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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