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 Bashir^1,6,7

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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