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Incorporating dose–volume histogram parameters of swallowing organs at risk in a videofluoroscopy-based predictive model of radiation-induced dysphagia after head and neck cancer intensity-modulated radiation therapy
PURPOSE: To develop a videofluoroscopy-based predictive model of radiation-induced dysphagia (RID) by incorporating DVH parameters of swallowing organs at risk (SWOARs) in a machine learning analysis. METHODS: Videofluoroscopy (VF) was performed to assess the penetration-aspiration score (P/A) at ba...
Autores principales: | Ursino, Stefano, Giuliano, Alessia, Martino, Fabio Di, Cocuzza, Paola, Molinari, Alessandro, Stefanelli, Antonio, Giusti, Patrizia, Aringhieri, Giacomo, Morganti, Riccardo, Neri, Emanuele, Traino, Claudio, Paiar, Fabiola |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892680/ https://www.ncbi.nlm.nih.gov/pubmed/33034672 http://dx.doi.org/10.1007/s00066-020-01697-7 |
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