Association Between Computed Tomography–Based AI-Derived Body Composition and Survival in Patients With Pancreatic Ductal Adenocarcinoma
Body composition parameters, derived from CT scans at the time of PDAC diagnosis, particularly low skeletal muscle density, sarcopenic obesity, and low adipose tissue, are independently associated with OS in patients with PDAC. Evaluating body composition at diagnosis could enhance clinical decision-making and enable more personalized treatment strategies.
Authors
- Aleksander Bogdański (ORCID: https://orcid.org/0000-0001-8632-9277)
- M. van Leerdam
- Yan Bi (ORCID: https://orcid.org/0000-0001-7427-6219)
- Brandon R. Grossardt (ORCID: https://orcid.org/0000-0001-7112-9061)
- Hani M. Babiker (ORCID: https://orcid.org/0000-0002-9368-6296)
- Jeanin E. van Hooft (ORCID: https://orcid.org/0000-0002-4424-0079)
- Michael Wallace
- Alexander D. Weston (ORCID: https://orcid.org/0000-0002-0080-9702)
- J. Sven D. Mieog
- Derk C.F. Klatte
- Koen J.H. Wijsman
Institutions
- Leiden University Medical Center (NL)
- Jacksonville College (US)
- Oncode Institute (NL)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- The American Journal of Gastroenterology
- Published
- 2025-12-22
- DOI
- https://doi.org/10.14309/ajg.0000000000003896
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 0.00