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CT morphological features for predicting the risk of lymph node metastasis in T1 colorectal cancer.
Li, Suyun; Li, Zhenhui; Wang, Li; Wu, Mimi; Chen, Xiaobo; He, Chutong; Xu, Yao; Dong, Mengyi; Liang, Yanting; Chen, Xin; Liu, Zaiyi.
Afiliação
  • Li S; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 106 Zhongshan Er Road, Guangzhou, 510080, China.
  • Li Z; School of Medicine, South China University of Technology, Guangzhou, 510006, China.
  • Wang L; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
  • Wu M; Department of Radiology, the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, 650118, China.
  • Chen X; Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, 511400, China.
  • He C; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 106 Zhongshan Er Road, Guangzhou, 510080, China.
  • Xu Y; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 106 Zhongshan Er Road, Guangzhou, 510080, China.
  • Dong M; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
  • Liang Y; Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, 1 Panfu Road, Guangzhou, 510180, China.
  • Chen X; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 106 Zhongshan Er Road, Guangzhou, 510080, China.
  • Liu Z; School of Medicine, South China University of Technology, Guangzhou, 510006, China.
Eur Radiol ; 33(10): 6861-6871, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37171490
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Neoplasias do Colo Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Eur Radiol Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Neoplasias do Colo Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Eur Radiol Ano de publicação: 2023 Tipo de documento: Article