Automated CT-based visceral fat density predicts mortality regardless of visceral fat area
Assessing visceral fat density using fully automated AI-based CT tools offers a significant advancement in predicting health risk, leading to targeted interventions and improved management strategies. This study is novel due to its large patient population, offering evidence that prognostication with VAT density is broadly generalizable across varying patient populations.
Authors
- G. M. Blake
- John W. Garrett (ORCID: https://orcid.org/0000-0002-8152-736X)
- Jevin Lortie (ORCID: https://orcid.org/0000-0001-9647-2579)
- Adam J. Kuchnia (ORCID: https://orcid.org/0000-0002-3418-0965)
- Perry Joseph Pickhardt (ORCID: https://orcid.org/0000-0002-5534-8202)
- Matthew H Lee
Institutions
- St Thomas' Hospital (GB)
- University of Wisconsin–Madison (US)
- King's College London (GB)
Publication Details
- Journal
- British Journal of Radiology
- Published
- 2026-01-12
- DOI
- https://doi.org/10.1093/bjr/tqag001
- Primary Topic
- Cardiovascular Disease and Adiposity
- Type
- article
- Field-Weighted Citation Impact
- 0.00