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Abstract #1940

Assessing variability in MRI-based quantitative measurements of body fat in patients with NASH

Erin Shropshire1, Manuel Schneider2, Bohui Zhang3, Alaattin Erkanli4, Dominik Nickel5, and Mustafa Bashir1,6,7

1Department of Radiology, Duke University Medical Center, Durham, NC, United States, 2Pattern Recognition Lab, Department of Computer Science, Friedrich‐Alexander‐Universität Erlangen‐Nürnberg, Erlangen, Germany, 3Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, United States, 4Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, United States, 5MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 6Center for Advanced Magnetic Resonance Imaging, Duke University Medical Center, Durham, NC, United States, 7Department of Medicine, Gastroenterology, Duke University Medical Center, Durham, NC, United States

NASH is a common cause of chronic liver disease, and is closely associated with other metabolic derangements; quantifying types of fat (saturated, mono-unsaturated, poly-unsaturated) in the body may provide insights into metabolism. We assessed a chemical-shift encoded MRI technique for quantifying types of fat in various depots. Inter-reader repeatability in the subcutaneous tissues and retroperitoneum was high (mean 0.86-0.90), and similar to PDFF (mean 0.89). Correlation between fat types was moderate to strong between non-liver fat depots, and weaker and inconsistent between liver and non-liver fat depots.

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