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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