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Abstract #2396

PDFF predicts NASH in obese patients without known liver disease

Nikolaos Panagiotopoulos1,2, Danielle Batakis3, Tanya Wolfson4, Rashmi Agni5, Xiaofei Zhang5, Thekla Helene Oechtering1,2, Daiki Tamada1, David T. Harris1, Claude B. Sirlin3, and Scott B. Reeder1,6,7,8,9
1Department of Radiology, University of Wisconsin - Madison, Madison, WI, United States, 2Department of Radiology and Nuclear Medicine, Universität zu Lübeck, Lübeck, Germany, 3Department of Radiology, University of California San Diego, San Diego, CA, United States, 4Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California San Diego, La Jolla, CA, United States, 5Department of Pathology and Laboratory Medicine, University of Wisconsin - Madison, Madison, WI, United States, 6Department of Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 7Department of Medicine, University of Wisconsin - Madison, Madison, WI, United States, 8Department of Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States, 9Department of Emergency Medicine, University of Wisconsin - Madison, Madison, WI, United States

Synopsis

Proton density fat fraction (PDFF) is not recognized as a discriminator between nonalcoholic fatty liver (NAFL) and nonalcoholic steatohepatitis (NASH). However, considering the two-hit theory on the pathogenesis of NASH, we hypothesize that in high-risk individuals without known liver disease, MRI-PDFF may predict the presence of NASH. There is a paucity of data to support this hypothesis. Therefore, we examined the predictive value of MRI-PDFF in 29 obese adults without suspected liver disease. We observed excellent diagnostic performance of MRI-PDFF for detecting NASH (AUC=1). If confirmed during this ongoing study, this would constitute a paradigm change in diagnosis of NASH.

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