Exploration of Fully‐Automated Body Composition Analysis Using Routine CT‐Staging of Lung Cancer Patients for Survival Prognosis
CT-based volumetric BCA provides prognostic biomarkers in lung cancer with varying significance by sex, disease stage and centre. SI was the strongest prognostic marker, outperforming conventional L3-based measurements, while fat-related markers showed varying associations. Our multivariate model suggests that BCA markers, particularly SI, may enhance risk stratification in lung cancer, pending centre-specific and sex-specific validation. Integration of these markers into clinical workflows could enable personalized care and targeted interventions for high-risk patients.
Authors
- Walter Heindel (ORCID: https://orcid.org/0000-0002-6562-280X)
- Marcel Opitz (ORCID: https://orcid.org/0000-0001-7455-8590)
- René Hosch (ORCID: https://orcid.org/0000-0003-1760-2342)
- Annalen Bleckmann (ORCID: https://orcid.org/0000-0001-5809-9507)
- Johannes Haubold (ORCID: https://orcid.org/0000-0003-4843-5911)
- Tobias Brix (ORCID: https://orcid.org/0000-0002-1557-8097)
- Anne Helfen (ORCID: https://orcid.org/0000-0001-5894-2365)
- Christian Römer (ORCID: https://orcid.org/0000-0003-4386-9323)
- Marcel Kemper (ORCID: https://orcid.org/0000-0001-8906-5297)
- Katarzyna Borys (ORCID: https://orcid.org/0000-0001-6987-6041)
- Felix Nensa (ORCID: https://orcid.org/0000-0002-5811-7100)
- Martin Schuler
- Michael Forsting
- Marc‐David Künnemann (ORCID: https://orcid.org/0009-0002-4963-0989)
Institutions
- University of Münster (DE)
- University Hospital Münster (DE)
- Essen University Hospital (DE)
- West German Heart and Vascular Center Essen (DE)
- Artificial Intelligence in Medicine (Canada) (CA)
Publication Details
- Journal
- Journal of Cachexia Sarcopenia and Muscle
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1002/jcsm.70021
- Citations
- 1
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 1.16