Deep learning NTCP model for late dysphagia after radiotherapy for head and neck cancer patients based on 3D dose, CT and segmentations
DL NTCP models performed significantly better than the conventional NTCP model, suggesting the benefit of using 3D-input over the conventional discrete dose parameters. Attention maps highlighted relevant regions linked to dysphagia, supporting the utility of DL for improved predictions.
Authors
- Johannes A. Langendijk (ORCID: https://orcid.org/0000-0003-1083-372X)
- Nanna M. Sijtsema
- Peter M. A. van Ooijen (ORCID: https://orcid.org/0000-0002-8995-1210)
- A. Gawryszuk (ORCID: https://orcid.org/0000-0002-4564-7858)
- Lisanne V. van Dijk (ORCID: https://orcid.org/0000-0002-9515-5616)
- Katherine A. Hutcheson (ORCID: https://orcid.org/0000-0003-3710-5706)
- Clifton D. Fuller (ORCID: https://orcid.org/0000-0002-5264-3994)
- Roel J.H.M. Steenbakkers
- Hung Chu (ORCID: https://orcid.org/0000-0002-9531-8980)
- Daniel MacRae (ORCID: https://orcid.org/0000-0003-4935-1373)
- Suzanne P.M. de Vette (ORCID: https://orcid.org/0000-0003-3243-2898)
- Luuk Van der Hoek
- Harribert Neh (ORCID: https://orcid.org/0000-0002-4488-1810)
Institutions
- University Medical Center Groningen (NL)
- The University of Texas MD Anderson Cancer Center (US)
- University of Groningen (NL)
Publication Details
- Journal
- Radiotherapy and Oncology
- Published
- 2025-09-29
- DOI
- https://doi.org/10.1016/j.radonc.2025.111169
- Citations
- 4
- Primary Topic
- Dysphagia Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 12.47
Funders
- U.S. Department of Defense
- European Commission
- Rijksuniversiteit Groningen
- ZonMw
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- National Institutes of Health
- University of Texas MD Anderson Cancer Center
- National Cancer Institute
- National Institute of Dental and Craniofacial Research
- DOD Peer Reviewed Cancer Research Program