Artificial intelligence–assisted rectus femoris ultrasound vs. L3 computed tomography for sarcopenia assessment in oncology patients: establishing diagnostic cut-offs for muscle mass and quality
AI-enhanced rectus femoris ultrasonography is a feasible, non-invasive, and clinically relevant approach for sarcopenia assessment in oncology. AI-assisted ultrasonography showed moderate correlations with CT-derived muscle mass indices and reliably capture qualitative changes in muscle quality and fat infiltration. The AI heralds a new era of rapid, radiation-free body composition assessment.
Authors
- Paloma Pérez-López
- I. Sánchez Lite (ORCID: https://orcid.org/0000-0002-1114-2026)
- Olatz Izaola-Jáuregui
- Emilia Gómez Hoyos (ORCID: https://orcid.org/0000-0001-7079-6356)
- David Primo (ORCID: https://orcid.org/0000-0002-3474-0766)
- Daniel Antonio de Luis (ORCID: https://orcid.org/0000-0002-1745-9315)
- Juan José López Gómez (ORCID: https://orcid.org/0000-0003-3144-343X)
- Ángela Cebriá (ORCID: https://orcid.org/0000-0001-5878-2832)
- Pablo Fernández (ORCID: https://orcid.org/0000-0002-7710-0670)
- Jaime González-Gutiérrez
- Lucía Estévez-Asensio
- Eduardo Jorge-Godoy
Institutions
- Universidad de Valladolid (ES)
- Universitat de València (ES)
- Parc Científic de la Universitat de València (ES)
- Hospital Clínico Universitario de Valladolid (ES)
Publication Details
- Journal
- Frontiers in Nutrition
- Published
- 2025-09-25
- DOI
- https://doi.org/10.3389/fnut.2025.1678989
- Citations
- 2
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 2.33