Muscle matters: automated CT-based body composition analysis predicts survival in patients with head and neck cancer treated with immunotherapy
Automated CT-based body composition analysis, particularly the thoracic SM/B ratio and serum albumin level, provide valuable prognostic information on OS for HNSCC patients receiving immunotherapy and may guide clinical decision-making in this patient population.
Authors
- C Arndt
- Frederic Jungbauer (ORCID: https://orcid.org/0000-0002-4512-0263)
- LENA HUBER
- Sonja Ludwig (ORCID: https://orcid.org/0000-0001-9751-323X)
- C Scherl
- Johannes Ludwig (ORCID: https://orcid.org/0000-0003-0838-8831)
- Annette Affolter (ORCID: https://orcid.org/0000-0002-2604-3020)
- Nicole Rotter (ORCID: https://orcid.org/0000-0003-1537-8340)
- Elena Seiz
- J. Haubold
- Stefan O. Schönberg
- Farroch Vahidi Noghani
- Anne Lammert
Institutions
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- University Medical Centre Mannheim (DE)
- University of Duisburg-Essen (DE)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2026-02-24
- DOI
- https://doi.org/10.3389/fonc.2026.1725892
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 0.00