Validation of automated computed tomography segmentation software to assess body composition among cancer patients
DAFS Express enables rapid, accurate body composition analysis by automating segmentation, reducing expert time and computational burden. This rapid analysis of body composition is a prerequisite to large-scale research that could potentially enable use in the clinical setting. Automated CT segmentations may be utilized to assess markers of sarcopenia, muscle loss, and adiposity and predict clinical outcomes.
Authors
- Mushfiqus Salehin (ORCID: https://orcid.org/0009-0009-2453-2005)
- Nguyễn Quang Long (ORCID: https://orcid.org/0000-0002-7383-1361)
- Erin Weltzien
- Karteek Popuri (ORCID: https://orcid.org/0000-0002-1729-3255)
- Elizabeth M. Cespedes Feliciano (ORCID: https://orcid.org/0000-0003-1192-4017)
- Vincent Chow
- Bette J. Caan (ORCID: https://orcid.org/0000-0002-5803-310X)
- Hyunwoo Lee (ORCID: https://orcid.org/0000-0002-8598-9123)
- Jia Li (ORCID: https://orcid.org/0000-0002-3108-8645)
- Da Ma (ORCID: https://orcid.org/0000-0003-3770-1989)
- Mirza Faisal Beg
- Varun Akella
Institutions
- Memorial University of Newfoundland (CA)
- Kaiser Permanente (US)
- University of British Columbia (CA)
- Simon Fraser University (CA)
- Wake Forest University (US)
Publication Details
- Journal
- Clinical Nutrition ESPEN
- Published
- 2025-08-25
- DOI
- https://doi.org/10.1016/j.clnesp.2025.08.024
- Citations
- 1
- Primary Topic
- Body Composition Measurement Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.16