Data-driven abdominal phenotypes of type 2 diabetes in lean, overweight, and obese cohorts from computed tomography
We found similar abdominal signatures of type 2 diabetes across the separate lean, overweight, and obese groups, which suggests that the abdominal drivers of type 2 diabetes may be consistent across weight classes. Although our model had a modest AUC, the explainable components allowed for a clear interpretation of feature importance. In addition, in both lean and obese subgroups, the most important feature for identifying type 2 diabetes was fatty skeletal muscle.
Authors
- John Virostko (ORCID: https://orcid.org/0000-0003-3413-8801)
- Chenyu Gao (ORCID: https://orcid.org/0000-0003-2098-3035)
- Chloe Cho (ORCID: https://orcid.org/0000-0001-5114-001X)
- Adam M. Saunders (ORCID: https://orcid.org/0000-0003-2912-9759)
- Alvin C. Powers (ORCID: https://orcid.org/0000-0003-1941-5786)
- Shunxing Bao (ORCID: https://orcid.org/0000-0001-6376-4292)
- Lucas W. Remedios
- Michael E. Kim (ORCID: https://orcid.org/0009-0006-3562-2688)
- Bennett A. Landman (ORCID: https://orcid.org/0000-0001-5733-2127)
- Aravind R. Krishnan (ORCID: https://orcid.org/0009-0000-1829-8245)
- Gaurav Rudravaram (ORCID: https://orcid.org/0009-0001-9087-462X)
- Dong Su (ORCID: https://orcid.org/0000-0002-1921-6683)
- Trent Schwartz (ORCID: https://orcid.org/0009-0006-1332-5762)
Institutions
- Vanderbilt University (US)
- The University of Texas at Austin (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2025-12-18
- DOI
- https://doi.org/10.1117/1.jmi.12.6.064006
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- Vanderbilt University
- Nvidia
- Vanderbilt Institute for Clinical and Translational Research
- Georgia Clinical and Translational Science Alliance
- National Institutes of Health
- Vanderbilt Diabetes Research and Training Center, Vanderbilt University Medical Center
- National Institute on Aging
- National Cancer Institute
- National Institute of General Medical Sciences
- National Center for Advancing Translational Sciences
- Division of Diabetes, Endocrinology, and Metabolic Diseases