Quantification of hepatic steatosis on post-contrast computed tomography scans using artificial intelligence tools.

Journal: Abdominal radiology (New York)
Published Date: Jul 26, 2025

Abstract

PURPOSE: Early detection of steatotic liver disease (SLD) is critically important. In clinical practice, hepatic steatosis is frequently diagnosed using computed tomography (CT) performed for unrelated clinical indications. An equation for estimating magnetic resonance proton density fat fraction (MR-PDFF) using liver attenuation on non-contrast CT exists, but no equivalent equation exists for post-contrast CT. We sought to (1) determine whether an automated workflow can accurately measure liver attenuation, (2) validate previously identified optimal thresholds for liver or liver-spleen attenuation in post-contrast studies, and (3) develop a method for estimating MR-PDFF (FF) on post-contrast CT.

Authors

  • Brian A Derstine
    Michigan Medicine, Ann Arbor, USA. bderstin@med.umich.edu.
  • Sven A Holcombe
    Research Scientist in International Center for Automotive Medicine (ICAM), University of Michigan, USA.
  • Vincent L Chen
    Division of Gastroenterology and HepatologyUniversity of MichiganAnn ArborMichiganUSA.
  • Manjunath P Pai
    Michigan Medicine, Ann Arbor, USA.
  • June A Sullivan
    Michigan Medicine, Ann Arbor, USA.
  • Stewart C Wang
    Department of Surgery, University of Michigan Medical School, Ann Arbor, Michigan, MI , USA.
  • Grace L Su
    Michigan Medicine, Department of Internal Medicine, Division of Gastroenterology and Hepatology, Ann Arbor, Michigan, United States of America.

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