Beyond BMI: Deep Learning Segmentation-Driven CT Reveals Body Composition Changes after Metabolic and Bariatric Surgery.

Emily P Rabinovich¹, Jayasuriya Senthilvelan², Claire K Foley¹, Andrew Gillikin¹, Chengli Shen¹, Arun Krishnaraj², Thomas H Shin¹

¹From the Departments of Surgery (Rabinovich, Foley, Gillikin, Shen, Shin), University of Virginia Health System, Charlottesville, VA.

²Radiology and Medical Imaging (Senthilvelan, Krishnaraj), University of Virginia Health System, Charlottesville, VA.

PubMed DOI

Abstract

BACKGROUND: BMI is the primary metric used to evaluate outcomes of metabolic and bariatric surgery (MBS), but it does not distinguish tissue compartments or quantify visceral adiposity (VAT), a key determinant of cardiometabolic risk. We evaluated the relationship between BMI and VAT and characterized compartment-specific remodeling after MBS using artificial intelligence-enabled CT segmentation.…

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