Beyond BMI: Deep Learning Segmentation-Driven CT Reveals Body Composition Changes After Metabolic and Bariatric Surgery
BMI incompletely reflects postoperative tissue remodeling, particularly sustained VAT reduction, after MBS. AI-enabled CT volumetric analysis demonstrates proof-of-concept for compartment-specific assessment beyond BMI. Prospective validation is required to determine whether VAT-derived metrics more accurately predict cardiometabolic outcomes.
Authors
- Jayasuriya Senthilvelan
- Chengli Shen
- Andrew Gillikin
- Emily P. Rabinovich (ORCID: https://orcid.org/0000-0003-2230-3240)
- Thomas H. Shin
- Claire K Foley
- Arun Krishnaraj
Institutions
- University of Virginia Health System (US)
Publication Details
- Journal
- Journal of the American College of Surgeons
- Published
- 2026-03-03
- DOI
- https://doi.org/10.1097/xcs.0000000000001902
- Primary Topic
- Cardiovascular Function and Risk Factors
- Type
- article
- Field-Weighted Citation Impact
- 0.00