Abstract #2396

PDFF predicts NASH in obese patients without known liver disease

Nikolaos Panagiotopoulos^1,2, Danielle Batakis³, Tanya Wolfson⁴, Rashmi Agni⁵, Xiaofei Zhang⁵, Thekla Helene Oechtering^1,2, Daiki Tamada¹, David T. Harris¹, Claude B. Sirlin³, and Scott B. Reeder^1,6,7,8,9

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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