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Abstract #4022

Modification of eGFR formulas using estimates of fat-infiltration from MRI: a preliminary study in cirrhosis patients

Christopher C. Conlin 1 , Jeff L. Zhang 1 , Glen Morrell 1,2 , Kristi Carlston 1 , Tom Greene 3 , Kathryn A. Morton 2 , and Vivian S. Lee 1,2

1 Utah Center for Advanced Imaging Research, University of Utah, Salt Lake City, Utah, United States, 2 Department of Radiology, University of Utah School of Medicine, Salt Lake City, Utah, United States, 3 Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, United States

Renal function is a critical factor in determining the priority of liver-transplant candidates and is typically determined from serum creatinine or cystatin C measurements. However, the formulas used to calculate GFR from these measurements may overestimate renal function in patients with low muscle-mass, such as those with cirrhosis, thereby lowering their transplant priority. In this study, we show that we can calibrate the GFR formulas to account for reduced muscle-mass in cirrhosis patients by measuring paraspinal fat-infiltration from MR images acquired as part of routine liver examination. This calibration leads to more accurate estimates of renal function.

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