Dosimetric Accuracy of MR-Guided Online Adaptive Planning for Nasopharyngeal Carcinoma Radiotherapy on 1.5 T MR-Linac.

Ding, Shouliang; Liu, Hongdong; Li, Yongbao; Wang, Bin; Li, Rui; Huang, Xiaoyan

Ding, Shouliang; Liu, Hongdong; Li, Yongbao; Wang, Bin; Li, Rui; Huang, Xiaoyan.

Afiliación

Ding S; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Liu H; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Li Y; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Wang B; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Li R; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Huang X; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.

Front Oncol ; 12: 858076, 2022.

Article en En | MEDLINE | ID: mdl-35463359

Palabras clave

MR-Linac; NPC; bulk ED assignment; online adaptive radiotherapy; synthetic CT

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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Front Oncol Año: 2022 Tipo del documento: Article País de afiliación: China