Your browser doesn't support javascript.
loading
A Computed Tomography-Based Radiomics Nomogram to Preoperatively Predict Tumor Necrosis in Patients With Clear Cell Renal Cell Carcinoma.
Jiang, Yi; Li, Wuchao; Huang, Chencui; Tian, Chong; Chen, Qi; Zeng, Xianchun; Cao, Yin; Chen, Yi; Yang, Yintong; Liu, Heng; Bo, Yonghua; Luo, Chenggong; Li, Yiming; Zhang, Tijiang; Wang, Rongping.
Afiliação
  • Jiang Y; Medical College, Guizhou University, Guiyang, China.
  • Li W; Department of Medical Records and Statistics, Guizhou Provincial People's Hospital, Guiyang, China.
  • Huang C; Department of Radiology, Guizhou Provincial People's Hospital, Guiyang, China.
  • Tian C; Guizhou Provincial Key Laboratory of Intelligent Medical Image Analysis and Precision Diagnosis, Guizhou Provincial People's Hospital, Guiyang, China.
  • Chen Q; Research Collaboration Department, R&D Center, Beijing Deepwise & League of PHD Technology Co.LTD, Beijing, China.
  • Zeng X; Department of Radiology, Guizhou Provincial People's Hospital, Guiyang, China.
  • Cao Y; Guizhou Provincial Key Laboratory of Intelligent Medical Image Analysis and Precision Diagnosis, Guizhou Provincial People's Hospital, Guiyang, China.
  • Chen Y; Department of Medical Records and Statistics, Guizhou Provincial People's Hospital, Guiyang, China.
  • Yang Y; Department of Radiology, Guizhou Provincial People's Hospital, Guiyang, China.
  • Liu H; Guizhou Provincial Key Laboratory of Intelligent Medical Image Analysis and Precision Diagnosis, Guizhou Provincial People's Hospital, Guiyang, China.
  • Bo Y; Department of Pathology, Guizhou Provincial People's Hospital, Guiyang, China.
  • Luo C; Department of Pathology, Guizhou Provincial People's Hospital, Guiyang, China.
  • Li Y; Department of Pathology, Guizhou Provincial People's Hospital, Guiyang, China.
  • Zhang T; Department of Radiology, Affiliated hospital of Zunyi Medical University, Zunyi, China.
  • Wang R; Department of Pathology, Affiliated hospital of Zunyi Medical University, Zunyi, China.
Front Oncol ; 10: 592, 2020.
Article em En | MEDLINE | ID: mdl-32547934

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China