bruijnen1,2, Tim Schakel1, Jan Lagendijk1, Liesbeth Geerts3, Johannes Peeters3, Niels Blanken4, Wouter Veldhuis4, and Cornelis van den Berg1,2 | ||
1Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands, 2Computational Imaging Group for MRI diagnostics and therapy, Centre for Image Science, Utrecht, Netherlands, 3BIU MR, Philips Healthcare, Best, Netherlands, 4Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands |
||
Magnetic resonance cholangiopancreatography (MRCP) is crucial for the diagnosis of biliary/pancreatic duct disease. However, conventional respiratory triggered (RT-MRCP) scans require long acquisition times and ultimately fail in patients with irregular breathing. In this work we propose a free-breathing motion corrected MRCP scan (MOCO-MRCP) based on a rewinded Cartesian Acquisition with Spiral Profile ordering (rCASPR). MOCO-MRCP eliminates idle time associated with respiratory triggering, thereby increasing the robustness to motion artefacts while reducing the overall scan time compared to RT-MRCP. We show preliminary results of MOCO-MRCP in three patients with suspected biliary/pancreatic duct disease. |
| 2782 | The Effect of the Scanner's Frequency Variation on Estimating the Fatty Acid Composition in Adipose Tissue | |
| Mehran Baboli1, Pippa Storey2, Terlika Pandit Sood2, Justin Fogarty2, Melanie Moccaldi2, Alana Lewin2, Linda Moy2, and Sungheon Gene Kim1 | ||
1Radiology, Weill Cornell Medicine, New York, NY, United States, 2Radiology, NYU Langone Health, New York, NY, United States |
||
We assessed the influence of frequency variation on measurements of fatty acid composition in adipose tissue. A 3D bilateral gradient spectroscopic imaging sequence with a simultaneous dual-slab excitation followed by 128 monopolar echoes was used. The sequence included a short train of 12 navigator echoes without phase encoding at the beginning of each TR period to correct frequency variations due to hardware heating and patient respiration. The proposed method was tested in oil phantoms and ten postmenopausal women. Phase correction reduced measurement error in the phantom and spatial variation in estimates of fatty acid composition in vivo. |
| 2783 | High temporal-resolution dynamic MRI for the assessment of brown adipose tissue during mild-cold exposure in young healthy adults. | |
| Aashley S.D. Sardjoe Mishre1, Maaike E. Straat2, Borja M. Martinez-Tellez2, Oleh Dzyubachyk3, Mariette R. Boon2, Patrick C.N. Rensen2, Andrew G. Webb1, and Hermien E. Kan1 | ||
1Department of Radiology, C.J. Gorter Center for High Field MRI, Leiden University Medical Center (LUMC), Leiden, Netherlands, 2Department of Medicine, Division of Endocrinology and Einthoven Laboratory for Experimental Vascular Medicine, LUMC, Leiden, Netherlands, 3Department of Radiology, Division of Image Processing (LKEB) and Department of Cell and Chemical Biology, Electron Microscopy section, LUMC, Leiden, Netherlands |
||
Brown adipose tissue (BAT) is considered as a potential therapeutic target against cardiometabolic diseases. Activated BAT combusts fatty acids leading to a reduction in fat fraction (FF). Both cold exposure and pharmacological stimuli can activate BAT, but the short-term dynamics of BAT activation are still unknown. To assess supraclavicular BAT (scBAT) FF dynamics during cold-exposure, we developed a 1-minute time resolution MRI protocol using breath-holds and co-registration to minimize motion-artefacts, and tested the protocol in five individuals. Co-registration resulted in low variation (<0.5%) and dynamic FF changes during cooling differed between subjects, possibly due to variable responses to thermoneutral conditions. |
| 2784 | Application of MEGA-sLASER for detection of lipid composition in the human liver | |
| Pandichelvam Veeraiah1, Lucas Lindeboom1,2, Kim Brouwers1, Joachim E Wildberger1, and Vera B Schrauwen-Hinderling1,2 | ||
1Department of Radiology and Nuclear Medicine, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, Netherlands, 2Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, Netherlands |
||
1H-MRS has been widely used to measure total intrahepatic lipid content, but measuring lipid composition with specifically differentiating saturated, mono- and poly-unsaturated fatty acids in the liver, is challenging. At clinical field strength (3T), the allylic peak is overlapping with the alpha-carbonyl methylene resonance, which we recently addressed with a sophisticated fitting routine. However, this approach is difficult when shimming is suboptimal or in volunteers with low liver fat content (1-2%). Here, we evaluated the in vivo feasibility of J-difference editing, using MEGA-sLASER in the liver, to separate allylic from the alpha-carbonyl resonance for estimation of hepatic lipid composition. |
| 2785 | Qualitative Assessment of Hepatic Fat and Iron as a Screening Method | |
| Kathan A Amin1, Achille Mileto1, and Orpheus Kolokythas1 | ||
1Radiology, University of Washington, Seattle, WA, United States |
||
Qualitative assessment of hepatic fat and iron from three radiologists were compared to the quantitative measurements from the mDIXON-quant sequences. There was a robust correlation providing support for the ability to use qualitative assessment to screen patients on routine abdominal MRI exams and recommend further evaluation with specialized quantitative sequences. |
| 2786 | Increased Hepatic FDG Uptake in Patients with Metabolic Associated Fatty Liver Disease on PET/MR | |
| Zhaoting Meng1, Gang Feng1, Mingxiang Sun1, Liling Peng1, Min Zhu1, Mu Lin2, and Xin Gao1 | ||
1Shanghai Universal Medical Imaging Diagnostic Center, Shanghai, China, 2MR Collaboration, Diagnostic Imaging, Siemens Healthineers Ltd., Shanghai, China |
||
Globally, nonalcoholic associated fatty liver (NAFLD) is the predominant chronic liver disease, and it correlates to metabolic syndrome and type 2 diabetes, leading to cardiac and cerebral arteriosclerosis. In 2020, metabolic associated fatty liver disease (MAFLD) was newly defined to clarify the pathogenic mechanisms of this disease and to better guide clinical treatment. We hypothesized that with MAFLD, previously contradictory imaging results could be better explained. Liver MRS and FDG PET imaging were conducted simultaneously on an integrated PET/MR platform, which improved data accuracy. The study also analyzed whether the liver could be used as a reference tissue for PET imaging. |
| 2787 | Optimization of ROI sampling strategies for proton density fat-fraction MRI of hepatic steatosis before liver transplantation in ex vivo | |
| Gen Chen1, Weiyin Vivian Liu2, Hao Tang1, Lifen Zhou1, Daoyu Hu1, and Zhen Li1 | ||
1Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2MR Research, GE Healthcare, Beijing, China, Beijing, China |
||
This study aims to determine sampling strategy (SS) with the fewest regions of interest (ROIs) that could diagnose hepatic steatosis (HS) as reliably as the 9-ROI strategy before liver transplantation in ex vivo. All strategies with ≥5 ROIs had an intraclass correlation coefficients(ICC) ≥ 0.995 and limit of agreement (|LOA|)≤ 1.5%. The average proton density fat-fraction (PDFF) was moderately correlated with the histological diagnosis. The 5-ROI SS obtains similar PDFF results as the 9-ROI strategy before liver transplantation in ex vivo. After further verification, this method may become an available standard to assess HS before liver transplantation in ex vivo. |
| 2788
|
Computer-aided diagnosis of human breast lesion in T1 perfusion MRI using curvelet based features. | |
| Snekha Thakran1,2 | ||
1University of Pennsylvania, Philadelphia, PA, United States, 2, Indian Institute of Technology Delhi, New Delhi, India, Delhi, India |
||
Curvelet transform is used as a multi-scale level decomposition to represent images. It was hypothesized that curvelet based texture features extraction can improve accuracy of tumor classification. The objective of this study was to differentiate the breast tumor using curvelet based features extraction followed by principal component analysis(PCA) for feature reduction and support vector machine(SVM) classifier. The study included T1 perfusion MRI data of 40 patients with breast cancer. The curvelet based texture feature using PCA with SVM classifier provided high average accuracy(0.93±0.04) in classification of malignant vs. benign and average accuracy (0.86±0.06) in characterization of high- vs. low-grade. |
| 2789 | A Video Block Matching 3D Transform-domain Collaborative Filtering Approach for High Spatiotemporal Resolution DCE-MRI | |
| Zhongbiao Xu1, Zhenguo Yuan2, Yaohui Wang3, Junying Cheng4, Rongli Zhang5, Ling Xia6, Yanqiu Feng7, Feng Liu8, and Zhifeng Chen7 | ||
1Guangdong Provincial People's Hospital, guangzhou, China, 2shandong medical imaging research institute ，shandong provincial hospital ，afflliated shangdong first medical uinversity, jinan, China, 3Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, China, 4First Affiliated Hospital of Zhengzhou University, zhengzhou, China, 5Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hongkong, China, 6Department of Biomedical Engineering, Zhejiang University, HangZhou, China, 7Southern Medical Southern, guangzhou, China, 8School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia |
||
High spatiotemporal resolution DCE-MRI has great clinical value in disease diagnosis and treatment. In this study, we propose to use a video block matching 3-D filtering approach to improve high spatiotemporal resolution DCE-MRI. Both phantom and in vivo experiments were performed in this work. The phantom experiment indicated that the proposed approach outperforms iGRASP and GRASP-Pro methods with lower reconstruction errors, especially in cases involving super high reduction factors. In vivo experiments draw similar conclusion. This new technique can provide a potential solution for real-time imaging and image guided radiation therapy. |
| 2986 | FAST 3D vs. Compressed Sensing vs. Parallel Imaging: Image Quality Improvement on MRCP with and without Deep Learning Reconstruction | |
| Takahiro Matsuyama1, Yoshiharu Ohno1,2, Kaori Yamamoto3, Kazuhiro Murayama2, Masato Ikedo3, Masao Yui3, Akiyoshi Iwase4, Takashi Fukuba4, Satomu Hanamatsu1, Yuki Obama1, Takahiro Ueda1, Hirotaka Ikeda1, 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, 4Radiology, Fujita Health University Hospital, Toyoake, Japan |
||
We hypothesize that the newly developed FAST 3D can reduce examination time as well as Compressed SPEEDER and obtain MRCP without any degradation of image quality as compared with conventional parallel imaging technique in patients with hepatobiliary and pancreatic diseases. In addition, deep learning reconstruction (i.e.AiCE) has a potential to improve image quality of MRCP obtained by different protocols in routine clinical practice. The purpose of this study was to compare the capability of image quality improvement on MRCP with and without AiCE among FAST 3D, Compressed SPEEDER and conventional parallel imaging (SPEEDER) in patients with hepatobiliary and pancreatic diseases. |
| 2987 | The value of radiomics-based model on contrast-enhanced MRI for predicting microvascular invasion in HCC before Partial Hepatectomy | |
| Tao Lin1, Ailian Liu1, Lihua Chen1, Qingwei Song1, Renwang Pu1, Ying Zhao1, Xue Ren1, and yan guo2 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE Healthcare, Beijing, China |
||
Hepatocellular carcinoma (HCC), often occurring in patients with chronic viral hepatitis and cirrhosis, was one of the most common malignant tumors. Microvascular invasion (MVI) is one of the well-known potential predictors related to the prognosis of HCC. MVI with higher positive expression indicates more aggressive behaviour of HCC and poorer survival outcomes. Early accurate prediction for MVI status plays an important guiding role in surgical selection and adjuvant therapy for HCC. We proposed a radiomics model based on enhanced MRI to predict MVI in HCC before surgery. |
| 2988 | Deep learning-based detection of liver disease using MRI | |
| Mark A Pinnock1,2, Yipeng Hu1,2, Alan Bainbridge3, David Atkinson4, Rajeshwar P Mookerjee5, Stuart A Taylor4, Dean C Barratt1,2, and Manil D Chouhan4 | ||
1Centre for Medical Image Computing, University College London, London, United Kingdom, 2Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, United Kingdom, 3Department of Medical Physics and Biomedical Engineering, University College London Hospitals NHS Foundation Trust, London, United Kingdom, 4Centre for Medical Imaging, Division of Medicine, University College London, London, United Kingdom, 5Institute for Liver and Digestive Health, Division of Medicine, University College London, London, United Kingdom |
||
Traditional approaches to MRI detection of liver disease require specialist hardware, sequences and post-processing. Here we propose a deep learning (DL) based model for the detection of liver disease using standard T2-weighted anatomical sequences, as an early feasibility study for the potential of DL-based classification of liver disease severity. Our DL model achieved a diagnostic accuracy of 0.92 on unseen data and achieved a test accuracy of 0.75 when trained with relevant anatomical segmentation masks without images, demonstrating potential scanner/sequence independence. Lastly, we used DL interpretability techniques to analyse failure cases. |
| 2989 | A Two-Stage Deep Learning Model for Accurate Vessel Segmentation and Reconstruction in the MRI of Live | |
| Xu Luo1,2, Ailian Liu3, Yu Yao1,2, Ying Zhao3, Zhebin Chen1,2, Meng Dou1,2, and Han Wen1,2 | ||
1Chengdu Institute of Computer Application, Chinese Academy of Sciences, Chengdu, China, 2University of Chinese Academy of Sciences, Beijing, China, 3Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China |
||
The deep learning technology was used on the segmentation automatically and reconstruction of the intrahepatic portal vein to get its volume and three-dimensional spatial position information. The results showed that the dice accuracy was 83.32% in the training and 75.89% in the test set among 12 cases. The current study demonstrated the volume of intrahepatic vessels and 3D spatial location information can be obtained by the tow-stage deep learning model and it can be applied in promising clinical effectively. |
| 2990 | Deep Learning 3D Convolutional Neural Network for Noninvasive Evaluation of Pathologic Grade of HCC Using Contrast-enhanced MRI | |
| Ying Zhao1, Han Wen2,3, Ailian Liu1, Yu Yao2,3, Tao Lin1, Qingwei Song1, Xin Li4, Yan Guo4, and Tingfan Wu4 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Chengdu Institute of CoChinese Academy of Sciences, Chengdu, China, 3University of Chinese Academy of Sciences, Beijing, China, 4GE Healthcare (China), Shanghai, China |
||
In recent years, convolutional neural networks (CNNs) have become one of the most advanced deep learning networks. Deep learning with CNNs has reportedly achieved good performance in the pattern recognition of images. In the present study, 3D-CNN based on contrast-enhanced (CE)-MR images was demonstrated to be capable to evaluate pathologic grade of hepatocellular carcinoma (HCC) treated with surgical resection, which will provide more prognostic information and facilitate clinical management. |
| 2991 | T2WI liver MRI with deep learning-based reconstruction: a clinical feasibility study in comparison to conventional T2WI liver MRI | |
| Ruofan Sheng1, Liyun Zheng2, Shu Liao3, Yongming Dai2, and Mengsu Zeng1 | ||
1Department of Radiology, Zhongshan Hospital, Shanghai, China, 2United Imaging Healthcare, Shanghai, China, 3Shanghai United Imaging Intelligence, Shanghai, China |
||
Liver magnetic resonance imaging (MRI) is limited by several technical challenges, including relatively long acquisition time and respiratory motion artifacts. Recently, deep learning methods have been proposed to reconstruct undersampled k-space data by training deep neural networks. In this study, we raised a U-net convolutional neural network architecture to improve the reconstruction speed and image quality of liver T2-weighted MRI. This technique was able to cover the whole liver during one breath hold and showed promising performance in image quality and lesion detectability. |
| 2992 | Model-based Deep Learning Reconstruction using Folded Image Training Strategy (FITS-MoDL) for Liver MRI Reconstruction | |
| Satoshi Funayama1,2, Utaroh Motosugi3, and Hiroshi Onishi1 | ||
1Department of Radiology, University of Yamanashi, Yamanashi, Japan, 2Graduate School of Medicine, University of Yamanashi, Yamanashi, Japan, 3Department of Radiology, Kofu-Kyoritsu Hospital, Yamanashi, Japan |
||
Short acquisition time is one of the key features of liver MRI to acquire images during breath-holding. A combination of undersampling and deep learning-based reconstruction would be a powerful reconstruction method to achieve sufficient speed and SNR. However, it is challenging due to high memory consumption in network training. The folded image training strategy (FITS) is one of the methods to handle this problem. In this study, we demonstrated that the model-based deep learning reconstruction using FITS had better image quality in liver MRI acquired with multiple coils. |
| 2993 | The value of Radiomics combined with Machine Learning in the staging of liver Fibrosis | |
| Fengxian Fan1, Weiting Huang2, Yanli Jiang1, Wanjun Hu1, Jing Zhang1, and Jialiang Ren3 | ||
1LanZhou University Second Hospital, LanZhou, China, 2LanZhou University, LanZhou, China, 3GE Healthcare, Shanghai, China |
||
The purpose of this study is to develop radiomics models by using T1WI for staging liver fibrosis. Two hundred twenty-four patients had available pathologic reports of liver fibrosis and liver MRI were divided into training (n=179) and testing (n=45) cohorts to develop and validate the radiomics models. The results showed that the T1WI-based radiomics models had a powerful ability to stage liver fibrosis. |
| 2994 | Few-shot deep learning for kidney segmentation | |
| Junyu Guo1 and Ivan Pedrosa1 | ||
1Radiology, UT southwestern medical center, Dallas, TX, United States |
||
MR kidney image segmentation is an important enabler of radiomics analysis and assessment of kidney size, morphology and renal disease. Deep learning methods are state-of-the-art techniques for segmentation. Training of a robust model with high accuracy requires a large dataset. Manually drawing masks is time-consuming and labor-intensive for a large number of datasets. Furthermore, different masks are required in training for different MR modalities. In this study, we investigated the feasibility of kidney segmentation using deep learning models trained with MR images from only a few subjects. We tested the hypothesis that few-shot deep learning may achieve accurate kidney segmentation. |
| 2995 | Deep learning based kidney segmentation for high temporal resolution tracking renal size changes during sequential gas challenges | |
| Kaixuan Zhao1,2, Joao dos Santos Periquito3, Thomas Gladytz2, Kathleen Cantow3, Luis Hummel3, Jason Millward2, Sonia Waiczies2, Erdmann Seeliger3, Yanqiu Feng1, and Thoralf Niendorf2,4 | ||
1School of Biomedical Engineering, Southern Medical University, Guangzhou, China, 2Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbruck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 3Institute of Physiology, Charité - Universitätsmedizin Berlin, 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 |
||
Fast renal volume changes during sequential gas challenges might indicate the dynamic balance between renal filtration and reabsorption. In the present work, a deep learning based semantic segmentation method is employed to monitor renal size changes. |
| 2996 | Is it Feasible? IVIM-DWI and T2WI-based Texture Analysis Predicting Histological Types of Cervical Carcinoma Before Operation | |
| Jiang-Ning Dong1 and Bin Shi1 | ||
1The First Affiliated Hospital of USTC, Anhui Provincial Cancer Hospital, Hefei, China |
||
The combination of IVIM-DWI biomarkers and T2WI-based texture features had good predictive performance to evaluate three different histological types of cervical carcinoma by synergizing diffusion, perfusion and heterogeneous features, especially for cervical squamous cell carcinoma and adenocarcinoma. A novel quantitative preoperative imaging model composed of IVIM-DWI and TA is a useful supplement for histopathological diagnosis, and might be used in clinical practice to assist in the formulation of treatment strategy. |
| 2997 | Fully Automated Pelvic Bones Segmentation in Multiparameter MRI Using a 3D Convolutional Neural Network | |
| xiang liu1, chao han1, and xiaoying wang1 | ||
1department of radiology, peking university first hospital, Beijing, China |
||
This retrospective study aims to perform automated pelvic bones segmentation in multiparametric MRI (mpMRI) using 3D convolutional neural network (CNN). 264 pelvic DWI images and corresponding ADC maps obtained from three MRI vendors from 2018 to 2019 were used for the 3D U-Net CNN development. 60 independent mpMRI data from 2020 were used to externally evaluate the segmentation model using quantitative criteria (Dice similarity coefficient) and qualitative assessment (SCORE system). The results demonstrated that the 3D CNN can achieve fully automated pelvic bone segmentation on multi-vendor DWI and ADC images with good quantitative and qualitative performances. |
| 2998 | Motion Robust High-Resolution Pelvic Imaging using PROPELLER and Deep Learning Reconstruction | |
| Ali Pirasteh1, Lloyd Estkowski2, Daniel Litwiller3, Ersin Bayram4, and Xinzeng Wang5 | ||
1Department of Radiology, UW Madison, Madison, WI, United States, 2Global MR Applications & Workflow, GE Healthcare, Madison, WI, United States, 3Global MR Applications & Workflow, GE Healthcare, Denver, CO, United States, 4Global MR Applications & Workflow, GE Healthcare, Houston, TX, United States, 5GE Healthcare, Houston, TX, United States |
||
We evaluated the utility of PROPELLER T2 FSE with deep-learning (DL) reconstruction in the setting of prostate and rectal imaging, with the goal of overcoming respiratory and peristaltic motion, improving image sharpness, and achieving high-resolution imaging within a comparable scan time to the traditional T2 FSE techniques. We demonstrated that in absence of DL reconstruction, the PROPELLER T2 FSE images suffer from excessive noise and lower subjective quality. However, with utilization of DL reconstruction, High-resolution and motion robust images were obtained at clinically acceptable scan times. |
| 2999 | Deep Learning Reconstruction for DWI with b Values < 5000s/mm2: Improvement of Image Quality and Diagnostic Performance for Prostatic Cancer | |
| Takahiro Ueda1, Yoshiharu Ohno1,2, Kaori Yamamoto3, Kazuhiro Murayama2, Masato Ikedo3, Masao Yui3, Akiyoshi Iwase4, Takashi Fukuba4, Satomu Hanamatsu1, Yuki Obama1, Hirotaka Ikeda1, 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, 4Radiology, Fujita Health University Hospital, Toyoake, Japan |
||
There have been no reports of major studies to the utility of DLR for DWI with high b values for improving image quality and detection performance for patients with prostatic cancers. We hypothesized that DLR could improve image quality and diagnostic performance of DWI with high values, and that an appropriate b value might be determined for this setting. The purpose of this study was thus to determine the utility of the DLR method for DWI and the appropriate b value for detecting prostatic cancer using a 3T MR system in routine clinical practice. |
| 3000 | T2-weighted Pelvic MR Imaging Using PROPELLER with Deep Learning Reconstruction for Improved Motion Robustness | |
| Mohammed Saleh1, Sanaz Javadi1, Manoj Mathew2, Jong Bum Son3, Jia Sun4, Ersin Bayram5, Xinzeng Wang5, Jingfei Ma3, Janio Szklaruk1, and Priya Bhosale1 | ||
1Radiology, MD Anderson Cancer Center, Houston, TX, United States, 2Radiology, Stanford University, Stanford, CA, United States, 3Imaging Physics, MD Anderson Cancer Center, Houston, TX, United States, 4Biostatistics, MD Anderson Cancer Center, Houston, TX, United States, 5Global MR Applications and Workflow, GE Healthcare, Houston, TX, United States |
||
In oncologic MRI, sagittal T2 weighted images are usually acquired to assess gynecologic malignancy. Motion artifacts may render pathology difficult to detect due to patient or bowel motion or the presence of air in the rectum. PROPELLER sequence has shown promising results to reduce motion-related artifacts. Our work shows that DL Recon can be combined with PROPELLER and further help reduce noise and improve the overall image quality for T2-weighted imaging of gynecological malignancies. The combination of PROPELLER (Non-DL) and DL reconstruction could be synergistic in improving image quality. |
| 3001 | Quantifying Efficiency and Variability of Clinical MRI Exams with Advanced Analytics Tools | |
| Sheena Y Chu1, Scott B Reeder1,2,3,4,5, and John W Garrett1,3 | ||
1Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States, 3Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 4Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 5Department of Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
||
By quantifying the efficiency and variability of clinic MRI exams, sources of potential improvement can be identified. An increase in efficiency and decrease in variability of MRI exams are essential to plan appropriate exam slot lengths, which can contribute to better patient access and reduced cost. Analytics are also essential to measure the impact on interventions to improve workflow. In this work we demonstrate the utility of analytics to identify inefficiencies in clinical MRI protocol in the context of MR enterography, a common abdominal MRI exam. |
| 3002 | Application value of Radiomics Methods Based on DKI Sequence MK Map for Differentiating squamous Cell carcinoma from cervix Adenocarcinoma | |
| Shifeng Tian1, Ailian Liu1, Yan Guo2, and Yuan Wei1 | ||
1Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China, China, 2GE Healthcare, Dalian City, China, China |
||
Squamous cell carcinoma is the most common pathological type in cervical cancer, followed by cervix adenocarcinoma. There are differences in the evaluation of prognosis between the two. Radiomics can quantitatively analyze a large number of image data, and then quantify tumor heterogeneity and noninvasively evaluate tumor biological behavior. The results suggest that radiomics based on mean kurtosis maps of diffusion kurtosis imaging sequences can identify different types of cervical cancer. |
| 3003 | Radiomics Based on MR Imaging of Rectal Mucinous Adenocarcinoma: Assess Treatment Response to Neoadjuvant Chemoradiotherapy | |
| Fu Shen1, Minglu Liu1, Zhihui Li1, Xiaolu Ma1, Jianping Lu1, and Yuwei Xia2 | ||
1Changhai Hospital, Shanghai, China, 2Huiying Medical Technology Co., Ltd., Beijing, China |
||
The goal of this study was to investigate the value of high resolution T2-weighted–based radiomics in prediction of treatment response to neoadjuvant chemoradiotherapy (nCRT) in patients with rectal mucinous adenocarcinoma (RMAC). The result demonstrated that the MRI based radiomics machine learning model could assess tumoral treatment response to nCRT in patients with RMAC. |
| 3004 | Breast MRI radiomic shape features for the prediction of neoadjuvant therapy response | |
| Wen Li1, Rohan Nadkarni1, David C Newitt1, Bo La Yun1,2, Deep Hathi1, Alex Nguyen1, Natsuko Onishi1, Lisa J Wilmes1, Ella F Jones1, Jessica Gibbs1, Teffany Joy Bareng1, Bonnie N Joe1, Elissa Price1, Rita Mukhtar1, John Kornak1, Efstathios Gennatos1, I-SPY 2 Consortium3, Laura J Esserman1, and Nola M Hylton1 | ||
1University of California, San Francisco, San Francisco, CA, United States, 2Seoul National University Bundang Hospital, Seoul, Korea, Republic of, 3Quantum Leap Healthcare Collaborative, San Francisco, CA, United States |
||
A previous study demonstrated that tumor sphericity, measured from breast DCE-MRI during neoadjuvant therapy, is predictive of pathologic complete response and adds value to a predictive model based on functional tumor volume (FTV) alone. This study further explores the additive value of alternative radiomic shape features by breast cancer subtype. A subset of shape features were selected using visually assessed MRI morphological patterns as guidance. The analysis of treatment response prediction was conducted retrospectively using data from the multi-center neoadjuvant I-SPY 2 TRIAL. Improved predictive performance when adding shape features was observed at both pre-treatment and early treatment time points. |
| 3005 | The nomogram of MRI-based radiomics with complementary visual features by machine learning improves stratification of glioblastoma patients | |
| ZHENYU SHU1, YUYUN XU1, and YONG ZHANG2 | ||
1Zhejiang Provincial People’s Hospital, Hangzhou, China, 2MR Research, GE healthcare (China), SHANG HAI, China |
||
This preliminary study explored the application of radiomics MRI in overall survival(OS) of glioblastoma patients. We found that EPI, age, and radiomic signature are independent predictors of OS for glioblastoma patients. The nomogram was created by integrating the three independent predictors, had the best performance when stratifying glioblastoma patients into long- versus short-term survival, which could help clinicians develop optimal treatment plans. |
| 3205 | Computed DWIs with different b values vs. Actual DWI vs. FDG-PET/CT: Capability for N-Stage Assessment in NSCLC Patients. | |
| Yoshiharu Ohno1,2,3, Masao Yui4, Takeshi Yoshikawa3,5, Daisuke Takenaka5, Kaori Yamamoto4, Yoshimori Kassai4, Kazuhiro Murayama2, 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, 3Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan, 4Canon Medical Systems Corporation, Otawara, Japan, 5Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan |
||
No major papers that directly compared the capability for N-stage evaluation among cDWIs with different b values, aDWI and FDG-PET/CT in NSCLC patients. We hypothesize that cDWI has a potential for improving diagnostic performance of N-stage in NSCLC patients as compared with aDWI as well as FDG-PET/CT, when set appropriate b value. The purpose of this study is to directly compare the capability for N-stage evaluation among cDWI with different b values, aDWI and FDG-PET/CT in NSCLC patients. |
| 3206 | The value of PET/MRI in the identification of non-small cell lung cancer: stretch index diffusion imaging and metabolic parameters | |
| Zhun Huang1, Nan Meng2, Zhixue Wang3, Fangfang Fu2, Pengyang Feng1, Ting Fang2, Yan Bai2, Wei Wei2, Yaping Wu2, Jianmin Yuan4, Yang Yang5, Hui Liu6, and Meiyun Wang*1 | ||
1Department of Radiology, Henan University People’s Hospital & Henan Provincial People’s Hospital, School of Basic Medicine, zhengzhou, China, 2Department of Radiology, Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Academy of Medical Sciences, zhengzhou, China, 3Department of Radiology, the First Affiliated Hospital of Henan Medical University, Kai Feng, China, 4Central Research Institute, UIH Group, Shanghai, China, zhengzhou, China, 5Central Research Institute, UIH Group, Beijing, China, Bei Jing, China, 6UIH America, Inc, Houston, TX, United States, Houston, TX, United States |
||
PET/MRI is a very promising technology. PET can reflect metabolism, and stretch index diffusion imaging can reflect molecular diffusion rate and heterogeneity. The results show that the combination of the two has the best identification effect, and further analysis shows that SUVmax is negatively correlated with α. |
| 3207 | Distinguishing malignant and benign lung lesions with multiparametric 18F-FDG PET/MRI: Comparison of metabolic parameters and IVIM parameters | |
| Fangfang Fu1, Nan Meng2, Zhun Huang3, Yaping Wu1, Pengyang Feng3, Xiaochen Li1, Yan Bai1, Wei Wei1, Jianmin Yuan4, Tianyi Xu4, and Meiyun Wang1 | ||
1Department of Medical Imaging, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China, 2Department of Radiology, Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Academy of Medical Sciences, Zhengzhou, China, 3Department of Radiology, Henan University People’s Hospital & Henan Provincial People’s Hospital, School of Basic Medicine. Department of Radiology, Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Academy of Medical Sciences., Zhengzhou, China, 42258 Chengbei Road, Jiading District, Shanghai, China 201907, Shanghai, China |
||
Distinguishing malignant from benign pulmonary lesions is critical. In the study, 18F-FDG PET/MRI were used to obtain metabolic parameters and IVIM diffusion parameters for differential diagnosis of benign and malignant lung lesions. Our results showed that multiparametric PET/MRI is helpful in the differentiation of pulmonary lesions. 18 FDG hybrid PET-MRI enables a robust differentiation of malignant and benign pulmonary lesions when several IVIM parameters and PET parameters are combined. Thus, PET-MRI may reduce some unnecessary lung biopsies. |
| 3208 | Pulmonary functional imaging for lung adenocarcinoma: combined MRI assessment based on IVIM-DWI and OE-UTE-MRI | |
| Gaofeng Shi1, Liyun Zheng2, Yongming Dai2, Hui Liu1, Hui Feng1, and Hongshan Zhu1 | ||
1Department of Radiology, Fourth Hospital of Hebei Medical University, Shijiazhuang, China, 2United Imaging Healthcare, Shanghai, China |
||
Despite the introduction of new treatment options in recent years, the survival rates of patients with lung adenocarcinoma (LUAD) remain unsatisfactory. In order to care for patients effectively, clear insight into the processes of ventilation and perfusion of LUAD is required. In this work, Intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) was used to monitor the blood flow while oxygen-enhanced MRI (OE-MRI) was used to measure the ventilation. Our results showed that the combined measurement of OE-MRI and IVIM-DWI may serve as a promising method for the noninvasive assessment of lung function and classification of LUAD subtype. |
| 3209 | The diagnostic value of MRI extracellular volume(ECV) to pulmonary occupied lesions | |
| Yongqing Yang1,2, Peng Zhao2, Xiangtao Lin1,2, Yu Wang1,2, Mengxiao Liu3, Wenjing Ma2, Shuai Duan2, Nan Lin2, Xiaoli Li1,2, Dejuan Shan1,2, and Zhongyu Hou2 | ||
1Radiology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China, 2Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 3MR Scientific Marketing,Diagnostic Imaging, Siemens Healthcare Ltd., Shanghai, China |
||
In order to diagnose of the pathological type of pulmonary occupied lesions by non-invasive imaging, 30 patients were scanned with chest MRI using Siemens 3T scanner. The T1 mapping sequences were used before and after the injection of contrast agent, and the extracellular volume (ECV) was calculated. The statistical differences of ECV between squamous, adenocarcinoma and small cell carcinoma were analyzed by single-factor variance, and there were significant statistical differences (P<0.05). |
| 3210 | Using GRASP-DCE MRI for the Identification of Subtypes of Lung Cancers from Benign Lung Lesions. | |
| Dandan Peng1, Cong Xia1, Yuancheng Wang1, Zhongshuai Zhang2, and Shenghong Ju1 | ||
1Zhongda Hospital, Medical School of Southeast University, Nanjing, China, 2SIEMENS Healcare, Shanghai, China |
||
This study is expected to provide information about differentiating of benign from malignant pulmonary lesions with free-breathing Golden-angle RAdial Sparse Parallel (GRASP)-DCE MRI among 33 lung lesions. The results initially indicated that the quantitative DCE parameter maps calculated by GRASP-DCE MR could be a clinical useful technique for lung lesions detection. |
| 3211 | Analysis of the diagnostic value of multimodal magnetic resonance imaging for non-small cell lung cancer | |
| Ting Fang1, Nan Meng1, Meiyun Wang1,2, Zhun Huang2, Pengyang Feng2, Fangfang Fu3, Wei Wei3, Yaping Wu3, Yan Bai3, Jianmin Yuan4, Yang Yang5, and Hui Liu 6 | ||
1Department of Radiology, Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 2Department of Radiology, Henan University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 3Henan Provincial People’s Hospital, Zhengzhou, China, 4Central Research Institute, UIH Group, Shanghai, China, 5Central Research Institute, UIH Group, Beijing, China, 6UIH America, Inc. 9230 Kirby Dr. STE600, Houston, TX, United States |
||
Chemical exchange saturation transfer (CEST) is a new type of MRI technology, can selectively label the exchangeable hydrogen protons in endogenous or exogenous free macromolecules. Intravoxel incoherent motion (IVIM) MRI can be separated to obtain information related to true water molecule diffusion and microcirculation perfusion through double exponential model analysis. Our research shows that CEST and IVIM have similar diagnostic performance in the differential diagnosis of lung squamous cell carcinoma and lung adenocarcinoma. |
| 3212 | Differentiation of malignant and benign solitary pulmonary nodules using radial sampled T2 mapping and DW-IVIM with reduced FOV | |
| Fu Yicheng1, Zhang Zhongshuai2, Yu Ye1, and Wu Huawei1 | ||
1Radiology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China, 2SIEMENS Healthcare, China, Shanghai, China |
||
We use quantitative parameters of T2 mapping and diffusion-weighted intro-voxel incoherent movement (DW-IVIM) with reduced field of view to distinguishing different type of solitary pulmonary nodules. Our result is the 90%, maximum of T2 value, ADC value, mean and maximum of D value had significant difference between benign and malignant SPNs which mean quantitative T2 mapping and IVIM parameters may provide valuable information and serve as a supplementary imaging marker for differentiating malignant from benign SPNs. |
| 3213 | Comparing ADC and IVIM for Identification of the subtypes of Lung Cancers from Benign Lung Lesions using iShim technique | |
| Dandan Peng1, Zhongshuai Zhang2, Cong Xia1, Yuancheng Wang1, and Shenghong Ju1 | ||
1Zhongda Hospital, Medical School of Southeast University, Nanjing, China, 2SIEMENS Healcare, Shanghai, China |
||
This study aimed to provide information about differentiation of benign from malignant pulmonary lesions with Intravoxel Incoherent Motion Diffusion-Weighted using individual shimming technique among 33 lung lesions. The results initially indicated that ADC and IVIM and could be great techniques for lung lesions detection. |
| 3214 | Comparison of UTE 1H lung MRI with quantitative CT and hyperpolarized 129Xe diffusion-weighted MRI in IPF | |
| Ho-Fung Chan1, James A Eaden1, Nicholas D Weatherley1, Kevin Johnson2, Guilhem J Collier1, Madhwesha Rao1, Graham Norquay1, Jody Bray1, Smitha Rajaram1, Andrew J Swift1, Ronald A Karwoski3, Brian J Bartholmai3, Stephen M Bianchi4, and Jim M Wild1 | ||
1Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, 2Radiology and Medical Physics, University of Wisconsin, Madison, WI, United States, 3Biomedical Imaging Resource, Mayo Clinic, Rochester, MN, United States, 4Academic Directorate of Respiratory Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom |
||
A simple signal density-based analysis of UTE 1H MRI was compared to hyperpolarized 129Xe diffusion-weighted (DW)-MRI and CALIPER CT in twelve idiopathic pulmonary fibrosis (IPF) patients at baseline and after 1 year. A statistically significant correlation between the normalized UTE signal and CALIPER interstitial lung disease percentage was observed in the lower lung zone. Trends between UTE signal and 129Xe DW-MRI metrics in the lower zone was observed, and no significant longitudinal change in UTE MRI signal was observed. UTE MRI signal is sensitive to IPF lung parenchyma changes and may demonstrate sensitivity to longitudinal changes in a larger cohort. |
| 3215 | The diagnostic value of MR dynamic enhancement quantitative parameter for usual interstitial pneumonia and nonspecific interstitial pneumonia | |
| XinHui Chen1, ZhiPeng Zhou2, Cheng Ge2, XinGuan Yang2, Long Qian3, and Weiyin Vivian Liu3 | ||
1Radiology, Doctor, Zhan Jiang, China, 2doctor, Gui Lin, China, 3MR Research, Beijing, China |
||
Different treatments were not given to patients [1]HRCT on diagnosis of atypical interstitial pneumonia appears to be powerless, so further examination of pathological biopsy is usually required. However, pathological biopsy often causes a series of complications and reduces the survival rate of patients[2]. This study aims to distinguish between UIP and NSIP using MRI dynamic enhancement quantitative parameters. The results showed that the blood flow in the lungs of UIP patients is significantly reduced. The quantitative parameters of MRI dynamic enhancement had potential in distinguishing UIP from NSIP. |
| 3216 | Correlation of global and regional hyperpolarised 129-Xenon MRI with quantitative CT in patients with idiopathic pulmonary fibrosis | |
| James A Eaden1,2, Guilhem J Collier1, Ho-Fung Chan1, Nicholas D Weatherley1,2, Graham Norquay1, Smitha Rajaram3, Andy Swift1,3, Ronald A Karwoski4, Brian Bartholmai4, Stephen M Bianchi2, and Jim M Wild1,5 | ||
1POLARIS, MRI unit, Department of Infection Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, 2Academic Directorate of Respiratory Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom, 3Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom, 4Mayo Clinic, Rochester, MN, United States, 5Insigneo institute, University of Sheffield, Sheffield, United Kingdom |
||
Correlations between 129Xe MRI measures of microstructure and gas exchange and CALIPER CT variables were evaluated both globally and regionally in IPF patients. To date, 27 subjects have undergone both baseline 129Xe DW-MRI and CT with 13 of them having baseline dissolved 129Xe imaging using a 3D radial spectroscopic method. Our findings demonstrate several significant correlations between dissolved 129Xe MRI (RBC:TP, TP:Gas, RBC:Gas) and CALIPER variables. Vessel related structures % was the only CALIPER variable that showed a significant correlation between 129Xe RBC:TP globally and in all lung zones. There were no significant correlations between 129Xe DW-MRI and CALIPER variables. |
| 3217 | Lung parenchyma T1 mapping correlates lung pathology seen on CT in patients with pulmonary hypertension. | |
| Laura Saunders1, Dave Capener1, David G Kiely1,2, Andy J Swift1, and Jim M Wild1 | ||
1Infection Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, 2Sheffield Pulmonary Vascular Disease Unit, Sheffield, United Kingdom |
||
Assessment of lung changes in patients with pulmonary hypertension plays an important role in establishing patient aetiology and treatment. 82 patients with suspected pulmonary hypertension underwent 2D single slice Look-Locker inversion recovery T1 mapping. Lung T1 was significantly lower in patients with emphysema seen on 3D CT than in patients with fibrosis, centrilobular ground glass or no lung disease seen on 3D CT. Lung T1 was more sensitive in differentiating lung pathology seen on CT when excluding lung vessels from average metrics, and when using median rather than mean lung T1. |
| 3218 | Imaging the interplay of notch-DLL4 expression with pulmonary radiation injury using dynamic contrast enhanced ultrashort echo time imaging | |
| El-Sayed H Ibrahim1, Abdul Parchur1, Brian Fish1, Meetha Medhora1, and Amit Joshi1 | ||
1Medical College of Wisconsin, Milwaukee, WI, United States |
||
Lung injury after exposure to high-dose radiation during cancer treatment has been well described. Our goal in this study is to develop minimally invasive biomarkers for predicting radiation-induced lung injury and assess the role of DLL4 expression in response to radiation injury. We presented a non-invasive UTE-based DCE MRI method for in-vivo quantification of irradiation-induced vascular perfusion and permeability early changes in lungs using two rat models which only differ in 3rd chromosome and DLL4 expression on endothelium. Such knowledge is crucial for accurately evaluating the efficacy of radioprotectors and therapeutic agents, and for monitoring individuals with survivable radiation injury. |
| 3219 | Assessment of dynamic thoracic motion for pre and post-surgical assessment using xt-PCA | |
| Laurence H. Jackson1, Joanna Bell2, Giulia Benedetti2, Sze Mun Mak2, Rachael Franklin3, Rebecca Preston2, Andrea Bille4, John Spence2, and Geoff Charles-Edwards1 | ||
1Medical Physics, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom, 2Department of Radiology, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom, 3Medical Physics, King's College Hospital NHS Foundation Trust, London, United Kingdom, 4Department of Thoracic Surgery, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom |
||
Despite recent advances in surgical techniques, postoperative complications arise in 24-41% of patients undergoing thoracic surgery. Here we present an MRI protocol for the pre and postoperative assessment of chest wall and diaphragmatic motion which provides valuable dynamic information to aid radiological assessment in these highly variable patients. We also propose a novel method for fully automated extraction of the diaphragm motion which can provide an additional tool to aid radiologists in making the distinction between expected and adverse postoperative pathologies. |
| 3220 | Proton lung ventilation MRI in cystic fibrosis: comparison with hyperpolarized gas MRI, pulmonary function tests and multiple-breath washout | |
| Bilal A Tahir1,2, Laurie J Smith1, Joshua R Astley1,2, Michael Walker1, Alberto M Biancardi1, Guilhem J Collier1, Paul J Hughes1, Helen Marshall1, and Jim M Wild1 | ||
1POLARIS, University of Sheffield, Sheffield, United Kingdom, 2Oncology and Metabolism, University of Sheffield, Sheffield, United Kingdom |
||
Several methods of mapping regional ventilation from multi-inflation 1H-MRI have been proposed, potentially transforming 1H-MRI from a structural modality into one that can image and quantify pulmonary ventilation. However, their physiological accuracy and sensitivity to lung inflation level is an ongoing research question. Here, we compare surrogates of regional ventilation, derived from non-contrast inspiratory and expiratory breath-hold 3D gradient-echo 1H-MRI with hyperpolarized 3He-MRI, pulmonary functions tests and multiple-breath washout in a cohort of cystic fibrosis patients with a range of disease severity and age. We observed moderate to strong correlations with all lung function measures and 3He-MRI. |
| 3221 | Same-session Repeatability of Hyperpolarized 129Xe MRI Gas Uptake Measures in Healthy Subjects and Subjects with COPD | |
| William J Garrison1, G Wilson Miller1,2, Kun Qing2, Y Michael Shim3, Jaime F Mata2, Mu He3, Talissa A Altes4, Joanne M Cassani4, Sarah E Struchen2, Roselove N Nunoo-Asare2, Nicholas J Tustison2, Alan M Ropp2, and John P Mugler III1,2 | ||
1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, United States, 3Medicine, University of Virginia, Charlottesville, VA, United States, 4Radiology, University of Missouri, Columbia, MO, United States |
||
Same-session repeatability of quantitative measures of gas uptake derived from MRI of inhaled hyperpolarized 129Xe was assessed in healthy and COPD subjects, as well as the impact of scan-to-scan lung volume differences on measured gas uptake. Strong tissue-to-gas and RBC-to-tissue repeatability was found in same-day dissolved-phase 129Xe MRI scans performed at one-third of forced vital capacity, and regressing out scan-to-scan lung volume changes improved repeatability further. COPD subjects displayed similar or better repeatability when compared with healthy subjects. |
| 3222 | Accelerated dynamic 19F-MRI of inhaled perfluoropropane for quantitative regional assessment of gas wash-in biomarkers in patients with COPD | |
| Mary A. Neal1,2, Benjamin J. Pippard1,2, Kieren G. Hollingsworth1,2, A. John Simpson2, and Peter E. Thelwall1,2 | ||
1Newcastle Magnetic Resonance Centre, Newcastle University, Newcastle upon Tyne, United Kingdom, 2Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom |
||
19F-MRI of inhaled perfluoropropane (PFP) permits regional assessment of pulmonary ventilation. Dynamic multi-breath PFP wash-in and wash-out images were acquired in one healthy volunteer and two patients with chronic obstructive pulmonary disease (COPD) during short successive breath holds, using a repeated 3D 19F-SPGR sequence accelerated with compressed sensing. Resultant image quality achieved in each 7.5s compressed sensing acquisition dynamic was sufficient for segmentation and permitted visualisation of a case of gas trapping secondary to apical predominant emphysema. A strong negative correlation between regional wash-in and wash-out rates and spirometric indices was measured. |
| 3223 | Identification of COPD Lesions Using 3D Ultrashort Echo-Time Imaging with Ventilation Map and Ventilation Flow Map | |
| Seokwon Lee1, Jinil Park2, Hyonha Kim1, Ho Yun Lee3, and Jang-Yeon Park1,4 | ||
1Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 2Biomedical Institute for Convergence at SKKU, Sungkyunkwan University, Suwon, Korea, Republic of, 3Department of Radiology and Center for Imaging Science, Samsung Medical Center, Seoul, Korea, Republic of, 4Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea, Republic of |
||
Chronical Obstructive Pulmonary Disease (COPD) is an obstructive lung disease and mainly consists of emphysema and chronic bronchitis. Recent works proposed for the quantitative evaluation of emphysema severity based on the signal intensity of UTE lung images. Through this study, MRI, as well as CT, can represent the defect region for the ventilation defect region, and furthermore, the degree of the lesion and the ventilation function of the lungs can be evaluated such as ventilation map, ventilation flow map and histogram. The potential of methods was validated by ventilation map, ventilation flow map and ventilation histogram in emphysema patient. |
| 3224 | Generalizable deep learning for multi-resolution proton MRI lung segmentation in multiple diseases | |
| Joshua R Astley1,2, Alberto M Biancardi1, Helen Marshall1, Laurie J Smith1, Guilhem J Collier1, Paul J Hughes1, Michael Walker1, Matthew Q Hatton2, Jim M Wild1, and Bilal A Tahir1,2 | ||
1POLARIS, University of Sheffield, Sheffield, United Kingdom, 2Oncology and Metabolism, University of Sheffield, Sheffield, United Kingdom |
||
We evaluate a fully-automated generalizable deep learning (DL) approach for lung segmentation using a 3D convolutional neural network on a large and diverse proton (1H) MRI dataset, containing images acquired at different resolutions and inflation levels. The dataset comprised of 336 1H-MR images from healthy subjects and patients with respiratory diseases. Our trained model was able to accurately segment scans of markedly different resolutions (3x3x3mm3, 4x4x5mm3 and 4x4x10mm3), achieving a mean±SD Dice similarity coefficient of 0.94±0.02. In addition, it was shown that DL generates more accurate segmentations compared to state-of-the-art solutions. |
| 3225 | Deep learning improves retrospective free-breathing 4D-ZTE thoracic imaging: Initial experience | |
| Dorottya Papp1, Jose M. Castillo T.1, Piotr A. Wielopolski1, Pierluigi Ciet1, Gyula Kotek1, Jifke F Veenland1, and Juan Antonio Hernandez-Tamames2 | ||
1Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, Netherlands, 2Erasmus Medical Center, Rotterdam, Netherlands |
||
Although fully convolutional neural networks (FCNNs) have been widely used for MR imaging, they have not been extended for improving free-breathing lung imaging yet. Our aim was to improve the image quality of retrospective respiratory gated version of a Zero Echo Time (ZTE) MRI sequence (4D-ZTE) in free-breathing using a FCNN so enabling free-breathing acquisition in those patients who cannot perform breath-hold imaging. Our model obtained a MSE of 0.08% on the validation set. When tested on unseen data (4D-ZTE) the predicted images from our model had improved visual image quality and artifacts were reduced in free-breathing 4D-ZTE. |
| 3226 | Simultaneous segmentation of airways and ventilated lung in hyperpolarised-gas MR images by deep learning | |
| Fabien J Bertin1, Guilhem J Collier2, Paul JC Hughes2, Laurie Smith2, James Aeden2, Helen Marshall2, Jim M Wild2,3, and Alberto M Biancardi2 | ||
1Télécom SudParis, Paris, France, 2POLARIS, Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom, 3Insigneo Institute for in silico Medicine, The University of Sheffield, Sheffield, United Kingdom |
||
The assessment of pulmonary hyperpolarised(HP)-gas MR images is instrumental in identifying potential pathologies, directing treatment, or monitoring disease progression. HP-gas images quantify the amount of gas concentration, whose distribution within the lungs is analysed. A key role in this process is played the main airways that are identified for quality control and excluded for the analysis. Currently, this task is performed manually and existing deep-learning (DL) applications do not provide an explicit labelling of the airways. A specific tailoring of a well-known DL approach was developed with the aim of replacing the manual editing thanks to its good performance. |
| 3227 | A Flexible Physics-Based Digital Phantom for Functional Lung MRI Validation | |
| Sarah H. Needleman1, Jamie R. McClelland2, Björn Eiben2, and Geoff J. M. Parker1,3 | ||
1Centre for Medical Image Computing, Quantitative Imaging Group, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 2Centre for Medical Image Computing, Radiotherapy Image Computing Group, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 3Bioxydyn Limited, Manchester, United Kingdom |
||
We describe a flexible framework incorporating an anatomically realistic digital thorax phantom with physics-based simulation, respiratory motion and functional contrasts. We demonstrate the framework in the context of dynamic oxygen-enhanced MRI (OE-MRI).
The framework is designed to provide ground-truth for assessment of novel scan protocols and analysis methods, of utility for OE-MRI as derived lung function measures are limited in accuracy due to motion artefacts, blurring and poor signal-to-noise ratio. The framework was applied to a 2D inversion-prepared spoiled gradient echo dynamic OE-MRI readout. The simulated series displayed respiratory motion; quantitative measures describing hyperoxia-induced contrast enhancement agreed with experimental literature. |
| 3228 | A 3D Stack-of Spirals Approach for Inert Fluorinated (19F) Gas MRI of the Lungs | |
| Brandon Zanette1, Yonni Friedlander1,2, Marcus J Couch3,4,5, and Giles Santyr1,2 | ||
1Translational Medicine, The Hospital for Sick Children, Toronto, ON, Canada, 2Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3Siemens Healthcare Limited, Montreal, QC, Canada, 4McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, QC, Canada, 5Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada |
||
Inert fluorinated (19F) gas MRI is an emergent technology that has potential to be a lower cost, reduced infrastructure alternative to hyperpolarized gas MRI for lung imaging. In this work we present an approach for non-Cartesian spiral imaging in a phantom. Compared to typical gradient echo imaging with the same spatial resolution, the proposed approach increased SNR by 44% in approximately a third of the acquisition time. Further simulation and extrapolation to clinical imaging experiments indicate significant potential for this approach to improve SNR and image quality. |
| 3229 | Simulation of Lung Parenchyma MRI and Field-Strength Dependence | |
| Bochao Li1, Nam G. Lee1, and Krishna Nayak2 | ||
1Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, 2Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States |
||
MRI of lung parenchyma is limited by low proton density and susceptibility effects at air-tissue interfaces. Recent high-performance low-field MRI systems have provided a new opportunity to mitigate the latter issue. In this work, we demonstrate a framework for simulating lung MRI across B0 field strengths. We estimate apparent transverse relaxation due to proximity to A) sub-voxel alveoli, and B) bronchial tree. Alveoli are modeled using face-centered cubic close packing. The bronchial tree is modeled using a recent XCAT phantom. |
| 3230 | Phase-Cycled Balanced Steady-State Free Precession Imaging for Functional Lung Imaging at 1.5 and 3 Tesla | |
| Efe Ilicak1, Jascha Zapp1, Safa Ozdemir1, Lothar R. Schad1, 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 |
||
Functional lung imaging is of great importance for diagnosis of pulmonary diseases. Previously, a non-contrast-enhanced method called Fourier Decomposition was proposed for assessing pulmonary functions based on balanced steady-stated free precession pulse sequence. However, this pulse sequence is known to be sensitive to magnetic field inhomogeneities. Here, we propose a phase-cycled acquisition for improved robustness against field inhomogeneities. In vivo results from 1.5 T and 3 T scanners are provided to demonstrate the performance of phase-cycled acquisitions for functional lung imaging. Preliminary results indicate that phase cycling can be a viable option for reducing limitations arising from magnetic field inhomogeneities. |
| 3231 | Free-breathing thoracic imaging using balanced steady-state free precession with half-radial dual-echo readout (bSTAR) | |
| Grzegorz Bauman1,2 and Oliver Bieri1,2 | ||
1Department of Radiology, Division of Radiological Physics, University of Basel Hospital, Basel, Switzerland, 2Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland |
||
In this work, we demonstrate the application of free-breathing respiratory self-gated thoracic MRI with balanced steady-state free precession half-radial dual-echo imaging technique (bSTAR) in human subjects. The technique combines an efficient minimal-TR readout sampling with an interleaved randomly tilted Archimedean spiral trajectory. The methodological improvements result in high-quality visualization of pulmonary parenchyma and vessel structure. The proposed k-space sampling scheme allows reconstruction of multi-volume data sets at different respiratory phases. |
| 3232 | Improving iMoCo through Group-wise Registration and Motion State Weighted Reconstruction | |
| Zekang Ding1, Huajun She1, and Yiping Du1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China |
||
In original iMoCo algorithm, a single frame image was reconstructed by solving the iMoCo reconstruction model including the estimated motion fields and TGV sparse constraint. Since motion fields is critical in iMoCo algorithm, errors in motion estimation would deteriorate the final reconstructed image. In this study, we improved the performance of iMoCo through (1) reconstructing the full resolution dynamic images for motion estimation, (2) estimating motion fields through nonrigid group-wise registration, and (3) using a motion state weighted iMoCo reconstruction model. Residual streaking artifacts and certain image blurring were suppressed using the proposed algorithm in comparison with the original iMoCo. |
| 3233 | Free-Breathing 3D MRI: T2*, Inspiration/Expiration Lung Volume, and Pulmonary Vasculature | |
| Vadim Malis1, Won Bae1, Asako Yamamoto1, Yoshimori Kassai2, Andrew Yen1, Susan Hopkins1, Yoshiharu Ohno3, and Mitsue Miyazaki1 | ||
1Radiology, UC San Diego, San Diego, CA, United States, 2Canon Medical, Tochigi, Japan, 3Radiology, Fujita Health University, Toyoake, Japan |
||
We have developed both the acquisition methodology and post-processing algorithms for 3D volume MRI. Using 3D MRI, T2*, lung volume changes between inspiration and expiration as a measure of regional specific ventilation (δV/V0), and pulmonary vasculature can be obtained using 3D ultra-short TE (UTE) imaging during free breathing. |
| 3234 | Population Arterial Input Function for Lung Perfusion Imaging | |
| Marta Tibiletti1, Jo Naish1,2, John C Waterton1,3, Paul JC Hughes4, James A Eaden4, Jim M Wild4, and Geoff JM Parker1,5 | ||
1Bioxydyn Ltd, Manchester, United Kingdom, 2MCMR, Manchester University NHS Foundation Trust, Manchester, United Kingdom, 3Centre for Imaging Sciences,, University of Manchester, Manchester, United Kingdom, 4POLARIS, Imaging Sciences, Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom, 5Centre for Medical Image Computing, University College London, London, United Kingdom |
||
In this work, we explore the possibility of extracting a population Arterial Input Function (AIF) to be used in the quantification of lung perfusion using T1-weighted contrast agent-based perfusion imaging. The population AIF averages the shape of first pass of the CA bolus at high temporal resolution in the pulmonary arteries from 90 scans acquired in 50 patients with interstitial lung disease. The population AIF is then scaled by the patient weight. The results of the analysis using a measured AIF and the population AIF are compared. |
| 3235 | Lung Imaging with Tiny Golden Angle UTE in Mice | |
| Anke Balasch1, Hao Li2, Patrick Metze1, Alireza Abaei2, and Volker Rasche1 | ||
1Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany, Ulm, Germany, 2Core Facility Small Animal Imaging (CF-SANI), Ulm University, Ulm, Germany, Ulm, Germany |
||
Lung imaging in small animals is particular difficult due to small anatomy dimensions, high respiratory and heart rate and the very short T2* value in high magnetic fields. A 2D tiny golden angle UTE sequence was tested in free-breathing healthy mice to generate high quality lung images. The functional ventilation and proton density was evaluated. |
| 3236 | Functional lung imaging with SENCEFUL using a 2D radial UTE-sequence at different echo times | |
| Anne Slawig1, Andreas Max Weng1, Bernhard Petritsch1, Simon Veldhoen1, and Herbert Köstler1 | ||
1Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany |
||
MR imaging of the lung is a challenge due to the low proton density in lung parenchyma and the very short relaxation times. To overcome low signal and SNR problems UTE-sequences have successfully been applied to lung imaging. Here, the benefit of a 2D UTE-acquisition for the determination of ventilation and perfusion, as determined by SENCEFUL-MRI, is evaluated. It is shown that SENCEFUL-MRI clearly benefits from the use of a UTE-sequence. |
| 3237 | Free Breathing Phase-Resolved Lung Imaging Using a 3D UTE Cones Sequence with Randomized Encoding | |
| Ya-Jun Ma1, Michael Carl2, Hyungseok Jang1, Saeed Jerban1, Eric Y Chang1,3, Seth Kligerman1, and Jiang Du1 | ||
1UC San Diego, San Diego, CA, United States, 2GE Healthcare, San Diego, CA, United States, 3VA Health system, San Diego, CA, United States |
||
MR imaging of lung is challenging due to its short T2* and low proton density. In this study, we proposed a free breathing phase-resolved lung imaging technique using a 3D UTE sequence with an efficient Cones trajectory. Five different respiration phases were resolved using a self-navigator technique, and the corresponding lung images were reconstructed with a combined parallel imaging and compressed sensing algorithm. Small pulmonary vessels were well-displayed in these images. |
| 3238 | Free-breathing oxygen-enhanced pulmonary imaging with self-gated stack-of-spirals ultra-short echo time sequence at 0.55T | |
| Ahsan Javed1, Rajiv Ramasawmy1, Pan Su2, Thomas Benkert3, Waqas Majeed2, and Adrienne E Campbell-Washburn1 | ||
1Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States, 2Siemens Medical Solutions USA Inc., Malvern, PA, United States, 3Siemens Healthcare GmbH, Erlangen, Germany |
||
Recently, low-field MRI has been shown to improve the sensitivity of oxygen-enhanced (OE) MRI due to the increased relaxivity of oxygen at lower field strengths. In this work, we demonstrate that using self-gated 3D stack-of-spiral OE-MRI we can further improve the sensitivity and repeatability by: 1) using longer free-breathing acquisitions to increase the signal to noise ratio (SNR) of the acquired images, and 2) improving the consistency of respiratory position between two oxygen states. We also demonstrate that these two improvements give us higher temporal SNR which is a measure of sensitivity in quantitative MRI. |
| 3239 | Pulmonary Ventilation Analysis Using 1H Ultra-Short Echo Time (UTE) Lung MRI: A Reproducibility Study | |
| Fei Tan1, Xucheng Zhu2, and Peder E.Z. Larson1,3 | ||
1Bioengineering, UC Berkeley - UCSF, San Francisco, CA, United States, 2GE Healthcare, Menlo Park, CA, United States, 3Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States |
||
In this abstract, we conducted a reproducibility study on the Jacobian determinant-based regional ventilation quantification of 1H phase-resolved ultrashort-echo (UTE) lung MRI. We evaluated its feasibility on five healthy adult volunteers and the influence of three registration approaches, cyclic registration, multi-b-spline, and symmetric image normalization (SyN). Regional ventilation maps of two scans, split violin plots of each individual’s regional ventilation distribution, within-subject coefficient of variation, and Bland-Altman plot and linear regression of total ventilation are presented. We demonstrated that Jacobian determinant ventilation quantification and the registration methods are reproducible and may be applied to patient studies in the future. |
| 3240 | Perfusion evaluation in small animal with 2D tiny golden angle UTE | |
| Anke Balasch1, Hao Li2, Patrick Metze1, Alireza Abaei2, and Volker Rasche1 | ||
1Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany, Ulm, Germany, 2Core Facility Small Animal Imaging (CF-SANI), Ulm University, Ulm, Germany, Ulm, Germany |
||
In this study, a two dimensional ultra-short echo-time technique was combined with tiny golden angle angular ordering for investigating its feasibility of qualitative assessment of contrast agent dynamics in the lungs after systemic injection. |
| 3241 | Feasibility of free-breathing 3D isotropic whole-lung zero echo time imaging | |
| Yu Deng1, Qiuxi Lin2, Xinchun Li2, Weiyin Vivian Liu3, Lei Zhang4, Qi Wan2, and Chongpeng Sun2 | ||
1Radiology, The first affiliated hospital of Guangzhou Medical University, Guangzhou, China, 2The first affiliated hospital of Guangzhou Medical University, Guangzhou, China, 3MR Research, GE Healthcare, Beijing, China, 4GE Healthcare, Beijing, China |
||
The study assessed the feasibility and image quality of free-breathing 3D isotropic whole-lung zero echo time (ZTE) imaging. The overall image quality of the lung in most healthy subjects was good to excellent. The visibility of pulmonary arteries (up to the 7th generation) was better than the bronchi (up to the 5th generation). The demonstration of fissures was poor. In addition, one volunteer with azygos fissure was discovered in our study, which encourage us promote ZTE as a routine lung examination tool. The whole lung ZTE with free-breathing is feasible and can serve as an alternative method of chest imaging. |
| 3242 | Breathhold vs. free-breathing tyGA SoS for Lung Imaging | |
| Anke Balasch1, Patrick Metze1, Kilian Stumpf1, Meinrad Beer2, Wolfgang Rottbauer1, and Volker Rasche1 | ||
1Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany, Ulm, Germany, 2Department of Radiology, Ulm University Medical Centre, Ulm, Germany, Ulm, Germany |
||
Lung MRI is challenging due to the short T2* and respiratory and cardiac motion. In this study an UTE stack-of-stars sequence has been combined with tiny golden angle (tyGA SoS) for imaging of lung morphology (proton fraction, PF) and function (fractional ventilation, FV). Application of the techniques to smoker and non-smokers revealed significant differences in the PF thus indicating its sensitivity. |
| 3243 | Pulmonary functional MR imaging with simultaneous multiple-breath washout tests | |
| Anne-Christianne Kentgens1, Kathryn Ramsey1, Grzegorz Bauman2,3, Francesco Santini2,3, Christoph Corin Willers1, Philipp Latzin1, Oliver Bieri2,3, and Orso Pusterla2,3,4 | ||
1Division of Respiratory Medicine, Department of Pediatrics, Inselspital, University of Bern, Bern, Switzerland, 2Division of Radiological Physics, University Hospital Basel, Basel, Switzerland, 3Department of Biomedical Engineering, University Hospital Basel, Basel, Switzerland, 4Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland |
||
Simultaneous acquisition of oxygen-enhanced MRI and Multiple Breath Washout (MBW) testing is an unexplored and innovative methodology for lung function assessment. Until date, these techniques have been conducted separately. Combined use provides complementary and simultaneous information on pulmonary ventilation, diffusion and perfusion, and has several advantages compared to separate measurements. In this study, we performed oxygen-enhanced relaxometry and non-contrast enhanced ventilation and perfusion mapping using matrix pencil MRI, simultaneously with the MBW. |
| 3244 | Quantitative Evaluation of Self-Gating and nonuniform self-gating for highly irregular respiratory patterns | |
| Patrick Metze1, Tobias Speidel1, Fabian Straubmüller1, and Volker Rasche1,2 | ||
1Internal Medicine II, Ulm University Medical Center, Ulm, Germany, 2Core Facility Small Animal Imaging (CF-SANI), Ulm University, Ulm, Germany |
||
In this work we evaluate the proposed nonuniform self-gating (nuSG) method for lung imaging in highly irregular respiratory patterns and compare its performance to image-based and k-space-based gating methods and to a breath-hold reference. Functional parameters (proton fraction, fractional ventilation) and image sharpness are evaluated, with the nuSG algorithm showing a superior performance in case of fractional ventilation and image sharpness. In more uniform motion patterns its performance is similar to image-based SG and both techniques outperform k-space based gating. |
| 3677 | Effect of encoding time on diffusion data in porous media | |
| George Hutchinson1 and Penny Gowland1 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom |
||
Diffusion weighted imaging can be used as a marker of altered blood flow through the compromised placenta as the structure of villi is known to change. Probing the size of the intervillous space could provide a useful clinical marker of abnormal development. Here we investigate and demonstrate the effect of changing the encoding time of flow measurements through a porous media, and its ability to provide more information about villous structure. |
| 3678 | Comparing the analysis of diffusion data from the placenta with a biexponential Intravoxel incoherent motion model and an Inverse Laplace | |
| George Hutchinson1 and Penny Gowland1 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom |
||
Analysing diffusion data from the placenta using with biexponential Intravoxel incoherent motion model and an Inverse Laplace approach gave similar final measures for the IVIM fraction and Kurtosis but not for D. |
| 3679 | Functional evaluation of placenta with fetal growth restriction based on mDixon-Quant imaging | |
| Jie Li1, Xiao Ling1, Tao Wen1, Rui Wang1, Zhongping Zhang2, Kai Ai3, and Jing Zhang1 | ||
1Lanzhou University second hospital, Lanzhou, China, 2Philips Healthcare, Guangzhou, China, 3Philips Healthcare, Xi'an, China |
||
Estimating placental function is highly desirable, as impaired placental function is associated with FGR and poor neonatal outcome. This study evaluated variations of T2* after oxygen inhalation of 8 pregnant women in the second and third trimesters using quantitative mDixon-Quant imaging. The hyperoxic T2* after oxygen inhalation was significantly higher than baseline T2* which defined as before oxygen inhalation. The change of baseline T2* and hyperoxic T2* was significantly negative correlated with gestational age. The result showed that |△T2*| was correlated with placental function. We speculate T2* based mDixon-Quant imaging is useful in noninvasive assessment of placental function. |
| 3680 | Diffusion-weighted Imaging of Cervical Cancer Using Reduced-field-of-view, Readout-segmented, and Single-shot Echo-planar Imaging at 3T | |
| Zhijun Ye1, Gang Ning1, Xuesheng Li2, Qing Li3, Haibo Qu1, and Thomas Benkert4 | ||
1West China Second University Hospital, Chengdu, China, 2West China Sencond University Hospital, Chengdu, China, 3MR Collaboration, Siemens Healthcare Ltd., Shanghai, China, 4MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
||
This study explored and compared the performance of reduced-FOV diffusion-weighted imaging (rFOV DWI), readout-segmented echo-planar-imaging (rs-EPI) DWI, and conventional single-shot (ss)-EPI DWI techniques for diagnosis of cervical cancer. Image quality was assessed by two radiologists; rFOV DWI and rs-EPI DWI achieved significantly better image quality and clinical utility at both b=50 s/mm2 and b=1000 s/mm2 compared with ss-EPI DWI, and rFOV DWI outperformed rs-EPI DWI in terms of artifacts, overall image quality, and clinical utility. |
| 3681 | Predictive Ki-67 proliferation index of cervical squamous cell carcinoma based on IVIM-DWI combined with texture features | |
| Cuiping Li1 and Jiangning Dong2 | ||
1Radiology Department, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science, Hefei, China, 2The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China |
||
As the most common histological type in cervical cancer, cervical squamous cell carcinoma (CSCC) mainly affects young women, and most of whom are diagnosed between 35-50 years old. In recent years, studies on tumor biomarkers have continuously increased, Ki-67 was considered as a kind of nuclear protein related to cell proliferation, some previous studies have shown that Ki-67 proliferation index (PI) is positively correlated with tumor size, invasion, cancer stage and patient survival. In our study work, we investigated the prediction of Ki-67 PI through combining intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) with texture analysis (TA) for CSCC patients. |
| 3682 | Prediction of pretherapeutic differentiation degree of cervical cancer using DCE-MRI radiomics model | |
| Ting-ting Lin1 and Jiang-ning Dong2 | ||
1Radiology Department, Anhui Provincial Cancer Hospital, Hefei, China, 2Radiology department, Anhui Provincial Cancer Hospital, Hefei, China |
||
The aim of the study was to explore the value of radiomics features based on DCE-MRI in Predicting the differentiation degree of cervical cancer before treatment. 97 patients pathologically confirmed cervical cancer from March 2017 to December 2018 were enrolled in this study. The conclusion of radiomics features based on DCE-MRI have good repeatability and are of high value for predicting pre-treatment differentiation of cervical cancer was obtained via the present study. |
| 3683 | Application of the quantitative parameter of diffusion tensor imaging in differential diagnosis of endometrial carcinoma and endometrial polyp | |
| Xing Meng1, Ailian Liu1, Shifeng Tian1, and Qingwei Song1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China |
||
Diffusion tensor imaging (DTI), as a kind of MR functional imaging, can reflect the direction and free diffusion rate of the diffusion motion of water molecules in voxel. This study intends to investigate the value of endometrial polyp (EP) and endometrial carcinoma (EC) based on quantitative parameters of DTI, in order to improve the accuracy of diagnosis of the two diseases before treatment. |
| 3684 | Quantitative parameters of DTI predicting microsatellite instability in endometrial carcinoma | |
| Yuan Wei1, Shifeng Tian1, and Ailian Liu1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, China, Dalian City, China, China |
||
Diffusion tensor imaging (DTI) is a functional imaging technology improved and developed on the basis of DWI technology. It reflects the changes of free diffusion rate and direction of water molecules caused by different structures in living tissues. It can obtain multiple quantitative parameters through post-processing. There is no report on the evaluation of endometrial carcinoma (EC) microsatellite instability (MSI) status by DTI quantitative parameters. Results shown that multiple quantitative parameters of DTI were different between MSI and microsatellite stability (MSS) of EC, therefore, it is feasible to use DTI for predicting MSI of EC. |
| 3685 | Value of Radiomics Approach Based on ADC Maps in Identifying the Pathologic Grade of Endometrioid Endometrial Adenocarcinoma | |
| Dahua Cui1, Ailian Liu1, Yan Guo2, Shifeng Tian1, and Qingwei Song1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE Healthcare, Shanghai, Shenyang, China |
||
The aim of the study is to explore the value of radiomics approach based on apparent diffusion coefficient (ADC) maps in identifying the pathologic grade of Endometrioid Endometrial Adenocarcinoma (EEA). The AUC of the logistic model based on ADC maps in the testing set was 0.840, sensitivity of 80.0%, specificity of 75.0% and accuracy of 77.5%. The radiomics based on ADC maps has shown a promising identification potential in the pathologic grade of EEA. |
| 3686 | Diffusion Properties of Ovaries in Pre-Menopausal Women Using a Bi-Exponential Model | |
| Ana E Rodríguez-Soto1, Star K Huynh2, Claire H Meriwether3, Nawal Siddiqui3, Roshan Karunamuni3, Anders M Dale1, and Rebecca A Rakow-Penner3 | ||
1Radiology, University of California San Diego, La Jolla, CA, United States, 2School of Medicine, University of California San Diego, La Jolla, CA, United States, 3University of California San Diego, La Jolla, CA, United States |
||
Ovarian cancer has a high mortality rate as it is commonly diagnosed in advanced stages. Diffusion weighted imaging (DWI) has shown great promise in detecting cancer in multiple other organs. However, the diffusion characteristics of premenopausal ovaries are difficult to differentiate from malignancies with standard diffusion techniques. In this work we characterized the diffusion properties of ovaries in a group of young women to inform the acquisition and post-processing of DWI to improve ovarian cancer diagnosis. |
| 3687 | A Pilot Evaluation of Intravoxel Incoherent Motion (IVIM) in Characteristics and Diagnosis of Ovarian cancer of p53 status | |
| Yulin Chen1, Ye Li1, li Liu1, Xinliu He1, Xulun Lu1, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, Dalian, China |
||
The identification and treatment of ovarian cancer(OC) has always been a problem that plagues us[1]. This worked aimed at exploring the value of Intravoxel incoherent motion (IVIM) quantitative parameters for diagnosis of P53 positive OC. In contrast, P53 positive and negative OC have large differences in stand ADC values in IVIM. |
| 3688 | The value of R2* in evaluating aggressiveness of ovarian tumors. | |
| Wenjun HU1, Ailian Liu1, Ye Li1, and Qingwei Song1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China |
||
The aggressiveness level of ovarian tumor is of great importance for clinical treatment and prognosis. The purpose of this study is to explore the value of R2 * in evaluating the aggressiveness of ovarian tumors. The preliminary results showed that the R2 * value of malignant tumors was significantly higher than benign and borderline tumors. R2* is potentially a promising and valuable non-invasive method in evaluating the aggressiveness of ovarian tumors. |
| 3689 | A preliminary exploration using imaging methods to predict the possibility of the recurrence of serous ovarian cancer undergoing total resection | |
| Fang Mengshi1 and Dong Jiangning2 | ||
1Radiology, Anhui Provincial Cancer Hospital, Hefei, China, 2Anhui Provincial Cancer Hospital, Hefei, China |
||
The purpose of our research was to define the possibility of the use of imaging methods to analyze and predict the recent recurrence of ovarian serous carcinoma, with the ultimate hope of helping clinicians to plan more suitable treatments. In our study, in CT and MRI examinations before surgery, peritoneal implantation metastasis and Ki67 PI are suggestive of the possibility of the recurrence of serous ovarian carcinoma in the near future, but other imaging indexes show no obvious value for indicating the possibility of recurrence. |
| 3690 | Quantitative pelvic organ mobility assessment in supine and upright position for assessment of pelvic organ prolapse | |
| Lisan M. Morsinkhof1, Jean-Francois Witz2, Olivier Mayeur2, Anique T.M. Grob3, Frank F.J. Simonis1, and Pauline Lecomte-Grosbras2 | ||
1Magnetic Detection & Imaging, TechMed Centre, University of Twente, Enschede, Netherlands, 2Laboratoire de mécanique multiphysique multiéchelle, Université de Lille, CNRS, Centrale Lille, Lille, France, 3Multi-Modality Medical Imaging, TechMed Centre, University of Twente, Enschede, Netherlands |
||
Quantitative pelvic organ mobility assessment provides fundamental insight into pelvic organ prolapse (POP). However, this is currently only performed in supine position. In this case study the assessment is performed both in supine and upright position using a tiltable MRI scanner. The displacement of the cervix during contraction is larger in upright than in supine position. During straining the displacement in supine position is 15-20 mm whereas in upright position hardly any displacement occurs. This may indicate that, in upright position, the cervix already reaches its maximum extent at rest. Upright mobility assessment seems to give supplementary information in POP. |
| 3691 | Upright MR imaging of daily variations in pelvic organ position for assessment of pelvic organ prolapse | |
| Lisan M. Morsinkhof1, Anique T.M. Grob2, Angelique L. Veenstra van Nieuwenhoven3, and Frank F.J. Simonis1 | ||
1Magnetic Detection & Imaging, TechMed Centre, University of Twente, Enschede, Netherlands, 2Multi-Modality Medical Imaging, TechMed Centre, University of Twente, Enschede, Netherlands, 3Department of Gynecology, Ziekenhuisgroep Twente, Almelo/Hengelo, Netherlands |
||
The choice of treatment for pelvic organ prolapse (POP) depends on determining its maximal extent but this might be subject to daily variations. This study uses upright MRI to determine if pelvic organs descend during the day and to make a comparison between women with and without symptomatic POP. For now, only women without POP were scanned three times during one day in supine and upright position. On average the cervix descended during the day and this effect was larger in upright position. A similar effect is expected in patients making the time of staging POP clinically relevant. |
| 3692 | The relationship between pubic and levator ani muscle injury among primiparas after vaginal delivery：A pelvic floor MRI study | |
| Yujiao Zhao1, wen shen2, and cheng zhang2 | ||
1Tianjin first central hospital, tianjin, China, 2Tianjin first central hospital, Tianjin, China |
||
To explore the relationship between pubic injury and levator anal muscle(LAM) injury among primiparas after vaginal delivery. 88 primiparas after vaginal delivery were collected in our study. Two radiologists identified and evaluated the injury condition of pubic and LAM on MR images. The proportion of LAM injury was significantly higher in the pubic injury group than that of in the non-pubic injury group, and the degree of pubic injury was positively correlated with the degree of LAM injury. |
| 3871 | Grading of Cervical Cancer by Quantitative Maps from Synthetic MRI | |
| Xiao-Li Song1, Jialiang Ren2, Kaiyu Wang3, and Bing Wu3 | ||
1The Second Hospital of Shanxi Medical School, Taiyuan, China, 2GE Healthcare, Beijing, China, 3GE Healthcare, MR Research China, Beijing, China |
||
Cervical cancer remains the most common gynecological cancers. Histological subtype and grade of differentiation determines the course of the disease, the therapeutic outcome and survival of patient. Low-grade cervical cancers are associated with more favorable outcomes and lower tumor recurrence rates when compared to the high-grade cervical cancers.The multiple quantitative maps derived from synthetic magnetic resonance imaging (MRI) might have potential applications in describing the characteristics of cervical cancer. |
| 3872 | Quantitative Synthetic T1 and T2 Mapping in the Characterization of Cervical Squamous Cell Carcinoma | |
| Mandi Wang1, Yiang Wang1, Chia-Wei Lee2, Chien-Yuan Lin2, and Elaine Y.P. Lee1 | ||
1The University of Hong Kong, Hong Kong, Hong Kong, 2GE Healthcare, Taipei, Taiwan |
||
T1 and T2 relaxation mapping of tissues could provide valuable information for pathologic characterization but is limited by long scan time and consequently hampered routine clinical integration. This study aimed to investigate the ability of T1 and T2 values derived from synthetic technique dubbed MAGnetic resonance image Compilation (MAGiC) in the characterization of cervical squamous cell carcinoma (SCC). Mean T2 value was significantly higher in FIGO stage III~IV than FIGO stage I~II which demonstrated that T2 value could be a potential imaging biomarker for FIGO staging in SCC. |
| 3873 | Uterine cervical adenocarcinomas associated with lobular endocervical glandular hyperplasia: MR imaging manifestations | |
| Mayumi Takeuchi1, Kenji Matsuzaki2, and Masafumi Harada1 | ||
1Department of Radiology, Tokushima University, Tokushima, Japan, 2Department of Radiological Technology, Tokushima Bunri University, Sanuki, Japan |
||
Lobular endocervical glandular hyperplasia (LEGH) is considered as a precursor lesion of cervical adenocarcinomas with poor prognosis, and early diagnosis on MRI is important. MRI of 9 LEGH-associated adenocarcinomas (LEGH-ACs) and 10 LEGHs were retrospectively evaluated. Both LEGH-AC and LEGH appeared as multicystic masses with solid components. 4 of 9 LEGH-ACs (44%) showed diffusion restriction, whereas 5 of 9 LEGH-ACs (56%) and all LEGHs showed no diffusion restriction. On DCE-MRI, 4 of 4 LEGH-ACs (100%) and 2 of 6 LEGHs (33%) showed rapid and prolonged contrast-enhancement pattern, whereas 4 of 6 LEGHs (66%) showed gradual contrast-enhancement pattern suggesting their benignity. |
| 3874 | A combination analysis of IVIM-DWI biomarkers and T2WI-based texture features for tumor differentiation of cervical squamous cell carcinoma | |
| Bin Shi1 and Jiang-Ning Dong1 | ||
1The First Affiliated Hospital of USTC, Anhui Provincial Cancer Hospital, Hefei, China |
||
The study aimed to explore the diagnostic value of IVIM-DWI and texture analysis on T2WI for the tumor differentiation grade of cervical squamous cell carcinoma. Finally, we carried out a combined analysis of IVIM-DWI and T2WI-based texture analysis for four compared groups, the AUC of these regression model for four comparison was 0.797, 0.954, 0.795, 0.952, respectively; better than each parameters of IVIM-DWI and texture features alone (0.503~0.684, 0.547~0.805, 0.511~0.712, 0.636~0.792, respectively). Thus, the combination of IVIM-DWI biomarkers and texture features based on tumorous heterogeneity could develop a novel predictive paradigm for the formulation of operation or radiation therapy. |
| 3875 | The feasibility of reduced field-of-view DWI in evaluating bladder invasion of uterine cervical cancer | |
| Mayumi Takeuchi1, Kenji Matsuzaki2, and Masafumi Harada1 | ||
1Department of Radiology, Tokushima University, Tokushima, Japan, 2Department of Radiological Technology, Tokushima Bunri University, Sanuki, Japan |
||
Uterine cervical cancer with urinary bladder invasion is classified as stage IVA with poor prognosis. Cystoscopy is a diagnostic procedure but relatively invasive examination. MRI can rule out the bladder invasion and skipping cystoscopy may be possible, however, high false positive rate may be problematic. The bladder mucosal invasion in 14 cases was evaluated with reduced FOV DWI (rFOV-DWI) and compared with cystoscopic findings. The diagnosis of invasion had a sensitivity of 100%, specificity of 50%, accuracy of 93%, PPV of 92%, and NPV of 100%. Addition of rFOV-DWI may improve the staging accuracy in assessing the bladder mucosal invasion. |
| 3876 | Some texture features from ADC map show both significance with histological findings and good reproducibility in uterine endometrial lesions | |
| Masamitsu Hatakenaka1, Makoto Nozaki1, and Koichi Onodera1 | ||
1Diagnostic Radiology, Sapporo Medical University, Sapporo, Japan |
||
Some texture features from ADC map show both significant correlation with histology (benign vs. malignant), lymph node metastasis and myometrial invasion (<1/2 vs. >1/2), acceptable AUC (>0.7) and high data reproducibility (ICC>0.8) in uterine endometrial lesions. |
| 3877 | Improved accuracy of differential diagnosis of endometrial carcinoma and endometrial polyp combined with APTw and IVIM MR imaging | |
| Xing Meng1, Ailian Liu1, Shifeng Tian1, Qinhe Zhang1, Qingwei Song1, and Jiazheng Wang2 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
||
Accurate differential diagnosis of endometrial carcinoma (EC) and endometrial polyp (EP) determines the choice of surgical methods. Recent studies have separately applied Amide proton transfer (APT) and Intra-voxel-incoherent-motion (IVIM) imaging in diagnosing female pelvic system diseases including cervical carcinoma (CC) and EC. In this study, we investigated the combination of APTw and IVIM for differential diagnosis of EC and EP. The Results suggested that the combination of APTw and IVIM effectively aids in differentiating EC from EP. |
| 3878 | The feasibility of the combination of APT and DCE in preoperative risk assessment of endometrial carcinoma | |
| Ye Li1, Shifeng Tian1, Ailian Liu1, Jiazheng Wang2, and Peng Sun2 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijin, China |
||
Preoperative risk assessment of endometrial carcinoma (EC) is crucial to therapy planning. The present study explores the feasibility of the combination of APT and DCE in preoperative risk assessment of endometrial carcinoma. Compared with low-risk EC, the APT values and volume transfer constant (Ktrans) derived from DCE in high-risk EC increased significantly. Our results suggest that both APT and Ktrans can differentiate high-risk EC and low-risk EC. However, a combination of APT and DCE does not improve the AUC statistically significantly. |
| 3879 | The value of GRASP DCE-MRI for the differentiation between benign and malignant endometrium lesions | |
| yaling wang1, Zhongshuai Zhang2, Yuancheng Wang1, and Shenghong Ju1 | ||
1Zhongda Hospital，School of Medicine，Southeast University, NanJing, China, 2SIEMENS Healthcare, Shanghai, China |
||
This prospective study aimed to investigate the value of GRASP（Golden-angle RAdial Sparse Parallel）on dynamic gadolinium-enhanced T1-weighted MRI (DCE-MRI) for the differentiation between benign and malignant lesions of endometrium on 88 patients. The results showed that the quantitative parameters include Kep and Ve of DCE-MRI have statistically significant difference between the benign and malignant endometrium lesions |
| 3880
|
Prediction Model for Histological Grade of Endometrioid Adenocarcinoma: Based on Amide Proton Transfer-weighted Imaging and Multimodel DWI | |
| Nan Meng1, Zhun Huang2, Pengyang Feng2, Ting Fang1, Fangfang Fu1, Yaping Wu1, Wei Wei1, Xuejia Wang3, Kaiyu Wang4, and Meiyun Wang*1 | ||
1Department of Radiology, Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 2Department of Radiology, Henan University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 3Department of MRI, The First Affiliated Hospital of Xinxiang Medical University,, Weihui, China, 4GE Healthcare, MR Research China, BeiJing, China |
||
Our results showed that both multimodel DWI and APTWI can estimate the histological grade and Ki-67 index of endometrial adenocarcinoma (EA), and the combination of a high MTRasym(3.5 ppm) and low D may be an effective imaging marker for predicting the grade of EA. |
| 3881 | Correlation between Ki67 expression and Intraventricular incoherent motion (IVIM) in ovarian cancer | |
| Xinliu He1, Yulin Chen1, Li Liu1, Ye Li1, Qingwei Song1, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China |
||
Ki-67 is one of the prognostic marker which determines the growth fraction of a tumour and its over expression is associated with malignancy, tumour aggression, reserved prognosis and metastasis. This worked aimed at exploring the correlation of Intravoxel incoherent motion (IVIM) quantitative parameters with ki-67 expression level in ovarian cancer. The results proved that there are correlation between D value and Ki-67 gene expression in ovarian cancer, P value is 0.039 and the r value is -0.454. |
| 3882 | Evaluation of R2* and automatically quantitative ITSS in diagnosis of malignant ovarian tumor. | |
| Wenjun JUN Hu1, Ailian Liu1, Ye Li1, Hongkai Wang2, Mingrui Zhuang2, and Qingwei Song1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Dalian University of Technology, Dalian, China |
||
Malignant ovarian tumor is characterized of high incidence, poor treatment outcomes and high treatment costs. The aim of this study was to explore the value of R2* and automatically quantitative ITSS in differentiating malignant ovarian tumor (MOTs) from other ovarian tumors (OOTs). Results of this study indicate the ITSS and R2* values of MOTs were significantly higher than those of OOTs. The combination of the two parameters can improve the differential diagnosis efficiency. |
| 3883 | Multi-parametric functional and structural assessment of the placenta at late gestational ages using MRI | |
| Daphna Link1, Netanell Avisdris1,2, Xingfeng Shao3, Liat Ben-Sira4,5, Leo Joskowicz2, Ilan Gull6, Danny J.J Wang3, and Dafna Ben-Bashat1,5 | ||
1Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 2School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel, 3Laboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 4Division of Pediatric Radiology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 5Sackler Faculty of Medicine & Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 6Ultrasound Unit, Lis Maternity Hospital, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel |
||
Early and accurate placental insufficiency assessment is of a great importance. Here we comprehensively assessed placental perfusion and structure, and fetal brain and body volumes, in normal fetuses and in cases with fetal growth restriction (FGR) caused by placental insufficiency, at late gestational ages (GA=31-34 weeks). Increased Placental Blood Flow and Arterial Transit Time were detected in normal cases compared to earlier GA reported previously. Significant differences were found in several placental and fetal characteristics between normal and FGR cases. This study emphasizes the importance of multi-parametric assessment of fetuses to enable identification of high risks for FGR. |
| 3884 | Use of intravoxel incoherent motion MRI to assess placental perfusion in normal and Fetal Growth Restricted pregnancies on their third trimester | |
| liu xilong1, Feng jie1, Huang chantao1, Mei Yingjie2, and xu yikai1 | ||
1Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guang Zhou, China, 2Clinical science, Philips Healthcare, Guangzhou, China |
||
Early diagnosis of FGR is vitally important for the management of pregnancy and delivery planned accordingly. IVIM MRI is a non-invasive, in vivo techniques which can assess placental perfusion quantitatively, and be useful for evaluating placental microcirculation. In this study, the IVIM parameters of placental was measured and to investigate whether FGR pregnancies have different placental perfusion compared with normal pergnancies. The results show that perfusion fraction (f) have a significantly lower in FGR group. And f value moderately incresased with increasing gestational age in normal pregnancies. |
| 3885 | Longitudinal Study on Early Gestation T2*-based BOLD effect in Human Placenta | |
| Ruiming Chen1, Ante Zhu2, Jitka Starekova3, Daniel Seiter1, Kevin M. Johnson1,3, Scott B. Reeder1,3,4,5,6, Dinesh M. Shah7, Oliver Wieben1,3, and Diego Hernando1,3,4,8 | ||
1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2GE Global Research, Niskayuna, NY, United States, 3Radiology, University of Wisconsin - Madison, Madison, WI, United States, 4Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States, 5Medicine, University of Wisconsin - Madison, Madison, WI, United States, 6Emergency Medicine, University of Wisconsin - Madison, Madison, WI, United States, 7Obstetrics and Gynecology, University of Wisconsin - Madison, Madison, WI, United States, 8Electrical and Computer Engineering, University of Wisconsin - Madison, Madison, WI, United States |
||
Maternal obesity is associated with negative pregnancy outcomes, potentially due to insufficient placental flow and oxygen delivery. Blood oxygen level-dependent (BOLD) based T2* measurements are associated with oxygenation and have shown to provide assessment of placental function. Here, we report placental T2* values in a cohort of 70 obese and non-obese subjects with normal and adverse gestational outcomes. Results show variation of T2* histograms between normal subjects and subjects with pregnancy complications at both 14 and 20 weeks, whereas no significant median T2* value differences were observed in between non-obese and obese groups. |
| 3886 | Effects of Life-Long Western Diet Consumption on Fetal and Maternal Guinea Pig Body Composition at Mid-Gestation | |
| Lindsay E Morris1, Flavien Delhaes2, Lanette Friesen Waldner1, Trevor Wade1, Lauren M Smith1, Mary-Ellen ET Empey1, Simran Sethi1, Timothy RH Regnault2,3,4, and Charles A McKenzie1,4 | ||
1Medical Biophysics, Western University, London, ON, Canada, 2Physiology and Pharmacology, Western University, London, ON, Canada, 3Obstetrics and Gynaecology, Western University, London, ON, Canada, 4Division of Maternal, Fetal and Newborn Health, Children's Health Research Institute, London, ON, Canada |
||
Effects of a life-long high fat and high sugar diet (Western diet: WD) in ~38-day gestation guinea pigs. Pregnant life-long WD or control diet (CD) fed sows underwent T1-weighted and IDEAL water-fat images on a 3T MRI at mid gestation. Regions of interest were segmented around key volumes. The maternal liver volume and median fat fraction were significantly higher in WD relative to CD sows while measures of other fat depots were unaltered between diet groups. The fetal and placental volumes were not significantly different between the diet groups. This research expands our understanding of metabolically unhealthy pregnancies. |
| 3887 | Automatic Segmentation and Normal Dataset of Fetal Body from Magnetic Resonance Imaging | |
| Bella Fadida-Specktor1, Dafna Ben Bashat2,3, Daphna Link Sourani2, Netanell Avisdris1,2, Elka Miller4, Liat Ben Sira3,5, and Leo Joskowicz1 | ||
1School of Computer Science and Engineering, The Hebrew University of Jerusalem, Haifa, Israel, 2Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 3Sackler Faculty of Medicine & Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 4Medical Imaging, Children’s Hospital of Eastern Ontario, University of Ottawa, Ottawa, ON, Canada, 5Division of Pediatric Radiology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel |
||
Weight estimation is of great importance in assessing fetal development, yet unavailable in routine fetal MRI. The aim of this study was to develop an automatic fetal body segmentation method and to create a large dataset of volumetric body measurements of normal fetuses. Automatic fetal body segmentation was performed on data obtained from two clinical sites, three MRI systems and two sequences. Using a neural network trained for each sequence, high performance was achieved for both of them. A database of normal fetal volumes with a wide range of gestational age was created and was consistent with ultrasound growth chart. |
| 3888 | In vitro validation of a real-time 3D MRI Urodynamics Protocol | |
| Colin Kim1, Cody Johnson1, James Rice2, and Alejandro Roldán-Alzate1 | ||
1Medical Physics and Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, United States |
||
Lower urinary tract symptoms (LUTS) and changes in bladder function occur frequently as individuals age, requiring a non-invasive method of imaging the bladder. This study utilized 3D MRI acquisition on both an in vitro bladder model and an in vivo human subject to analyze deformation patterns during the bladder voiding process and validated results with high-speed optical imaging. Both quantitative and qualitative analyses were conducted. This study serves to discover novel methods of in vivo MRI bladder imaging during the voiding process. |
| 3889 | Preliminary Exploration of Expanding the Target Population of VI-RADS - Could Patients After Treatment Benefit from It? | |
| Bohong Cao1, Qing Li1, Peirong Xu2, Pu-Yeh Wu3, Shuai Jiang2, and Jianjun Zhou1 | ||
1Radiology, Zhongshan Hospital Fudan University, Shanghai, China, 2Urology, Zhongshan Hospital Fudan University, Shanghai, China, 3MR Research, GE Healthcare, MR Research, Beijing, China |
||
In this study, we expanded the target population by including patients after treatment and with recurrent bladder cancer to further evaluate the diagnostic performance of VI-RADS. The diagnostic performances of VI-RADS were good in all subgroups including the primary, post-treatment and recurrence groups (AUC > 0.90). No significant differences were observed in diagnostic efficacy of VI-RADS between the primary group and the post-treatment group, and between the primary group and the recurrence group. Overall, this study demonstrated that VI-RADS can be considered an effective preoperative imaging staging tool for a wider range of bladder cancer patients. |
| 3890 | Combining Volumetric ADC Histogram Analysis with Vesical Imaging Reporting and Data System to Predict the Muscle Invasion of Bladder Cancer | |
| Shichao Li1, Ping Liang1, Yanchun Wang1, Yaqi Shen1, Xuemei Hu1, Daoyu Hu1, Xiaoyan Meng1, and Zhen Li1 | ||
1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China |
||
This study explored the clinical value of volumetric apparent diffusion coefficient (ADC) histogram analysis and Vesical Imaging Reporting and Data System (VI-RADS) in differentiating muscle-invasive bladder cancer (MIBC) from non-muscle-invasive bladder cancer (NMIBC), and demonstrated that both are helpful and the volumetric ADC histogram can provide additional value to VI-RADS. |
| 3891 | Investigation of synthetic MRI applied in the evaluation of tumor grade of bladder cancer | |
| Qian Cai1, Huan jun Wang1, Yi ping Huang1, Long Qian2, Yan Guo1, Zhi hua Wen1, Long yuan Ouyang1, and Mei qin Li1 | ||
1Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China, 2MR Research, GE Healthcare, Beijing, China |
||
The prospective study aims to investigate the value of Synthetic MRI in evaluating the grading of bladder cancer (BCa). A total of 31 patients with pathologically confirmed BCa were enrolled. Regions of interest were manually drawn by two radiologists. Our results indicated that there were significant differences in the mean T2 and PD values between high- and low-grade BCa. The area under the ROC curve of the mean T2 and PD values were 0.761 and 0.880, respectively. Synthetic MRI is helpful for discriminating low- and high-grade BCa. |
| 3892 | Inhibition of Urine Amide Proton Transfer Signal with Optimal Scan Parameters in Bladder Cancer | |
| Bo Dai1, Meiyun Wang 1, Fengshan Yan1, Zhiwei Shen2, Yan Bai1, and Nan Meng1 | ||
1Henan Provincial People's Hospital, Zhengzhou, China, 2Philips healthcare, Beijing, China |
||
In the preliminary experiment, we found that there were hyperintense amide proton transfer weighted (APTw) signal in urine, which may interfere with the contrast of APTw signal in bladder lesion. In this study, we aim to explore the feasibility and features of urine APTw imaging in vitro and in vivo, and inhibite the urine APTw signal for better display of bladder lesions using optimal parameters. |
| 3893 | The change of amide proton transfer (APT) signal intensity (SI) with age in testes of adults: A preliminary study | |
| Wenhao Fu1, Yang Peng1, Guanglei Tang1, Weibo Chen2, Kan Deng3, Zhongping Zhang3, Yingjie Mei3, and Jian Guan1 | ||
1Department of Radiology， the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China, 2Philips Healthcare, Shanghai, China, 3Philips Healthcare, Guangzhou, China |
||
Functional MRI, such as DWI and MTI, have been used to evaluate male infertility. Amide proton transfer (APT) is a novel MRI technique in the level of molecular imaging, which employs the chemical exchange of endogenous amide proton. This study investigated the relationship between amide proton transfer (APT) signal intensity (SI) changes with age in adults. According to the initial results of this research, we found that APT SI of testes was positively correlated age, which suggested that APT could be a potential biomarker for spermatogenic function. |
| 3894 | Improved the performance of differential diagnosis between Prostate Cancer and Benign Prostate Hyperplasia using APT and mDIXON-Quant | |
| Xue Ren1, Ailian Liu1, Lihua Chen1, Shuang Li1, Yue Wang1, Jiazheng Wang2, Qingwei Song1, Sun Peng2, Renwang Pu3, and Yuanfei Li1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China, 3First Affiliated Hospital of Dalian Medical University, Dalian, China |
||
Accurate identifying prostate cancer (PC) from benign prostatic hyperplasia (BPH) is of great significance for timely and proper treatment. Amide proton transfer (APT) is a novel MRI method sensitive to several kinds of cancers. mDIXON-Quant is a powerful quantitive technique for simultaneous fat quantification and R2* mapping, which can reflect the tissue contents and properties. This study aims to assess the diagnostic performance of APT and mDIXON-Quant on differentiating prostate cancers and benign prostate hyperplasia. Results indicate that the combination of APT and mDIXON-Quant can enhance the differential diagnosis of PC and BPH. |
| 3895 | Four Quadrant mapping of Hybrid Multidimensional MRI data for the diagnosis of prostate cancer | |
| Aritrick Chatterjee1,2, Xiaobing Fan1, Aytekin Oto 1,2, and Gregory Karczmar1,2 | ||
1Department of Radiology, University of Chicago, Chicago, IL, United States, 2Sanford J. Grossman Center of Excellence in Prostate Imaging and Image Guided Therapy, Chicago, IL, United States |
||
This study introduces a new quantitative mapping technique referred to as Four Quadrant mapping of Hybrid Multi-dimensional MRI data and evaluates its use for diagnosis of prostate cancer. Each image voxel can be represented as a vector in a 2D plot with components ‘∆T2/∆b’ and ‘∆ADC/∆TE’. Cancers contain a significantly higher percentage of voxels in quadrant 4 (PQ4), and a lower percentage of voxels in quadrant 2 (PQ2), smaller amplitude and angle compared to benign tissue. The quadrant analysis metrics resulted in AUC of 0.893 for differentiation of cancer from benign tissue, and showed moderate correlation with Gleason score (|ρ|=0.38-0.61). |
| 3896 | Assessing the combined effect of bias field correction and intensity normalization of T2w images on prostate tumor probability maps | |
| Stephanie Alley1, Uulke Van der Heide2, Cynthia Ménard3, and Samuel Kadoury1,3 | ||
1Biomedical Engineering, Polytechnique Montréal, Montréal, QC, Canada, 2Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands, 3Centre Hospitalier de l’Université de Montréal, Montréal, QC, Canada |
||
Multi-parametric magnetic resonance imaging has come to play an important role in the diagnosis and treatment of prostate cancer. Despite numerous advances in the acquisition, processing, and analysis of these images, a great deal of variability still exists in the reliability of imaging-based information. In an effort to initialize a framework for standardizing the processing of prostate imaging data, we present a systematic evaluation of the effect that bias field correction and intensity normalization of T2w images have on downstream analyses. We show that this assessment allows us to achieve improved accuracy for tumor localization within the prostate. |
| 3897 | Correlation between T2 mapping and Intravoxel Incoherent Motion in Prostate cancer and Benign prostatic hyperplasia | |
| Nila Mu1, Ailian Liu1, Lihua Chen1, Pengyun Zhang1, Yunsong Liu1, Changjun Ma1, Jiazheng Wang2, Liangjie Lin2, Qingwei Song1, and Renwang Pu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, Dalian, China, 2Philips Healthcare, Beijing, China, Beijing, China |
||
It is difficult to identify prostate tumors and prostate hyperplasia in clinical practice with conventional MR imaging methods. T2mapping is a non-invasive technique, which can analyze the T2 value of the organization quantitatively. In this study, we aimed to evaluate the correlation between T2 mapping and Intravoxel incoherent motion. The results show that T2 values were significantly associated with all parameters of IVIM except fast ADC mono, and have no concern with prostate cancer or benign prostatic hyperplasia. |
| 3898 | Two-stage classifier for detection of high-grade prostate cancer using quantitative MRI and radiomic features | |
| Ethan Leng1, Joseph Koopmeiners2, Lin Zhang2, and Gregory John Metzger1 | ||
1Center for Magnetic Resonance Research, Minneapolis, MN, United States, 2School of Public Health, Division of Biostatistics, University of Minnesota, Minneapolis, MN, United States |
||
It is important to not only identify prostate cancer (PCa) when it is present, but also to determine the aggressiveness of PCa. In this work, we developed a novel two-stage classification model for simultaneous detection of PCa on prostate MRI and localization of aggressive, high-grade PCa, using both quantitative MRI and radiomic features. The first-stage classifier was trained to detect cancer on a voxel-wise basis, and achieved an AUC of 0.818. The second-stage classifier was trained to predict the aggressiveness of candidate regions automatically derived from the voxel-wise predictions of the first stage, and achieved an AUC of 0.779. |
| 3899 | Improved differential diagnosis between Prostate Cancer and Benign Prostate Hyperplasia using APT and IVIM | |
| Lihua Chen1, Ailian Liu1, Pengyun Zhang1, Nila Mu1, Yunsong Liu1, Changjun Ma1, Jiazheng Wang2, Qingwei Song1, and Renwang Pu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
||
It is difficult to differentiate prostate tumors and prostate hyperplasia using conventional MR imaging methods. Amide proton transfer-weighted imaging is a novel MRI imaging tool for detection of amide protons in mobile cellular proteins and peptides. We aimed to evaluate the differential diagnosis of prostate cancers and benign prostatic hyperplasia using APT and IVIM. Results showed that prostate cancers were associated with higher APT values than benign prostate hyperplasia, while diffusion and perfusion parameters of IVIM were lower in prostate cancers. The diagnostic efficiency between prostate cancer and prostatic hyperplasia was higher with combinational use of APT and IVIM parameters. |
| 3900 | Development and validation of radiomics model for diagnosing PCar and BPH based on Diffusion weighted imaging and clinical information | |
| Lihua Chen1, Ailian Liu1, Yan Guo2, and Xin Li2 | ||
1The First Affiliated Hospital of DaLian Medical University, Dalian, China, 2GE Healthcare, China, Beijing, China |
||
DWI might be used as a biomarker for tumor aggressiveness, and various reports have been made on using DWI in distinguishing PCa from BPH. The primary parameter of DWI, ADC must be obtained with a high b value DWI, to limit the perfusion effect. The term radiomics has attracted increased attention in recent years, which was presented by Lambin in 2012. The aim of this study was to establish and evaluate the efficiency of radiomics model in distinguishing PCa from BPH based on DWI sequence and clinical information, and to compare the efficiency of ROI sketched by two different methods. |
| 3901 | The Usefulness of Variable-density Stack-of-Stars Acquisition in Dynamic Gadolinium-Enhanced MRI of Prostate Cancer: A Preliminary Study | |
| Shintaro Horii1, Yoshiko Ueno2, Yuichiro Somia1, Ryuji Shimada1, Keitaro Sofue2, Yasuyo Urase2, Wakiko Tani1, Yu Ueda3, Akiko Kusaka1, and Takamichi Murakami2 | ||
1Center for Radiology and Radiation Oncology, Kobe University Hospital, kobe, Japan, 2Department of Radiology, Kobe University Graduate School of Medicine, Kobe University Hospital, kobe, Japan, 3Philips Japan MR Clinical Science, tokyo, Japan |
||
This study aimed to compare the image quality and the quantitative DCE-MRI parameters using the k-space weighted image contrast reconstruction with variable-density golden angle stack-of-stars acquisition (4D-FB) to those of the conventional 3D-T1W turbo field echo sequence (e-THRIVE) in prostate cancer (PCa). Image quality assessment and the receiver operating characteristic curve (AUC) analysis of quantitative DCE-MRI parameters in discrimination PCa from normal tissue were performed. 4D-FB showed significantly higher SNR compared to e-THRIVE. No significant differences were observed in AUCs for each quantitative DCE-MRI parameter. 4D-FB may improve image quality of DCE-MRI with keeping effective pharmacokinetic information in PCa assessment. |
| 3902 | Effectiveness of split dose of gadoterate meglumine injection using 30% and 70% of standard dose to detect prostate cancer using ultrafast DCE-MRI | |
| Xiaobing Fan1, Aritrick Chatterjee1, Jay M Pittman1, Ambereen Yousuf1, Tatjana Antic2, Gregory S Karczmar1, and Aytekin Oto1 | ||
1Radiology, The University of Chicago, Chicago, IL, United States, 2Pathology, The University of Chicago, Chicago, IL, United States |
||
We evaluated dynamic contrast enhanced MRI with a split injection protocol for diagnosis of prostate-cancer. We injected 30% of the standard dose, followed after two mins by 70% of the standard dose of gadoterat-meglumine. A signal intensity form of the standard Tofts model was used to extract physiological parameters. On average cancer had larger Ktrans and smaller ve than normal tissue obtained from both doses. Receiver operating characteristic analysis showed that area under curve was 0.776 for a combination of all parameters from the 30% and 70% doses. The split injection protocol combined with quantitative analysis may increase diagnostic accuracy. |
| 3903 | 23Na MRI in Patients with suspected Prostate Cancer: External and Internal References for Quantification of Tissue Sodium Concentration | |
| Anne Adlung1, Fabian Tollens2, Nadia Karina Paschke1, Jennifer Hümsch1, Niklas Westhoff3, Daniel Hausmann2,4, Lothar Rudi Schad1, Dominik Nörenberg2, and Frank Gerrit Zöllner1,5 | ||
1Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 2Department of Radiology and Nuclear Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 3Department of Urology and Urosurgery, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 4Department of Radiology, Kantonspital Baden, Baden, Switzerland, 5Mannheim Institute for Intelligent System in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany |
||
Prostate cancer is the most common tumor in men. 23Na-MRI provides complementary information to multiparametric-MRI. Tissue sodium concentration (TSC) quantification depends on sodium references-usually external phantoms. This study investigates TSC-quantification based on internal references (iliac-artery). 23Na-MRI of 19 male patients with suspected PCa was included. TSC in the prostate was quantified based on external reference vials and based on the iliac artery. Three patients showed a PI-RADs-5 lesion and had an elevated TSC which is in alignment with prvious studies. No significant differences between both methods were found in the whole prostate. Internal references for TSC quantification could simplify 23Na-MRI. |
| 3904 | A comparison study of the value of Diffusion Kurtosis Imaging and Amide Proton Transfer imaging in the evaluation of prostate cancer | |
| Huijia Yin1, Dongdong Wang1, Ruifang Yan1, Xuekun Li1, Kaiyu Wang2, and Dongming Han1 | ||
1MR, the First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China, 2MR Research China,GE Healthcare, Xinxiang, China |
||
This study explored the diagnostic value of APT and DKI in prostate cancer(PCa) and benign prostatic hyperplasia(BPH), and compared the diagnostic advantages of the two techniques and their relationship with the risk of prostate cancer. Our study have shown that APT and DKI both can differentiate PCa and BPH, but DKI has higher diagnostic value, and have strong correlation with Gleason score.They all have the potential to be used in routine clinical practice as new indicators to evaluate the risk of PCa, and to help early diagnosis and personalized diagnosis and treatment of PCa. |
| 3905 | A pilot study of 18F-PSMA PET/CT or PET/MRI and ultrasound fusion targeted prostate biopsy for intra-prostatic PET-positive lesions | |
| Yachao Liu1, Hongkai Yu2, Jiajin Liu1, Xiaojun Zhang1, Mu Lin3, Holger Schmidt4, Jiangping Gao2, and Baixuan Xu1 | ||
1Department of Nuclear Medicine, Chinese PLA General Hospital, Beijing, China, 2Department of Urology Surgery, Chinese PLA General Hospital, Beijing, China, 3MR collaborations, Diagnostic Imaging, Siemens Healthcare, Shanghai, China, 4MR Education, Customer Services, Siemens Healthcare, Erlangen, Germany |
||
The purpose of this study is to evaluate the feasibility and diagnostic performance of 18F-PSMA PET/CT-ultrasound (PET/CT-US) or PET/MRI-ultrasound (PET/MRI-US) fusion targeted biopsy for intra-prostatic PET-positive lesions. 55 candidates were prospectively enrolled for PET/CT-US or PET/MRI-US fusion targeted biopsies at solitary PET-positive lesions. A total of 178 core biopsies were performed on 55 patients. 146 biopsy cores (82.0%, 146/178) from 51 (92.7%, 51/55) patients were positive for prostate cancer; 47 (85.5%, 47/55) were clinically significant prostate cancer. 18F-PSMA PET/CT-US or PET/MRI-US fusion-targeted prostate biopsy are feasible for prostate cancer diagnosis and has high detection rate of clinically significant prostate cancer. |
| 3906 | Head-to-head comparison of PSMA-PET/CT and ferumoxtran-10-enhanced MRI for the diagnosis of lymph node metastases in prostate cancer patients | |
| Melline Gabrielle Maria Schilham1, Patrik Zamecnik1, Bas Israel1, Bastiaan Privé1, Mark Rijpkema1, Jelle Barentsz1, James Nagarajah1, Martin Gotthardt1, and Tom Scheenen1 | ||
1Medical Imaging, Radboudumc, Nijmegen, Netherlands |
||
In this head-to-head comparison study, 45 prostate cancer patients underwent both USPIO-enhanced MRI (nano-MRI) and prostate-specific membrane antigen PET/CT for the purpose of lymph node staging. The results of both scans were compared on number, size and location of suspicious lymph nodes. Both modalities identified suspicious LNs which were missed by the other. Both modalities identified suspicious LNs in all anatomical regions of the pelvis, however nano-MRI appeared to be superior in detecting smaller suspicious LNs. |
| 4085
|
Directional and Inter-acquisition Variability in DWI (DAVID) | |
| Jay M. Pittman1,2, Aritrick Chatterjee1,2, Teodora Szasz3, Grace Lee1,2, Mihai Giurcanu4, Milica Medved1,2, Ambereen Yousuf1,2, Ajit Devaraj5, Aytekin Oto1,2, and Gregory S. Karczmar1,2 | ||
1Radiology, The University of Chicago, Chicago, IL, United States, 2Sanford J. Grossman Center of Excellence in Prostate Imaging and Image Guided Therapy, The University of Chicago, Chicago, IL, United States, 3Research Computing Center, The University of Chicago, Chicago, IL, United States, 4Department of Public Health Sciences, The University of Chicago, Chicago, IL, United States, 5Philips Research North America, Cambridge, MA, United States |
||
Diffusion Weighted Imaging (DWI) MRI detects prostate cancers but is very sensitive to motion artifacts. There has been little quantitative evaluation of variability to guide clinical use of DWI. We found very high variability between individual acquisitions used for averaging at high b-values (% ranges of 74.08% - 115.56% in cancers and 53.53% - 159.91% in normal prostate tissue), primarily due to motion during diffusion-sensitizing gradients. High signals in cancer voxels appear in some acquisitions but not others. Therefore, standard averaging can obscure cancers. We propose alternative methods for combining information from individual images at each b-value to maximize diagnostic accuracy. |
| 4086 | Multi-Readout Diffusion-Weighted Imaging for Studying Coupling between Apparent Diffusion Coefficient and Echo Time | |
| Kaibao Sun1, Guangyu Dan1,2, Zheng Zhong1,2, and Xiaohong Joe Zhou1,2,3 | ||
1Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 3Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States |
||
The dependence of apparent diffusion coefficient (ADC) on echo time (TE) has been observed in a number of biological tissues. Such coupling can be exploited to extract tissue microstructural information. We herein introduce a time-efficient sequence that is capable of studying the interplay between ADC and TE. The sequence incorporated multiple echo-train readouts into diffusion-weighted echo planar imaging, together with a 2D RF excitation pulse to reduce the FOV, thereby allowing multiple effective TEs in an acquisition. With this sequence, ADCs were evaluated at three TEs and T2*s at three b-values. The proposed technique has been demonstrated in the prostate. |
| 4087 | Synthetic DWI in prostate | |
| Yu Ueda1, Tsutomu Tamada2, Makoto Obara1, Tetsuo Ogino1, Daisuke Morimoto-Ishikawa3, Hiroyasu Sanai2, Koji Yoshida2, Ayumu Kido2, Tomoko Hyodo4, Kazunari Ishii4, Masami Yoneyama1, and Marc Van Cauteren5 | ||
1Philips Japan, Tokyo, Japan, 2Department of Radiology, Kawasaki Medical School, Okayama, Japan, 3Radiology Center, Kindai University Hospital, Osaka, Japan, 4Department of Radiology, Kindai University, Osaka, Japan, 5BIU MR Asia Pacific, Philips Healthcare, Tokyo, Japan |
||
The usefulness of short TR DWI in prostate has been reported. However, care should be taken when setting TR as DWI with shorter TR suffers from low SNR. It would be beneficial to generate an additional DWI with shorter TR (e.g. 1000ms) from DWIs with two different TR (e.g. conventional [long] and short TR such as 6000 and 2000ms). The synthetic DWI at b = 1000 s/mm2 (DWI1000) with shorter TR of 1000ms calculated from DWIs with TR of 6000 and 2000ms had a tendency to show better diffusion contrast compared to the real-acquired DWI1000 with long TR of 6000ms. |
| 4088 | Rapid fitting of Luminal Water Fraction in Prostate MRI | |
| David Atkinson1, Fiona Gong1, Giorgio Brembilla1, and Shonit Punwani1 | ||
1Centre for Medical Imaging, University College London, London, United Kingdom |
||
Quantification of luminal water components provides tissue information in prostate MRI. The luminal water fraction (LWF) summarizes the amount of ‘luminal’, or longer T2 material in a distribution of tissue T2s. The parameters of this T2 distribution are found by fitting to the MR signal acquired from a multiple echo sequence. Iterative fitting of T2 distributions can be slow and different T2 distributions can give similar fits to data. The division into long and short T2 tissue for LWF calculations suggests that a simpler model may be effective. Two rapid alternative fits are presented. |
| 4089 | Prostate MRI at 3-T: clinical impact of ultra-high b value (3,000 s/mm2) diffusion-weighted MR imaging compared to high b value of 2,000 s/mm2 | |
| Ayumu Kido1, Tsutomu Tamada1, Yu Ueda2, Masami Yoneyama2, and Akira Yamamoto1 | ||
1Radiology, Kawasaki Medical School, Okayama, Japan, 2Philips Japan, Tokyo, Japan |
||
High b value DWI (b2000) shows insufficient image contrast between benign and malignant tissues and much overlap between ADCs of low grade and those of high-grade prostate cancers (PCs). Forty-nine patients with PC underwent multiparametric MRI including ultra-high b value DWI (b3000) and high b value DWI. Signal intensity of normal prostate was significantly lower in b3000 than in b2000. Other image quality parameters, tumor detection ability, and discrimination ability of PC aggressiveness between b3000 and b2000 were comparable. Compared with high b value DWI, ultra-high b value DWI could not contribute to increased diagnostic performance in PC. |
| 4090 | Automated patient-level detection of grade group ≥2 prostate cancer using quantitative restriction spectrum imaging MRI | |
| Allison Y Zhong1, Leonardino A Digma1, Troy Hussain1, Christine H Feng1, Christopher C Conlin2, Karen Tye1, Asona J Lui1, Maren MS Andreassen3, Ana E Rodríguez-Soto2, Roshan Karunamuni1, Joshua Kuperman2, Rebecca Rakow-Penner2, Michael E Hahn2, Anders M Dale2,4, and Tyler M Seibert1,2,5 | ||
1Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, United States, 2Department of Radiology, University of California San Diego, La Jolla, CA, United States, 3Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway, 4Department of Neurosciences, University of California San Diego, La Jolla, CA, United States, 5Department of Bioengineering, University of California San Diego, La Jolla, CA, United States |
||
Multiparametric MRI (mpMRI) improves prostate cancer diagnosis, but conventional apparent diffusion coefficient (ADC) and PI-RADS have poor reliability. We evaluated restriction spectrum imaging MRI (RSI-MRI) as a quantitative, patient-level classifier of higher-grade prostate cancer (grade group ≥2) and compared performance to conventional ADC and PI-RADS. Area under the receiver operating characteristic curve values for ADC, RSI-C1, and PI-RADS were 0.58 [0.51,0.67], 0.76 [0.68,0.83], and 0.78 [0.71,0.85], respectively. RSI-C1 was superior to ADC (p=0.003) as a patient-level classifier of higher-grade prostate cancer. Performance of RSI-C1 was comparable to that of PI-RADS (p=0.59). |
| 4091 | Comparison of single-shot EPI DWI, multi-shot EPI DWI, and single-shot EPI DWI using Compressed SENSE framework in prostate | |
| Ayumu kido1, Tsutomu Tamada1, Yu Ueda2, Masami Yoneyama2, Jaladhar Neelavalli3, and Akira Yamamoto1 | ||
1Kawasaki Medical School, Okayama, Japan, 2Philips Japan, Tokyo, Japan, 3Philips India, Bangalore, India |
||
Single-shot EPI (sshEPI) DWI still suffers from distortion and blurring. Multi-shot EPI (mshEPI) DWI called IRIS and sshEPI DWI using C-SENSE (a combination of parallel imaging and compressed sensing) enables to reduce distortion and blurring. A total of 14 prostate cancer (PC) patients underwent mpMRI including sshEPI DWI, IRIS, and sshEPI DWI using C-SENSE under the same scan time. The sshEPI DWI has comparable the diagnostic performance of PC equivalent to sshEPI DWI using C-SENSE and IRIS, whereas sshEPI DWI using C-SENSE and IRIS improve the image distortion and image blurring compared to sshEPI DWI. |
| 4092 | Clinical application of single-shot echo-planer diffusion-weighted imaging with compressed SENSE in prostate MRI | |
| Ayumu Kido1, Tsutomu Tamada1, Yu Ueda2, Masami Yoneyama2, and Akira Yamamoto1 | ||
1Radiology, Kawasaki Medical School, Okayama, Japan, 2Phillips Japan, Tokyo, Japan |
||
Image quality of DWI with single-shot echo-planar imaging (ssEPI) suffers from low SNR in high b-value acquisition. Compressed SENSE (C-SENSE) allow for a reduction of the noise. A total of 26 patients with prostate cancer (PC) underwent mpMRI including DWI with ssEPI and SENSE (EPIS) and DWI with ssEPI and C-SENSE (EPICS). SNR was significantly higher in EPICS than in EPIS. In comparison between ADC of clinically significant PC and ADC of clinically insignificant PC, only EPICS had significant difference. Compared with EPIS, EPICS improves the image quality and may contribute to increased diagnostic performance of tumor aggressiveness in PC. |
| 4093 | Characterization of prostate cancer and benign prostatic hyperplasia using IVIM-DKI with parameter-reconstruction method | |
| Archana Vadiraj Malagi1, Virender Kumar2, Kedar Khare3, Chandan J. Das4, and Amit Mehndiratta1,5 | ||
1Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, 2Department of Nuclear Magnetic Resonance (NMR),, All India Institute of Medical Sciences Delhi, New Delhi, India, 3Department of Physics, Indian Institute of Technology Delhi, New Delhi, India, 4Department of Radiodiagnosis, All India Institute of Medical Sciences Delhi, New Delhi, India, 5Department of Biomedical Engineering, All India Institute of Medical Sciences Delhi, New Delhi, India |
||
IVIM-DKI was used to evaluate clinical utility and diagnostic performance of IVIM-DKI parameters in characterization of prostate cancer(PCa) against benign prostatic hyperplasia(BPH) and healthy tissues. Sixteen patients suffering from PCa and BPH were recruited and underwent IVIM-DKI with routine MR sequences and biopsy. IVIM-DKI signal was modelled using hybrid model with total variation (TV) penalty function which removes any spurious values in parameters adaptively. HY with TV method produced high diagnostic performance (AUC:D=0.94-0.98, f=0.82-0.85 and k=0.85-0.91) than HY method for all tissues and high-quality parameter maps. IVIM-DKI parameters (D,f,k) showed significant differences between tumor and BPH and healthy tissue. |
| 4094 | Comparison of multiplexed sensitivity encoding (MUSE) and single-shot echo-planar imaging (ssEPI) for diffusion-weighted imaging of prostate | |
| Chun-Ying Shen1, Chia-Wei Li2, Chien-Yuan Lin2, and Ching-Hua Yang1 | ||
1Department of Radiology, Taovuan General Hospital, Ministry of Health and Welfare, Taovuan, Taiwan, 2GE Healthcare, Taipei, Taiwan |
||
This study aimed to evaluate and compare quantitatively the effect of image distortion of multiplexed sensitivity encoding (MUSE) and conventional single-shot echo-planar imaging (ssEPI) for diffusion-weighted imaging (DWI) of the prostate. Our result showed that prostate images by MUSE-DWI can provide significant less distortions and higher SNR than that by conventional ssEPI-DWI at the similar acquisition time. |
| 4095 | Optimal 2D-ROI Method to Measure Apparent Diffusion Coefficient of Lesions in Prostate MRI | |
| Hiroaki Takahashi1, Kotaro Yoshida2, Akira Kawashima3, Num Ju Lee4, Adam T Froemming4, Daniel A Adamo4, Ashish Khandelwal4, Candice W Bolan5, Matthew T Heller6, Robert P Hartman4, Bohyun Kim4, Kenneth A Philbrick4, Rickey E Carter5, Lance A Mynderse4, Mitchell R Humphreys6, and Naoki Takahashi4 | ||
1Department of Radiology, Mayo Clinic, Rochester, Rochester, MN, United States, 2Department of Diagnostic Radiology, Kanazawa University School of Medical Science, Kanazawa, Japan, 3Department of Radiology, Mayo Clinic, Arizona, Scottsdale, AZ, United States, 4Mayo Clinic, Rochester, Rochester, MN, United States, 5Mayo Clinic, Florida, Jacksonville, FL, United States, 6Mayo Clinic, Arizona, Scottsdale, AZ, United States |
||
This study evaluated different 2D-ROI methods to measure ADC of prostate lesions on prostate MR. The optimal method for measuring ADC values of suspected lesion for differentiating csPCa and non-csPCa on prostate MRI is 2D-ROI method placed on the lowest ADC area using 6-8 mm2 / 8-9 pixel-size ROI (AUC, peripheral zone lesions: 0.740-0.743 / 0.742-0.743, transition zone lesions: 0.709-0.710 / 0.711-0.713). Use of a standardized ROI size improves interobsever variability. |
| 4096 | Application of High Spectral and Spatial resolution (HiSS) MRI in prostate: a pilot study | |
| Milica Medved1,2, Aritrick Chatterjee1,2, Ajit Devaraj3, Carla Harmath1, Grace Lee1, Ambereen Yousuf1,2, Tatjana Antic4, Aytekin Oto1,2, and Gregory S Karczmar1,2 | ||
1Radiology, The University of Chicago, Chicago, IL, United States, 2Sanford J. Grossman Center of Excellence in Prostate Imaging and Image Guided Therapy, The University of Chicago, Chicago, IL, United States, 3Philips Research NA, Cambridge, MA, United States, 4Pathology, The University of Chicago, Chicago, IL, United States |
||
HiSS MRI is an echo-planar spectroscopic imaging (EPSI)-based method focusing on the shape and structure of the water and fat resonances. In the prostate, temporal signal decay parameters (ROC AUC 0.74-0.91) and spectral resonance shape parameters (ROC AUC 0.83-0.91) show high diagnostic potential. Spectral shape parameters do not correlate strongly with temporal decay parameters. Thus, they carry information complementary to the standard clinical multi-parametric MRI and can likely be utilized to improve its diagnostic performance in prostate cancer. |
| 4097 | Non-Invasive Prostate Metabolic and Cytometric Imaging: Insights from Activity MRI [aMRI] | |
| Xin Li1, Eric M. Baker1, Brendan Moloney1, Ryan P. Kopp2, Fergus V. Coakley3, Mark G. Garzotto4, and Charles S. Springer1 | ||
1Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, United States, 2Urology, Oregon Health & Science University, Portland, OR, United States, 3Radiology, Oregon Health & Science University, Portland, OR, United States, 4Urology, Portland VA Center, Portland, OR, United States |
||
The first aMRI [activity MRI] parametric maps of malignant prostate are presented. They show the differences in cell density [r (cells/μL)], average cell volume [V (pL)], and on-going metabolic activity across the prostate. Metabolic activity is represented by the mean steady-state cellular water efflux rate constant [kio (s-1)], which reflects homeostatic cytolemmal Na+,K+-ATPase [NKA] enzymatic turnover [fmol(ATP)consumed/s/cell]. In a known Gleason (3 + 4) tumor, r is increased, while V and kio are decreased – relative to normal-appearing tissue. Such changes are sensible, and these new biomarkers may be diagnostic and/or predictive. |
| 4098 | Differential diagnosis of PCa and BPH using intratumoral susceptibility signal intensities based onESWAN | |
| Yunsong Liu1, Hongkai Wang2, Mingrui Zhuang2, Lihua Chen1, Qingwei Song1, Shuang Meng1, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Dalian University of Technology, Dalian, China |
||
It remains a challenge to diagnose differentiate PCa from BPH due to their similar clinical symptoms. The aim of this study was to evaluate the value of intratumoral susceptibility signal intensities (ITSS) in differentiating PCa and BPH based on enhanced T2 star-weighted angiography (ESWAN). The diagnostic efficiency was promising well in quantitatively and automatically differentiation of PCa from BPH by ITSS based on ESWAN. |
| 4099 | Physically Implausible Diffusion Signals (PIDS) as a Quality Assessment Metric in Prostate DWI | |
| Teodora Szasz1, Milica Medved2, Aritrick Chatterjee2, Ajit Devaraj3, Ambereen Yousuf2, Xiaobing Fan2, Gregory Karczmar2, Aytekin Oto2, and Grace Lee2 | ||
1Research Computing Center, The University of Chicago, Chicago, IL, United States, 2Department of Radiology, The University of Chicago, Chicago, IL, United States, 3Philips Research North America, Chicago, IL, United States |
||
Diffusion weighted imaging (DWI) is important for prostate cancer diagnosis but is highly sensitive to artifacts. We developed a method for automatically and quantitatively measuring physically implausible DWI signals (PIDS) that could contribute to diagnostic errors. The level of PIDS is significant and similar in all prostate zones, for scans both with and without an endorectal coil, and is strongly correlated with motion. For scans without the endorectal coil, PIDS is correlated with noise level. In regions with a high percentage of PIDS, PIRADS II criteria may not be optimal, and algorithms that emphasize T2 and DCE-MRI may be preferable. |
| 4100 | POST-ACQUISITION WATER SIGNAL REMOVAL IN 3D WATER-UNSUPPRESSED 1H-MR SPECTROSCOPIC IMAGING DATA OF THE PROSTATE | |
| Angeliki Stamatelatou1, Diana Sima2, Sabine Van Huffel3, Sjaak Van Asten4, Arend Heerschap4, and Tom Scheenen4 | ||
1Radiology, Radboud UMC, Nijmegen, Netherlands, 2Icometrix, Leuven, Belgium, 3KU Leuven, Leuven, Belgium, 4Radboud UMC, Nijmegen, Netherlands |
||
Water-unsuppressed MRSI acquisitions could obliviate the need for additional reference data sampling for signal quantification. We evaluated two methods for post-acquisition water signal removal in 1H-MRSI of the prostate. The method using Löwner Blind Source Separation for filtering the water signal outperformed the matrix-based Hankel Lanczos Singular Value Decomposition method. The two techniques were evaluated and compared against conventional water suppressed data acquisitions in 4 volunteers. The results demonstrate that post-acquisition water removal was successfully implemented in water-unsuppressed prostate MRS(I) data, and that the Löwner filter showed the best performance. |
| 4101 | Standardization of SE-MRE at 3.0T for the prostate. | |
| Nicolás Moyano Brandi1,2,3, Daniel Fino1,2,4, Joaquín Capó1,2,3, Federico González1,4,5, Bruno Lima1,2, Maximiliano Noceti1,2,6, Pablo Ariza1,2, and Andrés Dominguez1,2 | ||
1Magnetic Resonance, Fundacion Escuela de Medicina Nuclear, Mendoza, Argentina, 2Magnetic Resonance, Fundación Argentina para el Desarrollo en Salud, Mendoza, Argentina, 3Universidad de Mendoza, Mendoza, Argentina, 4Universidad Nacional de Cuyo, Mendoza, Argentina, 5Comisión Nacional de Energía Atómica, Mendoza, Argentina, 6Hospital Italiano, Mendoza, Argentina |
||
MRE generates quantitative information of shear modulus. Several challenges exist for the assessment of prostate. Difficulties with wave propagation due to the central location of the prostate, have induced the development of different techniques including transurethral and endorectal drivers. The objectives of this work were to study the 3.0 Tesla trans-pelvic MRE performance in PCa at a standard excitation frequency (⍵) of 60 Hz, as well as the reproducibility of µ at different ⍵ values. In 43 patients, the MRE were acquired using five 2D-SE sequences (⍵ values: 40, 50, 60, 70 and 80 Hz) and GRE 2D sequences |
| 4102 | Development of Distortion-Free MR Elastography Methods for Slip Interface Imaging of the Prostate | |
| Yi Sui1, Kay Pepin1, Phillip J. Rossman1, Kevin Glaser1, Lance Mynderse2, Richard L. Ehman1, and Ziying Yin1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Urology, Mayo Clinic, Rochester, MN, United States |
||
Slip interface imaging is a MR elastography based technique that enables assessing the mechanical connectivity between the tumor and its sourronding tissues. In this study, we have implemented a distortion-free MRE method (DIADEM-MRE) for detecting slip boundary of the prostate capsule. This technique has the great potential to be used to locate the margin of tumor adherent to the prostatic capsule, thus predicting the present of extraprostatice extension of prostate cancer. |
| 4103 | Investigate the correlation between APT valuesand ADCs in Benign Prostatic Hyperplasia and Prostatic Cancer | |
| Shuang Li1, Ailian Liu1, Lihua Chen1, Yuanfei Li1, Shuang Meng1, Jiazheng Wang2, Peng Sun2, Qingwei Song1, and Renwang Pu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, Dalian, China, 2Philips Healthcare, Beijing, China, Beijing, China |
||
Differential diagnosis of benign prostatic hyperplasia (BPH) and prostatic cancer (PCa) now mainly depends on the results of the pathology. Both amide proton transfer-weighted (APTw) and diffusion-weighted imaging (DWI) are promising non-invasive methods to classify BPH and PCa. In this study, we explore the correlation between the APT values and ADC derived from DWI in BPH and PCa. The results indicate the APT values showa moderate negative correlation with ADC, which confirms both methods are effective in the differential diagnosis of BPH and PCa. |
| 4104 | Optimization of 3D prostate APTw MR imaging | |
| Wenjun HU1, Ailian Liu1, Lihua Chen1, Zhiwei Shen2, Jiazheng Wang3, Yi Zhang4, and Qingwei Song1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China, 3Philips Healthcare, Bejing, China, 4Zhejiang University, Hangzhou, China |
||
Recently, prostate disease prevalence has been shown to increase gradually. Amide proton transfer-weighted (APTw) imaging, a molecular MRI technique at the protein level, has been applied in the diagnosis of prostate disease. This study aims to explore the optimal scan parameters for prostate APTw MR imaging. The preliminary results showed higher SNR of APTw images in central zones was acquired with the optimal scan parameters including the echo train length, the numbers and thickness of slices, FOV, the type of fold-over suppression and shimming, the size of voxel and phase encoding direction. |
| 4105 | The repeatability of deep learning-based segmentation of the prostate, peripheral and transition zones on T2-weighted MR images | |
| Mohammed R. S. Sunoqrot1, Kirsten M. Selnæs1,2, Elise Sandsmark2, Sverre Langørgen2, Helena Bertilsson3,4, Tone F. Bathen1,2, and Mattijs Elschot1,2 | ||
1Department of Circulation and Medical Imaging, NTNU, Norwegian University of Science and Technolog, Trondheim, Norway, 2Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway, 3Department of Cancer Research and Molecular, NTNU, Norwegian University of Science and Technolog, Trondheim, Norway, 4Department of Urology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway |
||
Organ segmentation is an essential step in computer-aided diagnosis systems. Deep learning (DL)-based methods provide good performance for prostate segmentation, but little is known about their repeatability. In this work, we investigated the intra-patient repeatability of shape features for DL-based segmentation methods of the whole prostate (WP), peripheral zone (PZ) and transition zone (TZ) on T2-weighted MRI, and compared it to the repeatability of manual segmentations. We found that the repeatability of the investigated methods is comparable to manual for most of the investigated shape features from the WP and TZ segmentations, but not for PZ segmentations in all methods. |
| 4106 | Assessing the variability of contours performed by DL algorithms in prostate MRI | |
| Jeremiah Sanders1, Henry Mok2, Alexander Hanania3, Aradhana Venkatesan4, Chad Tang2, Teresa Bruno2, Howard Thames5, Rajat Kudchadker6, and Steven Frank2 | ||
1Imaging Physics, UT MD Anderson Cancer Center, Houston, TX, United States, 2Radiation Oncology, UT MD Anderson Cancer Center, Houston, TX, United States, 3Radiation Oncology, Baylor College of Medicine, Houston, TX, United States, 4Diagnostic Radiology, UT MD Anderson Cancer Center, Houston, TX, United States, 5Biostatistics, UT MD Anderson Cancer Center, Houston, TX, United States, 6Radiation Physics, UT MD Anderson Cancer Center, Houston, TX, United States |
||
Quantitative techniques for characterizing deep learning (DL) algorithms are necessary to inform their clinical application, use, and quality assurance. This work analyzes the performance of DL algorithms for segmentation in prostate MRI at a population level. We performed computational observer studies and spatial entropy mapping for characterizing the variability of DL segmentation algorithms and evaluated them on a clinical MRI task that informs the treatment and management of prostate cancer patients. Specifically, we analyzed the task of prostate and peri-prostatic anatomy segmentation in prostate MRI and compared human and computer observer populations against one another. |
| 4107 | Few-shot Meta-learning with Adversarial Shape Prior for Zonal Prostate Segmentation on T2 Weighted MRI | |
| Han Yu1, Varut Vardhanabhuti1, and Peng Cao1 | ||
1The University of Hong Kong, Hong Kong, Hong Kong |
||
We propose a novel gradient-based meta-learning scheme to tackle the challenges when deploying the model to a different medical center with the lack of labeled data. A pre-trained model is always suboptimal when deploying to different medical centers, where various protocols and scanners are used. Our method combines a 2D U-Net as a segmentor to generate segmentation maps and an adversarial network to learn from the shape prior in the meta-train and meta-test. Evaluation results on the public prostate MRI data and our HKU local database show that our approach outperformed the existing naive U-Net methods. |
| 4108 | A mutual communicated model based on multi-parametric MRI for automated prostate cancer segmentation and classification | |
| Piqiang Li1, Zhao Li2, Qinjia Bao2, Kewen Liu1, Xiangyu Wang3, Guangyao Wu4, and Chaoyang Liu2 | ||
1School of Information Engineering, Wuhan University of Technology, Wuhan, China, 2State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathmatics, Innovation Academy for Precision Measurement Science and Technology, Wuhan, China, 3Department of Radiology, The First Affiliated Hospital of Shenzhen University, Shenzhen, China, 4Department of Radiology, Shenzhen University General Hospital, Shenzhen, China |
||
We proposed a Mutual Communicated Deep learning Segmentation and Classification Network (MC-DSCN) for prostate cancer based on multi-parametric MRI. The network consists of three mutual bootstrapping components: the coarse segmentation component provides coarse-mask information for the classification component, the mask-guided classification component based on multi-parametric MRI generates the location maps, and the fine segmentation component guided by the located maps. By jointly performing segmentation based on pixel-level information and classification based on image-level information, both segmentation and classification accuracy are improved simultaneously. |
| 4109 | A novel unsupervised domain adaptation method for deep learning-based prostate MR image segmentation | |
| Cheng Li1, Hui Sun1, Taohui Xiao1, Xin Liu1, Hairong Zheng1, and Shanshan Wang1 | ||
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China |
||
Automatic prostate MR image segmentation is needed to help doctors achieve fast and accurate disease diagnosis and treatment planning. Deep learning (DL) has shown promising achievements. However, DL models often face challenges in applications when there are large discrepancies between the training (source domain) and test (target domain) data. Here we propose a novel unsupervised domain adaptation method to address this issue without utilizing any target domain labels. Our method introduces two models trained in parallel to filter and correct the pseudo-labels generated for the target domain training data and thus, achieves substantially improved segmentation results on the test data. |
| 4110 | Automated image segmentation of prostate MR elastography by dense-like U-net. | |
| Nader Aldoj1, Federico Biavati1, Sebastian Stober2, Marc Dewey1, Patrick Asbach1, and Ingolf Sack1 | ||
1Charité, Berlin, Germany, 2Ovgu Magdeburg, Magdeburg, Germany |
||
The purpose was to investigate the impact of individual or combined MR Elastogrphy maps and MRI sequences on the overall segmentation of prostate gland and its subsequent zones using dense-like U-net. Our study showed that the obtained dice score of MRE maps was higher (i.e. more accurate segmentation) than the one obtained with MRI sequences. Moreover, we found that the magnitude MRE map had the highest importance for accurate segmentation among all tested maps/sequences. In conclusion, MRE maps resulted in excellent segmentations even when compared to T2w images which are the standard choice for segmentation tasks. |
| 4111 | Machine learning challenge using uniform prostate MRI scans from 4 centers (PRORAD) | |
| Harri Merisaari1, Pekka Taimen2, Otto Ettala2, Juha Knaapila2, Kari T Syvänen2, Esa Kähkönen2, Aida Steiner2, Janne Verho2, Paula Vainio2, Marjo Seppänen3, Jarno Riikonen4, Sanna Mari Vimpeli4, Antti Rannikko5, Outi Oksanen5, Tuomas Mirtti5, Ileana Montoya Perez1, Tapio Pahikkala1, Parisa Movahedi1, Tarja Lamminen2, Jani Saunavaara2, Peter J Boström2, Hannu J Aronen1, and Ivan Jambor6 | ||
1University of Turku, Turku, Finland, 2Turku University Hospital, Turku, Finland, 3Satakunta Central Hospital, Pori, Finland, 4Tampere University Hospital, Tampere, Finland, 5Helsinki University Hospital, Helsinki, Finland, 6Icahn School of Medicine at Mount Sinai, New York, NY, United States |
||
PRORAD is a series of machine learning challenges hosted at CodaLab which provide access to prostate MRI data sets from 4 centers performed using a publicly available IMPROD bpMRI acquisition protocol. The challenge is designed for purposes of developing, validating and independent testing of various machine learning methods for prostate MRI. |
| 4112 | Evaluation of the inter-reader reproducibility of the PI-QUAL scoring system for prostate MRI quality | |
| Francesco Giganti1, Eoin Dinneen1, Veeru Kasivisvanathan1, Aiman Haider2, Alex Freeman2, Mark Emberton1, Greg Shaw2, Caroline M Moore1, and Clare Allen2 | ||
1University College London, London, United Kingdom, 2University College London Hospital, London, United Kingdom |
||
We assessed the interobserver reproducibility of the Prostate Imaging Quality (PI-QUAL) score for prostate MR quality between two expert radiologists who independently scored a total of 41 multiparametric prostate MR scans from different vendors and scanners. All men included in this study had biopsy-confirmed prostate cancer and received robotic-assisted laparoscopic prostatectomy after imaging. Agreement was substantial (κ = 0.77; percent agreement = 80%) when assessing each single PI-QUAL score (1 to 5). Two expert radiologists achieved substantial reproducibility for the PI-QUAL score, but the composition of the scoring system will need to undergo further refinements. |
| 4113 | Prostate Cancer Detection Using High b-Value Diffusion MRI with a Multi-task 3D Residual Convolutional Neural Network | |
| Guangyu Dan1,2, Min Li3, Mingshuai Wang4, Zheng Zhong1,2, Kaibao Sun1, Muge Karaman1,2, Tao Jiang3, and Xiaohong Joe Zhou1,2,5 | ||
1Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 3Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China, 4Department of Urology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China, 5Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States |
||
Diffusion-weighted signal attenuation pattern contains valuable information regarding diffusion properties of the underlying tissue microstructures. With their extraordinary pattern recognition capability, deep learning (DL) techniques have a great potential to analyze diffusion signal decay. In this study, we proposed a 3D residual convolutional neural network (R3D) to detect prostate cancer by embedding the diffusion signal decay into one of the convolutional dimensions. By combining R3D with multi-task learning (R3DMT), an excellent and stable prostate cancer detection performance was achieved in the peripheral zone (AUC of 0.990±0.008) and the transitional zone (AUC of 0.983±0.016). |
| 4114 | T2-Weighted MRI-Derived Texture Features in Characterization of Prostate Cancer | |
| Dharmesh Singh1, Virendra Kumar2, Chandan J Das3, Anup Singh1, and Amit Mehndiratta1 | ||
1Centre for Biomedical Engineering (CBME), Indian Institute of Technology (IIT) Delhi, New Delhi, India, 2Department of NMR, All India Institute of Medical Sciences (AIIMS) Delhi, New Delhi, India, 3Department of Radiology, All India Institute of Medical Sciences (AIIMS) Delhi, New Delhi, India |
||
Automatic grading of prostate cancer (PCa) can play a major role in its early diagnosis, which has a significant impact on patient survival rates. The objective of this study was to develop and validate a framework for classification of PCa grades using texture features of T2-weighted MR images. Evaluation of classification result shows accuracy of 85.10 ± 2.43% using random forest feature selection and Gaussian support-vector machine classifier. |
| 4115 | Classification of Cancer at Prostate MRI: Artificial Intelligence versus Clinical Assessment and Human-Machine Synergy | |
| guiqin LIU1, Guangyu Wu1, yongming Dai2, Ke Xue2, and Shu Liao3 | ||
1Radiology, Renji Hospital，Shanghai Jiaotong University School of Medicine, Shanghai, China, 2United Imaing Healthcare, Shanghai, China, 3Shanghai United Imaging Intelligence Co. Ltd, Shanghai, China |
||
The interpretation of mpMRI is limited by expertise required and interobserver variability. Here we present an AI model, with ordinary accuracy level for diagnosing prostate cancer, the remarkable of false negative and sensitivity could help to reduce missed-diagnosis of PCa especially csPCa. To assess its performance in clinical setting, we curated internal and external validation, and performance of radiologists, AI model, human-machine synergy were compared, although AI performed suboptimal, the human-led synergy method performed equivalent to clinical assessment with improved consistency, which can serve as a comparison standard to more complex deep learning and synergy approaches in the future. |
| 4116 | Repeatability of Radiomic Features in T2-Weighted Prostate MRI: Impact of Pre-processing Configurations | |
| Dyah Ekashanti Octorina Dewi1, Mohammed R. S. Sunoqrot1, Gabriel Addio Nketiah1, Elise Sandsmark2, Sverre Langørgen2, Helena Bertilsson3,4, Mattijs Elschot1,2, and Tone Frost Bathen1,2 | ||
1Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway, 2Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway, 3Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway, 4Department of Urology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway |
||
Identifying repeatability of radiomic features in T2-Weighted prostate MRI is important to develop consistent imaging biomarkers and evaluate prostate cancer. This study aims to investigate the impact of pre-processing configurations on radiomic features repeatability in two short-term measurements. Repeatability was analyzed through pre-processing combinations of quantization, bin number, normalization, and filtering, and PyRadiomics feature extraction tool. The results show that repeatability of texture features varies depending on anatomical zones and lesions, pre-processing, and feature itself. Four texture features provide good repeatability independently of pre-processing configuration. Moreover, different feature groups have the highest repeatability in whole prostate, prostate zones and lesions. |
| 4117 | Rapid submillimeter high-resolution prostate T2 mapping with a deep learning constrained Compressed SENSE reconstruction | |
| Masami Yoneyama1, Takashige Yoshida2, Jihun Kwon1, Kohei Yuda2, Yuki Furukawa2, Nobuo Kawauchi2, Johannes M Peeters3, and Marc Van Cauteren3 | ||
1Philips Japan, Tokyo, Japan, 2Radiology, Tokyo Metropolitan Police Hospital, Tokyo, Japan, 3Philips Healthcare, Best, Netherlands |
||
Compressed SENSE-AI, based on Adaptive-CS-Net, clearly reduces noise artifacts and significantly improves the accuracy and robustness of T2 values in submillimeter (0.7mm) high-resolution prostate multi-echo turbo spin-echo T2 mapping compared with conventional SENSE and Compressed SENSE techniques, without any penalty for scan parameters. This technique may prove of value in better discriminating prostate cancer from healthy tissues. |
| 4118 | Sensitivity of radiomics to inter-reader variations in prostate cancer delineation on MRI should be considered to improve generalizability | |
| Rakesh Shiradkar1, Michael Sobota1, Leonardo Kayat Bittencourt2, Sreeharsha Tirumani2, Justin Ream3, Ryan Ward3, Amogh Hiremath1, Ansh Roge1, Amr Mahran1, Andrei Purysko3, Lee Ponsky2, and Anant Madabhushi1 | ||
1Case Western Reserve University, Cleveland, OH, United States, 2University Hospitals Cleveland Medical Center, Cleveland, OH, United States, 3Cleveland Clinic, Cleveland, OH, United States |
||
Radiomic approaches for prostate cancer risk stratification largely depend on radiologist delineation of prostate cancer regions of interest (ROI) on MRI. In this study, we acquired multi-reader delineations of ROIs, derived radiomic features within the ROIs trained and evaluated machine learning classifiers. We observed that variation in delineations did not affect the classification performance within a cohort but it did affect when evaluated on an independent validation set. We observed that a more conservative approach in delineations may ensure better generalizability and classification performance of machine learning models. |
| 4119 | Radiomics models based on ADC maps for predicting high-grade prostate cancer at radical prostatectomy: comparison with preoperative biopsy | |
| Chao Han1, Shuai Ma1, Xiang Liu1, Yi Liu1, Changxin Li2, Yaofeng Zhang2, Xiaodong Zhang1, and Xiaoying Wang1 | ||
1Department of Radiology, Peking University First Hospital, Beijing, China, 2Beijing Smart Tree Medical Technology Co. Ltd., Beijing, China |
||
MR-based radiomics has been showed the feasibility in predicting high-grade prostate cancer (PCa), but most of the volumes of interest (VOIs) were based on manual segmentation. We develop and test 4 radiomics models based on manual/automatic segmentation of prostate gland/PCa lesion from apparent diffusion coefficient (ADC) maps to predict high-grade (Gleason score, GS ≥4+3) PCa at radical prostatectomy. Radiomics models based on automatic segmentation may obtain roughly the same diagnostic efficacy as manual segmentation and preoperative biopsy, which suggests the possibility of a fully automatic workflow combining automated segmentation and radiomics analysis. |
| 4120 | Non-invasive Gleason Score Classification with VERDICT-MRI | |
| Vanya V Valindria1, Saurabh Singh2, Eleni Chiou1, Thomy Mertzanidou1, Baris Kanber1, Shonit Punwani2, Marco Palombo1, and Eleftheria Panagiotaki1 | ||
1Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 2Centre for Medical Imaging, University College London, London, United Kingdom |
||
This study proposes non-invasive Gleason Score (GS) classification for prostate cancer with VERDICT-MRI using convolutional neural networks (CNNs). We evaluate GS classification using parametric maps from the VERDICT prostate model with compensated relaxation. We classify lesions using two CNN architectures: DenseNet and SE-ResNet. Results show that VERDICT achieves high GS classification performance using SE-ResNet with all parametric maps as input. Also in comparison with published GS classification multi-parametric MRI studies, VERDICT maps achieve higher metrics. |
| 4121 | Prostate Cancer Risk Maps Derived from Multi-parametric MRI and Validated by Histopathology | |
| Matthew Gibbons1, Jeffry P Simko2,3, Peter R Carroll2, and Susan Noworolski1 | ||
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Urology, University of California, San Francisco, San Francisco, CA, United States, 3Pathology, University of California, San Francisco, San Francisco, CA, United States |
||
Multi-parametric MRI has proven itself to be a clinically useful tool to assess prostate cancer through a qualitative assessment of multiple parameters within the guidelines of PI-RADs. Our objective is to leverage quantitative data combinations to characterize progression risk utilizing an automated procedure. This study showed the feasibility of MRI generated cancer risk maps, created from a combination of pre-prostatectomy, multiparametric MR images (mpMRI), to detect prostate cancer lesions >0.1cc as validated with histopathology. The method also quantified the volume of cancer within the prostate. Method improvements were identified by determining root causes for over and underestimation of cancer volumes. |
| 4122 | Deep learning reconstruction enables highly accelerated T2 weighted prostate MRI | |
| Patricia M Johnson1, Angela Tong1, Paul Smereka1, Awani Donthireddy1, Robert Petrocelli1, Hersh Chandarana1, and Florian Knoll1 | ||
1Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New york, NY, United States |
||
Early diagnosis and treatment of prostate cancer (PCa) can be curative, but the blood test for PSA is limited in detecting clinically significant PCa. Current abbreviated MR imaging protocols do not sufficiently reduce scan time for practical routine screening. In this work we extend a variational network (VN) deep learning image reconstruction method for accelerated clinical prostate images. Our results show that VN reconstructions of accelerated T2W images have comparable image quality to the current clinical protocol and require ≤1 minute of acquisition time, which can enable rapid screening prostate MRI. |
| 4123 | Reduction of B1-field induced inhomogeneity for body imaging at 7T using deep learning and synthetic training data. | |
| Seb Harrevelt1, Lieke Wildenberg2, Dennis Klomp2, C.A.T. van den Berg2, Josien Pluim3, and Alexander Raaijmakers1 | ||
1TU Eindhoven, Utrecht, Netherlands, 2UMC Utrecht, Utrecht, Netherlands, 3TU Eindhoven, Rossum, Netherlands |
||
Ultra high-field MR images suffer from severe image inhomogeneity and artefacts due to the B1 field. Deep learning is a potential solution to this problem but training is difficult because no perfectly homogeneous 7T images exist that could serve as a ground truth. In this work, artificial training data has been created using numerically simulated 7T B1 fields, perfectly homogeneous 1.5T images and a signal model to add typical 7T B1 inhomogeneity on top of 1.5T images. A Pix2Pix model has been trained and tested on out-of-domain data where it out-performs classic bias field reducing algorithms. |
| 4124 | Deep learning for synthesizing apparent diffusion coefficient maps of the prostate: A tentative study based on generative adversarial networks | |
| lei hu1, Jungong Zhao1, Caixia Fu2, and Thomas Benkert3 | ||
1Department of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixt, 上海, China, 2MR Application Development, Siemens Shenzhen magnetic Resonance Ltd, shenzhen, China, 3MR Application Predevelopment, Siemens Healthcare, Erlangen, Gernmany, Erlangen, Germany |
||
We developed a supervised learning framework based on GAN in order to synthesize apparent diffusion coefficient maps (s-ADC) using full-FOV DWI images; zoomed-FOV ADC (z-ADC) served as the reference. Synthesized ADC using DWI with b=1000 mm2/s (S-ADCb1000) has statistically significant lower RMSE and higher PSNR, SSIM, and FSIM than s-ADCb50 and s-ADCb1500 (All P < 0.001). Both z-ADC and s-ADCb1000 had better reproducibility regarding quantitative ADC values in all evaluated tissues and better performance in tumor detection and classification than full-FOV ADC (f-ADC). A deep learning framework based on GAN is a promising method to synthesize realistic z-ADC sets with good image quality and accuracy in prostate cancer detection. |