Development and validation of a random forest model for predicting radiation pneumonitis in lung cancer patients receiving moderately hypofractionated radiotherapy: a retrospective cohort study.

Zhang, Yang; Li, Zongjuan; Xiao, Han; Li, Zhenjiang; He, Jian; Du, Shisuo; Zeng, Zhaochong

Zhang, Yang; Li, Zongjuan; Xiao, Han; Li, Zhenjiang; He, Jian; Du, Shisuo; Zeng, Zhaochong.

Afiliación

Zhang Y; Department of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai, China.
Li Z; Department of Medical Oncology, Shanghai Pulmonary Hospital and Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China.
Xiao H; Department of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai, China.
Li Z; Department of Radiation Physics, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
He J; Department of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai, China.
Du S; Department of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai, China.
Zeng Z; Department of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai, China.

Ann Transl Med ; 10(23): 1264, 2022 Dec.

Article en En | MEDLINE | ID: mdl-36618794

Palabras clave

Non-small cell lung cancer (NSCLC); hypofractionated radiotherapy; radiation pneumonitis (RP); random forest (RF)

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ann Transl Med Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: China

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google