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Abstract #1023

Multi-Site, Multi-Vendor, and Multi-Platform Reproducibility and Accuracy of Quantitative Proton-Density Fat Fraction (PDFF) at 1.5 and 3 Tesla with a Standardized Spherical Phantom: Preliminary Results from a Study by the RSNA QIBA PDFF Committee

Houchun Harry Hu1, Takeshi Yokoo2, Diego Hernando3,4, Mustafa R Bashir5, Michael S Middleton6, Suraj D Serai7, Daria Malyarenko8, Thomas Chenevert8, Mark Smith1, Walter Henderson6, Gavin Hamilton6, Yunhong Shu9, Claude B Sirlin6, Jean A Tkach10, Andrew T Trout10, Jean H Brittain4,11, Scott B Reeder3,4, and the RSNA QIBA PDFF Committee12

1Radiology, Nationwide Children's Hospital, Columbus, OH, United States, 2Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 3Medical Physics, Radiology, and Biomedical Engineering, University of Wisconsin Madison, Madison, WI, United States, 4Calimetrix, LLC, Madison, WI, United States, 5Radiology, Division of Gastroenterology, and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC, United States, 6Liver Imaging Group, Radiology, UC San Diego, San Diego, CA, United States, 7Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 8Radiology, University of Michigan, Ann Arbor, MI, United States, 9Radiology, Mayo Clinic, Rochester, MN, United States, 10Radiology, Cinncinati Children's Hospital Medical Center, Cinncinati, OH, United States, 11Radiology, University of Wisconsin Madison, Madison, WI, United States, 12RSNA, Oak Brook, IL, United States

Proton Density Fat Fraction (PDFF) is a widely-accepted quantitative MRI biomarker of hepatic steatosis. Formed in 2015, the PDFF Committee of the RSNA QIBA initiative promotes standardized usage of PDFF for clinical care and research. In this work, the committee describes preliminary results from a multi-center, multi-vendor, multi-platform, and multi-protocol study to characterize the accuracy and reproducibility of PDFF as measured by commercially-available 2D and 3D spoiled-gradient-recalled-echo sequences in a standardized phantom with known PDFF reference targets ranging from 0-100%. Results show that confounder-corrected PDFF reconstructed from multi-fat-spectral peak modeling is an accurate and precise quantitative measurement of PDFF, with minimal bias and strong linearity.

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