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Preoperative Pathological Grading of Hepatocellular Carcinoma Using Ultrasomics of Contrast-Enhanced Ultrasound.
Wang, Wei; Wu, Shan-Shan; Zhang, Jian-Chao; Xian, Meng-Fei; Huang, Hui; Li, Wei; Zhou, Zhuo-Ming; Zhang, Chu-Qing; Wu, Ting-Fan; Li, Xin; Xu, Ming; Xie, Xiao-Yan; Kuang, Ming; Lu, Ming-De; Hu, Hang-Tong.
Afiliação
  • Wang W; Department of Medical Ultrasonics, Ultrasomics Artificial Intelligence X-Lab, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China; Department of Hepatobiliary Surgery, The First Affiliated Hospital of Sun Yat-Sen University
  • Wu SS; Department of Medical Ultrasonics, Ultrasomics Artificial Intelligence X-Lab, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
  • Zhang JC; Department of Medical Ultrasonics, Ultrasomics Artificial Intelligence X-Lab, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
  • Xian MF; Department of Medical Ultrasonics, East Division, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Huang H; Department of Medical Ultrasonics, East Division, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Li W; Department of Medical Ultrasonics, Ultrasomics Artificial Intelligence X-Lab, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
  • Zhou ZM; Department of Cardiac Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
  • Zhang CQ; State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, The Cancer Center of Sun Yat-sen University, Guangzhou, China.
  • Wu TF; GE Healthcare, Shanghai, China.
  • Li X; GE Healthcare, Shanghai, China.
  • Xu M; Department of Medical Ultrasonics, Ultrasomics Artificial Intelligence X-Lab, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
  • Xie XY; Department of Medical Ultrasonics, Ultrasomics Artificial Intelligence X-Lab, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
  • Kuang M; Department of Medical Ultrasonics, Ultrasomics Artificial Intelligence X-Lab, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China; Department of Hepatobiliary Surgery, The First Affiliated Hospital of Sun Yat-Sen University
  • Lu MD; Department of Medical Ultrasonics, Ultrasomics Artificial Intelligence X-Lab, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China; Department of Hepatobiliary Surgery, The First Affiliated Hospital of Sun Yat-Sen University
  • Hu HT; Department of Medical Ultrasonics, Ultrasomics Artificial Intelligence X-Lab, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China; Department of Hepatobiliary Surgery, The First Affiliated Hospital of Sun Yat-Sen University
Acad Radiol ; 28(8): 1094-1101, 2021 08.
Article em En | MEDLINE | ID: mdl-32622746

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma Hepatocelular / Neoplasias Hepáticas Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Acad Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma Hepatocelular / Neoplasias Hepáticas Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Acad Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2021 Tipo de documento: Article
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