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Magnetic resonance radiographic features which might lead to misdiagnosis of muscle-invasive bladder cancer based on vesical imaging reporting and data system: the application experience of a single center.
Li, Boya; Li, Xiangdong; Li, Zhiyong; Yang, Ping; Pan, Chenghao; Tian, Li; Xie, Chuanmiao.
Afiliación
  • Li B; Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
  • Li X; Department of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
  • Li Z; Department of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
  • Yang P; Department of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
  • Pan C; School of Public Health, Sun Yat-sen University, Guangzhou, China.
  • Tian L; Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Xie C; Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Quant Imaging Med Surg ; 13(10): 7258-7268, 2023 Oct 01.
Article en En | MEDLINE | ID: mdl-37869292

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Quant Imaging Med Surg Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Quant Imaging Med Surg Año: 2023 Tipo del documento: Article