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A computed tomography (CT)-derived radiomics approach for predicting primary co-mutations involving TP53 and epidermal growth factor receptor (EGFR) in patients with advanced lung adenocarcinomas (LUAD).
Zhu, Ying; Guo, Yu-Biao; Xu, Di; Zhang, Jing; Liu, Zhen-Guo; Wu, Xi; Yang, Xiao-Yu; Chang, Dan-Dan; Xu, Min; Yan, Jing; Ke, Zun-Fu; Feng, Shi-Ting; Liu, Yang-Li.
Afiliación
  • Zhu Y; Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Guo YB; Division of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Xu D; Department of Thoracic Surgery, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Zhang J; Division of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Liu ZG; Department of Thoracic Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Wu X; Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Yang XY; Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Chang DD; Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Xu M; Scientific Collaboration, CT-MR Division, Canon Medical System (China), Beijing, China.
  • Yan J; Scientific Collaboration, CT-MR Division, Canon Medical System (China), Beijing, China.
  • Ke ZF; Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Feng ST; Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Liu YL; Division of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Ann Transl Med ; 9(7): 545, 2021 Apr.
Article en En | MEDLINE | ID: mdl-33987243
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ann Transl Med Año: 2021 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ann Transl Med Año: 2021 Tipo del documento: Article País de afiliación: China