Cargando…
Retrospective Clinical Evaluation of a Decision-Support Software for Adaptive Radiotherapy of Head and Neck Cancer Patients
PURPOSE: This study aimed to evaluate the clinical need for an automated decision-support software platform for adaptive radiation therapy (ART) of head and neck cancer (HNC) patients. METHODS: We tested RTapp (SegAna), a new ART software platform for deciding when a treatment replan is needed, to i...
Autores principales: | Gros, Sebastien A. A., Santhanam, Anand P., Block, Alec M., Emami, Bahman, Lee, Brian H., Joyce, Cara |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279735/ https://www.ncbi.nlm.nih.gov/pubmed/35847951 http://dx.doi.org/10.3389/fonc.2022.777793 |
Ejemplares similares
-
Intraoperative radiation therapy for locally advanced and recurrent head and neck cancer
por: Chiodo, Celina, et al.
Publicado: (2022) -
Radiotherapy for Head and Neck Cancer: Evaluation of Triggered Adaptive Replanning in Routine Practice
por: Figen, Metin, et al.
Publicado: (2020) -
PET/CT in Radiotherapy Planning for Head and Neck Cancer
por: Newbold, Katie, et al.
Publicado: (2012) -
Radiomics and Machine Learning for Radiotherapy in Head and Neck Cancers
por: Giraud, Paul, et al.
Publicado: (2019) -
Intraoperative Radiotherapy With INTRABEAM: Technical and Dosimetric Considerations
por: Sethi, Anil, et al.
Publicado: (2018)