Radiomic profiling of clear cell renal cell carcinoma reveals subtypes with distinct prognoses and molecular pathways.

Lin, Peng; Lin, Yi-Qun; Gao, Rui-Zhi; Wen, Rong; Qin, Hui; He, Yun; Yang, Hong

Lin, Peng; Lin, Yi-Qun; Gao, Rui-Zhi; Wen, Rong; Qin, Hui; He, Yun; Yang, Hong.

Afiliación

Lin P; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, China.
Lin YQ; Department of Radiology, The Affiliated Dongnan Hospital of Xiamen University, Zhangzhou, Fujian Province 363020, China.
Gao RZ; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, China.
Wen R; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, China.
Qin H; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, China.
He Y; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, China.
Yang H; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, China. Electronic address: yanghong@gxmu.edu.cn.

Transl Oncol ; 14(7): 101078, 2021 Jul.

Article en En | MEDLINE | ID: mdl-33862522

Palabras clave

Clear cell renal cell carcinoma; Computed tomography; Genomics; Radiomics

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Transl Oncol Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

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