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| 3364 | Booth 1
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Whole Liver Phase-Based R2 Mapping in Liver Iron Overload within a Breath-hold |
| Ruvini Navaratna1,2, Daiki Tamada2, 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, 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 |
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There is an unmet need for non-invasive methods that provide rapid and accurate quantification of liver iron concentration (LIC) over a wide range of iron overload severity. Current R2 mapping techniques suffer from long acquisition times and limited spatial coverage. Recently, a phase-based R2 mapping technique for rapid whole-liver R2 quantification within a single breath-hold has been introduced. However, the feasibility of this method to quantify liver iron overload has not been demonstrated. In this work, we optimize and validate phase-based R2 mapping to quantify R2 in phantom experiments, healthy volunteers, and demonstrate feasibility in patients with iron overload. |
| 3365 | Booth 2
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Lung perfusion at 0.55T using ASL: Feasibility and Initial Results |
| Ziwei Zhao1, Nam G. Lee2, Sophia X. Cui3, and Krishna S. Nayak1,2 | ||
1Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States, 2Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, 3Siemens Medical Solutions USA, Inc., Los Angeles, CA, United States |
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Lung perfusion is challenging because of the complex anatomy and pulsatile blood flow. At 1.5T and 3T, a major challenge is the low signal from parenchyma due to the short T2*. Here, we demonstrate feasibility of lung ASL perfusion imaging on a high-performance 0.55T system. Experiments were performed using FAIR labeling with snapshot bSSFP imaging and quantified using Buxton’s GKM. In four healthy volunteers, pulmonary blood flow (PBF) ranges from 0.62 to 0.99 ml-blood/ml-tissue/min, which are within the expected range (0.51 to 1.52 ml/ml/min) and agree with the total average PBF estimated by a phase contrast method. |
| 3366 | Booth 3
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Fat-Compensated T1 Mapping of Non-Alcoholic Fatty Liver Disease with MPRAGE and MP2RAGE |
| Andrew Duffy1, Andreu Costa2, Sharon Clarke2,3, Ashley Stueck4, Magnus McLeod5, and James Rioux2,3 | ||
1Faculty of Medicine, Dalhousie University, Halifax, NS, Canada, 2Diagnostic Radiology, Dalhousie University, Halifax, NS, Canada, 3Biomedical Translational Imaging Centre, Nova Scotia Health Authority, Halifax, NS, Canada, 4Pathology, Dalhousie University, Halifax, NS, Canada, 5General Internal Medicine, Dalhousie University, Halifax, NS, Canada |
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Fat is a confounding factor in the use of T1 measurements as a non-invasive method of assessing non-alcoholic fatty liver disease. A Dixon-based water/fat separation was used to produce T1 maps based on the separated water signal in MPRAGE and MP2RAGE sequences. A correlation inconsistent with biophysical processes was observed between uncorrected MP2RAGE T1 values and fibrosis stage, but using the fat compensated T1 values corrects the correlation. The same effect was seen to a lesser extent with MPRAGE T1 values. Further investigation and validation with a larger cohort may provide a more reliable biomarker of liver fibrosis within NAFLD. |
| 3367 | Booth 4
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Reproducibility of Chemical Shift-Encoded MRI Fat Quantification in Liver Across Field Strengths in Patients with Iron Overload |
| Zihan Wang1,2, Scott B Reeder, MD, PhD1,2,3,4,5, and Diego Hernando, PhD2,3 | ||
1Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Medical Physics, 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 |
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The purpose of this study is to assess the reproducibility of CSE-MRI methods to measure proton density fat fraction (PDFF) in liver in patients with iron overload. The PDFF measurements of 31 patients with known or suspected iron overload and 10 healthy volunteers were imaged at both 1.5T and 3.0T. Patients were separated into four groups with increasing liver iron concentration (LIC). The reproducibility across field strengths was quantified within each group and reported below. |
| 3368 | Booth 5
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Longitudinal assessment of nonalcoholic steatohepatitis with MRI and MRE – changes of imaging biomarkers and their relationships |
| Zheng Zhu1, Jiahui Li1, Usman Yaqoob2, Alina M Allen2, Terry Therneau3, Kevin J Glaser1, Safa Hoodeshenas1, Sudhakar K Venkatesh1, Armando Manduca1, Vijay H Shah2, Richard L Ehman1, and Meng Yin1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States, 3Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, United States |
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We measured the longitudinal change of MRE-assessed liver stiffness (LS), loss modulus (LM) and MRI-assessed proton density fat fraction (PDFF) in a preclinical NASH model of 25 rats and 52 patients with NAFLD to assess disease severity, as well as the direction of progression/regression. Our pilot studies suggest that ΔLM and ΔPDFF are promising for monitoring treatment effects in a short-term period, while ΔLS is recommended for stratifying significant fibrosis that needs treatment in long-term follow-ups. |
| 3369 | Booth 6
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Probing Liver Microstructure in-vivo Using Diffusion-Relaxation Correlation Spectroscopic Imaging (DR-CSI) |
| Daeun Kim1, Brian P Lee2, Junzhou Chen1,3, Kevin King1, Justin P Haldar4,5, Norah A Terrault2, and Zhaoyang Fan1,5,6 | ||
1Department of Radiology, University of Southern California, Los Angeles, CA, United States, 2Department of Medicine, Division of Gastroenterology and Liver Diseases, University of Southern California, Los Angeles, CA, United States, 3Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, 4Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States, 5Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, 6Department of Radiation Oncology, University of Southern California, Los Angeles, CA, United States |
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Diffusion-relaxation correlation spectroscopic imaging (DR-CSI) is an advanced microstructure imaging approach that can resolve sub-voxel tissue compartments and quantify their fractions. In this work, we investigated the feasibility of DR-CSI with an optimized experiment design for in-vivo liver imaging. Our study showed that DR-CSI can measure multiple sub-voxel compartments in the liver and provide consistent component fraction maps in healthy livers. An initial test on a subject with chronic hepatitis B also demonstrated the potential of DR-CSI to identify and characterize pathological changes in liver parenchyma. Further studies on variable liver diseases are underway. |
| 3370 | Booth 7
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Radiomics for noninvasive prediction of HCC immunophenotyping |
| Enamul Bhuiyan1,2, Octavia Bane1,2, Paul Kennedy1,2, Sema Yildiz2, Muhammed Shareef2, M. Isabel Fiel3, Stephen Ward3, Myron Schwartz4, Thomas Marron5, Miriam Merad6, and Bachir Taouli1,2 | ||
1BioMedical Engineering and Imaging Institute (BMEII), Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Department of Pathology, Molecular and Cell Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Recanati/Miller Transplantation Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 5The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 6Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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The reported rate of intrahepatic recurrence of hepatocellular carcinoma (HCC) after resection is high (up to 50%), even with negative surgical margins, which is postulated to be due to micrometastases. Immunotherapy present new possibilities in cancer treatment with encouraging results in HCC. Selection of patients for immunotherapy may be based on background immune features, thus imaging features associated with immunophenotype may aid in patient selection. Specifically, radiomics features exhibited a fair to excellent diagnostic performance for differentiating tumors with high vs. low/moderate tumor infiltrating lymphocytes (TILs) and presence vs absence of tertiary lymphoid structure (TLS) with AUC range of 0.70-0.95. |
| 3371 | Booth 8
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Diffusion and perfusion MRI for prediction of HCC response to neoadjuvant immunotherapy |
| Enamul Bhuiyan1,2, Paul Kennedy1,2, Octavia Bane1,2, Muhammed Shareef2, Stefanie Hectors3, Hung Kam Cheung 3, Elizabeth Miller3, M. Isabel Fiel4, Myron Schwartz5, Stephen Ward4, Thomas Marron6, Miriam Merad7, and Bachir Taouli1,2 | ||
1BioMedical Engineering and Imaging Institute (BMEII), Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Regeneron Pharmaceuticals Inc. Tarrytown, New York, NY, United States, 4Department of Pathology, Molecular and Cell Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 5Recanati/Miller Transplantation Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 6The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 7Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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Neoadjuvant immunotherapy has the potential to decrease the risk of hepatocellular carcinoma (HCC) recurrence post resection. The objectives of this study were to assess the value of pre-treatment MRI parameters for prediction of HCC immunophenotype and response in a cohort of patients undergoing neoadjuvant immunotherapy prior to liver resection. We hypothesize that diffusion and perfusion MRI can predict HCC response to neoadjuvant immunotherapy. It was observed that abundant of TILs decreases ADC in tumors. Moreover, uptake rate is higher in highly necrotic tumors. |
| 3372 | Booth 9
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Estimation of Lung Parenchyma Transverse Relaxation Rates at 0.55 Tesla |
| Bochao Li1, Nam Gyun Lee1, and Krishna Shrinivas Nayak1,2 | ||
1Department of Biomedical 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 |
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Lung MRI with excellent image quality has been demonstrated at 0.55T, largely due to reduced susceptibility effects. Here, we present joint estimation of lung parenchyma transverse relaxation rates $$$R_{2}$$$, $$$R_{2}^{\prime}$$$, and off-resonance $$$\Delta f$$$. A custom echo-shifted turbo spin echo (TSE) pulse sequence with ECG triggering and breath hold was performed in 4 healthy volunteers, resulting in the mean $$$R_{2}$$$ of 23.4s-1, $$$R_{2}^{\prime}$$$ of 53.9s-1, and $$$\Delta f$$$ of 45.7Hz. This work demonstrates the feasibility of echo-shifted TSE for the estimation of three parameters of interest in lung MRI, and confirms prior measurements made with separate pulse sequences. |
| 3373 | Booth 10
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High-Resolution Half-Spoke and Full-Spoke 4D Lung MRI with Golden-Angle 3D Radial Acquisition and Motion-Resolved Sparse Reconstruction |
| Can Wu1, Guruprasad Krishnamoorthy2, Ergys Subashi1, Victoria Yu1, and Ricardo Otazo1,3 | ||
1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Philips Healthcare, MR R&D, Rochester, MN, United States, 3Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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This work aims to develop high-resolution 4D lung MRI with golden-angle 3D radial (kooshball) acquisition and motion-resolved sparse reconstruction. The golden-angle radial k-space lines were continuously acquired during free-breathing and retrospectively binned to multiple respiratory phases with respect to the respiratory signal obtained from a built-in motion-sensing camera. The sparsity along the respiratory motion dimension was exploited using compressed sensing reconstruction to suppress artifacts and improve SNR. The feasibility of half-spoke ultrashort echo time (UTE) and full-spoke 4D lung MRI was demonstrated on healthy volunteers on a clinical 3T MRI scanner. |
| 3374 | Booth 11
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Regional Lung Ventilation Mapping at 0.55T based on Feature Tracking |
| Yijing Yang1, Ziwei Zhao1, Ye Tian1, Roberta M. Kato2, Sophia X. Cui3, C.-C. Jay Kuo1, and Krishna S. Nayak1 | ||
1Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States, 2Children's Hospital of Los Angeles, Los Angeles, CA, United States, 3Siemens Medical Solutions USA, Inc., Los Angeles, CA, United States |
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Assessment of regional lung ventilation has significant clinical value for the diagnosis and follow-up of pulmonary diseases. High-performance 0.55T systems have provided new opportunities for pulmonary imaging due to prolonged T2* and reduced susceptibility. Here, we describe an image-based regional lung ventilation assessment method based on real-time bSSFP imaging with 0.3s temporal and 1.64x1.64 mm2 spatial resolution, and feature tracking. In healthy adult volunteers, we demonstrate the ability to detect posture-related left-right differences in ventilation, and test-retest repeatability. We detected -5% to 64% regional volume changes throughout the respiratory cycle from end of exhalation to total lung capacity. |
| 3375 | Booth 12
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Feasibility of VDP Calculation using 19F Free Breathing Spiral Acquisition with Post-Acquisition Denoising |
| Sang Hun Chung1, Khoi Minh Huynh1, Yong Chen2, Pew-Thian Yap3, Jennifer L. Goralski4,5,6, Scott H. Donaldson4,5, and Yueh Z. Lee3,4 | ||
1Biomedical Engineering, University of North Carolina, Chapel hill, NC, United States, 2Department of Radiology, Case Western Reserve University, Cleveland, OH, United States, 3Department of Radiology and Biomedical Research Imaging Center, University of North Carolina, Chapel hill, NC, United States, 4Division of Pulmonary and Critical Care Medicine, University of North Carolina, Chapel hill, NC, United States, 5Marsico Lung Institute/UNC Cystic Fibrosis Center, University of North Carolina, Chapel hill, NC, United States, 6Division of Pediatric Pulmonology, University of North Carolina, Chapel hill, NC, United States |
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19F lung ventilation MRI is usually acquired with extended breath holds that limit the acquisition to relatively healthy patients. New denoising methods have the potential to decrease the scan time significantly while achieving comparable SNRs. We compare 19F breath held scans to spiral acquisition based scans performed while free breathing combined with post-acquisition denoising in human subjects at 3T. VDP and SNR were evaluated. The denoised spiral scans yield higher SNRs (29.3 average increase) but overestimated VDPs (8.5% average increase). The differences in VDP were correlated (R-squared 0.74). The approach shows the potential for free-breathing 19F MRI ventilation imaging. |
| 3376 | Booth 13
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Motion-Compensated Low-Rank Reconstruction with Iterative Registration for Ventilation Analysis on Ultrashort Echo Time (UTE) Lung MRI |
| Fei Tan1, Xucheng Zhu2, and Peder Larson1 | ||
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2GE Healthcare, Menlo Park, CA, United States |
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In this abstract, we introduce motion-compensated low-rank constrained reconstruction with iterative registration. This method jointly improves the motion field estimation and the reconstruction, providing both functional and structural images. In addition, we test the effect of the regularization parameter on structural images and ventilation maps. We conclude that the motion-compensated low-rank constrained with iterative registration method is suitable for regional ventilation quantification. |
| 3377 | Booth 14
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Feasibility of Biliary Imaging at 0.55T: A Comparison to 1.5T |
| Anupama Ramachandran1, Kathleen Ropella-Panagis1, Nancy Dudek1, Joel Morehouse1, Vikas Gulani1, Mishal Mendiratta-Lala1, and Nicole Seiberlich1 | ||
1Department of Radiology, University of Michigan, Ann Arbor, MI, United States |
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MRCP exams were performed in three volunteers on 0.55T and 1.5T MRI systems. Images were rated on overall image quality and visualization of ducts by two board certified abdominal radiologists. All images on both systems were rated as excellent diagnostic quality. A paired sample t-test did not show significant differences in acquisition time between the two field strengths. The advantages of performing an MRCP exam on a 0.55T MRI system may include reduced susceptibility artifacts, reduced artifacts from cholecystectomy clips, improved patient comfort due to larger bore sizes, and potentially lower overhead costs. |
| 3378 | Booth 15
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Derivation of liver R2* and B0 maps from dual-echo MR images via deep learning |
| Yan Wu1, Yongwook Kee1, Marc Alley1, John Pauly2, Lei Xing1, and Shreyas Vasanawala1 | ||
1Stanford University, Stanford, CA, United States, 2Stanford University, Stanford University, CA, United States |
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Quantitative R2* map is an important liver disease indicator. However, the availability of R2* map is limited by the long scan time. In this study, we present a new paradigm to predict R2* and B0 maps from dual echo images. A self-attention deep convolutional neural network is trained and validated, where promising accuracy has been obtained. The proposed quantitative parametric mapping approach has a potential to eliminate the necessity for additional data acquisition other than clinical routine. |
| 3379 | Booth 16
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MRI lung lobe segmentation of pediatric cystic fibrosis patients using a neural network trained with publicly accessible CT datasets |
| Orso Pusterla1,2,3, Rahel Heule4,5, Francesco Santini1,3,6, Thomas Weikert6, Corin Willers2, Simon Andermatt3, Robin Sandkühler3, Sylvia Nyilas7, Philipp Latzin2, Oliver Bieri1,3, and Grzegorz Bauman1,3 | ||
1Division of Radiological Physics, Department of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland, 2Division of Pediatric Respiratory Medicine and Allergology, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland, 3Department of Biomedical Engineering, University of Basel, Basel, Switzerland, 4High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübinge, Germany, 5Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany, 6Department of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland, 7Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland |
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Pulmonary biomarkers quantifications on a lobar level provide improved specificity against whole-lung analyses. However, lobar quantifications of pulmonary MR data are hardly accessible due to the complex work required for the manual segmentations. Supervised neural networks have shown the premise for automatic segmentation, but it is challenging to gather labelled data for the training. To overcome these limitations, in this work, we “translate” publicly accessible chest CT datasets and lobe segmentations to pseudo-MR data, and we then train a network able to segment consistently lung lobes of acquired MRI data. The cross-modality approach has excellent prospects to automatize MRI analyses. |
| 3380 | Booth 1
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Intra-rectal gel suppression effectiveness on rectal cancer MR diffusion-weighted images |
| Edward M Lawrence1,2 and David H Kim1 | ||
1Radiology, UW-Madison School of Medicine and Public Health, Madison, WI, United States, 2Radiology, WS Middleton VA Hospital, Madison, WI, United States |
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Retrospective evaluation of intra-rectal gel suppression on DWI from 60 rectal MRIs. The DWI, including b1000, computed synthetic b1500, and ADC maps were evaluated by 2 radiologists independently using a 5 point Likert scale with scores of 4-5 considered fully diagnostic. The median suppression score was significantly greater than 3 for both readers (p<0.05) with fully diagnostic suppression achieved in 57/60 (95.0%) and 53/60 (88.3%) cases for reader 1 and 2, respectively. No study was given a score of 1 or 2 by either reader. These results suggest that gel does not impede reader evaluation for tumor restriction at DWI. |
| 3381 | Booth 2
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Comparison of Spiral and Cartesian Acquisitions for Rapid Hyperpolarized 129Xe Ventilation Mapping in Pediatric Cystic Fibrosis Lung Disease |
| Brandon Zanette1, Samal Munidasa1,2, Yonni Friedlander1,2, Felix Ratjen1,3, and Giles Santyr1,2 | ||
1Translational Medicine, The Hospital for Sick Children, Toronto, ON, Canada, 2Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3Division of Respiratory Medicine, The Hospital for Sick Children, Toronto, ON, Canada |
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A rapid 3D stack-of-spirals (3D-SoS) sequence was used for hyperpolarized 129Xe ventilation imaging in pediatric cystic fibrosis and healthy controls, allowing for 5x reduction in scan duration and breath-hold compared to a commonly used 2D gradient echo (2D-GRE) sequence. The ventilation defect percent (VDP) measured with 3D-SoS was not significantly different from VDP measured with 2D-GRE. Additionally, the transient drop in SpO2 associated with xenon breath-holds was reduced with the shorter breath-hold afforded by 3D-SoS. In future, the reduced acquisitions durations offered by 3D-SoS may allow for improved tolerability, or may be traded for improved resolutions. |
| 3382 | Booth 3
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A cross-modality deep learning model for esophageal cancer segmentation and quantitation on 18F-FDG PET/CT and diffusion weighted MRI |
| Zijian Zhou1, Bikash Panthi1, David E. Rauch1, Jong Bum Son1, Carol C. Wu1, Steven H. Lin1, Mark D. Pagel1, and Jingfei Ma1 | ||
1The University of Texas MD Anderson Cancer Center, Houston, TX, United States |
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We applied a deep learning (DL) model developed for 18F-FDG PET/CT of mantle cell lymphoma to esophageal cancers on 18F-FDG PET/CT and diffusion-weighted MRI. We compared the performance of the DL-based segmentation with the manual segmentation on PET and evaluated the quantitation on both PET and apparent diffusion coefficient (ADC). The model achieved promising results of detecting and segmenting esophageal cancers, and the DL-based imaging metrics were consistent with the reference standards. |
| 3383 | Booth 4
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3D T2-Weighted Rectal Cancer Imaging using a 3D Fast Spin Echo Sequence with Deep Learning Reconstruction |
| Sarah Palmquist1, Usama Salem1, Nir Stanietzky1, Jia Sun2, Xinzeng Wang3, Ersin Bayram3, Ken-Pin Hwang4, Jong Bum Son4, Peng Wei2, Randy Ernst1, Harmeet Kaur1, and Jingfei Ma4 | ||
1Abdominal Imaging, M.D. Anderson Cancer Center, Houston, TX, United States, 2Biostatistics, M.D. Anderson Cancer Center, Houston, TX, United States, 3GE Healthcare, Houston, TX, United States, 4Imaging Physics, M.D. Anderson Cancer Center, Houston, TX, United States |
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Multiplanar high resolution T2-weighted (T2W) imaging with a 2D fast spin echo (FSE) sequence is currently an essential component of rectal cancer MRI. In this work, we performed T2W imaging of rectal cancer with a 3D FSE sequence and evaluated the quality and potential clinical value of the images after applying a postprocessing deep learning reconstruction (DLR) algorithm. We found that DLR images are non-inferior to conventional images and there are fair-moderate inter-reader agreements in a large majority of the categories evaluated for image quality and clinical usefulness. |
| 3384 | Booth 5
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A clustering method to classify stages of NAFLD based on the metabolites results obtained in two mouse models with MRS |
| Aline Xavier1,2,3, Constanza Gainza4,5, Flavia Zacconi6,7,8, Daniel Cabrera9,10, Marco Arese9,11, Carlos Sing-Long2,3,4,5,8, and Marcelo Andia2,3,12 | ||
1Instituto de Ciencias de la Ingeniería, Universidad de O’Higgins, Rancagua, Chile, 2Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile, 3Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile, 4Millennium Nucleus Center for the Discovery of Structures in Complex Data, Santiago, Chile, 5Institute for Mathematical and Computational Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 6Faculty of Chemistry and Pharmacy, Pontificia Universidad Católica de Chile, Santiago, Chile, 7Research Center for Nanotechnology and Advanced Materials CIEN-UC, Pontificia Universidad Católica de Chile, Santiago, Chile, 8Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 9Gastroenterology Department, Pontificia Universidad Católica de Chile, Santiago, Chile, 10Faculty of Medical Sciences, Universidad Bernardo O’Higgins, Santiago, Chile, 11Center of Aging and Regeneration (CARE), Pontificia Universidad Católica de Chile, Santiago, Chile, 12Radiology Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile |
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In this study, we analyzed the liver fatty acids results obtained by magnetic resonance spectroscopy and gas chromatography in non-alcoholic fatty liver disease (NAFLD) mice with principal component analysis (PCA) and a clustering method. The study was made with two different mouse models (CDAA and Western diet), and a control group. Our results, as evidenced by PCA, showed that the liver fatty acid composition changed as NAFLD progressed and it was possible to identify the 3 most relevant NAFLD groups with MRS (healthy, steatosis, and steatohepatitis) with excellent agreement with the gold-standard histopathological scores. |
| 3385 | Booth 6
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Classifying healthy versus NAFLD mice from liver fatty acids’ 1H-MRS at 9.4 T using SVMs |
| Pedro Izquierdo Lehmann1,2, Aline Xavier2,3,4, Marcelo Andia2,4,5, and Carlos A Sing-Long1,2,4,6,7 | ||
1Institute for Mathematical and Computational Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 2Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile, 3Instituto de Ciencias de la Ingeniería, Universidad de O’Higgins, Rancagua, Chile, 4Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile, 5Radiology Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile, 6Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 7Millennium Nucleus Center for the Discovery of Structure in Complex Data, Santiago, Chile |
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Nonalcoholic fatty liver disease (NAFLD) is a common liver disorder that is the first step in a cascade of liver damage. Hence, there is a clinical need for non-invasive, early identification of patients. We hypothesize that the intra-hepatocyte fatty acid composition provides information about NAFLD. To test this, the 1H-MRS spectra of fatty acids in the livers of healthy and NAFLD mice were measured at 9.4 T. Exploratory data analysis shows the spectra can be correctly classified with SVMs. Our results open an opportunity to develop a non-invasive tool for staging NAFLD patients without the need of liver biopsy. |
| 3386 | Booth 7
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MR-based Liver Iron Quantification using Gradient Echo: Co-Factors influencing the Calibration of R2* with Reference Liver Iron Content Values |
| Arthur Peter Wunderlich1,2, Holger Cario3, Stephan Kannengießer4, Lena Hering1, Michael Götz1,2, Meinrad Beer1, and Stefan Andreas Schmidt1 | ||
1Dept. for Diagnostic and Interventional Radiology, Ulm University, Medical Center, Ulm, Germany, 2Section for Experimental Radiology, Ulm University, Medical Center, Ulm, Germany, 3Clinic of Pediatrics and Adolescent Medicine, Ulm University, Medical Center, Ulm, Germany, 4MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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Purpose: To analyze the Liver-Iron-Content-(LIC)-R2*-calibration with respect to co-factors. Methods: 116 patients were scanned with spin-echo (Ferriscan® protocol) and gradient-echo sequences. R2* was correlated to LIC reference values for all patients together and in subgroups divided by e.g. age, gender and underlying diseases. Linear correlations were analyzed with R2* only and including MR-PDFF as suspected co-factor. Results: Deviating slopes of regression lines were found e.g. in patients after splenectomy vs. patients with spleen, influence of MR-PDFF amongst others in females below 17 years. Conclusion: Co-factors like disease patterns should be considered in gradient echo based LIC quantification. |
| 3387 | Booth 8
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3D multi-echo GRE MRI of the whole liver: First experiences of a volumetric segment-by-segment R2* analysis |
| Arthur Peter Wunderlich1,2, Holger Cario3, Stephan Kannengießer4, Veronika Grunau1, Michael Götz1,2, Meinrad Beer1, and Stefan Andreas Schmidt1 | ||
1Dept. for Diagnostic and Interventional Radiology, Ulm University, Medical Center, Ulm, Germany, 2Section for Experimental Radiology, Ulm University, Medical Center, Ulm, Germany, 3Clinic of Pediatrics and Adolescent Medicine, Ulm University, Medical Center, Ulm, Germany, 4MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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Purpose: To test liver segmentation of 3D-multi-gradient-echo MRI data and segmental R2* evaluation. Methods: 44 patients examined by multi-gradient-echo MRI underwent semiautomatic liver segmentation and subdivision into nine segments. Segmental R2* values were analyzed in all patients together and in patient subgroups. Results: R2* was lowest in segment 1 (S1), differences to S1 were significant for S3, S5 and S6, highly significant to S2 and S7. Patients with high average R2* showed also significant differences to S1 in some segments. Conclusions: Inhomogeneity of hepatic iron distribution was found. Low R2* in S1 may be explained by its special vascular supply. |
| 3388 | Booth 9
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Reproducibility of Functional Lung Parameters derived from non-contrast enhanced self-gated 2D Ultrashort Echo-Time (UTE) in Healthy Subjects |
| Bingjie Yang1, Patrick Metze1, Anke Balasch1, Kilian Stumpf1, Meinrad Beer2, Wolfgang Rottbauer1, and Volker Rasche1 | ||
1Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany, 2Department of Radiology, Ulm University Medical Center, Ulm, Germany |
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MRI lung imaging is challenging due to cardiac and respiratory motion and the short T2*. In this study the reproducibility of lung function parameters derived from data acquired either from a breath-hold or free-breathing tiny golden angle UTE (2D tyGA UTE) technique have been assessed. Inter-observer and inter-measurement reproducibility was assessed for different lung parameters including lung density and qualitative and quantitative ventilation and perfusion. In general, a very good inter-observer reproducibility and superior reproducibility of the lung function parameters was observed for the free-breathing approach. |
| 3389 | Booth 10
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Hyperpolarized 129Xe Ventilation and Gas Exchange Images Acquired in a Single 10 s Breath-hold. |
| Peter J Niedbalski1, Chase Hall1, and Mario Castro1 | ||
1Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States |
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Hyperpolarized 129Xe MRI (Xe-MRI) can be used to acquire images of pulmonary ventilation and gas exchange. These ventilation and gas exchange images are typically acquired in separate breath-holds, which lengthens scan time, increases cost, and requires more of patients. We have combined 3D spiral (FLORET) ventilation imaging with radial 1-point Dixon gas exchange imaging within a single-breath-hold scan. This single-breath-hold scan produces both a gas exchange and a “high-resolution” (4x4x4 mm3 voxels) ventilation image that are qualitatively and quantitatively similar to images acquired in dedicated breath-holds. This increase in efficiency improves the clinical feasibility of hyperpolarized 129Xe MRI. |
| 3656 | Booth 1
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Quantitative CAIPIRINHA-Dixon-TWIST-VIBE parameters correlate with molecular subtypes of invasive ductal carcinoma |
| Tianwen Xie1, Tingting Jiang1, Caixia Fu2, Marcel Dominik Nickel3, Weijun Peng1, and Yajia Gu1 | ||
1Radiology, Fudan University Shanghai Cancer Center, Shanghai, China, 2MR Applications Development, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 3MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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In this study, we analyzed the relationship between CAIPIRINHA-Dixon-TWIST-VIBE (CDTV)-derived DCE parameters and clinicopathological factors, including molecular subtypes of invasive ductal carcinoma (IDC). Our results showed that the values of semi-quantitative parameters were similar for various prognostic factors and molecular subtypes of IDC. However, the values of quantitative inline pharmacokinetic kinetic parameters, kep_minimum and kep_difference, were significantly different for the luminal A and HER2-positive subtypes. AUC value for accurately distinguishing luminal A and HER2-positive subtypes based on combined kep_minimum and kep_difference values was 0.820. Therefore, our study demonstrates that CDTV-derived quantitative parameters are associated with molecular subtypes of IDC. |
| 3657 | Booth 2
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Applying Multiple Diffusion Models to Predict HER-2 Status in Patients with Breast Cancer: a preliminary study using Diffusion Spectrum Imaging |
| Chunping Mao1, Mengzhu Wang2, Xu Yan2, Guang Yang3, Xiang Zhang1, and Jun Shen1 | ||
1Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China, 2MR Scientific Marketing, Siemens Healthineers, Guangzhou, China, 3MR Scientific Marketing, School of Physics and Electronic Science, Shanghai, China |
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This study explored the feasibility of applying multiple diffusion models based on the same diffusion spectrum imaging (DSI) data into preoperative prediction of HER-2 status in patients with breast cancer (BC). The results showed that some diffusion parameters can discriminate HER-2 positive BC patients, but apparent diffusion coefficient (ADC) based on conventional mono-exponential model can not. This study suggests that the simultaneously application of multiple diffusion models from DSI data is feasible for diagnosis of patients with BC, which has certain clinical value of preoperative prediction of HER-2 status and is worthy of further research. |
| 3658 | Booth 3
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Breast DWIBS with patient-adaptive STIR inversion delay (TI) optimization utilizing dynamic TI scout scan (DynTI) |
| Mana Kato1, Kazuo Kodaira1, Yasuhiro Goto1, Yasutomo Katsumata2, Mai Nishihara2, Masami Yoneyama2, Isao Shiina1, Yutaka Hamatani1, Takumi Ogawa1, Michinobu Nagao3, and Shuji Sakai3 | ||
1Radiological Services, Tokyo Woman's Medical University Hospital, Tokyo, Japan, 2Philips Japan, Tokyo, Japan, 3Diagnostic imaging & Nuclear Medicine, Tokyo Woman's Medical University Hospital, Tokyo, Japan |
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DWI provides beneficial information that has high diagnostic potential of breast lesions. DWIBS can suppresses the background signals including fat tissues effectively, but there are often insufficient fat suppression cases because of non-adaptation TInull were used. In this study we demonstrated that the actual TI for nulling breast fat in DWI is patient-specific and dynamic TI scout scan (DynTI) is useful to explore patient-adaptive TI that can provide more beneficial to increase the robustness of breast DWIBS. |
| 3659 | Booth 4
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Combine nnU-Net and radiomics for automated classification of breast lesion using mp-MRI |
| Jing Zhang1, Chenao Zhan2, Xu Yan3, Yang Song3, Yihao Guo4, Tao Ai2, and Guang Yang1 | ||
1East China Normal University, Shanghai key lab of magnetic resonance, shanghai, China, 2Tongji Medical College, Huazhong University of Science and Technology, Department of Radiology, Tongji Hospital, Wuhan, Hubei Province, China, 3Siemens Healthcare, MR Scientific Marketing, shanghai, China, 4Siemens Healthcare, MR Collaboration, Guangzhou, China |
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Multi-parametric MRI (mp-MRI) radiomics can distinguish breast mass effectively, but requires breast lesion segmentation first, which is subjective and laborious for radiologists. To overcome this problem, we combined nnUnet and radiomics analysis as an automatic model for breast lesion classification. In the test cohort, the breast lesion segmentation model achieved mean dice of 0.835, and the classification model achieved an AUC of 0.891. We found that the nnU-Net can delineatey lesions accurately based on dynamic contrast-enhanced (DCE, TWIST-VIBEs)), and mp-MRI radiomics features extracted from the auto-segmented lesions can be used to classfy breast lesions accurately. |
| 3660 | Booth 5
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Combination of Blood Oxygen Level-Dependent and Intravoxel Incoherent Motion MRI to Evaluate Chronic Kidney Disease in Renal Transplants |
| Pan Wang1, Min Li1, Xiangnan Li1, Jiyang Zhang1, Xin Zheng2, Chen Zhang3, Stemmer Alto4, and Tao Jiang1 | ||
1radiology department, Beijing Chao-Yang Hospital, Beijing, China, 2Urinary Surgery, Beijing Chao-Yang Hospital, Beijing, China, 3MR Scientific Marketing, Siemens Healthcare, Beijing, China, 4] MR Application Development, Siemens Healthcare, Erlangen, Germany |
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Kidney transplantation is currently considered as the preferred treatment for end-stage renal disease, this study aims to explore the performance of BOLD-fMRI and IVIM of renal transplants kidney patients with CKD. The results showed the D value in renal cortical could well identify and distinguish normal kidney and diseased kidney. The R2* value could indirectly reflect deoxyhemoglobin to assess the degree of renal function impairment. BOLD-fMRI and IVIM can provide a more accurate and comprehensive understanding of the functional information of the chronic kidney metabolism. |
| 3661 | Booth 6
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O2-inhalation T2* BOLD and dual-VENC 4D flow MRI: hypoxic evaluation of pediatric transplanted kidneys |
| Michinobu Nagao1, Taro Ando1, Yasuhiro Goto1, Isao Shiina1, Kazuo Kodaira1, Masami Yoneyama2, Kenichiro Miura1, Motoshi Hattori1, and Shuji Sakai1 | ||
1Tokyo Women's Medical University, Tokyo, Japan, 2Philips Japan, Tokyo, Japan |
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For pediatric patients with end-stage renal failure, kidney transplantation is the only treatment that can provide growth and long-term survival. Although rejection is the common cause of renal dysfunction, there are other causes of chronic transplant nephropathy, in which the transplanted kidney develops fibrosis. Hypoxia is considered as possible causes of this order. We used O2-inhalation T2*-BOLD and dual-VENC 4D flow MRI to assess hypoxia in pediatric transplanted kidneys. In patients with chronic transplant nephropathy, hypoxia was found in the renal medulla and small vessel’s flow was reduced. This analysis is an effective means of monitoring hypoxia in transplanted kidneys. |
| 3662 | Booth 7
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ASL and multi-b-value DWI for longitudinal renal function evaluation of renal allografts |
| lihua chen1, jianmin cui2, jinxia zhu3, and wen shen2 | ||
1Tianjin First Center Hospital, tianjin, China, 2Tianjin First Center Hospital, Tianjin, China, 3MR collaboration, Siemens Healthcare Ltd., Beijing, China |
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Early evaluation and treatment of delayed graft function due to renal cold ischemia reperfusion injury has important clinical significance for prolonging donor kidney preservation times and improving the survival rates of allografts. Arterial spin labeling (ASL) and diffusion-weighted imaging (DWI) have been accepted for microstructure change evaluations of renal function. In this study, transplant recipients were collected for fMRI examination at 14d, 30d and 90d after transplantation. The parameters were compared to evaluate renal microstructure changes among different time points. The results showed ASL and DWI can reflect longitudinal changes of diffusion and perfusion properties for allografts after kidney transplantation . |
| 3663 | Booth 8
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Differentiating Benign from Malignant Renal Cystic Masses Using Continuous-time Random-walk diffusion model |
| Xiaojun Yang1, Xiaohui Duan1, Mengzhu Wang2, Xu Yan2, Lingjie Yang1, Weike Zeng1, Wei Jiang1, Yaojun Hu1, Guang Yang3, and Jun Shen1 | ||
1Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China, 22MR Scientific Marketing, Siemens Healthineers, Guangzhou, China, 3Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, China |
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This study evaluated whether continuous-time random-walk (CTRW) diffusion model could be used to distinguish benign from malignant renal tumors, as well as compared the diagnostic effectiveness between the diffusion parameters of CTRW and apparent dispersion coefficient (ADC). The results demonstrated that CTRW diffusion model as a new noninvasive MR technique, was able to differentiate benign from malignant renal masses in vivo, and further improve the diagnostic efficiency of renal malignant masses compared with conventional diffusion imaging. |
| 3664 | Booth 9
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Automatic segmentation of bladder cancer on MRI using a convolutional neural network and reproducibility of radiomics features. |
| Yusaku Moribata1, Yasuhisa Kurata1, Mizuho Nishio1, Aki Kido1, Satoshi Otani1, Yuki Himoto1, Naoko Nishio2, Akihiro Furuta2, Kimihiko Masui3, Takashi Kobayashi3, and Yuji Nakamoto1 | ||
1Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan, 2Department of Radiology, Japanese Red Cross Osaka Hospital, Osaka, Japan, 3Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan |
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This multi-center retrospective study performed automatic segmentation of bladder cancer (BC) on MRI with a convolutional neural network and evaluated the reproducibility of radiomics features. Of the total 170 patients, 140 were used to train our U-net model and 30 were used to evaluate the segmentation performance of the model. Our U-net model achieved a median Dice similarity coefficient of 0.811 in the test dataset and most of the automatically extracted radiomics features showed high reproducibility (median intraclass correlation coefficient: 0.83-0.86). Our model would lead to efficient medical image analysis of BC using the radiomics approach. |
| 3665 | Booth 10
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Optimize and Evaluate the Efficacy of Pairwise AE Model in Predicting the Prognosis of Concurrent Chemo-radiotherapy for Cervical Cancer |
| Miao Liu1, Qi Wang1, Gaofeng Shi1, Li Yang1, and Qinglei Shi2 | ||
1The Fourth Hospital of Hebei Medical University, Shi Jiazhuang, China, 2MR Scientific Marketing , Siemens Healthineers Ltd., Beijing, China |
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To overcome the small data set problems in clinical situations, this paper proposed a pairwise auto encoder (AE) model, which can learn more relationship information among samples to enhance the generalization ability, in predicting the prognosis of concurrent chemo-radiotherapy for LACC and demonstrated potential in this field. |
| 3666 | Booth 11
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Diffusion kurtosis imaging with multiple quantitative parameters for predicting microsatellite instability status in endometrial carcinoma |
| Wan Dong1, Shifeng Tian1, Lihua Chen2, and Ailian Liu2 | ||
1Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2the First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Immunohistochemistry is considered the most common method to determine the MSI status of EC, but this method is usually performed after surgery. Here, diffusion kurtosis imaging (DKI) with multiple quantitative parameters was used to predict microsatellite instability (MSI) status of endometrial carcinoma (EC). Results showed that there were good efficiency of DKI to distinguish MSI status of EC (The AUC of MK, Ka, MD, and Dr values was 0.763,0.729,0.731, 0.748, respectively). |
| 3667 | Booth 12
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Compressed Sensing and Deep Learning Reconstruction: Efficacy for Women’s Pelvic MRI at 1.5 T MR System in Routine Clinical Practice |
| Takahiro Ueda1, Yoshiharu Ohno1, Kaori Yamamoto2, Natsuka Yazawa2, Ikki Tozawa3, Masayuki Sato3, Motohiro Katagiri3, Masato Ikedo2, Masao Yui2, Hiroyuki Nagata1, Kazuhiro Murayama4, and Hiroshi Toyama1 | ||
1Radiology, Fujita Health University School of Medicine, Toyoake, Japan, 2Canon Medical Systems Corporation, Otawara, Japan, 3Radiology, Fujita Health University Bantane Hospital, Nagoya, Japan, 4Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan |
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We hypothesized that compressed sensing (CS) with deep learning reconstruction (DLR) can improve image quality and shorten examination time on not only T2-weighted imaging (T2WI), but also T1-weighted imaging (T1WI) on women’s pelvic MRI, when compared with PI at 1.5T MR system. The purpose of this study was to compare the utility of CS and DLR for shortening examination time and improving image quality on MRI at 1.5T system in patients with various female pelvic diseases. |
| 3668 | Booth 13
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Cervical carcinoma: Evaluation using diffusion MRI with a fractional order calculus model and its correlation with histopathologic findings |
| Hui Liu1, Liyun Zheng2, Dongmei Wu3, Yongming Dai2, and Gaofeng Shi1 | ||
1Department of Radiology, Fourth Hospital of Hebei Medical University, Shijiazhuang, China, 2United Imaging Healthcare, Shanghai, China, 3Shanghai Key Laboratory of Magnetic Resonance, Department of Physics, East China Normal University, Shanghai, China |
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Clear insights into histological subtype and differentiation grade are essential in cervical carcinoma diagnosis and management. In current study, we demonstrated the feasibility of using high-b-value non-Gaussian diffusion model fractional order calculus (FROC) model to differentiate the tumor subtype and grade of cervical carcinoma. FROC model provided a set of novel diffusion parameters and the combination of these parameters contributed to the best diagnostic performance in differentiation between low-grade and high-grade cervical carcinoma. |
| 3669 | Booth 14
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Texture Analysis of Synthetic MRI Combined with DWI and ADC for Characterization of Lesions of the Prostate |
| Hao Cheng1, Pu-Yeh Wu2, Ming Liu3, Chunmei Li1, and Min Chen1 | ||
1Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China, 2GE Healthcare, Beijing, China, 3Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China |
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We extracted 104 texture features from relaxation maps of synthetic MRI, DWI and ADC in each of 603 prostate lesions from 297 patients, and compared the diagnostic performance of models based on texture features with mean quantitative values in discriminating PCa from benign lesions and in discriminating csPCa from clinically insignificant lesions. Models of synthetic MRI+DWI+ADC has the highest diagnostic performance in discriminating PCa from SH and noncancerous PZ, and in discriminating csPCa from SH+Gl6 and noncancerous PZ+Gl6. This suggested that texture analysis of synthetic MRI combined with diffusion images can provide better performance in the characterization of prostate lesions. |
| 3670 | Booth 15
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A preliminary study of optimized b-value scheme in diagnosis of cervical cancer using reduced field-of-view diffusion weighted imaging |
| Qian Tang1, Weiyin Vivian Liu2, Qiqi Zhou3, Yu Xing3, Chao Liu3, and Lin Xu3 | ||
1Biomedical Engineering College, Hubei University of Medicine, Hubei, China, 2GE Healthcare, Beijing, China, 3Department of Radiology,Taihe Hospital, Hubei University of Medicine, Hubei, China |
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The number of used b values and the b values themselves prolong scan time. Longer scan time deprives patient tolerance, increase more possibility of involuntary movement, and thus limits the application value of IVIM technology. Therefore, we aimed to explore the optimal scheme of rFOV DW imaging with multiple b-values. We found no significant difference of mean ADC, D* and f values but mean D value in our patients between two different b-value schemes, suggesting optimized b-value setting was appropriate in diagnosis of cervical cancer especially for cervical squamous carcinoma. |
| 3671 | Booth 1
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Diagnosis value of T2 mapping on the of vascular invasion in rectal Cancer |
| Xiwei Li1, Anliang Chen1, Ailian Liu1, and Zhigang Wu2 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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Rectal cancer is a malignant tumor with extremely high morbidity and mortality. It will change the physical microenvironments, but it is still a challenge to differentiate the rectal cancer with and without vascular invasion. T2 mapping imaging is a quantitative biomarker with good repeatability and stability. T2 mapping can non-invasively visualize and quantify tissue components (such as edema, fibrosis etc )without contrast agent. This study aims to assess the performance of T2 mapping on differentiating rectal cancer with and without vascular invasion, which may yield higher diagnostic confidence. |
| 3672 | Booth 2
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Isotropic 3D high-resolution T2-weighted breast MRI with a deep learning constrained Compressed SENSE reconstruction: a pilot study |
| Yang Fan1, Yang Jieyin1, Sun Jiayu1, Zhang Xiaoyong2, and Ling Chuntang 3 | ||
1Department of Radiology, West China hospital of Sichuan University, Chengdu, China, 2Department of Clinical Science, Philips Healthcare, Chengdu, China, 3Department of Application, Philips Healthcare, Chongqing, China |
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2D T2-weighted (T2WI) breast MRI is prominently used for the identification of the colliquative necrosis and cysts, and it can also contribute to the characterization of lesions as benign or malignant. However, 2D imaging is routinely used in clinical practice, which has lower resolution, slice gaps, and may suffer distortion to delineate the breast lesions. In this study, we applied the Compressed-sensing Artificial Intelligence (CS-AI) framework to further increase the spatial resolution and reduce the scan time. The results of this study demonstrated that the high-resolution T2-weighted 3D CS-AI can provide further benefits to improve the depiction of diagnostic findings of breast lesions. |
| 3673 | Booth 3
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Susceptibility-weighted MR sequence for the evaluation of intra-tumoral hemorrhage: Differentiation of benign and malignant ovarian tumors |
| Mayumi Takeuchi1, Kenji Matsuzaki2, and Masafumi Harada1 | ||
1Department of Radiology, Tokushima University, Tokushima, Japan, 2Department of Radiological Technology, Tokushima Bunri University, Sanuki-city, Japan |
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Intra-tumoral hemorrhage is one of the suggestive pathological findings of malignancy. Surgically proven 16 benign and 64 malignant solid or complex ovarian tumors were retrospectively evaluated. High intensity hemorrhagic foci on T1WI were detected in 16 of 64 malignant lesions (25%), whereas signal voids due to hemorrhage on susceptibility-weighted sequence (SWS) were detected in 41 of 64 lesions (64%). Neither high intensity foci on T1WI nor signal voids on SWS was detected in all 16 benign tumors. We conclude that the demonstration of intra-tumoral hemorrhage in patients with ovarian tumors by SWS may provide valuable diagnostic findings. |
| 3674 | Booth 4
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The value of APTw imaging combined with ALP to identify Prostate Cancerwith or withoutBone Metastasis |
| Chen Lihua1, Song Qingwei1, Gao Mingli1, Wang Jiazheng2, Lin Liangjie2, Wu Zhigang2, and Liu Ailian1 | ||
1The First Affiliated Hospital of Dalian Medical University, DaLian, China, 2Philips Healthcare, Beijing, China |
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Amide proton transfer-weighted (APTw) imaging is a novel MRI imaging tool for detection of amide protons in mobile cellular proteins and peptides. This study aims to assess and differentiate prostate cancers with and without bone metastasis using APTw MRI and alkaline phosphatase (ALP).Results show that prostate cancers with bone metastasis were associated with significantly higher APTw and ALP values than those without bone metastasis. The diagnostic efficiency is the highest using APT combined with ALP. Therefore, APTw imaging together with ALP may provide an more effective tool to predict the aggressiveness of prostate cancer. |
| 3675 | Booth 5
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Diagnostic performance of transition zone prostate cancer: a comparison between PI-RADS v2.1 and PI-RADS v2 |
| Dan Zhang1, Zhi Chen1, Na Song1, Zhuo Wang1, Shao Zhang1, Xiao Chen1, Xiao Wei2, and Bing Chen1 | ||
1The Department of Radiology, The General Hospital of Ningxia Medical University, Yinchuan, China, 2GE Healthcare,MR Research, Beijing, China |
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In this study, we aim to investigate the diagnostic value of PI-RADS v2.1 and PI-RADS v2 (prostate imaging reporting and data system version 2.1 and version 2) in diagnosing transition zone prostate cancer. It was concluded that the diagnostic value of PI-RADS v2.1was not lower than that of PI-RADS v2. |
| 3676 | Booth 6
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Diagnostic performance of peripheral zone prostate cancer: a comparison between PI-RADS v2.1 and PI-RADS v2 |
| Dan Zhang1, Zhi Chen1, Na Song1, Zhuo Wang1, Shao Zhang1, Xiao Chen1, Xiao Wei2, and Bing Chen1 | ||
1The Department of Radiology, The General Hospital of Ningxia Medical University, Yinchuan, China, 2GE Healthcare,MR Research, Beijing, China |
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In this study, we aim to investigate the diagnostic value of PI-RADS v2.1 and PI-RADS v2 (prostate imaging reporting and data system version 2.1 and version 2) for peripheral zone prostate cancer. It was concluded that the diagnostic value of PI-RADS v2.1 was higher. |
| 3677 | Booth 7
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Automatic segmentation of prostate gland on multiparametric MR images using deep learning convolutional neural network: a multi-center study |
| Lili Xu1, Gumuyang Zhang1, Li Mao2, Xiuli Li2, Hao Sun1, and Zhengyu Jin1 | ||
1Peking Union Medical College Hospital, Beijing, China, 2Deepwise AI Lab, Beijing, China |
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Accurate prostate segmentation on MR images plays an important role in the management of prostate diseases. Recently proposed deep learning architecture has been successfully applied for medical image segmentation to overcome the shortcomings of manual segmentation. Our study proposed a 3D UNet model for automatic and accurate prostate gland segmentation on both DWI and T2WI images. This model was tested in 3 different external cohorts and showed satisfactory results on T2WI images. The segmentation performance on DWI images was inferior but still inspiring in the external testing group. This study might benefit the management of prostate diseases in the future. |
| 3678 | Booth 8
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Quantitative Susceptibility Mapping as an Alternative to CT for Localizing Gold Intraprostatic Fiducial Markers |
| Ashley Wilton Stewart1,2, Jonathan Goodwin3,4, Simon Daniel Robinson2,5,6, Kieran O’Brien1,2,7, Jin Jin1,2,7, Markus Barth1,2,8, and Steffen Bollmann1,2,8 | ||
1ARC Training Centre for Innovation in Biomedical Imaging Technology, The University of Queensland, St Lucia, Australia, 2Centre for Advanced Imaging, The University of Queensland, St Lucia, Australia, 3Department of Radiation Oncology, Calvary Mater Hospital, Newcastle, Australia, 4School of Information and Physical Sciences, University of Newcastle, Newcastle, Australia, 5High Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria, 6Department of Neurology, Medical University of Graz, Graz, Austria, 7Siemens Healthcare Pty Ltd, Brisbane, Australia, 8School of Information Technology and Electrical Engineering, The University of Queensland, St Lucia, Australia |
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Gold fiducial markers (FMs) for prostate radiotherapy are commonly localized using Computed Tomography (CT), though interest in MR-only workflows is growing. One current limitation with magnitude-based MR-only workflows is the ability to distinguish FMs from blood products and calcifications because all appear as signal voids. Quantitative Susceptibility Mapping (QSM) separates sources based on their susceptibility, and may be a potential solution. We apply the QSMxT pipeline to gradient-echo images of a prostate cancer patient with FMs and a calcification. We found that QSM provided a contrast that could differentiate the FMs from calcifications to a degree comparable to CT. |
| 3679 | Booth 9
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Prostate cancer Diagnosis and risk stratification with combination of DISCO and MUSE: a feasibility study. |
| Dan Zhang1, Zhi Chen1, Na Song1, Zhuo Wang1, Shao Zhang1, Xiao Chen1, Xiao Wei2, and Bing Chen1 | ||
1The Department of Radiology, The General Hospital of Ningxia Medical University, Yinchuan, China, 2GE Healthcare,MR Research, Beijing, China |
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In this study, we aim to investigate the value of DISCO quantitative parameters combined with MUSE in distinguishing benign and malignant prostate lesions. It was concluded that Ktrans, Kep, Ve and ADC can be used as imaging biomarkers to distinguish benign and malignant prostate lesions; Ktrans and ADC are helpful to predict aggressiveness of the tumor，and can be used as independent predictors of prostate cancer. |
| 3680 | Booth 10
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Static-fluid MR Urography with three-dimensional Gradient and Spin-echo and Respiratory-trigger Fast Spin Echo sequences: A Comparison Study |
| Wei Wang1, Jing Liu1, Wei Li1, Ke Xue2, Yongming Dai2, and Jianxing Qiu1 | ||
1Peking University First Hospital, Beijing, China, 2United Imaging Healthcare, Shanghai, China |
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This study is targeted to compare the performance of three-dimensional (3D) breath-hold gradient and spin-echo sequence (GRASE) and conventional respiratory-trigger fast spin-echo sequence (FSE) for magnetic resonance urography (MRU). Image quality and diagnostic performance of urinary tract dilation from two data sets were evaluated by three radiologists. The results showed that 3D GRASE MRU had a better performance compared with the FSE MRU, indicating 3D GRASE technique could be a feasible option for 3D MRU. |
| 3681 | Booth 11
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Added value of deep learning-accelerated T2-weighted imaging of the bladder on image quality and lesion evaluation |
| Gumuyang Zhang1, Li Chen1, Hailong Zhou1, Yunna Wang1, Jinxia Zhu1, Marcel Dominik Nickel2, Elisabeth Weiland3, Hao Sun1, and Zhengyu Jin1 | ||
1Peking Union Medical College Hospital, Beijing, China, 2Siemens Healthineers Ltd., Beijing, China, 3MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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This study evaluated deep learning accelerated T2w imaging (T2DL) of the bladder in terms of acquisition time (TA), overall image quality, presence of artifacts, diagnostic confidence, sharpness of lesions, and VI-RADS T2 score compared to a standard T2w (T2S) sequence in twenty-five patients. Two radiologists evaluated the images independently. TA of T2DL was reduced by nearly 50% compared to T2S. Overall image quality and sharpness of lesions were superior in T2DL, while artifacts, diagnostic confidence and T2 score were similar between T2S and T2DL. T2DL has the potential to replace T2S in bladder MR. |
| 3682 | Booth 12
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The Comparison of Enhancing-part and Whole-lesion of ROI Measurements in MR Histogram Analysis of Clear Cell RCC and None Clear Cell RCC |
| Ming-Cheng Liu1,2, Yi-Jui Liu2,3, Pin-Sian Lyu3, Guan-Xin Pan3, Si-Wa Chan4,5,6, Yen-Ting Lin1,7, Siu-Wan Hung1,8,9, Jyh-Wen Chai1, and Kun-Yuan Chiu10,11 | ||
1Radiology, Department of Radiology, Taichung Veterans General Hospital, Taiwan, Taichung, Taiwan, 2Ph.D. Program of Electrical and Communications Engineering, Feng Chia University, Taichung, Taiwan, Taichung, Taiwan, Taiwan, 3Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan, Taichung, Taiwan, 4Department of Medical Imaging, Taichung Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taichung, Taiwan, Taichung, Taiwan, 5School of Medicine, Tzu Chi University, Hualien, Taiwan, Taichung, Taiwan, 6Department of Medical Imaging Radiological Science, Central Taiwan University of science and Technology, Taichung, Taiwan, Taichung, Taiwan, 7Institute of Clinical Medicine, National Yang-Ming University, Taiwan, Taichung, Taiwan, 8School of Medical Imaging and Radiological Sciences, Chung Shan Medical University, Taiwan, Taichung, Taiwan, 9Department of Veterinary Medicine, National Chung Hsing University, Taiwan, Taichung, Taiwan, 10Division of Urology, Department of Surgery, Taichung Veterans General Hospital, Taiwan, Taichung, Taiwan, 11Department of Applied Chemistry, National Chi Nan University, Taiwan, Taichung, Taiwan |
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Tumor necrosis, hemorrhage, and cystic change may influence the result of MR histogram analysis between ccRCC and ncRCC. We conducted EP ROI and WL ROI measurements of these two tumors. Five most important metrics were found in differentiation, including three EP ROI metrics on the T1 A and V phase, and the T2W images, and two WL ROI metrics on the DWI b800 images and the T2W images. Both EP ROI and WL ROI played a role in the diagnosis ccRCC and ncRCC. The addition of these two ROI measurements of histogram analysis to routine MRI evaluation may benefit diagnosis. |
| 3683 | Booth 13
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Application of DKI in the assessment of early renal injury in patients with DM |
| You-Zhen Feng1, Zhong-Yuan Cheng1, Long Qian2, and Xiang-Ran Cai1 | ||
1Medical Imaging Center, the First Affiliated Hospital of Jinan University, Guangzhou, China, 2MR Research,GE Healthcare, Beijing, China |
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Apply DKI technology to the assessment of early renal function changes in diabetic patients. These results indicate that the microstructure of kidney tissue may have changed in diabetic patients without clinically impaired renal function. In addition, the results of correlation analysis between DKI parameters and clinical laboratory indicators of renal function (HBA1, Uscr, and eGFR) show that there is a linear correlation between most of the parameters, which objectively confirms the feasibility of DKI parameters to reflect changes in renal function. |
| 3684 | Booth 14
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The feasibility of ASL combined with Q-flow MRI in evaluating hemodynamic changes of transplant renal artery stenosis |
| Liang Pan1, Jie Chen1, Wei Xing1, and Jilei Zhang2 | ||
1Third Affiliated Hospital of Soochow University, Changzhou, China, 2Philips Healthcare, Shanghai, China |
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Transplant renal artery stenosis (TRAS) is a less common but important etiology of renal dysfunction following transplantation. It is of great importance to include TRAS in the differential diagnosis for allograft dysfunction early after transplantation. We used ASL combined with 2D-PC Q-flow MRI to assess hemodynamic changes of TRAS. The results reflected that there were differences in the mean flux and velocity of the stenotic segment of transplant renal artery and renal allograft perfusion between different degrees of TRAS, and the mean flux and velocity were more closely related to the degree of TRAS compared with renal allograft perfusion. |
| 3685 | Booth 15
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A time-saving and optimized IVIM protocol for diagnosis of prostate cancer |
| qiqi zhou1, Weiyin Vivian Liu2, Qian Tang3, Ling Song1, Chao Liu1, Hu Chen1, and Lin Xu1 | ||
1Department of Radiology,Taihe hospital, Hubei University of Medicine, Hubei, China, 2GE Healthcare, Beijing, China, 3Biomedical Engineering College, Hubei University of Medicine, Hubei, China |
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It is of importance to acquire diffusion-weighted images with high image quality in a short time whereas higher b value and a greater number of b values reduce image quality and prolong scan time. In this study, we aimed to build an optimized protocol for IVIM in diagnosis of prostate cancer.We observed mean of all ADC, D, D* and f derived from IVIM with 5 b-value scheme showed almost the same diagnosis efficiency to IVIM with 13 b-value scheme, suggesting sensitivity and specificity were not different between different b-value scheme. |
| 3686 | Booth 1
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Radiomics Analysis of the Prostate Cancer Habitats in Diagnosing Extracapsular Extension on Multi-Parametric MRI |
| Yihong Zhang1, Ying Hou2, Jie Bao3, Yang Song4, Dongmei Wu1, Yu-dong Zhang2, Xu Yan4, and Guang Yang1 | ||
1Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 2Department of Radiology, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China, 3Department of Radiology, the First Affiliated Hospital with Soochow University, Soochow, China, 4MR Scientific Marketing, Siemens Healthineers Ltd, Shanghai, China |
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We extracted radiomics features from subregions of the area where the lesion was close to the capsular boundary to diagnose the extracapsular extension (ECE). The model was trained with 574 cases, using 5-fold cross-validation and evaluated with an independent internal test cohort of 144 cases and an external test cohort of 146 cases. The model built with subregion features achieved AUC (area under receiver operating characteristic curve) values of 0.792 and 0.713 on the internal and external test cohort, respectively, outperforming the model built with whole lesion features whose internal and external test AUCs are 0.724 and 0.581, respectively. |
| 3687 | Booth 2
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Comparison of detection rate using compressed SENSE accelerated 3D T2-weighted FSE acquisitions and standard 2D acquisitions in bladder cancer |
| Lei Ye1, Xiaoyong Zhang2, Yuntian Chen1, and Hui Xu1 | ||
1Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China, 2Clinical Science, Philips Healthcare, Chengdu, Sichuan, China |
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Conventional T2-weighted images using two-dimensional (2D) fast-spin-echo (FSE) are commonly used in clinical scanning of bladder, with a drawback of high missing rate. This study compared the BCa detection rate between compressed SENSE accelerated 3D and conventional 2D FSE T2WI within the same patients. The results showed that the accelerated 3D FSE T2-weighted acquisitions had excellent performance at detecting lesions smaller than 3cm and on the uncommon site of bladder wall. |
| 3688 | Booth 3
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DPG-BUDA: Distortion-free diffusion-weighted renal MRI in small rodents |
| Qiang Liu1,2,3, Yingjie Mei1,2,3, Quan Tao1,2,3, Qiqi Lu1,2,3, Xinyuan Zhang1,2,3, and Yanqiu Feng1,2,3 | ||
1School of Biomedical Engineering, Southern Medical University, Guangzhou, China, 2Guangdong Provincial Key Laboratory of Medical Image Processing & Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China, 3Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence & Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, China |
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We introduced blip-up/down acquisition (BUDA) strategy for interleaved 2-shot EPI to achieve motion robust, distortion-free rat renal diffusion-weighted imaging (DWI). Dual-polarity GRAPPA (DPG) method was implemented to correct Nyquist ghost artifact while simultaneously reconstructing the undersampled 2-shot data, then the field map was estimated from the opposing-distorted images. The field map was incorporated into a joint reconstruction with a structure low-rank constraint across the two shots to eliminate distortion and phase inconsistencies. DPG-BUDA permits high anatomical integrity while holding high scan efficiency for renal DWI in small rodents, it has the potential to benefit the characterization of the renal microstructure. |
| 3689 | Booth 4
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Synthetic MRI with quantitative mappings for identifying HER2-enriched breast cancers and differentiating them from other molecular subtypes |
| Weibo Gao1, Quanxin Yang1, and Xiaocheng Wei2 | ||
1Second Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China, 2GE Healthcare, MR Research China, Beijing, China |
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In this study, we aim to investigate whether quantitative parameters of synthetic MRI can be used to differentiate among molecular subtypes and prognostic factors in patients with breast cancer. It was concluded that SD of PD-Pre was significantly different between HER2-enriched and non-HER2-enriched breast cancers, which displayed optimal performance than others. Quantitative T2-Pre, T2-Gd, SD of PD-Pre, and SD of PD-Gd were significantly different in the molecular subtypes and can further differentiate luminal breast cancers from non-luminal subtypes. T1-Pre, T2-Pre, and SD of PD-Gd were significantly different between triple negative (TN) and non-TN breast cancers. |
| 3690 | Booth 5
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Predictive value of IVIM combined with DKI for breast cancer axillary lymph node metastasis: A retrospective study |
| Zhe Zhou1, Yueqin Chen1, Fan Zhao1, Zhanguo Sun1, Hao Yu1, Weiqiang Dou2, and Weiwei Wang1 | ||
1the affiliated hospital of Jining medical university, Jining, China, 2GE Healthcare, MR Research China, Beijing, China |
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An accurate preoperative prediction of axillary lymph node (ALN) metastasis is essential in clinic treatment. Intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI) have been reported as effective non-invasive imaging methods in reflecting internal complexity of tumors. Few studies have used DKI combined with IVIM in diagnosing ALN metastasis of breast cancer. Therefore, in this study we aimed to explore if IVIM and/or DKI was useful in evaluating the ALN metastasis. |
| 3691 | Booth 6
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Effects of oscillating frequency and SNR on quantifying microstructural properties in breast tumor using oscillating gradient diffusion MRI |
| Ruicheng Ba1, Xiaoxia Wang2, Zelin Zhang1, Hsu Yi-Cheng3, Yi Sun3, Jiuquan Zhang2, and Dan Wu1 | ||
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2Department of Radiology, Chongqing University Cancer Hospital, Chongqing, China, 3MR Collaboration, Siemens Healthineers Ltd., Shanghai, China |
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The oscillating frequency and SNR are important for accurate microstructural mapping in diffusion-time-dependent diffusion MRI, which however, are limited on clinical scanners. This study demonstrated that the dMRI acquisition protocol with frequency up to 50 Hz achieved significant higher accuracy than that with 33Hz, based on 1) Monte-carlo simulation, 2) clinical data on 37 breast tumor patients, and 3) correlation with histological data. Also, for the first time, we demonstrated the feasibility of oscillating gradient dMRI-based microstructural mapping in distinguishing breast tumor status clinically. |
| 3692 | Booth 7
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Differentiation of benign and malignant breast lesions using diffusion-weighted imaging with a fractional order calculus model |
| Guanying Wang1, Xingjun Gao1, Jianhong Li1, Dan Yang1, Dongmei Wu2, Yunfei Zhang3, Yongming Dai3, and Chunhong Wang3 | ||
1Department of Radiology, Xinyang Central Hospital, Xinyang, China, 2East China Normal University, Shanghai, China, 3Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Diffusion-weighted imaging (DWI) is a powerful tool for cancer imaging. Many advanced DWI techniques have been developed and applied during clinical practice. Since fractional order calculus (FROC) model was proposed, it has shown huge clinical potential for cancer diagnosis, prognostic prediction and so on. However, scarcely has the FROC-DWI been utilized for breast imaging. The purpose of this study is to demonstrate that a new set of parameters (D, β and μ) from a fractional order calculus (FROC) diffusion model can be used to improve the accuracy of differentiating among benign and malignant breast lesions. Results suggested it’s feasible to use FROC diffusion model to improve the differentiation between benign and malignant breast lesions. |
| 3693 | Booth 8
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Differentiation between benign and malignant breast masses using 3D amide proton transfer weighted imaging and dynamic contrast-enhanced MRI |
| Ruhua Wang1, Yan Zhang1, Liangjie Lin2, and Jingliang Cheng1 | ||
1Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Philips Healthcare, Beijing, China |
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This study evaluated the diagnostic value of dynamic contrast-enhanced MRI (DCE-MRI) combined with 3D amide proton transfer weighted imaging (APTWI) for differentiation between benign and malignant breast masses. Results indicated the quantitative MTRasym(3.5 ppm) value calculated by APTWI was significantly different between benign and malignant lesions, and the combination of APTWI and DCE-MRI improves the diagnostic performance for discriminating benign and malignant breast masses, especially category 4 masses. |
| 3694 | Booth 9
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3D Amide Proton Transfer-weighted Imaging In Evaluation Of Breast Lesions: Comparison With Diffusion-weighted Imaging |
| Ruhua Wang1, Yan Zhang1, Liangjie Lin2, and Jingliang Cheng1 | ||
1Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Philips Healthcare, Beijing, China |
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This purpose of this study is to investigate the value of 3D APTWI and evaluate the diagnostic efficacy of its combination with DWI for discriminating breast benign from malignant lesions. Results showed the MTRasym(3.5 ppm) value calculated by APTWI for malignant breast lesions were significantly lower than those of benign lesions, and APTWI combined with DWI obtained a better diagnostic performance than the single method. Therefore, APTWI is a novel technique, which can be used to differentiate breast benign from malignant lesions noninvasively. |
| 3695 | Booth 10
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The value of diffusion-weighted imaging and dynamic contrast-enhanced imaging in the differential diagnosis of male breast diseases |
| Ruhua Wang1, Yan Zhang1, and Jingliang Cheng1 | ||
1Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China |
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The male breast is often ignored because of its rudimentary and nonfunctional nature. However, the male breast can develop many benign and neoplastic diseases, including breast cancer.Much less is known regarding the appearance of benign and malignant male breast conditions. Therefore, in this retrospective study, we explored the value of diffusion-weighted imaging (DWI) and dynamic contrast-enhanced imaging (DCE-MRI) in the differential diagnosis of male breast diseases and confirmed the importance of DWI and DCE-MRI in the end. |
| 3696 | Booth 11
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Fabrication and evaluation of bilateral Helmholtz radiofrequency coil for thermo-stable breast image with reduced artifacts |
| Young Han Lee1, Kyu-Ho Song2, Jaemoon Yang1, Won Jun Kang3, Keum Sil Lee4, Min Jung Kim3, Eun-Kyung Kim1, Dan Heo1, Bo-Young Choe5, and Jin-Suck Suh1 | ||
1Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea, Republic of, 2Department of Radiology, Washington University School of Medicine, St. Louis, MO, United States, 3Department of Nuclear Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea, Republic of, 4Department of Radiology, Stanford University School of Medicine, Stanford, CA, United States, 5Department of Biomedical Engineering, and Research Institute of Biomedical Engineering, College of Medicine, The Catholic University of Korea, Seoul, Korea, Republic of |
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The positron emission tomography (PET)-magnetic resonance (MR) system is a newly emerging technique that yields hybrid images with high-resolution anatomical and metabolic information. With PET-MR imaging, a definitive diagnosis of breast abnormalities will be possible with high spatial accuracy and images will be acquired for the optimal fusion of anatomic locations. Therefore, we propose a PET-compatible 2-channel breast MR coil with minimal disturbance to image acquisition which can be used for simultaneous PET-MR imaging in patients with breast cancer. |
| 3697 | Booth 12
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Kidney segmentation in MR images using CT-trained ResUNet and transfer learning |
| Chang Ni1, Zhe Wang2, Mengkang Lu3, and Jeff L. Zhang1 | ||
1Vascular and Physiologic Imaging Research (VPIR) Lab, School of Biomedical Engineering, ShanghaiTech University, Shanghai, China, 2X-ray Systems Lab, School of Biomedical Engineering, ShanghaiTech University, Shanghai, China, 3SAIIP, School of Computer Science and Technology, Northwestern Polytechnical University, Xi'an, China |
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Kidney segmentation is often necessary for analyzing renal MRI data. Deep learning approach shows much promise, but typically requires large numbers of images for model training. In this study, we explored the feasibility of segmenting MRI images using ResUNet pre-trained with CT images and fine-tuning with transfer learning. The fine-tuning step used 60 MRI images (from 5 subjects) only. The trained model performed excellently in segmenting an independent set of MRI images, with DICE similarity of 0.94 and volume error of 13%±9%. This study demonstrates the power of transfer learning in utilizing images of a different modality in kidney segmentation. |
| 3698 | Booth 13
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Diagnostic value of adding MRI to CT examination for evaluating cystic renal masses using the 2019 Bosniak classification. |
| Yuki Arita1, Soichiro Yoshida2, Thomas C Kwee3, Hirotaka Akita1, Hiromi Edo4, Ryo Takeshita1, Haruka Okamura1, Misa Nagasaka1, Ryo Ueda5, Shigeo Okuda1, and Yasuhisa Fujii2 | ||
1Radiology, Keio University School of Medicine, Tokyo, Japan, 2Urology, Tokyo Medical and Dental University Graduate School, Tokyo, Japan, 3Radiology, University Medical Center Groningen, Groningen, Netherlands, 4Radiology, National Defence Medical College, Saitama, Japan, 5Radiation Technology, Keio University Hospital, Tokyo, Japan |
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We compared the interobserver agreement and diagnostic performance of CT alone and combined CT/MRI among two groups of readers (radiologists and residents) using the 2019 Bosniak classification (BC2019) to determine the malignancy of cystic renal masses (CRMs). Our study demonstrated that combined CT/MRI resulted in substantially high interobserver agreement between radiologists and residents. In addition, the diagnostic performance for category III/IV malignancy improved significantly for residents with combined CT/MRI when compared with evaluations based on CT alone. Thus, combined CT/MRI may be useful for diagnosing malignancy in CRMs, especially for non-expert readers, using the (BC2019). |
| 3699 | Booth 14
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A new radiomic tool based on apparent diffusion coefficient to predict the pathological grade of Bladder Cancer |
| Danyan Li1, Cheng Wang1, Chuanqi Sun2, Jie Meng1, Jilei Zhang3, Chengyu Ding3, Zijian Bian3, and Bing Zhang1 | ||
1department of radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China, 2Department of Biomedical Engineering, Guangzhou Medical University, Guangzhou, China, 3Philips Healthcare, Shanghai, China |
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The present study tried to develop a new radiomics tool based on apparent diffusion coefficient to predict the pathological grade of Bladder cancer (BCa). The results demonstrate that the radient boosting classifier (GBC) achieved the best effect in distinguishing pathological low or high grade of bladder cancer. And GBC also shows the best accuracy when we added the arch bridge sign on MRI as a new feature. This classification performance may suggest that the proposed method is a promising approach for preoperatively evaluating pathological grade in bladder cancer, which is very important for the choice of clinical treatment options. |
| 3700 | Booth 15
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Evaluation of isotropic high-resolution IRIS diffusion-weighted MRI in bladder cancer: clinical experience |
| Hui Xu1, Lei Ye2, Yuntian Chen2, and Xiaoyong Zhang3 | ||
1radiology, westchina hospital, Chengdu, China, 2westchina hospital, Chengdu, China, 3Philips Healthcare, Chengdu, China |
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Conventional single-shot echo planar imaging is widely used in bladder DWI for evaluating the malignant degree of lesions, however, it usually suffers from magnetic susceptibility artifacts and image blurring, which have limitations to identify the small lesions or lesions presented as slightly thickened bladder wall. This study this study was to investigate the feasibility and effectiveness of isotropic high-resolution IRIS DWI for the evaluation bladder lesions at 3T. The results suggested that the IRIS DWI with isotropic high resolution can effectively improve image quality and diagnostic confidence for bladder lesions. |
| 3701 | Booth 1
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Simplified VI-RADS based on biparametric MRI for the detection of muscle-invasive bladder cancer |
| Lei Ye1, Xiaoyong Zhang2, Yuntian Chen1, and Hui Xu1 | ||
1Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China, 2Clinical Science, Philips Healthcare, Chengdu, Sichuan, China |
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There are different opinions about the importance of dynamic contrast enhancement (DCE) in VI-RADS among patients with bladder cancer (BCa), for the limited contribution for identifying muscle invasiveness and gadolinium-related toxicity. This study head-to-head compared the diagnostic accuracy between simplified VI-RADS excluding DCE sequence and conventional VI-RADS including DCE sequence. Our results showed that the diagnostic performance was comparable between these two MRI protocols. |
| 3702 | Booth 2
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MRI in the differential diagnosis of angular pregnancy and interstitial pregnancy during the first trimester |
| Wenjuan Liu1, Weili Xie2,3, and Zhenchang Wang1 | ||
1Beijing Friendship Hospital Affiliated to Capital Medical University, Beijing, China, 2School of Clinical Medicine, Jining Medical University, Jining, China, 3Jining No. 1 Peoples’ Hospital, Jining, China |
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The study evaluated the accuracy of MRI in the diagnosis of 22 angular pregnancy cases and 37 interstitial pregnancy cases retrospectively during the first trimester. Two senior obstetrics radiologists reviewed the MR images and analyzed several features. The study found two key features were useful to diagnose angular pregnancy, namely, “medial free edge” and “medial free edge plus above-cutoff endometrial thickness”. One key feature to diagnose interstitial pregnancy was “intact lateral junctional zone”. MRI is a novel imaging approach to make the precise differential diagnosis of angular pregnancy and interstitial pregnancy. |
| 3703 | Booth 3
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An automatic pipeline combining deep learning and radiomics to predict placenta accrete spectrum disorders from T2W MR images |
| Haijie Wang1, Yida Wang1, Lei Ling2, Jue Wang3, Xiaotian Li3, Hao Zhu3, He Zhang2, and Guang Yang1 | ||
1Shanghai key lab of magnetic resonance, East China Normal University, Shanghai, China, 2Department of Radiology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China, 3Department of Obstetrics, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China |
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Placenta accrete spectrum (PAS) disorders may lead to common complication like catastrophic perinatal hemorrhage. T2W is the most useful MRI sequence for identification of PAS disorders, but the diagnosis of PAS is often difficult and highly subjective. To overcome this problem, we automatically segmented the placental regions by nnU-Net and used radiomics features extracted from the segmented region to build a radiomics-clinical model for identification of placenta invasion. 512 pregnant women were enrolled in this study. Our segmentation model achieved a mean Dice coefficient of 0.890 and the classification model achieved an AUC of 0.849 on the independent validation cohort. |
| 3704 | Booth 4
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MR-based radiomics-clinical nomogram in epithelial ovarian tumor prognosis prediction: a comparison of effectiveness of multiple MR sequences |
| Haijie Wang1, Yida Wang1, Tianping Wang2, Xuefen Liu2, Lei Ling2, Guofu Zhang2, He Zhang2, and Guang Yang1 | ||
1Shanghai key lab of magnetic resonance, East China Normal University, Shanghai, China, 2Department of Radiology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China |
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To compare radiomics-clinical nomograms based on various sequence MR images in predicting epithelial ovarian tumor prognosis status. A total of 186 patients with epithelial ovarian cancer pathologically proven by invasive procedure were enrolled. The single-sequence and paired-sequence radiomics signatures were constructed for T2W, T1W, DWI and CE-T1W images. And the T2W radiomic-clinical nomogram achieved a favorable prediction performance in the validation cohort with an AUC of 0.818. And it was also found the T2W radiomic-clinical nomogram was better than other models with a greater clinical net benefit. |
| 3705 | Booth 5
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Correlation between Ki67 expression and DKI in ovarian cancer |
| Xianglin Guo1, Qinglin Song1, Ye Li1, Yulin Chen1, and Ailian Liu1,2 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Dalian Engineering Research Center for Artificial Intelligence in Medical Imaging, Dalian, China |
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Symptoms of ovarian cancer are concealed, it is difficult to diagnose early, and the mortality rate is very high. DKI imaging can sensitively detect microstructure changes in tumor tissue and help preoperative assessment of Ki67 expression. This paper aims to study the correlation between Ki67 expression and DKI in ovarian cancer. The results show that the MK, Ka, Kr, MD, Da and Dr values in the DKI parameters have obvious correlation with Ki-67 expressions, and that the MK, Ka, and Kr values in DKI parameters were positive correlation with Ki-67 expression levels, and the difference was statistically significant. |
| 3706 | Booth 6
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Texture analysis of multiparametric MRI in the diagnosis of the ovarian sex cord-stromal tumors (SCSTs) |
| hui zhang1,2 and hui zhang1 | ||
1Beijing Hospital, Beijing, China, 2Nanjing Meishan Hospital, Nanjing, China |
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The accurate diagnosis of malignant SCSTs is still a challenge. We retrospectively analyzed the MRI texture features of 69 cases, and used t-test, one-way ANOVA, the Mann-Whitney U-test and ROC curve to evaluate these parameters. The results showed that the derived texture parameters may be valuable tool in predicting malignant SCSTs. |
| 3707 | Booth 7
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Intravoxel Incoherent Motion (IVIM) DiffusionWeighted imaging in quantitatively evaluation of WT-1 expression in Ovarian Cancer |
| Jiajun Guo1, Ye Li1, Ailian Liu1, and Yulin Chen1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, Dalian, China |
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Ovarian cancer (OC) behaves more aggressively and has a worse prognosis than any other cancer involving the female genital tract. WT-1 was significantly upregulated in human OC tissues and closely associated with OC type, grade and FIGO stage. This worked aimed at exploring the value of Intravoxel incoherent motion (IVIM) quantitative parameters for diagnosis of WT-1 positive OC. The results showed that D value provided a promising performance (AUC = 0.740, sensitivity= 88.2%, specificity= 70.6 %) in quantitatively evaluating WT-1 positive OC. |
| 3708 | Booth 8
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Comparison between Biparametric and Multiparametric MRI for Detection of Prostate Cancer in the Peripheral Zone using PI-RADS Version 2.1 |
| Jiahui Zhang1, Lili Xu2, Gumuyang Zhang2, Hao Sun2, and Zhengyu Jin2 | ||
1Department of Radiology, Peking Union Medical College Hospital, Beijing, China, 2Peking Union Medical College Hospital, Beijing, China |
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This study aimed to compare and analyse the diagnostic value of PI-RADS v2.1 when used with bpMRI versus mpMRI, DWI versus T2WI to detect peripheral-zone prostate cancer (pzPCa) and clinically significant prostate cancer (csPCa). The diagnostic efficiencies of mpMRI and bpMRI as well as DWI and T2WI in pzPCa and csPCa were compared using a PI-RADS score of ≥4 as the positive threshold and pathologic results as the gold standards. MpMRI and bpMRI as well as DWI and T2WI using PI-RADS v2.1 exhibited similar diagnostic efficiency in pzPCa and csPCa, whereas bpMRI demonstrated increased diagnostic specificity compared with mpMRI. |
| 3709 | Booth 9
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Comparison of Multiplexed Sensitivity Encoding and Reduced Field-of-view Technique for Diffusion-Weighted Imaging of the Prostate |
| Atsushi Nakamoto1, Hiromitsu Onishi1, Takahiro Tsuboyama1, Takashi Ota1, Hideyuki Fukui1, Kazuya Ogawa1, Keigo Yano1, Kengo Kiso1, Toru Honda1, Mitsuaki Tatsumi1, and Noriyuki Tomiyama1 | ||
1Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita, Japan |
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The image quality and diagnostic performance of diffusion weighted imaging (DWI) using multiplexed sensitivity encoding (MUSE) and DWI using reduced field-of-view (rFOV) technique in detecting prostate cancer were compared. Visual scores of MUSE-DWI regarding the visibility of prostate anatomy and overall image quality were significantly higher than those of rFOV-DWI. The diagnostic performance in detecting prostate cancer was not significantly different between MUSE-DWI and rFOV-DWI. MUSE yielded high quality DWI without reducing FOV and is expected to be more useful than rFOV technique for evaluation of the prostate including lymph node metastasis. |
| 3710 | Booth 10
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CEST vs. DWI: Capability for Distinguishing Malignant from Benign Prostatic Areas in Patients with Prostatic Cancer |
| Takahiro Ueda1, Yoshiharu Ohno1,2, Kaori Yamamoto3, Masao Yui3, Masato Ikedo3, Saki Takeda4, Akiyoshi Iwase4, Yuka Oshima1, Nayu Hamabuchi1, Satomu Hanamatsu1, Yuki Obama1, Hiroyuki Nagata1, Hirotaka Ikeda1, 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, 3Canon Medical Systems Corporation, Otawara, Japan, 4Radiology, Fujita Health University Hospital, Toyoake, Japan |
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We hypothesize that CEST is at least as valuable as DWI and may have a potential to improve differentiation capability of malignant from benign prostatic areas as one of the combined quantitative discriminators on prostatic MR imaging. The purpose of this study was to compare the capability for distinguishing malignant from benign areas among CEST, DWIs at standard and super high b values and combined quantitative discriminator in suspected prostatic cancer patients. |
| 3711 | Booth 11
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Feasibility of synthetic short TR and short TE DWI in prostate cancer |
| Yu Ueda1, Tsutomu Tamada2, Hiroyasu Sanai2, Kazunori Moriya2, Ayumu Kido2, Makoto Obara1, Tetsuo Ogino1, and Marc Van Cauteren3 | ||
1Philips Japan, Ltd., Tokyo, Japan, 2Department of Radiology, Kawasaki Medical School, Okayama, Japan, 3Philips Healthcare, Asia Pacific, Tokyo, Japan |
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Diffusion-weighted imaging (DWI) with shorter echo time (TE) could be exploited to improve diffusion contrast by minimizing T2 shine-through due to longer T2 in normal prostate. However, clinical magnetic resonance imaging (MRI) scanner has limitation in shortening TE in conventional DWI. It would be beneficial to generate additional DWI with short TE from DWIs with two different TE, in addition to short repetition time (TR) which improvement of diffusion contrast has been reported. The synthetic DWI with shorter TR (1000 ms) and TE (1 ms) tended to show better diffusion contrast than real-acquired DWI with conventional TR and TE. |
| 3712 | Booth 12
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SNR enhancement in rapid high b-value prostate single-shot DW-EPI utilizing deep learning constrained Compressed SENSE reconstruction |
| Masami Yoneyama1, Takashige Yoshida2, Jihun Kwon1, Yasutomo Katsumata3, Shuo Zhang4, and Marc Van Cauteren3 | ||
1Philips Japan, Tokyo, Japan, 2Tokyo Metropolitan Police Hospital, Tokyo, Japan, 3Philips Healthcare, Best, Netherlands, 4Philips GmbH Market DACH, Hamburg, Germany |
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DWI is a key component of the prostate MRI examination, but current prostate DWI images acquired with high b-value DWI using SENSE often suffer from increased noise artifacts. We propose to utilize a deep learning constrained Compressed SENSE (CS-AI) for reducing the noise artifacts in single-shot DW-EPI images. CS-AI DWI clearly reduces noise-like artifacts, boosts the overall SNR and significantly improves the accuracy and robustness of ADC values in rapid high b-value prostate DWI compared with conventional SENSE- and CS-DW-EPI, without any penalty for scan parameters. |
| 3713 | Booth 13
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Accelerated high-resolution T2-weighted imaging for prostate with a deep learning constrained Compressed SENSE reconstruction |
| Jihun Kwon1, Takashige Yoshida2, Masami Yoneyama1, and Marc Van Cauteren3 | ||
1Philips Japan, Tokyo, Japan, 2Tokyo Metropolitan Police Hospital, Nakano, Japan, 3Philips Healthcare, Best, Netherlands |
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T2-weighted (T2W) imaging is used to depict prostate anatomy. However, T2W imaging with high spatial resolution, which is required by PI-RADSv2, is not always performed because of the long scan time. In this study, we investigated the use of Compressed SENSE AI (CS-AI) reconstruction to accelerate high-resolution T2W imaging of the prostate. The image quality of CS-AI reconstruction, conventional Compressed-SENSE (C-SENSE), and SENSE were compared qualitatively and quantitatively. Clinical cases demonstrated a significant noise reduction in accelerated CS-AI. CS-AI also showed a significantly higher contrast-to-noise ratio in CS-AI compared to SENSE and C-SENSE. |
| 3994 | Booth 1
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Association of Fibroglandular Tissue ADC features on Diffusion-weighted MRI with Breast Cancer Risk |
| Wesley Surento1, Anum S. Kazerouni2, Janis Yee2, Debosmita Biswas2, Daniel S. Hippe3, Habib Rahbar2, and Savannah C. Partridge2 | ||
1Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States, 2Department of Radiology, University of Washington, Seattle, WA, United States, 3Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States |
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In this study, we investigated the association of fibroglandular tissue (FGT) apparent diffusion coefficient (ADC) measures with risk of breast cancer. Whole breast FGT regions were segmented on diffusion-weighted MRI (DWI) using a semi-automated fuzzy c-means-based algorithm. In high-risk screening cohort, ADC measures of FGT were compared in subjects with subsequent cancer diagnosis versus matched negative controls. Our findings indicate a modest negative association between FGT ADC and subsequent cancer diagnosis, with greater predictive value than mammographic density in the same cohort, pointing to the possible utility of DWI in the assessment of breast cancer risk. |
| 3995 | Booth 2
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Multi-site, longitudinal assessment of quantitative breast MRI variability using the CaliberMRI phantom |
| Jessica Gibbs1, Nu Le1, Todor Karaulanov2, Lisa Wilmes1, David Newitt1, Kathryn Keenan3, Bonnie Joe1, and Nola Hylton1 | ||
1University of California, San Francisco, San Francisco, CA, United States, 2CaliberMRI, Boulder, CO, United States, 3National Institute of Standards and Technology, Boulder, CO, United States |
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Quantitative breast MRI data was acquired at seven clinical sites using the CaliberMRI phantom. T1 and DWI data were acquired, and the qCal software was used for analysis. Protocol adherence was assessed, quantitative measures were automatically derived, and variability between measurements was evaluated. Going forward, the phantom will be used for calibration as part of a program to assess quantitative accuracy in a large multi-site clinical trial. The phantom program will be expanded to other sites in the trial, with standardized reporting used to understand variability across sites. |
| 3996 | Booth 3
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Whole-lesion ADC histogram and texture analysis of preoperatively differentiating benign endometrial lesions from stage IA endometrial cancer |
| Jieying Zhang1, Xiaoduo Yu1, Shuang Chen1, Lizhi Xie2, Yan Chen1, and Han Ouyang1 | ||
1Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, 2MR Research, GE Healthcare, Beijing, China |
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Making an accurate preoperative diagnosis of endometrial lesions is critical to avoid unnecessary surgical procedures and protect the patients’ fertility. Noninvasive pre-surgical evaluation of abnormalities in the uterine cavity remains to be challenging. The volumetric ADC histogram analysis provides a mechanism for quantifying the overall heterogeneity and comprehensive assessment of a given abnormality. We demonstrated that whole-lesion ADC histogram-based texture analysis could serve as a quantitative technique of differentiating benign endometrial lesions (BELs) from stage IA endometrial cancer (EC) preoperatively. The combined ADC histogram model showed high classification ability for both premenopausal and postmenopausal patients. |
| 3997 | Booth 4
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Preliminary study of extracellular volume fraction in identifying pathological risk factors of early cervical cancer |
| Wei Wang1, Yunxi Li1, Mengchao Zhang 1, and Yueluan Jiang2 | ||
1Department of Radiology, China Japan Union Hospital, Changchun, China, 2MR Scientific Marketing, Siemens Healthineers, Beijing, China |
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This study explored the feasibility of ECV based on T1 mapping evaluate early cervical cancer pathological characters, such as deep stromal invasion (DSI) and lymphovascular space invasion (LVSI). The ECV in the group with exceeding deep 1/2 of stromal invasion was significantly higher than that of the non-exceeding 1/2 group. DSI group was significantly higher than that in the non-DSI group. Our research shows that ECV based on T1 mapping could represent an emerging preoperative imaging biomarker for the classification of DSI of early cervical cancer. |
| 3998 | Booth 5
|
Transcytolemmal water exchange in prostate manifest via DCE-MRI and DWI kurtosis imaging |
| Xin Li1, Ryan P Kopp2,3, Eric M Baker1, Brendan Moloney1, William D. Rooney1, Charles S Springer1, Fergus V Coakley4, and Mark G. Gartotto2,3 | ||
1Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, United States, 2Portland VA Medical Center, Portland, OR, United States, 3Urology, Oregon Health & Science University, Portland, OR, United States, 4Diagnostic Radiology, Oregon Health & Science University, Portland, OR, United States |
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Transcytolemmal water exchange effects are quantified with SSM-DCE MRI and DWI kurtosis imaging with b-values up to 2000 s/mm2. The two-dimensional scatter plot of the unidirectional cellular water efflux rate constant (kio) and the diffusion kurtosis (K) shows good separation between lesion and normal appearing prostate tissue. |
| 3999 | Booth 6
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A Data-Driven Sequential Backward Selection Framework to Accelerate Diffusion-Relaxation Prostate Microstructure Mapping |
| Zhaohuan Zhang1, Sohrab Afshari Mirak1, Melina Hosseiny1, Afshin Azadikhah1, Amir Bajgiran1, Alan Priester2, Kyunghyun Sung1, Anthony E Sisk3, Robert E Reiter2, Steven Raman1, Dieter R Enzmann1, and Holden H Wu1 | ||
1Department of Radiology, UCLA, Los Angeles, CA, United States, 2Department of Urology, UCLA, Los Angeles, CA, United States, 3Department of Pathology, UCLA, Los Angeles, CA, United States |
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Diffusion-Relaxation Correlation Spectrum Imaging (DR-CSI) can provide unique microstructural information for prostate cancer characterization, but requires longer scan times for two-dimensional encoding of TE and b-values. This study developed a data-driven sequential backward selection framework that determined subsampled encoding schemes for DR-CSI, achieving 70% reduction of scan time to 6min while maintaining accurate ex vivo prostate microstructure mapping. |
| 4000 | Booth 7
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Assessment of Placental Perfusion in Normal and Hypertensive Pregnancies using pCASL at 3T: Preliminary Findings |
| Yiming Wang1, Christina L. Herrera2, David M. Owen2, Quyen N. Do1, Yin Xi1,3, Matthew A. Lewis1, Baowei Fei1,4,5, Catherine Y. Spong2, Diane M. Twickler1,2, and Ananth J. Madhuranthakam1,4 | ||
1Department of Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 2Department of Obstetrics and Gynecology, UT Southwestern Medical Center, Dallas, TX, United States, 3Department of Population and Data Sciences, UT Southwestern Medical Center, Dallas, TX, United States, 4Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States, 5Department of Bioengineering, University of Texas at Dallas, Richardson, TX, United States |
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Measuring placental perfusion can provide important information about its function. Arterial Spin Labeled (ASL) MRI is a non-contrast perfusion imaging method particularly suitable in pregnancy as it does not require an exogenous contrast. We performed a preliminary assessment of placental perfusion in pregnant subjects, both normal and with CHTN, at 16-20 week and 24-28 week gestational ages. Perfusion reduction was observed in all 5 normal subjects and in 75% (12 of 16) of the subjects with CHTN. This could provide important information about perfusion changes during pregnancy and can serve as a precursor for a larger-scale longitudinal study in CHTN. |
| 4001 | Booth 8
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Standardization of breast dynamic contrast-enhanced MRI signal for assessment of background parenchymal enhancement rate |
| Milica Medved1, Keiko Tsuchiya2, Xiaobing Fan1, Gregory S Karczmar1, and Hiroyuki Abe1 | ||
1Department of Radiology, The University of Chicago, Chicago, IL, United States, 2Department of Radiology, Shiga University of Medical Science, Otsu, Japan |
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Breast DCEMRI signal is standardized for variable imaging protocols and the linear rate of background parenchymal enhancement (BPE) is calculated, to quantitatively and objectively describe changes in BPE rates following preventative tamoxifen treatment. This is in contrast with the current practice of using 4 subjective categories to describe BPE. Decreased BPE rates post-treatment agree with earlier results showing that BPE, like breast density, correlates with breast cancer risk. Standardization for imaging parameters and contrast agent relaxivity increases the observed effect size, pointing to increased sensitivity to treatment-induced changes and the potential as a tool for individual breast cancer risk management. |
| 4002 | Booth 9
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Bilateral asymmetry of early parenchymal kinetics predicts response of breast cancer to neoadjuvant therapy |
| Zhen Ren1, Federico D. Pineda1, Frederick M. Howard2, Elle Hill1, Teodora Szasz3, Rabia Safi1, Milica Medved1, Rita Nanda2, Thomas E. Yankeelov4,5,6,7,8,9, Hiroyuki Abe1, and Gregory S. Karczmar1 | ||
1Radiology, The University of Chicago, Chicago, IL, United States, 2Medicine, The University of Chicago, Chicago, IL, United States, 3Research Computing Center, The University of Chicago, Chicago, IL, United States, 4Biomedical Engineering, The University of Texas at Austin,, Austin, TX, United States, 5Diagnostic Medicine, The University of Texas at Austin, Austin, TX, United States, 6Oncology, The University of Texas at Austin, Austin, TX, United States, 7Institute for Computational and Engineering Sciences, The University of Texas at Austin, Austin, TX, United States, 8Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX, United States, 9Imaging Physics, MD Anderson Cancer Center, Houston, TX, United States |
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We retrospectively reviewed data from 23 patients who received neoadjuvant therapy (NAT) and were scanned with a protocol that included ultrafast DCE-MRI (temporal resolution = 3-7 seconds) for the first minute after contrast injection prior to NAT. We measured parenchymal kinetics from ipsi- and contra-lateral normal parenchyma separately, so that new parameters related to bilateral parenchymal enhancement asymmetry could be calculated. The results showed that patients with similar pre-NAT parenchymal enhancement kinetics in ipsi- and contralateral normal parenchyma were more likely to achieve pCR post NAT ($$$p < 0.02$$$). |
| 4003 | Booth 10
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Deep learning identification of clear cell renal carcinoma cancer using MR imaging |
| Junyu Guo1, Keith Husley1, Yin Xi1, and Ivan Pedrosa1 | ||
1Radiology, UT southwestern medical center, Dallas, TX, United States |
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Clear cell renal carcinoma cancer (ccRCC) is the most common subtype among renal masses. ccRCC identification helps in decision making between active surveillance and definitive intervention. A clear cell likelihood score (ccLS) using subjective interpretation of multiparametric MRI by radiologists was proposed recently. In this study, we investigate whether deep learning (DL) using the three main MR sequences for ccLS can facilitate the diagnosis of ccRCC. We compared the results of twelve trained DL models with the reported ccLS performance. Our results demonstrate that DL may achieve a performance comparable to radiologists and provide useful information for identification of ccRCC. |
| 4004 | Booth 11
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Development of a MRI radiomic-based ML model to predict aggressiveness of prostate cancer |
| Ignacio Dominguez1, Paola Caprile2, Odette Rios2, Ignacio San-Francisco3, and Cecilia Besa 1 | ||
1Radiology, Pontificia Universidad Catolica de Chile, Santiago, Chile, 2Physics, Pontificia Universidad Catolica de Chile, Santiago, Chile, 3Urology, Pontificia Universidad Catolica de Chile, Santiago, Chile |
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We developed a non-invasive tool to predict the GS classification of PCa based on mpMRI information using ML. This retrospective study included 86 male patients with positive PCa fusion (mpMRI-ultrasound) biopsy. A radiomic analysis was performed considering first order, textural, shape, and clinical information. The best model found included image (T2w - ADC) and clinical information. The mean AUC was 0.91 [0.75−0.99] (p <0.05), with a validation AUC of 0.91 for a classification of high-lower aggressiveness (GS≥7 vs GS=6). Combining MRI-based radiomic and clinical information can significantly improve the model performance to classify PCa aggressiveness. |
| 4005 | Booth 12
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Navigator-based slice tracking for kidney pCASL using EPI acquisition |
| Ke Zhang1,2, Simon M.F. Triphan1, Felix T. Kurz2, Chrstian H. Ziener2, Hans-Ulrich Kauczor1, Heinz-Peter Schlemmer2, and Oliver Sedlaczek1,2 | ||
1Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany, 2Department of Radiology, German Cancer Research Center, Heidelberg, Germany |
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Renal perfusion is an important physiological parameter in health and disease (1). To measure kidney perfusion using arterial spin labelling (ASL) the respiratory motion is a major problem. In this study, respiratory motion information is acquired from a projection signal and used to adjust the position of the excited slice in real time. The feasibility of free-breathing multi-slice kidney perfusion imaging using EPI based pseudocontinuous ASL (pCASL) with navigator-based slice tracking method is investigated. |
| 4006 | Booth 13
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Observations on Rapid Dynamic Contrast Enhanced MRI in Prostate Cancer |
| Armando Tartaro1,2, Roberto Renzetti3, Michele De Cristofaro Aulisa4, Federica Morrone5, Andrea De Nicola6,7, Ekaterina Bliakharskaia7, and Paul E Summers7 | ||
1Department of Clinical, Oral and Biotechnology Sciences, University "G. d'Annunzio" Chieti-Pescara, Chieti-Pescara, Italy, 2Magnetic Resonance Service, Ospedale di Popoli, AUSL, Pescara, Italy, 3UOC of Urology, Ospedale di Pescara, AUSL, Pescara, Italy, 4Faculty of Medicine, University "G. d'Annunzio“, Chieti-Pescara, Chieti-Pescara, Italy, 5Radiology Department, Centro Morrone, Caserta, Italy, 6Ospedale di Chieti, Chieti, Italy, 7QMRI Tech, Pescara, Italy |
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Prostate dynamic contrast-enhanced (DCE) MRI is often criticized for its weaknesses in terms of discriminating transition zone lesions and tumors in general. Using high-temporal resolution DCE MRI in patients who went on to prostatectomy, we evaluated time to peak (TTP), as well as the enhancement rate factor, and initial enhancement slope of a simple empirical mathematical model of early contrast uptake. Differences between tumors and surrounding healthy tissues were seen for the mean values of all three parameters. The AUCs were good (>0.8 in all cases except for TTP between tumor and transition zone) but case numbers limited. |
| 4007
|
Booth 1
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Early treatment re-direction based on functional tumor volume at 3 and 6-week MRI for breast cancer patients undergoing neoadjuvant chemotherapy |
| Natsuko Onishi1, Jessica Gibbs1, Wen Li1, David C. Newitt1, Elissa R. Price1, Barbara LeStage2, William F. Symmans3, Angela DeMichele4, Christina Yau5, The I-SPY 2 Imaging Working Group6, The I-SPY 2 Consortium6, Laura J. Esserman5, and Nola M. Hylton1 | ||
1Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2I-SPY 2 Advocacy Group, San Francisco, CA, United States, 3MD Anderson Cancer Center, Houston, TX, United States, 4University of Pennsylvania, Philadelphia, PA, United States, 5Department of Surgery, University of California, San Francisco, San Francisco, CA, United States, 6Quantum Leap Healthcare Collaborative, San Francisco, CA, United States |
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In the I-SPY2 breast cancer trial, functional tumor volume (FTV) derived from dynamic contrast-enhanced MRI is used as a longitudinal measure of response to adjust patient randomization and evaluate drug efficacy. I-SPY2 is introducing a treatment “escalation” option, giving patients the opportunity to re-direct to potentially more effective treatment based on early indication of inferior response by MRI. We retrospectively investigated the ability of FTV reduction to predict inferior outcome. Combined criteria using FTV reduction at 3 and 6 weeks of treatment showed high PPV and high sensitivity in early detection of non-responders. |
| 4008 | Booth 2
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Histological validation of prostate tissue composition measurement using Hybrid Multidimensional MRI: Agreement with pathologists’ measures |
| Aritrick Chatterjee1,2, Tatjana Antic3, Alexander J Gallan4, Gladell P Paner3, Lawrence I-Kuei Lin5, Gregory S Karczmar1,2, and Aytekin Oto1,2 | ||
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, 3Department of Pathology, University of Chicago, Chicago, IL, United States, 4Department of Pathology, Medical College of Wisconsin, Medical College of Wisconsin, WI, United States, 5JBS Consulting Services Inc., Carlsbad, CA, United States |
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We validated prostate tissue composition measured using HM-MRI by comparing with reference standard results from pathologists’ interpretation of clinical histopathology slides following whole mount prostatectomy. We are 95% confident that 90% of absolute paired differences (TDI0.9) between HM-MRI and consensus results of pathologists were within 20.6% and 24.2% in measuring epithelium and lumen fractional volumes, respectively. These were less than our criterion of 30% and inter-pathologists’ agreement (22.3% for epithelium and 24.2% for lumen). Therefore, we accept the agreement performance of HM-MRI in measuring tissue composition measurement and consensus of pathologists is on par with the inter-raters (pathologists) agreement. |
| 4009
|
Booth 3
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Renal mass assessment using Ultrashort Time-to-Echo sequences with ferumoxytol |
| Tianyi Zhou1, Liam Timms1, Aya Hamadeh2, David Drew3, Mukesh Harisinghani2, and Srinivas Sridhar1 | ||
1Department of Physics, Northeastern University, Boston, MA, United States, 2Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 3Tufts Medical Center, Boston, MA, United States |
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A ferumoxytol-enhanced MRA technique using Ultrashort Time-to-Echo (UTE) sequences is demonstrated for kidney vasculature mapping and renal mass assessment. The blood volume (BV) map is calculated by scaling the post- and pre-contrast subtraction image from 0 to 1. BV is measured in one cystic mass (-6±7)% and one complex mass (17±8)% with sub-regions BV up to (32±10)% and (30±7)%. The quantification of BV provides a measurement of the distribution of micro-vessel density, reflecting the vascularity of the kidneys and masses. This technique potentially benefits surgical planning, renal mass characterization, and disease progression in patients with impaired renal function. |
| 4010 | Booth 4
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Improving Ultra-High b-value Prostate Diffusion Image Reconstruction at 3T |
| Neha Koonjoo1, Bo Zhu1,2, Danyal Bhutto1,2,3, Arnaud Guidon4, Matthew Christensen1,2, Mukesh Harisinghani1, and Matthew S Rosen1,2,5 | ||
1Department of Radiology, A.A Martinos Center for Biomedical Imaging / MGH, Charlestown, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Department of Biomedical Engineering, Boston University, Boston, MA, United States, 4GE Healthcare, Boston, MA, United States, 5Department of Physics, Harvard University, Cambridge, MA, United States |
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Ultra-high b-value Diffusion-weighted Prostate MR is gaining more attention in medical imaging, due to the non-invasiveness of imaging and to better contrast of malignant tissues as the lower diffusivity of water molecules can enable early diagnosis of cancer. The main drawback of MR at ultra-high b-value is the poor resultant SNR of the reconstructed images. We propose to improve the image quality of the prostate data acquired at b=2000 s/mm2 using a machine learning based reconstruction approach. Significant increase in signal intensities in the central gland and peripheral zone of the prostate was observed in healthy subjects. |
| 4011 | Booth 5
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Quantification of bilateral whole-organ renal metabolic rate of O2 by exploiting conservation of flow and mass principle: a preliminary study |
| Rajiv S Deshpande1,2, Michael C Langham2, and Felix W Wehrli2 | ||
1Dept. of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 2Dept. of Radiology, University of Pennsylvania, Philadelphia, PA, United States |
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Type 2 diabetes mellitus is the leading cause of chronic kidney disease. Clinical measures of kidney function often detect dysfunction after irreversible damage has occurred. This highlights an unmet need for a biomarker that can enable earlier detection of disease. Quantification of renal metabolic rate of oxygen is a promising metric because it increases by 40-65% during the early stages of diabetic kidney disease. Here, we propose a “difference method” to quantify bilateral renal metabolic rate of oxygen by imaging above and below the renal vessels and exploiting conservation of blood flow rate and mass. |
| 4012 | Booth 6
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Quantitative analysis of ultrafast DCE-MRI to distinguish benign and malignant breast lesions in a clinical setting |
| Anum S. Kazerouni1, Yun An Chen1, Callie Lind2, Inyoung Youn3, Savannah C. Partridge1, and Habib Rahbar1 | ||
1Radiology, University of Washington, Seattle, WA, United States, 2Bioengineering, University of Washington, Seattle, WA, United States, 3Radiology, Sungkyunkwan University School of Medicine, Seoul, Korea, Republic of |
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We investigate the ability of quantitative measures derived from ultrafast DCE-MRI to improve breast MRI specificity for lesion diagnosis in a clinical setting. Sixty-nine women with BI-RADS 3, 4, or 5 lesions identified on clinical breast MRI exam, with subsequent diagnostic biopsy, were retrospectively identified. Ultrafast DCE-MRI was used to calculate semi-quantitative (bolus arrival time, max slope) and quantitative (Ktrans, vp) features for each lesion visible on the ultrafast series. Malignant lesions showed significantly higher vp compared to benign lesions. Combined with qualitative assessment of visibility on ultrafast DCE-MRI (“yes”/“no”), vp showed an AUC=0.73 for lesion diagnosis. |
| 4013 | Booth 7
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Evaluation of the Combined Deep Learning Networks Using Mask R-CNN and ResNet50 Classification for Detection and Diagnosis of Breast Cancer on MRI |
| Yang Zhang1,2, Yan-Lin Liu1, Ke Nie2, Jiejie Zhou3, Zhongwei Chen3, Jeon-Hor Chen1, Meihao Wang3, 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, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China |
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We developed two deep learning methods for breast MRI evaluation, first using Mask R-CNN for detection of suspicious areas, and then using ResNet50 for estimating the malignancy probability. These two networks were combined to test its diagnostic validity in two datasets. In Dataset-1, sensitivity=96.1% and specificity=78.1%. In Dataset-2, sensitivity=81.1% and specificity= 80.6%. We further characterized all false positives (FPs), and found other than confirmed benign lesions, FPs may come from vessels and asymmetric parenchymal enhancements, which can be further eliminated by other algorithms. The results suggest the potential of combined deep learning networks as a fully-automatic breast MRI CAD. |
| 4014 | Booth 8
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Integrated DWI for Pre-treatment Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer |
| Muge Karaman1,2, Shunan Che3, Guangyu Dan1,2, Zheng Zhong1,2, Han Ouyang3, Xiaohong Joe Zhou1,2,4, and Xinming Zhao3 | ||
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, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China, 4Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States |
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Neoadjuvant chemotherapy (NAC) has been shown to improve the outcome in patients with locally advanced inoperable or operable breast cancer. An early imaging assessment of response to NAC is critical for managing breast cancer to minimize the toxic side effects of ineffective chemotherapy. In this study, we have used an integrated diffusion-weighted imaging approach for simultaneous assessment of tissue cellularity, vascularity, and heterogeneity – DISMANTLE – from a full b-value spectrum to predict breast cancer’s response to NAC. Histogram features of pre-treatment DISMANTLE parameters were evaluated for predicting tumor response to NAC in terms of pathological complete response. |
| 4015 | Booth 9
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Quantitative DCE-MRI Prediction of Breast Cancer Recurrence Following Neoadjuvant Chemotherapy |
| Rajat Thawani1, Lina Gao2, Ajay Mohinani2, Alina Tudorica2, Xin Li2, Zahi Mitri1, and Wei Huang2 | ||
1Division of Hematology and Oncology, Oregon Health and Science University, Portland, OR, United States, 2Oregon Health and Science University, Portland, OR, United States |
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Neoadjuvant chemotherapy (NAC) is considered standard of care for locally advanced breast cancer. Pre- and post-NAC MRI is routinely used to assess response. This study aims to investigate pre- and post-NAC quantitative DCE-MRI parameters, alone and in combination with clinico-pathologic variables, for prediction of breast cancer recurrence following NAC. 47 patients underwent DCE-MRI studies pre- and post-NAC. The results show that quantitative pharmacokinetic DCE-MRI parameters, whether alone or in combination with clinico-pathologic variables, outperformed tumor size measurement by conventional imaging in prediction of recurrence. Furthermore, DCE-MRI parameters provided added value in predictive performance when combined with clinico-pathologic variables. |
| 4016 | Booth 10
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A Propensity Score Matched Analysis of Quantitative Background Parenchymal Enhancement on MRI for Improved Breast Cancer Risk Stratification |
| Ran Yan1,2, Wakana Murakami1, Shabnam Mortazavi1, Tiffany Yu1, Stephanie Lee-Felker1, and Kyunghyun Sung1,3 | ||
1Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States, 2Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, 3Physics and Biology in Medicine IDP, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States |
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High background parenchymal enhancement (BPE) on breast MRI is related to increased breast cancer risk. In this study, we investigate possible differences in BPE among different breast cancer risk groups stratified based on BRCA 1/2 mutation status and lifetime risks. We use propensity score matching to adjust for potential confounders. We performed a quantitative BPE analysis on the 3D volume of the breast and fibroglandular tissue based on the enhancement maps and principal component analysis. The results showed a significant difference in BPE among different risk groups, indicating that BPE may improve breast cancer risk stratification. |
| 4017 | Booth 11
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Multi-Shot Diffusion-Weighted Imaging of the Breast in the Supine Position |
| Catherine J. Moran1, Matthew J. Middione1, Valentina Mazzoli1, Jessica McKay-Nault1, Arnaud Guidon2, Uzma Waheed1, Eric L. Rosen1, Steven P. Poplack1, Jarrett Rosenberg1, Daniel B Ennis1, Brian A. Hargreaves1, and Bruce L. Daniel1 | ||
1Radiology, Stanford University, Stanford, CA, United States, 2General Electric Healthcare, Botson, MA, United States |
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Diffusion-Weighted Imaging (DWI) in the supine position may provide a non-invasive, comfortable, and efficient MRI for breast cancer screening. The strong performance of multi-shot DWI in prone breast MRI has been established. However, supine breast MRI has increased motion, specific B0-inhomogeneity, and cardiac artifacts, all of which may affect multi-shot DWI. This work investigates supine multi-shot DWI of the breast with a flexible array coil. High image quality is achieved and the effects of number of shots and respiratory-gating are delineated. B0-inhomogeneity and ADCs in the supine position are reported including the potential effect of cardiac artifact on ADC measurement. |
| 4018 | Booth 12
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Change in T2* measurements of placenta during Braxton Hicks contractions |
| Esra Abaci Turk1,2, Jeffrey N. Stout1, Borjan Gagoski1,2, Mary Katherine Manhard3, Elfar Adalsteinsson4,5,6, Polina Golland4,7, Drucilla J. Roberts8, William H. Barth Jr9, and P. Ellen Grant1,2 | ||
1Fetal‐Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 4Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 5Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, 6Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 7Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology, Cambridge, MA, United States, 8Department of Pathology, Massachusetts General Hospital, Boston, MA, United States, 9Maternal-Fetal Medicine, Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, United States |
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Maternal-placental perfusion can be temporarily compromised by Braxton Hicks uterine contractions. The effect of Braxton Hicks contractions on placental function has not been well characterized or understood. In this study, we investigated the effect of Braxton Hicks contractions on placental T2* values across gestation together with the outcome measures. We observed positive correlation between the change in T2* during contraction, gestational age at delivery, and fetal birth weight. Additionally we observed differences in the placental T2* response in the regions closer to the maternal surface compared to regions closer to the fetal surface. |
| 4019 | Booth 13
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An Interactive App with Multi-parametric MRI - Whole Mount Histology Correlation for Enhanced Prostate MRI Training of Radiologists |
| Aritrick Chatterjee1,2, Teodora Szasz3, Milson Munakami3, Ibrahim Karademir1, Mohamed Shaif Yusufishaq1, Spencer Martens1, Christina Wheeler4, Stephen Thomas1, Gregory S Karczmar1,2, and Aytekin Oto1,2 | ||
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, 3Research Computing Center, University of Chicago, Chicago, IL, United States, 4C. Wheeler Studios, Chicago, IL, United States |
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We created an interactive application Learn Radiology with multi-parametric MRI - whole mount histology correlation for enhanced prostate MRI training of radiologists and validated whether the use of a newly created learning application can enhance prostate MRI training of radiologists using an observer study. Sensitivity (R1: 54%→64%, R2: 44%→59%, R3: 62%→72%), PPV (R1: 68%→76%, R2: 52%→79%, R3: 48%→65%) and confidence score (R1: 4.0±1.0→4.3±0.8, R2: 3.1±0.8→4.0±1.1, R3: 2.8±1.2→4.1±1.1, p<0.05) for prostate cancer diagnosis using mpMRI improved for all three radiologists along with inter-observer agreement (α 0.78→0.85) after being exposed to our developed teaching app. |
| 4020
|
Booth 14
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Whole-Abdomen Metabolic Imaging in Healthy Volunteers Using Hyperpolarized [1-13C]pyruvate MRI |
| Philip Meng-en Lee1, Hsin-Yu Chen1, Jeremy W Gordon1, Zhen J Wang1, Robert A Bok1, Kiersten Cheung1, Francesca De Las Alas1, Heather Daniel1, Peder EZ Larson1, Cornelius von Morze2, Daniel B Vigneron1, and Michael A Ohliger1 | ||
1Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Radiology, Washington University in St. Louis, St. Louis, MO, United States |
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Whole-abdomen imaging with hyperpolarized 13C is challenging due to B0 and B1 inhomogeneities, respiratory motion, and broad spatial coverage. There is also little baseline data about healthy metabolism in abdominal organs. We develop and describe a reliable imaging method to overcome these challenges, enabling metabolic imaging of the entire abdomen in a series of healthy volunteers. We establish normal values for conversion of HP [1-13C]pyruvate to lactate and alanine in key organs such as the liver, kidneys, pancreas, and spleen. Methods established here set a firm foundation for investigating a broad spectrum of metabolic and neoplastic abnormalities in the liver. |
| 4021 | Booth 15
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Assessment of SAR variability across early gestational age subjects at 3T fetal MRI |
| Esra Abaci Turk1,2, Filiz Yetisir1, Cindy Zhou1, Jeffrey N. Stout1, Judy A. Estroff3,4, Carol Barnewolt3,4, Elfar Adalsteinsson5,6,7, P. Ellen Grant1,2, and Lawrence L. Wald2,6,8 | ||
1Fetal‐Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Department of Radiology, Boston Children’s Hospital, Boston, MA, United States, 4Maternal Fetal Care Center, Boston Children’s Hospital, Boston, MA, United States, 5Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 6Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, 7Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 8Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States |
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Despite the clinical and research potential of fetal MRI, there is no consensus on MRI safety in the 1st and early 2nd trimesters. Prior simulation studies at early gestational ages (GA) used only a single or unrealistic pregnant body models. To address this gap, we built 2 realistic uterine models for the early 2nd trimester and placed them into 3 existing pregnant body models at a later GA to investigate differences in RF exposure. Lower pSAR10g in both the fetus and amniotic fluid was observed in the early 2nd trimester models compared to later GA models. |
| 4183 | Booth 1
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Liver DWI using deep learning constrained compressed sensing: A primary study compared to conventional DWI and compressed sensing-based DWI |
| Ting Duan1, Zhen Zhang2, Hanyu Jiang2, Yidi Chen2, Xiaoyong Zhang3, and Bin Song2 | ||
1Radiology, West China Hospital, Sichuan University, Chengdu, China, 2West China Hospital, Sichuan University, Chengdu, China, 3Clinical Science, Philips Healthcare, Chengdu, China, Chengdu, China |
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Compressed sensing AI-based DWI substantially reduced noise artifacts and improved the signal-to-noise ratio and lesion contrast-to-noise ratio compared with conventional DWI and Compressed sensing based DWI, without any penalty for scan parameters. This technique may prove of value in better diagnostic liver imaging. |
| 4184 | Booth 2
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Motion-resolved and Free-breathing Liver MRF |
| Cao Peng1, Zuojun Wang1, Chenyang Liu2, Tian Li2, Edward S. Hui3, and Jing Cai2 | ||
11. Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, Hong Kong, 23. Department of Health Technology & Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong, 3The Hong Kong Polytechnic University, Kowloon, Hong Kong |
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We developed a motion-resolved and free-breathing liver magnetic resonance fingerprinting (MRF) protocol. The deformation maps were obtained from the first singular image of MRF data. The reconstruction method enforced the consistency of the MRF data with the deformation maps by adding the deformation maps to the encoding matrix. MRF was tested on four healthy volunteers. We demonstrated a motion-resolved MRF with a nominal frame rate of 2.5 Hz for free-breathing liver imaging. |
| 4185 | Booth 3
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Dual-domain self-supervised network for removing motion artifact related to Gadoxetic acid-enhanced MRI |
| Qingjia Bao1, Feng Pan2, Chongxin Bai3, Kewen Liu3, Zhao Li1, Peng Sun4, Jiazheng Wang4, Linkun Zhong5, Aodong Xiao6, Lian Yang2, and Chaoyang Liu1 | ||
1State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Phys, Wuhan, China, 2Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 3Wuhan University of Technology School of Information Engineering, Wuhan, China, 4Philips Healthcare, Beijing, China, 5Wuhan University of Arts and Science, Wuhan, China, 6Henan University of Science and Technology, Luoyang, China |
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We proposed a dual-domain self-supervised motion artifacts disentanglement network (DSMAD-Net) for the liver's gadoxetic acid-enhanced arterial phase images. The motion correction is converted to the image-to-image translation problem by assuming that motion-free images and motion-corrupted images belong to different domains. Specifically, image-to-image translation within the same domain is designed to constrain auto-encoders to learn the feature representation by utilizing the input images as supervision information. Moreover, the cross-domain translation explores the cycle consistency in the absence of paired motion-free and motion-corrupted images. Experimental results demonstrate that our method remarkably removes artifacts in the gadoxetic acid-enhanced arterial phase images. |
| 4186 | Booth 4
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Dynamic MRI Reconstruction of the Whole Liver with High Acceleration using Low Rank Tensor and Weighted Group Sparsity |
| Bei Liu1, Huajun She1, Yufei Zhang1, Zekang Ding1, Zhijun Wang1, and Yiping P. Du1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China |
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We propose an algorithm for dMRI reconstruction from highly under-sampled k-space data acquired during free breathing. Stack-of-star GRE radial sequence with self-navigator is used to acquire the data. We explore spatial and temporal redundancy for the reconstruction by using weighted group sparsity, weighted sparsity, and low-rank tensor. Additionally, a tensor total variation is used to ensure spatial and temporal smoothness. By applying a weighting function to the sparsity and group sparsity, the subtle structural sparsity features in the sparse domain can be better utilized. The proposed algorithm has the potential to be used in clinical applications such as MR-guided surgery. |
| 4187 | Booth 5
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Automatic segmentation and reconstruction of liver vascular structure on MRI with a deep learning model |
| Mengsi Li1, Yanjie Hong2, Zhixuan Yu2, Dandan Zheng2, and Jin Wang1 | ||
1Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China, 2Shukun (Beijing) Technology Co., Ltd, Beijing, China |
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The accurate segmentation of liver vascular structure is one of the key components of automated radiological diagnosis. Unfortunately, accurate vessel segmentation in clinical practice usually relies on the manual delineation by radiologists on each slice, which is extremely tedious and time-consuming. We developed and evaluated a new liver vessel segmentation and reconstruction workflow, which consist of a 3D Res-Net, a 2D Dense-Net and a 3D U-net model, allows for automated extraction of the portal vein, hepatic vein and inferior vena cava on 3D contrast enhanced portal venous phase MR images. |
| 4188
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Booth 6
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In silico liver resection to estimate global and regional hepatobiliary function |
| Christian Simonsson1,2,3, Wolf Claus Bartholomä2,3, Anna Lindhoff Larsson4, Markus Karlsson2, Bengt Norén2, Gunnar Cedersund1,3, Per Sandström4, Nils Dahlström2,3, and Peter Lundberg2,3 | ||
1Department of Medical Engineering, Linköping University, Linköping, Sweden, 2Departments of Radiation Physics, Radiology, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden, 3Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden, 4Department of Surgery, Department of biomedical and clinical sciences, Linköping University, Linköping, Sweden |
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In some cases, treatment of severe liver diseases requires resective surgery. This brings serious complications if the remnant tissue fails to match the requirement of liver function. Therefore, a pre-operative risk assessment is vital. However, usually the assessment only investigates global liver function. For a more precise assessment, we investigate the possibility of using DCE-MRI in combination with pharmacokinetic modeling to quantify both global- and regional liver function. Also, we show a novel eight-compartment hepatic model, capable of performing an in-silico resection. This framework might in the future be used as a tool for a more precise pre-operative assessment. |
| 4189 | Booth 7
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Assessment of fibrotic liver regeneration with IVIM imaging: an experimental study in a rat model |
| Shuangshuang Xie1, Caixin Qiu1, Yajie Sun1, Jinxia Zhu2, Robert Grimm3, and Wen Shen1 | ||
1Tianjin First Central Hospital, Tianjin, China, 2MR Collaboration, Siemens Healthcare Ltd., Beijing, China, 3MR Application development, Siemens Healthcare GmbH, Erlangen, Germany |
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This study investigated the feasibility of IVIM to evaluate fibrotic liver regeneration and function recovery after partial hepatectomy in a rat model. In fibrotic rats, significant increase in D values and decrease in D* and PF values followed with recovery to pre-PH levels were shown. PF values correlated well with Ki-67 indices, D* and PF values correlated well with ALT, AST, and TBil values. IVIM may be an noninvasive and promising approach to monitor liver regeneration and functional recovery after PH. |
| 4190 | Booth 8
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Comparison and Optimization b-Values combination of liver Diffusion-Weight Imaging in hepatic stiffness discrimination |
| Jie Yuan1, Wenli Tan1, Songhua Zhan1, Zhigang Gong1, and Yongming Dai2 | ||
1Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China, 2United Imaging Healthcare, Shanghai, China |
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DWI can indirectly reflect the changes of tissue microstructure by detecting the direction and extent of water molecule diffusion. In liver fibrosis, collagen fibers and cell membranes may block the diffusion of water molecules, resulting in changes in the diffusion signal. B-value selection is closely related to the image quality of DWI. Previous studies have found the correlation between tissue water diffusivity and tissue elasticity in the liver. However, there are no widely accepted ADC values on the b-value combination for the stiffness of liver fibrosis. Therefore, the study of b-value combination optimization is of important clinical interest. |
| 4191 | Booth 9
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NAFLD and Hepatic Inflammation: Multi-modal MR-Investigations of Disease Progression |
| Christian Simonsson1,2,3, Markus Karlsson2,3, Patrik Nasr3,4, Ralph Sinkus 5,6, Simone Ignatova7, Nils Dahlström2,3, Mattias Ekstedt3,4, Stergios Kechagias3,4, and Peter Lundberg2,3 | ||
1Department of Biomedical Engineering (IMT), Linköping University, Linköping, Sweden, 2Department of Radiation Physics, Radiology, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden, 3Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden, 4Department of Gastroenterology and Hepatology, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden, 5Imaging Sciences & Biomedical Engineering, Kings College, London, United Kingdom, 6LVTS, INSERM U1148, Paris, France, 7Department of Clinical Pathology and Clinical Genetics, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden |
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Several MR-biomarkers characterizing different aspects of NAFLD progression, especially for the early onset, and late stages, are available. However, there is a need to combine and characterize, not only the endpoints but also the intermediate stages of the disease, in particular the early stages of hepatic inflammation. Using an extensive multi-modal MRI protocol, we have investigated correlations between different MR-biomarkers with histopathology measurements of hepatic inflammation, fat accumulation and fibrosis. The long-term aim of this research is to characterize each patient in the early to intermediate stages of disease progression, with a higher degree of precision. |
| 4192 | Booth 10
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A comparative study of multi-parameters from Gd-EOB-DTPA-enhanced MRI in the assessment of liver function in patients with cirrhosis. |
| Yexin He1, Jia Shao1, Jinxia Guo2, Qiang Gao1, and Cheng Xu1 | ||
1SHANXI PROVINCIAL PEOPLE'S HOSPITAL, Taiyuan, China, 2GE Healthcare, Beijing, China |
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Gd-EOB-DTPA-enhanced MRI was used to quantitatively assess liver function benefiting the follow-up of patients with chronic liver disease and the appropriate plan for liver cancer treatment. A systematic multi-parametric analysis with non-enhanced and Gd-EOB-DTPA-enhanced T1 weighted and T1 mapping MRI were conducted to assess the liver function in patients with cirrhosis. Independent factor for differentiation of A+N(normal and Child-Pugh A) and B+C (Child-Pugh B and C) were found to be RE_Liver, T1_Native, T1_Post and ΔT1_Liver, while for differentiation of Child-Pugh B and C were found to be ΔT1_Liver and SIR_Bdult/Muscle. Both combined model with these factors obtained better diagnostic performance. |
| 4193
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Booth 11
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Noninvasive Diagnosis of Portal Hypertension and Detecting High Risk Gastroesophageal Varices in Chronic Liver Disease Patients with 4D Flow MRI |
| Jiachen Ji1, Hanyu Wei1, Yunduo Li1, Mengmeng Zhang2, Changchun Liu2, Bo Jin3, Xiaolong Qi4, Wen Shen5, Jianming Cai2, and Rui Li1 | ||
1Biomedical Engineering, Center for Biomedical Imaging Research, Tsinghua Univ., Beijing, China, 2Radiology, Department of Radiology, The Fifth Medical Centre of Chinese PLA General Hospital, Beijing, China, 3First Liver Cirrhosis Diagnosis and Treatment Center, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China, 4CHESS Center, Institute of Portal Hypertension, The First Hospital of Lanzhou University, Lanzhou, China, 5Department of Radiology, First Center Hospital of Tianjin, Tianjin, China |
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Chronic liver disease patients commonly suffer from portal hypertension (PH), which could lead to gastroesophageal varices. Noninvasive methods to diagnose PH and to detect high risk varices are urgently needed. 4D Flow MRI is an advanced technique which could provide visualization and quantification of blood flow. In the study, we observed significant hemodynamic differences in portal vein between PH patients and controls. Similar differences were observed between patients with high risk and low risk varices. The performance of diagnosing PH/detecting high risk varices using the single hemodynamic parameter and the logistic regression model was acknowledged by the ROCs. |
| 4194 | Booth 12
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Longitudinal evolution of liver imaging reporting and Data system Version 2018 category 2, 3, and 4 observations in cirrhosis on MRI |
| Fei Xing1 and Xiance Zhao2 | ||
1the Third People’s Hospital of Nantong, Nantong, China, 2Philips Healthcare, Shanghai, China |
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The purpose of this study was to evaluate the category modifications and prognosis of LI-RADS 2,2 and 4 observations in cirrhosis on MRI. We retrospectively analyzed 105 LR-2 , 97 LR-3, and 43 LR-4 observations following-up datas. Follow-up duration and category modifications that progressed, remained stable, or decreased were recorded for each observation. Our study showed that LR-2, LR-3 and LR-4 lesions in liver cirrhosis patients present with different natural disease courses and outcomes, the lesions with a higher LI-RADS category have a higher cumulative incidence of progression to LR-5/-TIV lesion, thus demonstrating an increasing risk of developing HCC. |
| 4195 | Booth 13
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Jointly grading and microvascular invasion predicting of hepatocellular carcinoma based on multi-task deep learning |
| Yanyan Xie1, Lijuan Zhang2, Guangyi Wang3, and Wu Zhou1 | ||
1School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, China, 2Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 3Department of Radiology, Guangdong General Hospital, Guangzhou, China |
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The pathological grade and microvascular invasion (MVI) of hepatocellular carcinoma (HCC) are two key factors related to the patient's prognosis. Previous studies usually predict these two factors separately based on medical images. In this study, we propose an end-to-end multi-task deep learning network to simultaneously predict the MVI and grading information. Specifically, we are the first to demonstrate that these two tasks are related and can promote each other in the framework of multi-task deep learning. Experimental results of HCC in Contrast-enhanced MR demonstrate the effectiveness of the proposed method, outperforming the single task learning. |
| 4196 | Booth 14
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Image Quality of Deep-Learning Reconstructed Near-isotropic (3D) Enhanced MR enterography with LAVA HyperSense in Crohn disease patients |
| Jung Hee Son1, Yedaun Lee1, Ho-Joon Lee1, Jisook Yi1, Joonsung Lee2, and Ersin Bayram3 | ||
1Radiology, Heaundae Paik Hospital, Busan, Korea, Republic of, 2GE Healthcare, Seoul, Korea, Republic of, 3GE Healthcare, Houston, TX, United States |
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In this study, we evaluate image quality of high resolution contrast-enhanced T1-weighted MR enterography with deep learning reconstruction. Use of DLRecon for near-isotropic CE-T1WI MRE provides improved image quality, and increased SNR. |
| 4197 | Booth 15
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Differentiation between rectal mucinous and common adenocarcinoma by amide proton transfer weighted and intravoxel incoherent motion imaging |
| Juan Li1, cheng jingliang1, and Lin Liangjie 2 | ||
1Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Philips Healthcare, Beijing, China |
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Rectal mucinous adenocarcinoma (MC) is a typical subtype of rectal adenocarcinomas, which has a poor prognosis and it is not sensitive to neoadjuvant chemoradiotherapy thus associated with significantly different individualized treatments as those for rectal common adenocarcinoma (AC). The amide proton transfer (APT) weighted and intravoxel incoherent motion (IVIM) imaging were investigated in this study for differential diagnosis between MC and AC. Results indicated that APT signal intensity and the D value by IVIM can be used in discriminating between MC and AC, slightly inferior to the performance of apparent diffusion coefficient by conventional diffusion weighted imaging. |
| 4198
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Booth 16
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MR fingerprinting for liver tissue characterization in a single breath-hold scan: A histopathological correlation study |
| Shohei Fujita1,2, Katsuhiro Sano1, Gastao Cruz3, Yuki Fukumura4, Hideo Kawasaki1, Issei Fukunaga1, Masami Yoneyama5, Koji Kamagata1, Osamu Abe2, Kenichi Ikejima6, Rene Botnar3, Claudia Prieto3, and Shigeki Aoki1 | ||
1Department of Radiology, Juntendo University, Tokyo, Japan, 2Department of Radiology, The University of Tokyo, Tokyo, Japan, 3Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom, 4Department of Human Pathology, Juntendo University, Tokyo, Japan, 5MR Clinical Science, Philips Japan, Tokyo, Japan, 6Department of Gastroenterology, Juntendo University, Tokyo, Japan |
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Magnetic resonance fingerprinting (MRF) has been proposed for simultaneous T1, T2, T2*, and fat-fraction mapping of the liver, which is suitable for the diagnosis and monitoring of liver diseases. We evaluated the repeatability of liver MRF measurements and correlated it with reference standard imaging in patients with diffuse liver disease. Furthermore, we validated MRF-derived measurements against histological grading of liver biopsies. Liver MRF provided repeatable multi-parametric maps with high agreement with measurements of separate conventional quantitative mapping as well as histological grading of liver biopsies. This approach may enable objective and non-invasive hepatic tissue characterization in a single breath-hold scan. |
| 4199 | Booth 1
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The Diagnostic Value of Extracellular Volume Fraction in Different Pathological Types of Lung Cancer – a preliminary study |
| Peng Zhao1, Yongqing Yang2, Yu Wang2, Wenjing Ma1, Xiangtao Lin2, Liu Mengxiao3, Lu Zu2, Tao Yang2, Letian Yuan1, Yani Cheng2, Shanshan Sun1, Shuo Cai1, and Wei Zhang2,4 | ||
1Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 2Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China, 3MR Scientific Marketing,Diagnostic Imaging, Siemens Healthineers Ltd., Shanghai, China, 4The People's Hospital of LaoLing, LaoLing, China |
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Chest scans were performed on 42 lung cancer patients using MRI and CT scanners to calculate ECV. Using one-way analysis of variance, the ECV calculated based on CT is statistically different between SCLC and NSCLC, there is no statistical difference between squamous cell carcinoma and adenocarcinoma, and the ECV calculated based on MRI is statistically different among the three.It can be seen that ECV can be accurate and non-invasive assessment of the pathological type of lung cancer, and MRI-ECV has a higher diagnostic efficiency than CT-ECV, can provide some help for the choice of clinical treatment options. |
| 4200 | Booth 2
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Evaluation of interstitial lung diseases using free-breathing 3D isotropic ZTE-MRI in comparison with High-resolution computed tomography |
| Qiuxi Lin1, Yu Deng1, Xinchun Li1, Weiyin Vivian Liu2, Lei Zhang2, Ziyi Zhang3, Qun Luo3, Qi Wan1, and Chongpeng Sun1 | ||
1Department of Radiology, The first affiliated hospital of Guangzhou Medical University, Guangzhou, China, 2GE Healthcare, Beijing, China, 3Department of Respiratory and Critical Care Medicine, The first affiliated hospital of Guangzhou Medical University, Guangzhou, China |
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Pulmonary MRI provides qualitative structural and quantitative functional images of the lungs without ionizing radiation. In this study, free-breathing 3D isotropic high-resolution pulmonary zero echo time (ZTE) imaging was applied to detect pulmonary abnormalities and make diagnosis of interstitial lung diseases (ILDs). The pulmonary interstitial abnormalities including ground-glass opacity, reticular opacity, honeycombing, traction bronchiectasis and consolidation can be well depicted. The diagnosis performance of ZTE in ILDs is comparable with HRCT. ZTE might assist long-term follow-ups in ILDs evaluation without radiation exposure. |
| 4201 | Booth 3
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Feasibility of an abdominal thin-slice breath-hold single-shot FSE sequence processed using a deep learning-based noise-reduction approach |
| Taku Tajima1,2, Hiroyuki Akai3, Koichiro Yasaka4, Akira Kunimatsu1, Masaaki Akahane2, Naoki Yoshioka2, Osamu Abe4, Kuni Ohtomo5, and Shigeru Kiryu2 | ||
1Department of Radiology, International University of Health and Welfare Mita Hospital, Tokyo, Japan, 2Department of Radiology, International University of Health and Welfare Narita Hospital, Chiba, Japan, 3Department of Radiology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan, 4Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan, 5International University of Health and Welfare, Tochigi, Japan |
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Single-shot fast spin echo (single-shot FSE) sequence is an accelerated T2-weighted imaging (T2WI) in pancreatic MRI. Fast advanced spin echo (FASE) is one of similar modalities. However, single-shot FSE suffers from image blurring and relatively low tissue contrast. We hypothesized that denoising approach with deep learning-based reconstruction (dDLR) would facilitate accelerated breath-hold thin-slice single-shot FSE MRI. We assessed the image quality of respiratory-triggered FSE T2WI (Resp-FSE) and breath-hold FASE with and without dDLR (BH-dDLR-FASE and BH-FASE, respectively) at 1.5 T. The image quality of BH-dDLR-FASE was superior to BH-FASE and Resp-FSE, and BH-dDLR-FASE had a shorter acquisition time than Resp-FSE. |
| 4202 | Booth 4
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Amide proton transfer weighted and intravoxel incoherent motion imaging in evaluation of prognostic factors for rectal adenocarcinoma |
| Juan Li1, cheng jingliang1, and Lin Liangjie2 | ||
1Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Philips Healthcare, Beijing, China |
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This study explored the application of APT and IVIM in evaluation of prognostic factors for rectal adenocarcinoma. Parameters of APT signal intensity (APT SI), pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), perfusion fraction (f), and apparent diffusion coefficient (ADC) were measured. The results showed that APT SI was significantly lower in low- than high-grade adenocarcinoma. The D value was significantly higher in low- than high-grade adenocarcinoma. The D value was significant lower in positive than in negative extramural vascular invasion (EMVI). This suggests that APT and IVIM were helpful to assess rectal adenocarcinoma, including histopathological grade and the EMVI status. |
| 4203 | Booth 5
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DKI and IVIM for Assessment of Rectal Cancer: Correlations between Imaging Parameters and Tumor Tissue Composition |
| Jie Yuan1, Mengxiao Liu2, Songhua Zhan1, Zhigang Gong1, and Qiang Shen1 | ||
1Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China, 2MR scientific Marketing, Diagnostic Imaging, Siemens Healthineers Ltd, Shanghai, China |
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It is important to combine histopathological and non-invasive imaging measurements to assess tumor components and predict tumor invasiveness to define disease treatment and prognostic assessment. In this study, we assessed the relationships between DKI and IVIM parameter measurements and the corresponding tumor tissue composition, regardless of the status of the malignant tumor. To this end, we selected a range of tissue parameters informative for important biological properties of the tumor, such as Ki-67, the tumor: stroma ratio, CD34 etc. |
| 4204 | Booth 6
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Application of native T1 mapping for distinguishing histopathologic subtypes, grades, and stages of rectal adenocarcinoma |
| Juan Li1, Marcel Dominik Nickel2, cheng jingliang1, and Zhu Jinxia 3 | ||
1Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 3MR collaboration, Siemens Healthcare Ltd., Beijing, China |
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This study evaluated the clinical significance of using native T1 mapping for distinguishing histopathologic subtypes, grades, and stage of rectal adenocarcinoma by measuring parameters such as T1 relaxation time and apparent diffusion coefficient (ADC). The results showed that T1 and ADC values were significantly higher in rectal mucinous adenocarcinoma (MC) compared to non-mucinous rectal adenocarcinoma (AC). In the AC group, T1 values were significantly lower in the low-grade AC than in the high-grade AC. Our findings suggest that native T1 mapping can distinguish histopathologic subtypes of renal adenocarcinoma. Moreover, T1 values distinguish different grades of AC more accurately than ADC values. |
| 4205
|
Booth 7
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T2-weighted dynamic approach for rectal MR imaging |
| Jing Cheng1, Jiansen Li2, Jun Yang2, Huimao Zhang3, Guobin Li2, Xin Liu1, and Dong Liang1 | ||
1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2United Imaging Healthcare, Shanghai, China, 3Department of Radiology, the First Hospital of Jilin University, Changchun, China |
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T2-weighted MR imaging is the standardized protocol in clinical evaluation of rectal cancer and anatomic structures. Usually, spasmolytic agent injection is required before the examination to reduce the imaging artifacts caused by the rectum peristalsis. In this work, we propose a novel dynamic imaging approach that with a complementary k-space sampling strategy and deep learning-based image reconstruction method to illustrate the anatomical structures of the rectum without any agent injection. Experimental results demonstrate the superior performance of the proposed approach. |
| 4206 | Booth 8
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Comparative Study of histogram analysis of Intravoxel Incoherent Motion and Diffusion Kurtosis Imaging for the staging of liver fibrosis |
| Fengxian Fan1, Yanli Jiang1, Jing Zhang1, Jie Zou1, and Jialiang Ren2 | ||
1Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China, 2GE Healthcare, Shanghai, China |
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The purpose of this study is to compare the diagnostic accuracy of histogram analysis–derived parameters from intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI) for staging of liver fibrosis (LF). The correlations between different histopathologic stages and histogram parameters were determined. The results showed that the histogram metrics of DKI maps demonstrate significant correlation with fibrosis stage, while there was no correlation between histogram metrics of IVIM and fibrosis stage. In conclusion, histogram analysis of DKI may serve as a valuable and robust tool for the staging of LF. |
| 4207 | Booth 9
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Gadoxetic Acid–enhanced MRI for Predicting Postsurgical Recurrence in Hepatocellular Carcinoma：Compared with Four Clinical Staging Systems |
| Hong Wei1, Hanyu Jiang1, and Bin Song1 | ||
1Radiology, West China Hospital, Sichuan University, Chengdu, China |
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A total of 214 patients with pathologically confirmed Hepatocellular carcinoma (HCC) who underwent gadoxetic acid-enhanced magnetic resonance imaging (EOB-MRI) before curative resection between July 2015 and November 2020 were retrospectively included in this study. The preoperative model integrating EOB-MRI findings and serum AFP and AST levels achieved accurate recurrence prediction in HCC, with similar performance to that of the postoperative clinical-radiologic-pathologic model. Moreover, the preoperative model yielded superior predictive performance to four widely used clinical staging systems for HCC recurrence prediction. This model offered a potential noninvasive and reliable approach for individualized recurrence risk estimation before hepatectomy. |
| 4208 | Booth 10
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Deep Learning Method Based Automatic Subtraction of Liver DCE-MR Images |
| Zhijun Geng1,2, Botong Wu3,4, Tiantian Liu3, Niange Yu3, Dandan Zheng3, Hua Guo4, and Chuanmiao Xie1,2 | ||
1The department of medical imaging, Sun Yat-sen University,Cancer Center, Guangzhou, China, 2States key laboratory in South China, Guangzhou, China, 3Shukun (Beijing) Technology Co., Ltd, Beijing, China, 4Center for Biomedical Imaging Research, Department of Biomedical Engineering,School of Medicine, Tsinghua University, Beijing, China |
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Subtraction images are an important part of routine multi-phase contrast-enhanced MRI for characterizing enhancement of lesions which are intrinsically hyperintense on T1-weighted imaging. Successful subtraction MRI is dependent on precise 3D co-registration of the pre- and contrast-enhanced source data. However, there still lack a robust, convenient, time efficient and labor free method for automatically image subtraction. This study developed a deep learning based nonrigid registration algorithm, measure the improvement in displacement after registration using anatomic landmarks and automatically generate the subtraction liver images. |
| 4209 | Booth 11
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Evaluation of hepatic microenvironment in cirrhotic patients with collateral circulation by multiparametric MRI |
| Wang Nan1, Jiazheng Wang2, Peng Sun2, Lihua Chen1, Qingwei Song1, and Ailian Liu1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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Cirrhosis of the liver not only increases the risk of liver cancer but also causes portal hypertension, leading to gastrointestinal bleeding, hepatic encephalopathy, ascites, and other complications. The opening of collateral circulation caused by portal hypertension plays an important role in the occurrence and progress of diseases. Therefore, precise diagnosis of collateral circulation (CC) in cirrhotic patients is important for clinical practice. Hereby, we compared quantitative parameters from multiparametric MRI (4D flow, APT, IVIM, T1/T2 mapping) between the CC and non-CC groups in cirrhotic patients, which showed significant differences. |
| 4210 | Booth 12
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Diagnostic Performance of Gd-EOB-DTPA for Hepatocellular Carcinoma Based on LI-RADS v2018, Compared With v2017 |
| Fei Xing1 and Xiance Zhao2 | ||
1the Third People’s Hospital of Nantong, Nantong, China, 2Philips Healthcare, Shanghai, China |
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The purpose of this study was to compare the diagnostic performance of the LI-RADS v2017 and v2018 for HCC in patients with cirrhosis using Gd-EOB-DTPA. We retrospectively analyzed Clinical data of 213 patients（246 observations）with cirrhosis who underwent Gd-EOB-DTPA from October 2015 to July 2020 were retrospectively collected. MRI major features were reviewed by two radiologists. The LI-RADS categories were assigned according to v2017 and v2018. Our study showed that Updated LR-5 criteria on Gd-EOB-DTPA, the diagnostic performance of LI-RADS v2018 for diagnosing HCC is superior to v2017, particularly in small HCC (10–19 mm), with a greater sensitivity and similar specificity. |
| 4211 | Booth 13
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Quantification of multi-organ iron overload using R2* mapping in patients with transfusion-dependent diseases |
| Xiaonan Wang1, Tongtong Sun1, Jinxia Zhu2, Stephan Kannengiesser3, and Hongyan Ni4 | ||
1Tianjin Medical University, Tianjin, China, 2Siemens Healthineers Ltd., Beijing, China, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Tianjin First Central Hospital, Tianjin, China |
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We used R2* mapping to assess iron overload in multiple organs of patients with transfusion-dependent diseases and related the R2* values to transfusion volumes and serum ferritin (SF) levels. The organs assessed included the liver, spleen, pancreas, vertebral bone marrow, and myocardium. The results showed a correlation between the R2* values of multiple organs and between the R2* values of some organs and transfusion volumes. This study revealed differences in the distribution of iron overload in various organs and suggested that transfusion volumes could be used to predict the degree of liver iron overload in patients with transfusion-dependent diseases. |
| 4212 | Booth 14
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3D-isotropic T1WI in liver MRI with compressed sensing and artificial intelligence reconstruction |
| Shuang Zheng1, Lei Zhang1, Huimao Zhang1, Zhuo Wang1, Yuejiao Sun1, Yi Zhu2, and Ke Jiang2 | ||
1The First Hospital of Jilin University, Changchun, China, 2Philips Healthcare, Beijing, China |
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3D-isotropic volumetric data acquisition provides higher spatial resolution and signal-to-noise ratios, and facilitates multi-planar reformations. But the application was limited due to long scan time. Recently, compressed sensing (CS) has been proposed as a new method for reducing the number of k-space samples. However, one of the drawbacks of CS is a relatively lower SNR than for PI (parallel imaging). Artificial intelligence reconstruction has been introduced for improving imaging quality. The aim of this study is to investigate the feasibility of 3D-isotropic T1 weighted imaging (T1WI) with compressed sense AI reconstruction in the liver magnetic resonance imaging. |
| 4213 | Booth 15
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Feasibility of Using Multi-frequency MR Elastography for the Assessment of Pancreatic Stiffness and Fluidity in Healthy Volunteers |
| Siya Shi1, Yanji Luo1, and Liqin Wang1 | ||
1The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China |
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Tomoelastography, a newly emerging imaging modality, is a multi-frequency magnetic resonance elastography technique using noise-robust data post-processing. The aim of our study was to investigate the assessment of stiffness and fluidity of pancreas in healthy volunteers with tomoelastography. Tomoelastography derived pancreatic stiffness and fluidity were near-perfect reproducible in healthy volunteers. There was no stiff or fluidic difference among different groups of sex, age, BMI or pancreatic anatomical region. Tomoelastography can provide stable and promising stiffness and fluidity measurements throughout the pancreas. Our results provide data that will enable pancreatic studies of tomoelastography as a potential clinical tool in future. |
| 4214 | Booth 16
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Evaluation of amide proton transfer-weighted imaging and stretch index diffusion imaging for lung cancer staging and its correlation with Ki67 |
| Pengyang Feng1, Nan Meng2, Zhun Huang1, Ting Fang2, Ziqiang Li3, Fangfang Fu4, Wei Wei4, Yan Bai4, Yang Yang5, Jianmin Yuan6, and Meiyun Wang*1 | ||
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, 3Xinxiang Medical University & Henan Provincial People's Hospital, Xinxiang, China, 4Department of Radiology, Henan Provincial People’s Hospital, Zhengzhou, China, 5UIH Group, Central Research Institute, Beijing, China, 6UIH Group, Central Research Institute, Shanghai, China |
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Amide proton transfer-weighted imaging (APTWI) primarily reflects the protein content and acidity information of tissue structures. Stretch index diffusion imaging includes α, DDC values, these parameters reflect the heterogeneous characteristics of tumors. Ki67 is a good indicator to evaluate the proliferative activity of tumor cells. The results showed that APTWI and stretch index diffusion imaging had similar diagnostic performance in the diagnosis of lung cancer staging，and there was a certain correlation between the parameters and Ki67. |
| 4215 | Booth 1
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Can Gd-EOB-DTPA enhanced MRI effectively in differentiate benign biliary obstruction from malignant obstruction? |
| Jinghui Hu1, Xiaoxiao Wang1, Weiqiang Dou2, Jing Ye1, and Xianfu Luo1 | ||
1Clinical Medical School of Yangzhou University, Northern Jiangsu People’s Hospital, Yangzhou, China, Yangzhou City, China, 2GE Healthcare, MR Research China, Beijing, P.R. China, Yangzhou City, China |
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This study aimed to investigate the feasibility of Gd-EOB-DTPA enhanced MRI in differentiating benign from malignant biliary obstruction at hepatobiliary phase (HBP) images. The liver enhancement ratio (LER) and the functional liver imaging (FLIS) score of benign and malignant biliary obstruction were significantly different. With these findings, Gd-EOB-DTPA enhanced MRI at HBP may be considered with an added clinical value in differentiating benign from malignant biliary obstruction. |
| 4216 | Booth 2
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Preoperative prediction of microvascular invasion in hepatocellular cancer using computation modeling of interstitial fluid pressure |
| Liyun Zheng1,2, Lifang Wu3, Chun Yang3, Ruofan Sheng3, Yongming Dai2, and Mengsu Zeng1,3 | ||
1Shanghai Institute of Medical Imaging, Shanghai, China, 2United Imaging Healthcare, Shanghai, China, 3Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China |
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Microvascular invasion (MVI) is a well-known major prognostic factor of hepatocellular carcinoma (HCC). Unlike macrovascular invasion, which can be easily identified via imaging before treatment, microvascular invasion (MVI) is visible only at microscopy. This study developed a new method for the noninvasive interstitial fluid pressure (IFP) measurement in HCC patients. Our results revealed that MVI status can be predicted by this IFP model preoperatively, |
| 4217 | Booth 3
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Assessment of susceptibility-weighted Imaging in the staging of liver fibrosis |
| Xuan Jin1, Xinming Li1, Qiying Ke1, Tianyuan Zhang1, Jing Li1, Bingbing Bai1, Xianyue Quan1, and Chen Zhao2 | ||
1Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China, Guangzhou, China, 2Philips Healthcare, Guangzhou, China, Guangzhou, China |
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Diagnosing and staging liver fibrosis arouse worldwide concern, and the value of susceptibility-weighted Imaging (SWI) score combined with serum indexes in staging liver fibrosis is controversial. The objective of this study was to assess if SWI score combined with serum indexes could increase the accuracy of staging liver fibrosis. With the help of multivariate ordered logistic regression model, SWI score and serum indexes showed significant correlations with stages of liver fibrosis. |
| 4218 | Booth 4
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Evaluation of the advantage of free-breathing liver DCE-MRI with golden-angle radial sparse parallel using different contrast agents |
| Lingjie Yang1, Xiaohui Duan1, Mengzhu Wang2, Wei Jiang1, Yu Wang1, Huijun Hu1, Weike Zeng1, and Jun Shen1 | ||
1Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China, 2MR Scientific Marketing, Siemens Healthineers, Guangzhou, China |
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To evaluate the image quality between two sequences (GRASP vs. CDT-VIBE), as well as two kinds of contrast agents (Gd-EOB-DTPA vs. gadobutrol) in liver DCE-MRI. The qualitative and quantitative evaluations regarding of the image quality, and the detection rates of lesions among four groups were analyzed and compared. The results showed that MR images with GRASP sequence had significantly better image quality and less artifacts than that with CDT-VIBE sequence especially in arterial phase, and MR images with injection of gadobutrol could improve the hepatic vessel clarity and reduce motion artifacts compared with that of Gd-EOB-DTPA in CDT-VIBE sequence. |
| 4219 | Booth 5
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Bile flow dynamics in patients with cholelithiasis: Evaluation with cine-dynamic MRCP using spatially selective inversion-recovery pulse |
| Mayumi Higashi1, Masahiro Tanabe1, and Katsuyoshi Ito1 | ||
1Radiology, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan |
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We evaluated the changes in the bile flow dynamics in patients with cholelithiasis using cine-dynamic MRCP with a spatially selective IR pulse. The frequency and mean secretion grade of the antegrade bile flow were significantly increased in the gallstone group than in the non-gallstone group, while no significant differences in the frequency and mean secretion grade of the reverse bile flow were found between the two groups. Cine-dynamic MRCP with a spatially selective IR pulse can visualize the changes in the bile flow dynamics in patients with gallstones noninvasively. |
| 4220 | Booth 6
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An Automatic Abdomen MR-Quantification based on a Simultaneous Multi-Parameter Mapping within 3 Breath-holds and deep-learning Segmentation |
| Min-xiong Zhou1, Zheng Qu2, Yun Liu3, Haodong Zhong3, Yang Song4, Guang Yang3, Jianqi Li3, and Xu Yan4 | ||
1Shanghai University of Medicine & Health Sciences, Shanghai, China, 2West China School of Medicine/West China Hospital, Sichuan University, Chengdu, China, 3Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 4MR Scientific Marketing, Siemens Healthineers, Shanghai, China |
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For automatic abdomen quantification, a rapid and simultaneous multi-parameter mapping method was evaluated, which could acquire quantitative R1, R2* and PDFF indices within 3-4 breath-holds. By adopting automatic organ segmentation, it could directly generate MR quantitative information for liver, kidney and spleen, which could be potentially used for liver pathology evaluation. The result showed that the multi-parameter sequence could generate high-quality R1, R2* and PDFF maps, with well B1 field correction and fat signal separation. |
| 4221 | Booth 7
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Feasibility and Reproducibility of Multi-frequency MR elastography in healthy and diseased pancreas |
| Qike Song1 and Yu Shi1 | ||
1radiology, Shengjing Hospital of China Medical University, Shenyang,, China |
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To determine the feasibility of multi-frequency MRE for assessing pancreatic stiffness in healthy volunteers and patients with pancreatic adenocarcinoma (PDAC).A total of 40 healthy volunteers and 10 patients with PDAC were prospectively recruited between March 2020 and October 2021.Each volunteer and patient underwent 3.0-T pancreatic MRE at frequencies of 30Hz, 40Hz, 60Hz, 80Hz and 100Hz.Shear stiffness of healthy pancreas and PDAC, pancreatic width and volume, waist circumference, and wave distance were measured. Image quality assessment was performed according to image quality score (IQS: 1~4，≥3 considered qualified). |
| 4222 | Booth 8
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Differentiation between hepatocellular carcinoma (HCC) and hepatic metastasis (HM) by mDIXON quant and IVIM imaging |
| Xue Ren1, Jiazheng Wang2, Liangjie Lin2, Zhigang Wu2, Qingwei Song1, Renwang Pu1, Lihua Chen1, Ying Zhao1, Tao Lin1, Qihao Xu1, and Ailian Liu1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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Hepatocellular carcinoma (HCC) and hepatic metastasis (HM) are associated with distinct treatment and prognosis, while the differential diagnosis of HCC and HM still remains challenging. This study aims to explore the value of mDIXON quant and IVIM imaging in the differential diagnosis of HCC and HM. Results shown that the combination of R2*and IVIM measurements may offer a good biomarker for differential diagnosis of HCC and HM. |
| 4223 | Booth 9
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High-Resolution Diffusion-Weighted Imaging of Hepatocellular Carcinoma (HCC) |
| Hui Zhang1, Chengyan Wang2, Peng Wu3, Huazheng Shi4, Weibo Chen3, and He Wang1 | ||
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Human Phenome Institute, Fudan University, Shanghai, China, 3Philips Healthcare, Shanghai, China, 4Shanghai Universal cloud imaging dignostic center, Shanghai, China |
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Diffusion-weighted imaging (DWI) is a widely used tool for diagnosing hepatocellular carcinoma (HCC). However, clinical routine liver DWI suffers from poor spatial resolution, severe geometry distortion, and image blurring since single-shot (SSH) echo-planar imaging (EPI) is used. Here we proposed an efficient solution for clinical high-resolution whole-liver DWI. The efficacy and generalization capability of the method were validated on healthy volunteers and HCC patients. |
| 4224 | Booth 10
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Correlation between liver function indexes and T1/T2 relaxation time in patients with liver cirrhosis |
| Wang Nan1, Qingwei Song1, Jiazheng Wang2, Peng Sun2, Lihua Chen1, and Ailian Liu1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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Evaluation of liver reserve function is crucial for patients with cirrhosis and is helpful for the determination of the surgical plan formulation, the evaluation of treatment process and prognosis, and the operation of cirrhosis. However, there is still lacking a clinically useable non-invasive technique to measure the abnormality of liver function. The purpose of this study is to investigate the potential correlation between T1/T2 relaxation time and liver function indexes in patients with cirrhosis using MR T1/T2 mapping. We found that there was a moderate correlation between T1/T2 relaxation time and liver function assay indexes in liver cirrhosis. |
| 4225 | Booth 11
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Stage liver fibrosis and inflammatory activity using radiomic models based on easy access magnetic resonance images |
| Huanhuan Wei1, Fangfang Fu2, Yaping Wu2, Yan Bai2, Nan Meng1, Wei Wei2, Kewei Liu3, Xianchang Zhang4, and Meiyun Wang2 | ||
1Academy of Medical Sciences, the People’s Hospital of Zhengzhou University, Zhengzhou, China, 2Department of Medical Imaging, Henan Provincial People's Hospital & the People’s Hospital of Zhengzhou University, Zhengzhou, China, 3The First People's Hospital of Zhoukou, Zhoukou, China, 4MR Collaboration, Siemens Healthineers Ltd, Beijing, China |
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Invasive pathological puncture biopsy is the diagnostic standard for liver fibrosis (LF), but it has certain risks and low repeatability. A non-invasive and reliable method is essential for early detecting and staging of LF. To this end, this study explored the feasibility of using radiomics approach based on easy access T1-weighted and T2-weighted fat saturation magnetic resonance imaging data to stage the liver fibrosis and inflammatory activity. The receiver operating curves analysis demonstrated that the trained radiomic models could effectively stage the LF and inflammatory activity with a high efficacy. |
| 4226 | Booth 12
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The value of IVIM-DWI and IDEAL-IQ in evaluating pathological grading of Hepatocellular Carcinoma |
| Shaopeng Li1, Kexue Deng1, and Peng Wang2 | ||
1Department of Radiology, The First Affiliated Hospital of USTC, Southern District of Anhui Provincial Hospital, Hefei, China, 2Department of Radiology, The First Affiliated Hospital of USTC, Southern District of Anhui Provincial Hospital, hefei, China |
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During the evolution of hepatocellular carcinoma(HCC) from high differentiation to low differentiation, the number of tumor cells increased and arranged more closely, the limited diffusion of water molecules was more obvious. Meanwhile, the iron and fat content in the lesions decreased gradually. The ADC、D values derived from IVIM-DWI and FF、R2* values derived from IDEAL-IQ can accurately reflect the diffusion limitation and the changes of fat and iron content in HCC, so as to accurately evaluate the pathological grade of HCC. |
| 4227 | Booth 13
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The value of different diffusion models in evaluating liver regeneration after standard partial hepatectomy in rats |
| caixin Qiu1, shuangshuang xie1, yajie Sun2, yongquan Yu3, xuyang Wang2, jinxia Zhu4, Grimm Robert5, and wen Shen2 | ||
1Radiology Department, Tianjin First Center Hospital, TIANJIN, China, 2Tianjin First Center Hospital, TIANJIN, China, 3Weihai Central Hospital, SHAN DONG, China, 4MR Collaboration, Siemens Healthcare Ltd., BEIJING, China, 5MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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Different diffusion weighted imaging (DWI) models were used to evaluate microscopic changes of residual liver in rats after standard partial hepatectomy (70%PH). Multiple b-value DWI at multiple timepoints after 70%PH were acquired, and the data was analyzed using three diffusion models: conventional monoexponential DWI, intravoxel incoherent motion (IVIM), and diffusion kurtosis imaging (DKI) models. Compared with the monoexponential model of DWI, IVIM and DKI models can describe the changes of blood supply in the process of liver regeneration and provide added value in evaluating the microstructure of liver regeneration after standard partial hepatectomy. |
| 4228 | Booth 14
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The value of DCE-MRI quantitatively predicting vascular invasion of rectal cancer |
| Wan Dong1, Anliang Chen1, Yuhui Liu2, Qingwei Song2, Lizhi Xie3, and Ailian Liu2 | ||
1Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2the First Affiliated Hospital of Dalian Medical University, Dalian, China, 3GE Healthcare, MR Research, Beijing, China |
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Vascular invasion has been proved to be closely related to the poor prognosis of rectal cancer. The current gold standard for the diagnosis of rectal cancer vascular tumor thrombus is postoperative pathology. MRI is a common technology in evaluating malignant tumor. In this work, we explored the feasibility of DCE-MRI in quantitatively predicting vascular invasion of rectal cancer. Results showed that the Ktrans and Kep can differentiate the vascular invasion from normal status accurately. Therefore, DCE-MRI may serve as a feasible and non-invasive way in predicting vascular invasion of rectal cancer preoperatively, that is of great significance for clinical diagnosis. |
| 4229 | Booth 15
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Age-related changes in elasticity, fat degeneration, and morphology of the pancreas: evaluation using multiparametric MR imaging |
| Akihiko Kanki1, Kazuya Yasokawa1, Hidemitsu Sotozono1, Kiyoka Maeba1, Atsushi Higaki1, Akira Yamamoto1, and Tsutomu Tamada1 | ||
1Radiology, Kawasaki Medical School, Kurashiki, Japan |
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We evaluated relationships between age and shifted apparent diffusion coefficient, proton density fat fraction (PDFF), and pancreas size using 3-T MRI. PDFF increased with age, and anterior-posterior diameters decreased with age. Interestingly, elasticity of the pancreas decreased with age. Based on these results, decreases in the size of the pancreatic parenchyma with age appear attributable to not only fibrosis, but also fatty degeneration, resulting in decreased elasticity. Fat content should be evaluated at the same time as fibrosis of the pancreatic parenchyma. |
| 4230 | Booth 16
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Vascular Involvement and Resectability of Pancreatic Ductal Adenocarcinoma on Contrast-Enhanced MRI: Comparison with Pancreatic Protocol CT |
| Yoshifumi Noda1, Nobuyuki Kawai1, Avinash R. Kambadakone2, Tetsuro Kaga1, Takuma Ishihara3, Fuminori Hyodo4, Hiroki Kato1, and Masayuki Matsuo1 | ||
1Department of Radiology, Gifu University, Gifu, Japan, 2Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 3Innovative and Clinical Research Promotion Center, Gifu University Hospital, Gifu, Japan, 4Department of Radiology, Frontier Science for Imaging, Gifu University, Gifu, Japan |
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MRI is used as a problem-solving tool when contrast-enhanced CT is not available for assessing pancreatic ductal adenocarcinoma. In this study, we evaluated the diagnostic performance of vascular involvement and resectability on MRI and compared them with pancreatic protocol CT. Our results showed that no statistical difference in terms of the detection of vascular involvement and the resectability classification based on the NCCN guideline between CT and MRI. |
| 4231 | Booth 17
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Quantitative Evaluation of Crohn's Disease Using Native T1 Mapping: A Feasibility Study |
| Daisuke Morimoto-Ishikawa1,2, Tomoko Hyodo3, Yoriaka Komeda4, Hiroyuki Fukushima1, Yu Ueda5, Keizou Miyagoshi1, Shigeyoshi Saito2, and Kazunari Ishii3 | ||
1Radiology Center, Kindai University Hospital, Osakasayama City, Japan, 2Department of Medical Physics and Engineering, Osaka University Graduate School of Medicine, Suita City, Japan, 3Department of Radiology, Kindai University, Osakasayama City, Japan, 4Department of Gastroenterology and Hepatology, Kindai University, Osakasayama City, Japan, 5Philips Japan, Tokyo, Japan |
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We investigated the usefulness of native T1 mapping using a modified look-locker inversion recovery (MOLLI) sequence, which can be used to evaluate Crohn's disease (CD). The nativeT1 value was measured by setting an ROI on the intestinal wall of the nativeT1 map containing the short-axis image of the intestine. Simple endoscopic activity score in CD (SES-CD) was used as the reference standard for evaluating CD activity. A strong correlation was found between native T1 value and the SES-CD (r = 0.83; p = 0.001). |
| 4232 | Booth 18
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Diffusion and perfusion MRI and radiomics signatures for preoperative evaluation of epithelial-mesenchymal transformation in rectal cancer |
| Yidi Chen1,2, Liling long3, Bin Song1, and Huiting Zhang4 | ||
1Radiology, West China Hospital, Sichuan University, Chengdu, China, 2Guangxi Medical University First Affiliated Hospital, Nanning, China, 3Radiology, Guangxi Medical University First Affiliated Hospital, Nanning, China, 4MR Scientific Marketing, Siemens Healthineers, Wuhan, China |
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This study demonstrated morphological characteristics of MRI can hardly diagnose the expression of E-cadherin and Vimentin in rectal cancer. ADC value (Ultra-high b-Value) was positively and negatively correlated with E-cadherin and Vimentin expression. Ktrans and Kep values were negatively and positively correlated with E-cadherin and Vimentin expression. ADC, Ktrans and Kep values had significant diagnostic efficiencies for low E-cadherin and high Vimentin expression. Radiomics signatures with machine learning have excellent diagnostic efficacy for E-cadherin and Vimentin expression, building the model which combined MRI quantitative parameters and radiomics features will improve the predictive performance for E-cadherin and Vimentin expression. |
| 4233 | Booth 1
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Dynamic contrast-enhanced magnetic resonance imaging of endometrial cancer with/without squamous differentiation |
| Mayumi Takeuchi1, Kenji Matsuzaki2, Yoshimi Bando3, and Masafumi Harada1 | ||
1Department of Radiology, Tokushima University, Tokushima, Japan, 2Department of Radiological Technology, Tokushima Bunri University, Sanuki-city, Japan, 3Division of Pathology, Tokushima University Hospital, Tokushima, Japan |
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DCE-MRI of endometrial cancer including 41 low-grade type I cancers without squamous differentiation (LG) and 39 with squamous differentiation (LG_w/SD), and 20 high-grade type II cancers (HG) was retrospectively evaluated. Significant difference in the time-intensity curves was found between LG and HG, and LG and LG_w/SD, whereas no significant difference was seen between HG and LG_w/SD. Curve type 3 (initial signal rise which is steeper than that of the myometrium) was more frequent in HG (60%) and LG_w/SD (77%) than in LG (34%). It should be recognized as a pitfall that HG and LG_w/SD may show similar early strong enhancement. |
| 4234 | Booth 2
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Reliability Assessment of IVIM Imaging with Different b-values in Evaluating Myometrium Invasion of Endometrial Cancer |
| Fang Wang1, Ying Liu 1, Chen Zhang2, and Zhaoxiang Ye1 | ||
1Department of Radiology, Tianjin Medical University Cancer Hospital, Tianjin, China, 2MR Scientific Marketing, Siemens Healthineers, Beijing, China |
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The incidence of Endometrial Carcinoma (EC) has occupied the first place among malignant tumors of the female reproductive system. This study aims to explore the reliability of different b-values of IVIM-MRI in evaluating the myometrial invasion of endometrial cancer using advanced ZOOMit technique. The results showed that group A was the highest, group B was the second, and group C was the lowest in evaluating consistency and repeatability of D value, D* value and fp value. It indicated diagnostic is related to b values combinations of IVIM imaging for EC. |
| 4235 | Booth 3
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Low Variance ADC Technique Reduces Bias of Kidney ADC Values |
| Qiao Li1, Xiance Zhao2, and Peng Wu2 | ||
1Radiology, Jiangsu Provincial People’s Hospital,Nanjing Medical University, Nanjing, China, 2Philips Healthcare, Shanghai, China |
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Low variance (LOVA) ADC technique could compensate for gradient linearity errors, delivering consistent ADC values with high accuracy in large FOV. This work aims to investigate if gradient nonlinearity bias can be corrected in evaluating the ADC values of kidney using LOVA ADC technique. Our results verified that the corrective effect exists in both health volunteers and patients with common kidney diseases. With the corrected ADC, we could better estimate the unbiased difference between marginal lesions and central lesions, to better predict biological behavior of tissues and provide useful information for diagnosis and treatment. |
| 4236 | Booth 4
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Reduced field-of-view diffusion-weighted MRI improving diagnostic value in cervical cancer |
| Huihui Wang1 and Jianxing Qiu1 | ||
1Peking University First Hospital, Beijing, China |
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This study was aimed to investigate the image quality and signal intensity (SI) of reduced field-of-view (r-FOV) DWI in patients with cervical cancer in comparison with full FOV (f-FOV) DWI. The subjective image quality, quantitative tumor conspicuity and quantitative normal tissue contrast were better for the r-FOV DWI images than for f-FOV DWI. The tumour diameters measured from the r-FOV DWI images experienced less bias than those from the f-FOV DWI. Those suggest that r-FOV DWI improving diagnostic value in cervical cancer than f-FOV DWI. |
| 4237 | Booth 5
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Alterations of renal function in patients with diabetic kidney disease: A BOLD and DTI study |
| Xiaobao Wei1, Runyue Hu2, Xiaoli Zhou2, Dongqing Zha1, Haibo Xu2, Xiaoyan Wu1, and Weiyin Liu3 | ||
1Nephrology, Zhongnan Hospital of Wuhan University, Wuhan, China, 2Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China, 3GE Healthcare, Beijing, China |
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Renal damage varies in patients with diabetic kidney disease (DKD). Our study aims to determine the patterns of renal oxygenation changes and microstructural changes by blood oxygenation level-dependent magnetic resonance imaging (BOLD-MRI) and diffusion tensor imaging magnetic resonance imaging (DTI-MRI) with the deteriorating kidney function. |
| 4238 | Booth 6
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A comparative study of non-PTX‑zoom‑DWI with conventional DWI in bladder cancer lesion display and muscular invasion diagnosis |
| Zhenming Zhang1, Naiming Xue2, Yueluan Jiang3, Lulu Guo2, Mengchao Zhang2, Bo Gao4, Shishun Zhao5, Lin Liu2, and Thomas Benkert6 | ||
1China-Japan Union Hospital of Jilin University, Changchun, China, 2Radiology, China-Japan Union Hospital of Jilin University, Changchun, China, 3MR Scientific Marketing, Siemens Healthineers, Beijing, China, 4Jilin Metering Center, State Grid Corporation of China, Changchun, China, 5College of Mathematics of Jilin University, Changchun, China, 6MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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The value of non-parallel-transmission zoom-diffusion weighted imaging (non-PTX zoom-DWI) compared with conventional DWI in the diagnosis of bladder cancer muscular invasion is investigated. Results show that non-PTX zoom-DWI improves sensitivity, specificity, positive predictive value, negative predictive value, and accuracy. Additionally, it has good diagnostic consistency across different readers, and shows better display of bladder than conventional DWI sequence. Non-PTX zoom-DWI may be superior to conventional DWI in predicting the muscular invasion in bladder cancer. |
| 4239 | Booth 7
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Non-rigid registration of DIXON images is an accurate method for calculating physiological strain in adipose tissue |
| Alice Hatt1, Robert Lloyd1,2, Bart Bolsterlee1,3, and Lynne E. Bilston1,4 | ||
1NeuRA, Sydney, Australia, 2School of Medical Sciences, University of New South Wales, Sydney, Australia, 3Graduate School of Biomedical Engineering, University of New South Wales, 2052, Australia, 4Faculty of Medicine, University of New South Wales, Sydney, Australia |
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To accurately map the large deformation properties of soft tissues, accurate, in-vivo measurements of internal strain are essential. In this study, the Right Cauchy Green strain of adipose tissue was calculated from displacements generated through the non-rigid registration of mDIXON images under increasing compression. The method was validated by synthetically deforming an uncompressed image with compression. Five real-world datasets were acquired of adipose tissue under increasing compression, which resulted in significant increases in the maximum principal strain (one-way ANOVA, p<0.001). The described method provides an accurate quantification of physiological strains in adipose tissue that is essential for mapping strain-varying viscoelasticity. |
| 4240 | Booth 8
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The Value of Clinical application of T2WI with CSAI - a deep learning constrained Compressed SENSE reconstruction on prostate cancer |
| Xiaobo Ding1, Xiang Qiu1, Zhuo Wang1, Ying Qiu1, Xu Zhang1, Yi Zhu2, and Ke Jiang2 | ||
1Radiology department, First Hospital of JiLin University, ChangChun, China, 2Philips Healthcare, BeiJing, China |
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Image quality of T2WI suffers from long scanning time. Compressed SENSE (C-SENSE) allow for Shorter scanning time and Ensuring good image quality，Image quality can be further optimized with CSAI . A total of 20 patients with prostate cancer (PC) underwent MRI including T2WI with SENSE-2（S2）and SENSE-4 （S4）、CS4 and CSAI4. SNR was significantly higher in CSAI4 than CS4 and S4. In comparison CNR between of S4、CS4 and CSAI4 of clinically insignificant PC, only CSAI4 had significant difference. CSAI4 improves the image quality and may contribute to increased diagnostic performance of tumor and clinicians’ confidence in the detection and diagnosis of prostate cancer. |
| 4241 | Booth 9
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The differential value of the combination of DWI and T2 mapping in the identification of prostatic hyperplasia from prostatic cancer. |
| Xiwei Li1, Lihua Chen1, Qingwei Song1, Peng Sun2, and Ailian Liu1 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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DWI plays an important role in the diagnosis of prostate cancer by detecting water molecules diffusion noninvasively, which reflects the microstructure of tumor tissue. However, only DWI might be limited by low sensitivity and specificity. T2 mapping imaging is a quantitative imaging technology to map the transverse relaxation time of tissues with good repeatability and stability. T2 mapping is also sensitive to tissue components (such as edema, fibrosis) without a contrast agent. This study aims to differentiate prostate cancers from hyperplasia by combining DWI and T2 mapping. |
| 4242 | Booth 10
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T2-weighted imaging with deep learning reconstruction as an alternative method for prostate imaging: a preliminary study |
| Hao Cheng1, Jinxia Zhu2, Marcel Dominik Nickel3, Ming Liu4, Chunmei Li1, and Min Chen1 | ||
1Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China, 2MR Collaboration, Siemens Healthineers Ltd, Beijing, China, 3MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 4Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China |
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The purpose of this research is to explore the clinical performance of T2-weighted imaging with deep learning reconstruction (DL-T2WI) for prostate imaging. We compared DL-T2WI and conventional T2WI using TSE (C-T2WI) in terms of image quality, ghosting and tumor conspicuity. The results showed that compared with C-T2WI, DL-T2WI has comparable image quality, ghosting, and tumor conspicuity. The acquisition time of the complete examination using DL-T2WI is 9 minutes shorter than C-T2WI per patient, which suggests that DL-T2WI could replace C-T2WI in clinical settings, with a significantly shorter examination time. |
| 4243 | Booth 11
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T1 mapping with extracellular volume fraction measurement to evaluate histological features of cervical squamous cell carcinoma |
| Shujian Li1, Jie Liu1, Marcel Dominik Nickel2, Jingliang Cheng1, and Jinxia Zhu3 | ||
1the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Siemens Healthcare GmbH, Erlangen, Germany, 3Siemens Healthcare Ltd, Beijing, China |
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This study investigated the feasibility of extracellular volume fraction (ECV) measurement using T1 mapping to evaluate histological grade, lymphovascular space invasion (LVSI) status, perineural invasion (PNI) status, and Ki-67 proliferation index (PI) of cervical squamous cell carcinoma (CSCC), and to compare T1 mapping with diffusion-weighted imaging (DWI). Results showed that T1 mapping-derived parameters (ΔT1, ECV) can effectively grade and predict CSCC LVSI status, PNI status, and Ki-67 PI, and ADC values can stratify CSCC grading. ECV may represent an effective quantitative imaging biomarker indicating the poor-prognosis histological features of CSCC and may provide incremental diagnostic value beyond qualitative MRI features. |
| 4244 | Booth 12
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Development and validation of a semi-automated framework for PI-RADS v2.1 assessment |
| Dharmesh Singh1, Virendra Kumar2, Chandan J Das3, Anup Singh1,4, and Amit Mehndiratta1,4 | ||
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 Radiodiagnosis, All India Institute of Medical Sciences (AIIMS) Delhi, New Delhi, India, New Delhi, India, 4Department of Biomedical Engineering, All India Institute of Medical Sciences (AIIMS) Delhi, New Delhi, India, New Delhi, India |
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Prostate Imaging-Reporting and Data System version 2.1 (PI-RADS v2.1) was developed to standardize the interpretation of multiparametric MRI (mpMRI) for prostate cancer (PCa) detection. However, a significant inter-reader variability among radiologists has been found in the PI-RADS assessment. An automated or semi-automated PI-RADS assessment system could be beneficial in the screening process of PCa and could improve the consistency of scoring. The purpose of this study was to evaluate the diagnostic performance of an in-house developed semi-automatic framework for PI-RADS assessment using machine learning classifiers. |
| 4245 | Booth 13
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Application of synthetic MRI to diagnose benign and malignant breast masses: APTw imaging combined with T1 Mapping and DWI imaging |
| Jie Ding1, Zhen Zhang1, Rui Wang 1, Xiuzheng Yue2, Rongrong Zhu1, and Ruoshui Ha1 | ||
1Medical Imaging Center, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China, 2Philips Healthcare, Beijing, China |
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Breast cancer has surpassed lung cancer to become the world's largest cancer for the first time, and the cancer mortality rate ranks second, showing a younger trend in recent years. APTw imaging, as a noninvasive molecular imaging technique, can measure the concentration of free proteins and polypeptides in tissues without the use of exogenous contrast agents, based on a chemical exchange between amide protons and water protons. The aim of study was to explore the diagnostic efficacy for benign and malignant breast tumor by using synthetic MRI. |
| 4246 | Booth 14
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Radiomics based on biparametric MRI for the detection of significant residual prostate cancer after androgen deprivation therapy |
| Xiaohang Liu1, Zhangzhe Chen1, Weijie Gu1, Bingni Zhou1, Wei Liu1, Hualei Gan1, Yong Zhang2, and Liangping Zhou1 | ||
1Fudan University Shanghai Cancer Center, Shanghai, China, 2GE Healthcare, Shanghai, China |
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The purpose of this study was to use the radiomics method to differentiate prostate cancer and benign peripheral zone (PZ) tissues and investigate its ability to detect significant residual prostate cancer based on whole-mount pathology. The mean ADC of significant residual lesions was significantly lower than that of CR/MRD, which was significantly lower than that of benign tissues. The efficiency of the radiomics models was similar to that of ADC in distinguishing CR/MRD from benign tissue and distinguishing residual from benign tissue. The radiomics models showed superior efficiency in differentiating significant residual from CR/MRD as compared to ADC. |
| 4247 | Booth 1
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The feasibility of ZTE MR lung imaging in the assessment of pulmonary nodules or masses: a prospective head-to-head comparison with CT |
| Qianyun LIU1, Zhichao Feng2, Wenming Zhou1, and Weiyin Vivian LIU3 | ||
1Medical Imaging, Yueyang Central Hospital, Medical Imaging, Yueyang Central Hospital, Yueyang, Hunan, China, China, 2Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China, Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China, Changsha, Hunan, China, China, 3GE Healthcare, MR Research China, Beijing, Beijing, China, China |
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The feasibility of zero echo time MR lung imaging in the assessment of pulmonary nodules or masses: a prospective head-to-head comparison with CT. |
| 4248 | Booth 2
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Differentiating Cytokeratin 19 Expression of HCC by Using Multi-b-value Diffusion-Weighted MR Imaging |
| Jiejun Chen1, Yixian Guo1, Shujie Zhang1, Wei Sun1, Yinglong Guo1, Yunfei Zhang2, Yongming Dai2, Dongmei Wu3, and Xiuzhong Yao1 | ||
1Zhongshan Hospital affiliated to Fudan University, Shanghai, China, 2Central Research Institute, United Imaging Healthcare, Shanghai, China, 3Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronics Science, East China Normal University, Shanghai, China |
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Diffusion-weighted imaging (DWI) is a powerful functional MRI technique. However, scarcely has the DWI been used to identify the expression of Cytokeratin 19 (CK19) in hepatocellular carcinoma (HCC). In this study, we aim to differentiate CK19 positive and negative HCC with diffusion parameters derived from different DWI techniques. Our results showed that diffusion parameters can be used as noninvasive quantitative imaging markers for preoperatively predicting the CK19 expression of HCCs. More importantly, the integration of different diffusion parameters could better describe the characteristics of tumor tissues，thus reaching better diagnostic performance. |
| 4249 | Booth 3
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The value of IVIM and enhanced T2star weighted angiography for preoperatively predicting Ki-67 status in hepatocellular carcinoma |
| Qihao Xu1, Ying Zhao1, Wenjing Qi2, Xue Ren1, Tao Lin1, Qingwei Song1, and Ailian Liu1,3 | ||
1Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, Liaoning, China, China, 2Department of Pathology, The First Affiliated Hospital, Dalian Medical University, Dalian, Liaoning, China, China, 3Dalian Engineering Research Center for Artificial Intelligence in Medical Imaging, Dalian, Liaoning, China |
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In hepatocellular carcinoma (HCC) patients, high Ki-67 was closely related with tumor size, vein invasion, histological grade and the metastasis. This worked aimed at investigating the value of intravoxel incoherent motion (IVIM) diffusion-weighted magnetic resonance (MR) imaging and enhanced T2star weighted angiography(ESWAN) for predicting tumor Ki-67 status in HCC. The results showed that Standard ADC, DDC, R2*, T2* and combine had promising performances in predicting Ki-67 status. This research suggested that the IVIM and ESWAN held great potential in predicting the Ki-67 status of HCC, which is valuable for noninvasively, preoperatively and accurately predicting the prognostic factors during clinical practice. |
| 4250 | Booth 4
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Multifrequency MR elastography for the detection of Glypican 3-positive hepatocellular carcinoma |
| Yihuan Wang1, Ruokun Li1, Jiahao Zhou1, Jing Guo2, Ingolf Sack2, and Fuhua Yan1 | ||
1Department of Radiology, Department of Radiology, Ruijin Hospital，Shanghai Jiao Tong University School of Medicine, Shanghai, China, 2Department of Radiology, Charité–Universitätsmedizin Berlin, Berlin, Germany, Berlin, Germany |
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Glypican-3 (GPC3) expression in hepatocellular carcinoma (HCC) is often associated with a poor prognosis. GPC3 is a promising target for tumor-specific immunotherapy in HCC. We investigated the diagnostic performance of viscoelastic properties quantified by tomoelastography, a multifrequency MR-elastography (MRE) technique, for the detection of GPC3-positive HCC. Preliminary results showed that reduced stiffness quantified by tomoelastography is a mechanical signature of positive GPC3 expression in HCC. Combining stiffness and serum alpha-fetoprotein (AFP) level could be considered as a viable biomarker for detecting GPC3-positive HCC as well as for predicting the outcome of GPC3-targeted immunotherapy. |
| 4251 | Booth 5
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Texture analysis of R2* maps for evaluating the pathological grade of hepatocellular carcinoma |
| Qihao Xu1, Ying Zhao1, Dahua Cui1, Qingwei Song1, Xue Ren1, Tao Lin1, Xin Li2, Yan Guo2, Tingfan Wu2, and Ailian Liu1,3 | ||
1Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, Liaoning, China, 2GE Healthcare, Shanghai, China, 3Dalian Engineering Research Center for Artificial Intelligence in Medical Imaging, Dalian, Liaoning, China |
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Hepatocellular carcinoma (HCC) is a common malignant tumor with a high mortality. The higher the pathological grade represents lower the differentiation degree of HCC. Patients with low differentiation have a higher postoperative recurrence rate and the worse prognosis. Texture analysis is a post-processing method that highlights the difference between the brightness of pixel features and the intensity of background signals by analyzing the distribution and spatial relationship of gray values, and quantify and evaluate the heterogeneity of tumors at the pixel level. This research suggested that R2* maps texture analysis held great potential in evaluating the pathological grade of HCC. |
| 4252 | Booth 6
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Predicting treatment response using intratumoral and peritumoral radiomics based on CE-MRI for patients with HCC treated with TACE |
| Ying Zhao1, Ailian Liu1,2, Yu Yao3,4, Han Wen3,4, Qingwei Song5, Tao Lin1, Xin Li6, Yan Guo6, and Tingfan Wu6 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Dalian Engineering Research Center for Artificial Intelligence in Medical Imaging, Dalian, China, 3Chengdu Institute of Computer Application, Chinese Academy of Sciences, Chengdu, China, 4University of Chinese Academy of Sciences, Beijing, China, 5Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China, 6GE Healthcare (China), Beijing, China |
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This work aimed at exploring the role of radiomics assessment of hepatocellular carcinoma (HCC) intratumoral and peritumoral regions based on contrast-enhanced magnetic resonance imaging (CE-MRI) to predict treatment response to transarterial chemoembolization (TACE) in patients with HCC. The results showed that the radiomics approach based on intratumoral and peritumoral regions has potential to improve performance for response prediction using preoperative CE-MRI. |
| 4253 | Booth 7
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Application of Multi-Echo DIXON and HISTO quantitative techniques for staging of liver fibrosis in patients with chronic hepatitis B |
| Laiyang Ma1, Yanli Jiang1, Jie Zou1, Fengxian Fan1, Jing Zhang1, and Shaoyu Wang2 | ||
1Lanzhou University 2 Hospital, Lanzhou, China, 2MR Scientific Marketing, Siemens Healthineers, ShangHai, China |
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The purpose of this study was to evaluate the value of Multi-echo DIXON(6 echo) and HISTO techniques for staging of liver fibrosis in patients with chronic hepatitis B. We found that PDFF% value and R2* value had a certain correlation with liver fibrosis, Multi-echo DIXON and HISTO quantitative techniques may be helpful for staging liver fibrosis. |
| 4254 | Booth 8
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The feasibility of using magnetic resonance elastography for differentiation of benign and malignant solid pancreatic masses |
| Jiejun Chen1, Dingxia Liu1, Shujie Zhang1, Wei Sun1, Yinglong Guo1, Yunfei Zhang2, Yongming Dai2, and Xiuzhong Yao1 | ||
1Zhongshan Hospital affiliated to Fudan University, Shanghai, China, 2Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Magnetic resonance elastography (MRE) is an emerging functional MR technique. Pancreatic ductal adenocarcinoma (PDAC), as one of the most lethal diseases, accounts for 85–90% of all malignant pancreatic tumors. Histologically, PDAC is a hard mass characterized by a marked desmoplastic reaction and build-up of fibrotic tissues. In this study, we aim to evaluate the usefulness of 2D spin-echo echo-planar-imaging (SE-EPI) MRE for differentiation of solid pancreatic masses. Our results showed that compared with benign pancreatic masses, PDAC demonstrated higher mass stiffness and stiffness. |
| 4255 | Booth 9
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Robust fat saturation by combination of SPIR with gradient reversal for TSE at large FOV and coverage |
| Zhigang Wu1, Yajing Zhang2, Xiuquan Hu1, Jing Zhang1, Guangyu Jiang3, Fei Zeng1, Xiaofang Xu1, Yan Zhao3, and Jiazheng Wang1 | ||
1Philips Healthcare, Beijing, China, 2MR Clinical Science, Philips Healthcare (Suzhou), Suzhou, China, 3MR R&D, Philips Healthcare (Suzhou), Suzhou, China |
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Robust fat suppression remains essential in clinical MRI to improve tissue signal contrast, minimize fat-related artifacts, and enhance image quality. It’s still a challenge to suppress the fat signal when the FOV and coverage is large, especially for abdomen imaging, where uneven fat suppression become common owing to both B0 and B1 field inhomogeneity. We propose a new solution that combines the optimized gradient reversal technique and Spectral Presaturation with Inversion Recovery (SPIR) simultaneously to overcome these challenges. This framework allows to suppress the fat signal robustly in large FOV with whole liver and kidney coverage. |
| 4256 | Booth 10
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Comparison between image quality of 3D T1 GRE sequence with and without deep learning reconstruction at gadoxetic acid-enhanced liver MRI |
| Jeong Hee Yoon1, Joonsung Lee2, Ersin Bayram3, and Jeong Min Lee1 | ||
1Radiology, Seoul National University Hospital, Seoul, Korea, Republic of, 2GE Healthcare, Seoul, Korea, Republic of, 3GE Healthcare, Houston, TX, United States |
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Liver magnetic resonance imaging (MRI) has been widely performed for liver lesion detection and characterization. There have been attempts to improve the image quality of T1-weighted images at liver MRI. Recently, deep learning (DL)-based reconstruction gains attention as a tool for improving the image quality without substantial computational power or difficult sequence modification. |
| 4257 | Booth 11
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Water specific T1 mapping for characterization of inflammation grades at early stage in Rats with Non-alcoholic fatty liver disease (NAFLD) |
| Qian Wan1, Hao Peng 1, Jianxun Lyu1, Yi Wang2, Feng Liu2, Chuanli Cheng1, Yangzi Qiao1, Hairong Zheng1, Xin Liu1, and Chao Zou1 | ||
1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2Peking University People's Hospital, Beijing, China |
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Detection of inflammation is important to the NAFLD patients. Liver biopsy is limited by the sampling error. T1 quantification from MRI is believed to be one of promising imaging method to detect inflammation. However, intracellular hepatocyte lipid is a confounding factor for the accurate T1 quantitation in the case of the NAFLD. This study established a variable flip-angle multi-echo GRE sequence to produce the T1 value of water component (wT1) in a NAFLD rat model who underwent biopsy. The results indicate that wT1 could discriminate between moderate and severe inflammation stages (G2 +G3) from the no and mild stages (G0+G1). |
| 4258 | Booth 12
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The spectrum of MRI-PDFF, MRS, and two different histopathologic methods (AI vs. pathologist) in the quantification of hepatic steatosis |
| Jeong Woo Kim1 and Chang Hee Lee2 | ||
1Radiology, Korea University Guro Hospital, Seoul, Korea, Republic of, 2Korea University Guro Hospital, Seoul, Korea, Republic of |
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The aim of our study was to 1) provide spectrum of values of multi-echo mDixon MRI-PDFF, FFMRS, and FFs measured by two different histopathologic methods (pathologist and automatic fat vacuole segmentation), and 2) to evaluate the correlation among them. The values of MRI-PDFF and FFMRS were significantly higher than FFAI and significantly lower than FFpathologist. Except for one case (97.9%,46/47), FFMRS always showed higher value than MRI-PDFF and the average difference was 2.06 %. MRS and MRI-PDFF showed strong correlation with each other and with each histopathologic method. MRI-PDFF or MRS could be used as an alternative non-invasive reference standard. |
| 4259 | Booth 13
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The ultrashort echo time (UTE) sequence quantifies high liver iron more accurately than the multiecho gradient-recalled echo (GRE). |
| Petr Bulanov1, Evelina Manzhurtseva2, Petr Menshchikov3, Artem Tolkalov4, Dmitriy Kupriyanov3, Galina Tereshchenko2, and Galina Novichkova2 | ||
1Lomonosov Moscow State Univesity, Moscow, Russian Federation, 2Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russian Federation, 3Philips Healthcare, Moscow, Russian Federation, 4National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russian Federation |
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The most common MRI sequence for iron overload assessment is Cartesian multiecho gradient-recalled echo (GRE) sequence typically measured in a single breath-hold. However, Breath-holding, is not possible for people who are sedated and is difficult for those who have difficulties with holding their breath for a long period. Ultrashort TE (UTE) imaging is one of the solutions for this challenge. In this method radial data acquisition utilized for free breath scanning. Thus, the main goal of this study is to compare the GRE and UTE sequences on a sample of patients with varying degrees of liver iron overload. |
| 4260 | Booth 14
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Optimal breath-hold dynamic liver MRI using a combination of compressed sensing with contrast-enhanced timing robust angiography technique |
| Nobuyuki Kawai1, Yoshifumi Noda1, Tetsuro Kaga1, Kimihiro Kajita2, and Masayuki Matsuo1 | ||
1Gifu University, Gifu, Japan, 2Gifu University Hospital, Gifu, Japan |
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Rapid dynamic liver MRI with compressed-sensing sensitivity encoding (Compressed SENSE) can reduce respiratory motion artifacts. However, Since the central k-space filling is random or posterior half of the acquisition in Compressed SENSE, optimal acquisition timing is missed only using a conventional scan delay method for hepatic arterial dominant phase (HAP). We assessed a combination of Compressed SENSE with contrast enhanced robust angiography (CENTRA) for dynamic liver MRI. CS-CENTRA sequence achieved significantly higher arterial enhancement with comparable CNR compared to CS-conventional one in HAP. CS-CENTRA contributed to optimal acquisition timing for HAP. |
| 4261 | Booth 15
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Quantitative Evaluation of Liver Function using Normalized Gadoxetic Acid Concentration in Hepatobiliary Phase |
| Shoma Eitoku1, Yasuhiro Fujiwara2, and Motohira Mio3 | ||
1Graduate School of Health Sciences, Kumamoto University, Kumamoto, Japan, 2Department of Medical Image Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan, 3Department of Radiology, Fukuoka University Chikushi Hospital, Fukuoka, Japan |
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The purpose of this study was to clarify whether gadoxetic acid concentration in the hepatic focal area at hepatobiliary phase (CHep), normalized by dose (normalized CHep), could be used as an index for quantitative liver function assessment. In severe liver dysfunction, a moderate correlation was observed between gadoxetic acid concentration and dose. Normalized CHep with bias correction based on the dose of gadoxetic acid may be used as an index of liver function, especially in the stratification of severe liver dysfunction. |
| 4262 | Booth 16
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Diagnostic values and agreement of Gadoxetic Acid-enhanced MRI and Dual Tracer PET/CT (18F-FDG and 11C-Acetate) in Hepatocellular carcinoma |
| Solomon Yig-Joon Ka1, Gladys Goh Lo1, Christine Shing Yen Lo1, and Cindy Xue2,3 | ||
1Department of Diagnostic & Interventional Radiology, Hong Kong Sanatorium and Hospital, Hong Kong, Hong Kong, 2Research Department, Hong Kong Sanatorium and Hospital, Hong Kong, Hong Kong, 3Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, Hong Kong |
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The diagnoses of hepatocellular carcinoma (HCC) are mostly made at advanced stage, which is associated with unfavorable prognosis and suboptimal survival. While dual-tracer PET/CT (dt-PET/CT) and gadoxetic acid-enhanced MRI are effective in detecting liver lesions, diagnostic performance of gadoxetic acid-enhanced MRI in identifying small HCC lesions compared with dt-PET/CT remains unclear. Here, we compare the sensitivity and specificity of each imaging modality to diagnose HCC. Gadoxetic acid-enhanced MRI has higher sensitivity in detecting HCC lesions than using dt-PET/CT, especially in smaller HCC lesions. Thus, gadoxetic acid-MRI could provide clinical value in the early diagnosis of HCC. |