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Abstract #5093

Multiparametric MRI as a Diagnostic Tool for Metabolic Dysfunction-Associated Steatotic Liver Disease

Nienke P.M. Wassenaar1,2, Koen C. van Son3,4,5, Marian A. Troelstra1, Stan Driessen3,4, Anne Linde Mak3,4, Elizabeth Shumbayawonda6, Max Nieuwdorp3,4, Joanne Verheij4,7, Aart J. Nederveen1, Adriaan G. Holleboom3,4, and Oliver J. Gurney-Champion1,2
1Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands, 2Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, Netherlands, 3Vascular Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands, 4Amsterdam Gastroenterology Endocrinology Metabolism (AGEM) Institute, Amsterdam, Netherlands, 5Gastroenterology and Hepatology, Radboud University Medical Center, Nijmegen, Netherlands, 6Perspectum Ltd., Oxford, United Kingdom, 7Pathology, Amsterdam University Medical Centers, Amsterdam, Netherlands

Synopsis

Keywords: Liver, Quantitative Imaging, Biomarkers, Diagnosis, Elastography, IVIM, Liver

Motivation: The reference standard for diagnosing Metabolic-Dysfunction-Associated Steatotic Liver Disease (MASLD) is invasive liver biopsy. There is a need for non-invasive diagnostic methods to assess MASLD.

Goal(s): The goal was to determine if multiparametric MRI, including cT1-mapping, MR elastography, intravoxel incoherent motion diffusion-weighted MRI and proton-density fat fraction, can effectively diagnose metabolic-dysfunction-associated steatohepatitis (MASH).

Approach: The diagnostic potential of multiparametric MRI parameters was assessed in 75 MASLD patients from the ongoing Amsterdam MASLD cohort study ANCHOR.

Results: Results demonstrated that multiparametric MRI can play a role in diagnosing MASLD stages, providing an alternative non-invasive diagnostic method to liver biopsies.

Impact: This research enables non-invasive diagnosis of Metabolic-Dysfunction-Associated Steatotic Liver Disease by combining cT1, MRE stiffness, and blood marker AST. This provides an alternative to liver biopsy, allowing assessment of the entire liver, which could significantly impact clinical practice and trials.

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Keywords