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Abstract #0125

Hepatic MRI-PDFF is positively correlated with R2* across a range of fat spectral models

Cheng William Hong1, Adrija Mamidipalli1, Jonathan C Hooker1, Gavin Hamilton1, Tanya Wolfson2, Soudabeh Fazeli Dehkordy1, Michael S Middleton1, Scott B Reeder3, Rohit Loomba4, and Claude B Sirlin1

1Liver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, CA, United States, 2Computational and Applied Statistics Laboratory, University of California, San Diego, San Diego, CA, United States, 3Departments of Radiology, Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin, Madison, Madison, WI, United States, 4NAFLD Research Center, Division of Gastroenterology, Department of Medicine, University of California, San Diego, San Diego, CA, United States

Confounder-corrected estimation of proton-density fat fraction (PDFF) concurrently estimates R2* (1/T2*), a parameter modeled to account for R2* signal decay. Although they are derived from the same mathematical model, PDFF and R2* are generally considered independent parameters. Emerging evidence, however, suggests that PDFF and R2* are positively correlated. This study confirms that PDFF and R2* are positively correlated, and this association is not a spurious result of the applied fat multipeak spectral model.

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