Associations Between Deep Learning–Derived Fat, Muscle, and Bone Measures From Abdominal Computed Tomography Scans and Fall Risk in Persons Aged 20 Years or Older
Muscle density measures from abdominal CT scans may be useful for understanding physiologic changes in the abdomen that place persons at an increased risk of falls as early as middle age.
Authors
- Hillary W. Garner (ORCID: https://orcid.org/0000-0002-6699-9692)
- Walter A. Rocca (ORCID: https://orcid.org/0000-0002-1832-7664)
- Andrew D. Rule (ORCID: https://orcid.org/0000-0003-0338-7784)
- Brandon R. Grossardt (ORCID: https://orcid.org/0000-0001-7112-9061)
- Alanna M. Chamberlain (ORCID: https://orcid.org/0000-0003-1888-9584)
- Jennifer L. St. Sauver (ORCID: https://orcid.org/0000-0002-9789-8544)
- Perry Joseph Pickhardt (ORCID: https://orcid.org/0000-0002-5534-8202)
- Alexander D. Weston (ORCID: https://orcid.org/0000-0002-0080-9702)
- Blake Thackeray
- Owen R Keegan
Institutions
- University of Minnesota (US)
- Mayo Clinic (US)
- University of Wisconsin–Madison (US)
- Jacksonville College (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
- Macalester College (US)
Publication Details
- Journal
- Mayo Clinic Proceedings Digital Health
- Published
- 2025-10-25
- DOI
- https://doi.org/10.1016/j.mcpdig.2025.100299
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health
- National Institute on Aging