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Feasibility of using a commercial collapsed cone dose engine for 1.5T MR-LINAC online independent dose verification.
Li, Yongbao; Wang, Bin; Ding, Shouliang; Liu, Hongdong; Liu, Biaoshui; Xia, Yunfei; Song, Ting; Huang, Xiaoyan.
Afiliación
  • Li Y; Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
  • Wang B; Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
  • Ding S; Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
  • Liu H; Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
  • Liu B; Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
  • Xia Y; Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
  • Song T; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China. Electronic address: tingsong2015@smu.edu.cn.
  • Huang X; Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China. Electronic address: huangxiaoy@sysucc.org.cn.
Phys Med ; 80: 288-296, 2020 Dec.
Article en En | MEDLINE | ID: mdl-33246188
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Planificación de la Radioterapia Asistida por Computador / Radioterapia de Intensidad Modulada Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Phys Med Asunto de la revista: BIOFISICA / BIOLOGIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: Italia
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Planificación de la Radioterapia Asistida por Computador / Radioterapia de Intensidad Modulada Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Phys Med Asunto de la revista: BIOFISICA / BIOLOGIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: Italia