ISMRM25 - Non-Invasive Imaging of Hepatic & Pancreatic Iron & Fat

ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

Non-Invasive Imaging of Hepatic & Pancreatic Iron & Fat

Digital Poster

Body

Tuesday, 13 May 2025

Exhibition Hall

13:30 - 14:30

Session Number: D-52

No CME/CE Credit

		Computer Number: 81 2658. Pancreatic T1, T2, T2* and PDFF values in healthy pancreas and spectrum of pancreatitis View Presentation Video M. Gunasingh, N. Suryadevara, S. Naidu, T. Putta, S. Kaza, J. Sreekumar, J. Neelavalli Philips India Limited, Chennai, India Impact: Multiparametric MRI of pancreas can reveal tissue properties which are not apparent to the naked eye on conventional MRI sequences, and can help assess pancreatic health, identify subclinical disease, and potentially predict the nature course of illness.
		Computer Number: 82 2659. Evaluation of a Vendor-Agnostic, Free-Breathing Fat and Iron Quantification Technique in Adults and Children View Presentation Video J. Tang, D. Tamada, J-F Nielsen, J. Starekova, A. Anagnostopoulos, A. Murphy, N. Duritsa, A. Carrel, I. Rosado Mendez, S. Reeder, D. Hernando University of Wisconsin-Madison, Madison, United States Impact: Free-breathing Pulseq-FAM has excellent performance in adults and children, and is easily deployable across multiple vendors. Therefore, Pulseq-FAM may enable cross-center studies and clinical trials for which sequence harmonization is crucial, and may encourage additional vendor-native implementations for clinical use.
		Computer Number: 83 2660. Fat quantification map facilitates intra-tumoral microscopic fat visualization, detection and quantification View Presentation Video L. Xu, Y. Zhong, W. Cui, D. Luo, Z. Liu Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 113 Baohe Avenue, 518116, Shenzhen, China, Shenzhen, China Impact: Fat-quantification maps can improve the indentification and quantification of microscopic fat, enhancing differentiation of angiomyolipoma and renal cell carcinoma, which can be integrated seamlessly into clinical workflows for a systematic approach.
		Computer Number: 84 2661. MRI-PDFF evaluation of frequency difference electrical impedance tomography for low-cost, non-invasive liver fat quantification View Presentation Video C. Rettenmeier, K. Edwards-Calma, U. Lim, R. Chan, J. Li, Z. Kon, M. Buras, Z. Yu, L. Le Marchand, V. A. Stenger, S. Kwee University of Hawai'i at Mānoa, Honolulu, United States Impact: fd-EIT could have a large impact on early diagnosis and monitoring of liver disease. Further development and validation in larger cohorts is needed to support the generalizability of our findings.
		Computer Number: 85 2662. Deep Learning-Driven Estimation of Hepatic Proton Density Fat Fraction from Routine MRI Sequences as a Substitute for Quantitative Dixon Imaging View Presentation Video A. Wang, L. Qian, Y. Song, L. Jiang, C. Wang, G. Yang Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China Impact: This approach could make PDFF more accessible using standard MRI sequences, enabling liver fat quantification without the need for qDixon imaging. It also facilitates the early detection and monitoring of liver steatosis in routine clinical settings.
		Computer Number: 86 2663. Comparative Analysis of Liver Iron Concentration: Inline R2* of mDixon-Quant and Multi-Echo Gradient Echo Versus Spin Echo Method View Presentation Video J. Zhang, S. Hipko, N. Ali, D. Akselrod University of Vermont Medical Center, Burlington, United States Impact: The Liver Iron Concentration (LIC) calculated using the inline R2*maps from both 3D mDixon and multi-echo GRE methods (mGRE) (each with single breath-hold of <12s) strongly correlated to the FDA approved Ferriscan spin echo (SE) based method.
		Computer Number: 87 2664. Phase-Based R2 Mapping for Single Breath-Hold Whole-Liver Iron Quantification : Clinical Validation View Presentation Video D. Tamada, R. Navaratna, J. Weaver, D. Hernando, S. Reeder University of Wisconsin-Madison, Madison, United States Impact: PB-R2 mapping enables rapid, accurate whole-liver iron quantification within a single breath-hold, enhancing clinical efficiency and patient comfort. It may improve iron overload assessment and inspire further research to address fat bias in R2 mapping.
		Computer Number: 88 2665. Quantitative assessment of liver fibrosis by using hepatocyte uptake ratio based on T1 mapping G. Zhang, X. Li, X. Quan, Q. Chan, X. Jin Department of Radiology, Zhujiang Hospital of Southern Medical University, Guangzhou, China, guangzhou, China Impact: To our knowledge, this study marks the first time hepatocyte uptake ratio has been used to stage liver fibrosis, which offers a fresh perspective and paves the way for more accurate evaluation for liver fibrosis in the future.
		Computer Number: 89 2666. Baseline predictors of adipose tissue proton density fat fraction (PDFF) reduction in participants undergoing metabolic bariatric surgery View Presentation Video V. Martins, M. Silva, D. Batakis, J. Weeks, Y. Covarrubias, T. Wolfson, W. Henderson, D. Harris, E. Grunvald, J. Schwimmer, R. Broderick, G. Jacobsen, L. Funk, A. Lidor, R. Agni, R. Sappenfield, S. Reeder, C. Sirlin University of California San Diego, San Diego, United States Impact: Adipose tissue PDFF, with further research and validation, could aid as a novel metric in monitoring metabolic health in patients with obesity and during weight loss.
		Computer Number: 90 2667. Ectopic abdominal fat measured by MRI-PDFF compared to severity of subcutaneous adipose tissue fibrosis View Presentation Video S. Anbu Rajan, S. Noworolski, E. Castellanos, D. Alba, M. Gibbons, P. Hunt, S. Koliwad University of California, San Francisco, San Francisco, United States Impact: SAT fibrosis is associated with high liver and pancreatic fat fraction and high visceral to subcutaneous fat volume ratio, suggesting worse metabolic health, particularly for those with low BMI and for females.
		Computer Number: 91 2668. Deuterium MRS for in vivo measurement of lipogenesis in the liver View Presentation Video A. Gursan, R. de Graaf, M. Thomas, J. Prompers, H. De Feyter University Medical Center , Utrecht, Netherlands Impact: The initial observations in vivo in a rat model provide a basis for this approach to be translated and develop noninvasive, quantitative measurements of hepatic DNL in humans.
		Computer Number: 92 2669. Novel multi-parameter MRI-based MPET1 Model for Identification of Metabolic dysfunction-associated steatohepatitis View Presentation Video W. Ma, X. Huang, Y. Sun, Z. Qin, W. Tan, J. Yuan Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shang Hai, China Impact: The MEPT1 model based on multi-parameter MRI is more accurate and superior to MAST score in noninvasive identification of MASH patients, which can assist clinical identification and evaluation of MASH patients.
		Computer Number: 93 2670. Hepatic PDFF quantification using phase-cycled bSSFP: First-in-patient study View Presentation Video B. Acikgoz, A. Mackowiak, G. Bongiolatti-Rossi, T. Hilbert, J-B Ledoux, N. Vietti-Violi, J. Bastiaansen Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland Impact: Fat fraction mapping with phase-cycled bSSFP is feasible in patients, presenting a non-invasive alternative to biopsy and MRS. Its high SNR and robustness against T1 bias might make it a powerful alternative to existing methods in liver steatosis assessment.
		Computer Number: 94 2671. Metabolic dysfunction-associated steatohepatitis (MASH) dampens liver fat reduction in participants after metabolic bariatric surgery View Presentation Video V. Martins, D. Batakis, Y. Covarrubias, J. Weeks, T. Wolfson, W. Henderson, D. Harris, E. Grunvald, J. Schwimmer, R. Broderick, G. Jacobsen, L. Funk, A. Lidor, R. Agni, R. Sappenfield, S. Reeder, C. Sirlin UC San Diego, San Diego, United States Impact: For patients with obesity and MASH, adjuvant treatment may be needed to achieve the same total goal reduction in liver fat as patients without MASH.
		Computer Number: 95 2672. Isotropic Abdominal MRI Restoration from Anisotropic Data using Generative Multi-Plane Deep Learning View Presentation Video R. Benisty, Y. Shteynman, M. Porat, A. Illivitzki, M. Freiman Technion - Israel Institute of Technology, Haifa, Israel Impact: Our model introduces simultaneous multi-plane self-supervised learning method to restore isotropic MRI from anisotropic data. The isotropic volumes improve volumetric analysis and 3D reconstructions, showing strong potential to enhance clinical diagnostics. It adapts to various contrast types and acquisition methods.

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