Exploratory analysis using machine learning to predict for chest wall pain in patients with stage I non‐small‐cell lung cancer treated with stereotactic body radiation therapy

BACKGROUND AND PURPOSE: Chest wall toxicity is observed after stereotactic body radiation therapy (SBRT) for peripherally located lung tumors. We utilize machine learning algorithms to identify toxicity predictors to develop dose–volume constraints. MATERIALS AND METHODS: Twenty‐five patient, tumor,...

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Detalles Bibliográficos
Autores principales: Chao, Hann‐Hsiang, Valdes, Gilmer, Luna, Jose M., Heskel, Marina, Berman, Abigail T., Solberg, Timothy D., Simone, Charles B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123157/
https://www.ncbi.nlm.nih.gov/pubmed/29992732
http://dx.doi.org/10.1002/acm2.12415

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123157/
https://www.ncbi.nlm.nih.gov/pubmed/29992732
http://dx.doi.org/10.1002/acm2.12415

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