Evaluation of a quasi-automatic treatment planning workflow for head-and-neck cancer in radiotherapy
Background and purpose: Automation of radiotherapy workflows enhances efficiency, consistency and would support adaptive online dosimetry on standard linacs. This study investigated the feasibility and quality of a quasi-automatic treatment planning workflow for head-and-neck cancer. Materials and methods: ). IOV‑derived asymmetric safety margins around PTVn autocontours were computed from Euclidean distances. Results: of 95.1 ± 5.4%, while no significant impact on OARs dose was observed (p > 0.4). Conclusions: The quasi‑automatic workflow generated clinically acceptable, often superior plans. IOV‑based CTVn margins enhanced robustness and may hasten clinical adoption.
Authors
- Marie‐Claude Biston (ORCID: https://orcid.org/0009-0005-7837-8307)
- S. Racadot
- C. Laude (ORCID: https://orcid.org/0000-0001-7118-4511)
- David Sarrut (ORCID: https://orcid.org/0000-0002-4854-4141)
- Anne-Agathe Serre
- Moritz Westermayer
- Daniela Sandu
Institutions
- Université Claude Bernard Lyon 1 (FR)
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Metropolitan University of Educational Sciences (CL)
- Centre Léon Bérard (FR)
- Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (FR)
- Institut National des Sciences Appliquées de Lyon (FR)
Publication Details
- Journal
- Physics and Imaging in Radiation Oncology
- Published
- 2026-04-25
- DOI
- https://doi.org/10.1016/j.phro.2026.100983
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Agence Nationale de la Recherche
- Institut National de la Santé et de la Recherche Médicale
- Institut National Du Cancer
- Direction Générale de l’offre de Soins
- Université de Lyon
- LabEx PRIMES