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A Longitudinal MRI-Based Artificial Intelligence System to Predict Pathological Complete Response After Neoadjuvant Therapy in Rectal Cancer: A Multicenter Validation Study.
Ke, Jia; Jin, Cheng; Tang, Jinghua; Cao, Haimei; He, Songbing; Ding, Peirong; Jiang, Xiaofeng; Zhao, Hengyu; Cao, Wuteng; Meng, Xiaochun; Gao, Feng; Lan, Ping; Li, Ruijiang; Wu, Xiaojian.
Afiliación
  • Ke J; Department of General Surgery, Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou City, China.
  • Jin C; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou City, China.
  • Tang J; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou City, China.
  • Cao H; Department of Radiation Oncology, School of Medicine, Stanford University, California.
  • He S; School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai City, China.
  • Ding P; Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou City, China.
  • Jiang X; Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou City, China.
  • Zhao H; Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou City, China.
  • Cao W; Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou City, China.
  • Meng X; Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou City, China.
  • Gao F; Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou City, China.
  • Lan P; Department of General Surgery, Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou City, China.
  • Li R; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou City, China.
  • Wu X; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou City, China.
Dis Colon Rectum ; 66(12): e1195-e1206, 2023 12 01.
Article en En | MEDLINE | ID: mdl-37682775
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias del Recto / Terapia Neoadyuvante Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Dis Colon Rectum Año: 2023 Tipo del documento: Article
Texto completo
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PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias del Recto / Terapia Neoadyuvante Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Dis Colon Rectum Año: 2023 Tipo del documento: Article