Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026

Digital Poster

MR Biomarkers of Hepatic Steatosis, Fibrosis, and Liver Disease

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MR Biomarkers of Hepatic Steatosis, Fibrosis, and Liver Disease
Digital Poster
Body
Wednesday, 13 May 2026
Digital Posters Row I
13:40 - 14:35
Session Number: 568-03
No CME/CE Credit
The session includes presentations summarizing the latest developments and advances in liver MRI.
Skill Level: Intermediate

  Figure 568-03-001.  Stratifying non-alcoholic fatty liver disease using diffusion-weighted imaging–based habitat imaging: a rabbit model study
Jiale Hang, Xianfu Luo, Furong Wan, Zhaorong Wang, Jie Shi
Northern Jiangsu People’s Hospital, Yangzhou, China
Impact: Diffusion-based habitat imaging provides a novel multiparametric framework for visualizing hepatic microstructural heterogeneity, enabling noninvasive and accurate stratification of NAFLD and early detection of NASH.

  Figure 568-03-002.  Assessment of Liver Metabolic Alterations in Metabolic Dysfunction-Associated Steatohepatitis Using Hyperpolarized 13C-MRSI
Abdelazim Elsayed Elhelaly, Fuminori Hyodo, Hirohiko Imai, Yoshifumi Noda, Hiroki Kato, Masayuki Matsuo
Gifu University, Gifu, Japan
Impact: This study underscores the potential of hyperpolarized 13C-MRSI as a sensitive, non-invasive method for investigating progression of metabolic dysfunction-associated steatohepatitis. It may improve its clinical management by facilitating early diagnosis and monitoring, potentially obviating the need for invasive liver biopsy.
  Figure 568-03-003.  GRASP DCE-MRI uncovers early portal hyperperfusion and suppressed hepatocyte uptake after liver transplantation
zhengzheng tao, Yi Li, Chen Zhang, Jinxia ZHU, qian ji
Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer/Tianjin’s Clinical Research Center for Cancer/Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China
Impact: GRASP MRI spots graft flow-uplink mismatch early, guiding safer taper of immunosuppression and timely rescue protocols.
  Figure 568-03-004.  Real world utility of B1corrected T1 mapping MRI imaging in detecting Liver fibrosis - Comparison with MR and US Elastography
Kaustav Bera, Zhiqing Yin, Sohrab Afshari Mirak, Rasim Boyacioglu, Leonardo BIttencourt, Yong Chen, Sree Harsha Tirumani
University Hospitals Cleveland Medical Center, Cleveland, Ohio, United States of America
Impact: The study demonstrates the real world utility of B1-corrected T1 mapping as a surrogate for MR elastography based Liver stiffness in assessing liver fibrosis. We also show that it is more accurate than other markers such as Fibroscan, ELF score.
  Figure 568-03-005.  Wideband MR Elastography for Assessing Hepatic Stiffness and Fluidity in Chronic Liver Disease
Jakob Schattenfroh, Steffen Häseli, Tobias Püngel, Yanglei Wu, Tom Meyer, Jing Guo, Ingolf Sack, Rolf Reiter
Charité – Universitätsmedizin Berlin, Berlin, Germany
Impact: Wideband MRE quantifies the frequency dispersion of mechanical tissue properties across a wide dynamic range from 5 to 80 Hz to deduce novel biomarkers of inflammation and fibrosis in chronic liver disease.
  Figure 568-03-006.  Feasibility of free-breathing liver T1 and T2 mapping using 3D radial phase-cycled balanced steady-state free-precession
Matteo Tagliabue, Joseph Woods, Berk Can Acikgoz, Nils Plähn, Eva Peper, Verena Obmann, Adrian Huber, Naik Vietti-Violi, Jessica Bastiaansen
Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
Impact: This study provieds an improved quantitative liver mapping by overcoming fat-related confounders of conventional slice-based methods. A free-breathing 3D radial phase-cycled bSSFP with water excitation allows comprehensive and unbiased characterization of liver tissue.
  Figure 568-03-007.  Clinical Evaluation of a Rapid Deep Learning Reconstructed Free-Breathing 2D CSE Imaging Sequence for Liver Quantification
Eugene Milshteyn, Nathan Roberts, Arnaud Guidon, Rory Cochran, Mukesh Harisinghani, Amirkasra Mojtahed
GE HealthCare, San Ramon, United States of America
Impact: Free breathing deep learning reconstructed 2DFAM CSE-MRI shows promise as a routine tool in clinical liver fat and iron quantitation.
  Figure 568-03-008.  IVIM Parameters Combined with GPR Serological Model: A Novel Strategy to Enhance Non-Invasive Diagnosis of Early Liver Fibros
Le sheng Huang, Tian zhu Liu, Jun Chen, Jiahui Tang, Wanchun Zhang, Kai lian Yang
Impact: The combined IVIM-GPR approach provides a reliable, non-invasive biomarker for early liver fibrosis detection. This strategy enhances diagnostic accuracy and supports personalized management for chronic liver disease patients.
  Figure 568-03-009.  Relaxivities and Liver Enhancement of Gadopiclenol versus Gadobenate: A Randomized Cross-Over Study
Julius Heidenreich, Daiki Tamada, James Rice, Felix Schön, Garrett Fullerton, Ali Pirasteh, Scott Reeder
University Hospital Würzburg, Würzburg, Germany
Impact: Gadopiclenol at 0.05 mmol/kg yields comparable enhancement in liver, lesion and muscle to 0.1 mmol/kg gadobenate, but increased enhancement at 0.1 mmol/kg. Although lesion conspicuity was relatively unchanged, SNR gain may improve image quality and diagnostic confidence in liver MRI.
  Figure 568-03-010.  Multicenter repeatability of diffusion-weighted MRI in liver tumors on a hybrid 1.5 T MRI-linear accelerator
Jonas Habrich, Vivian W. J. van Pelt, Damien McHugh, Andreas Wetscherek, Tim Schakel, Marijn Kruiskamp, Jihong Wang, Marlies E Nowee, Ulke van der Heide, Eric S Paulson, Daniela Thorwarth, Petra van Houdt
Section for Biomedical Physics, Tübingen, Germany
Impact: Motion suppression through an abdominal compression belt improves diffusion-weighted MRI repeatability for patients with liver cancer imaged on a hybrid MR-linear accelerator. However, repeatability remains poor, stressing the need for better motion compensation or correction techniques.
  Figure 568-03-011.  Deep-learning Synthesized Hepatobiliary Phase Image Streamline Workflow of Gd-EOB-DTPA Liver MRI: A Prospective Study
Kaixuan Zhao, Yan Liu, Xin Chen, Chenyi Xie, Yajing Zhang, Yongzhou Xu, Yiming Wang, Thoralf Niendorf, Guangyi Wang, Zaiyi Liu
The Third Affiliated Hospital Southern Medical University, Guangzhou, China
Impact: This single-center prospective study demonstrated that deep-learning synthesized hepatobiliary phase (HBP) has comparable image quality, similar lesion conspicuity, and non-inferiority lesion detection performance as acquired HBP, suggesting that deep-learning synthesized HBP might greatly streamline the clinical workflow.
  Figure 568-03-012.  Investigating hemodynamic changes in the liver during a meal challenge using Dual-VENC 4D-flow MRI
Patrick Winter, Andrew Huang, Jens-Peter Kühn, Ralf-Thorsten Hoffmann, Susanne Schnell, Marie-Luise Kromrey
University of Greifswald, Greifswald, Germany
Impact: This study demonstrates the feasibility of accelerated dual-VENC 4D-flow MRI for hepatic hemodynamic assessment, offering researchers and clinicians a faster, more precise tool to quantify portal venous flow dynamics and meal-induced physiological changes, potentially improving evaluation of liver disease progression.
  Figure 568-03-013.  Value of IVIM and Iron Quantification in Quantitative Evaluation of Liver Cirrhosis Background Microenvironment Heterogeneity
Jiaying Li, Zhefeng Wang, Qingqing Wen, Nathan Roberts, Zhichao Sun
The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
Impact: The combined model of R2*_Lesion, LIC_Lesion, PDFF_Peri and f_Lesion parameters enables noninvasive, comprehensive liver microenvironment assessment, supporting early cirrhosis risk stratification and personalized management to improve clinical outcomes.

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