Development and Internal Evaluation of AI-Assisted Cervical Muscle-Based Scores (FUNC-RISK) in Head and Neck Cancer: A Pilot Study
FUNC-RISK provides preliminary evidence of clinically meaningful prognostic stratification based on AI-derived cervical muscle quantity and quality metrics obtained from routine radiotherapy-planning CT scans. These exploratory results support the potential role of automated body-composition analysis in personalized risk assessment for HNC, although external multicenter validation is required before clinical implementation.
Institutions
- Universidad de Las Palmas de Gran Canaria (ES)
- Hebron University (PS)
- Instituto de Salud Carlos III (ES)
- Universidad Fernando Pessoa Canarias (ES)
- Hospital Universitario de Gran Canaria Doctor Negrín (ES)
- Canary Institute of Cancer Research (ES)
- Vall d'Hebron Hospital Universitari (ES)
Publication Details
- Journal
- Cancers
- Published
- 2025-12-12
- DOI
- https://doi.org/10.3390/cancers17243968
- Primary Topic
- Head and Neck Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00