Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Advanced Quantitative Liver MRI: Radiomics, Elastography, and AI

Advanced Quantitative Liver MRI: Radiomics, Elastography, and AI

Digital Poster

Body

Monday, 11 May 2026

Digital Posters Row B

08:20 - 09:15

Session Number: 361-01

No CME/CE Credit

Similar Sessions

The session includes presentations summarizing the latest developments and advances in liver MRI.

		361-01-001. Temporal trends in utilization of abdominal magnetic resonance imaging in patients with liver diseases in the US Pareen Vora, Shweta Shaw, Sebastiano Forgia, Oisin Butler Bayer AG, Berlin, Germany Impact: Results reveal rising use of abdominal MRI in patients with liver diseases as well as disparities by demographics. These findings emphasize the importance of further understanding the reasons for these differences to guide future strategies for access and policy improvements.
		361-01-002. Assessment of Hepatic Mechanical Pulsatility Using Cardiac-Resolved MR Elastography Jakob Schattenfroh, Carsten Warmuth, Yanglei Wu, Josef Pfeuffer, Tom Meyer, Jing Guo, Rolf Reiter, Ingolf Sack Charité – Universitätsmedizin Berlin, Berlin, Germany Impact: Cardiac-resolved MR elastography with an interleaved spiral readout enables dynamic mapping of hepatic stiffness synchronized to the cardiac cycle, providing a motion-robust approach for quantifying vascular compliance and perfusion-driven stiffness modulation in the liver.
		361-01-003. A tomoelastography-based radiomics model to predict macrotrabecular-massive hepatocellular carcinoma yuting shi, shichao long, juan chen, linhui zhong, wenguang liu, mengsi li, yigang pei, wenzheng li Xiangya Hospital of Central South University, Changsha, China Impact: This study enables preoperative non-invasive identification of aggressive MTM-HCC using tomoelastography-based radiomics, potentially guiding personalized treatment strategies and improving patient prognosis through better prognostic stratification.
		361-01-004. Respiratory-Resolved 3D Volumetric MRI and Elastography towards Non-Invasive Assessment of Portal Pressure Noah Jaitner, Steffen Häseli, Jakob Schattenfroh, Rolf Reiter, Jing Guo, Tobias Schaeffter, Christoph Kolbitsch, Ingolf Sack Charité – Universitätsmedizin Berlin, Berlin, Germany Impact: Volume and shear modulus changes in the liver and spleen were quantified across respiratory and prandial states using 3D MRI and multifrequency MRE, improving understanding of blood-volume redistribution and portal-pressure effects on organ biomechanical properties.
		361-01-005. Imaging Biomarkers of Cirrhosis: Functional Liver Imaging Score and Liver Surface Nodularity Correlations with MELD-Na Muhammed Enes Tasci, Yavuz Bahadir Taktak, Burak Gultekin, Halil Ertugrul Aktas, Andrea Bejar, Sukru Mehmet Erturk, Alpay Medetalibeyoglu, Amir Borhani, Gorkem Durak, Ulas Bagci Northwestern University Feinberg School of Medicine, Chicago, United States of America Impact: The Functional Liver Imaging Score (FLIS) and Liver Surface Nodularity (LSN) are non-invasive MRI biomarkers used to evaluate cirrhosis severity. The MELD-Na score remains the standard for transplant assessment. Combining these can improve the non-invasive evaluation of cirrhosis severity.
		361-01-006. MR Elastography-Based Tumor Stiffness Heterogeneity and Peritumoral Shear Strain for Assessing Microvascular Invasion in HCC Jinhui Zhou, Emi Hojo, Ziying Yin, Ying Zeng, Haimei Chen, Yuanqiang Xiao, Jiahui Li, Yuan Le, Jeremy Heilman, Kay Pepin, Matthew Murphy, Kevin Glaser, Jun Chen, Meng Yin, Richard Ehman, Jin Wang Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China Impact: MRE-based tumor stiffness heterogeneity and shear strain mapping are promising techniques for noninvasively predicting microvascular invasion in patients with HCC. These parameters have potential as biomarkers for tumor aggressiveness and poor prognosis in HCC patients.
		361-01-007. MRI-based Models Using Habitat Imaging for Predicting Distinct Vascular Patterns in Hepatocellular Carcinoma Enjie Zhou, Chengyu Ding, Tao Zhang Nantong University, Nantong, China Impact: A noninvasive quantitative measure of intratumoral and peritumoral heterogeneity that predicts MVI and VETC can be valuable for formulating individualized treatment strategies.
		361-01-008. MR elastography-based quantitative parameters for assessing CD8+ T cell infiltration in HCC Ying Zeng, Jinhui Zhou, Ziying Yin, Yuanqiang Xiao, Haimei Chen, Jiahui Li, Emi Hojo, Yuan Le, Kay Pepin, Jeremy Heilman, Matthew Murphy, Jun Chen, Kevin Glaser, Meng Yin, Richard Ehman, Jin Wang Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China Impact: Magnetic resonance elastography (MRE)-based tumor stiffness, stiffness heterogeneity, and peritumoral shear strain significantly correlate with intratumoral and invasive marginal CD8+ infiltration in HCC, highlighting their potential as noninvasive imaging biomarkers for risk stratification and immunotherapy guidance.
		361-01-009. Feasibility of Deep-Learning Based Synthesis of Gadoxetic Acid–Enhanced Hepatobiliary Phase Liver MRI Jiaying Zhao, Hero Hussain, Jacob Richardson, Vikas Gulani, Yun Jiang University of Michigan, Ann Arbor, United States of America Impact: The deep learning-based synthesis approach enables synthesis of HBP images without Eovist contrast, potentially allowing faster and safer liver imaging for patients, especially those with liver metastasis who require frequent follow-up scans.
		361-01-010. Performance comparison of gadoxetic and extracellular MRI in diagnosing subcentimeter recurrent HCC: a modified algorithm Yuyao Xiao Zhongshan Hospital, Fudan University, Shanghai, China Impact: Our findings demonstrated that the EOB-MRI–based modified algorithm markedly improved sensitivity over typical vascular patterns and ECA-MRI, while maintaining high specificity, supporting a more sensitive diagnostic strategy for subcentimeter recurrent HCC and ultimately improving patient management and prognosis.
		361-01-011. Habitat Radiomics of Multi-parametric MRI Predicts Treatment Response and Survival in Colorectal Liver Metastases Ailing Wang, HUAN ZHANG, Yang Song, Chenglong Wang, Tong Tong, Guang Yang Shanghai Key Laboratory of Magnetic Resonance, Shanghai, China Impact: Habitat-guided radiomics provides a robust, non-invasive tool to predict treatment response and survival in liver metastases, enabling early identification of non-responders and supporting personalized oncology decision-making.
		361-01-012. The value of MR elastography for predicting VETC in hepatocellular carcinoma within 5 cm Handan Xiao, yuting shi, linhui zhong, Lan Zhou, Aerzuguli Abudulimu, wenzheng li, mengsi li Xiangya Hospital, Central South University, Changsha, China Impact: MRE is a potential technique for assessing VETC status in HCC within 5cm, which may assist in the optimization of personalized treatment strategies for patients with HCC within 5 cm, thus leading to a reduction in early recurrence rates.