Abstract #0364

Linearity, Bias, and Precision of Proton-Density Fat Fraction for Liver Fat Quantification: A Meta-Analysis

Ali Pirasteh¹, Mustafa Bashir², Scott B Reeder³, Claude B Sirlin⁴, An Tang⁵, Guido M Kukuk⁶, Jens-Peter Kuhn⁷, Holger Hetterich⁸, Ji Soo Song⁹, and Takeshi Yokoo¹

¹Radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States, ²Radiology, Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC, United States, ³Radiology, Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin, Madison, WI, United States, ⁴Liver Imaging Group, Radiology, University of California San Diego, San Diego, CA, United States, ⁵Radiology, University of Montréal, Montréal, QC, Canada, ⁶Radiology, University of Bonn, Bonn, Germany, ⁷University Greifswald, Greifswald, Germany, ⁸Ludwig-Maximilian University Hospital, Munich, Germany, ⁹Chonbuk National University Medical School and Hospital, Jeonju, Korea, Republic of

Proton-density fat fraction (PDFF) is a quantitative imaging biomarker (QIB) of hepatic triglyceride concentration and steatosis. Liver PDFF can be measured noninvasively using magnetic resonance imaging (MRI) or spectroscopy (MRS). Various MRI-based PDFF methods have been validated in single-center studies at 1.5T or 3T field strength using a specific reconstruction algorithm on a single vendor platform. However, its technical performance as a QIB is unknown in a multi-center, multi-vendor setting. In this meta-analysis of previously published data from multiple studies, we demonstrated excellent linearity, negligible bias, and high repeatability/reproducibility of MRI-PDFF across different field strengths, vendors, and reconstruction algorithms.

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