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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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