Artificial neural network model to predict post-hepatectomy early recurrence of hepatocellular carcinoma without macroscopic vascular invasion.

Journal: BMC cancer
PMID: 33726693

Abstract

BACKGROUND: The accurate prediction of post-hepatectomy early recurrence (PHER) of hepatocellular carcinoma (HCC) is vital in determining postoperative adjuvant treatment and monitoring. This study aimed to develop and validate an artificial neural network (ANN) model to predict PHER in HCC patients without macroscopic vascular invasion.

Authors

  • Rong-Yun Mai
    Department of Hepatobiliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning, China; Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, China; Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, China.
  • Jie Zeng
    Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, China.
  • Wei-da Meng
    Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, 71 He Di Road, Nanning, China.
  • Hua-Ze Lu
    Department of Hepatobiliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning, China; Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, China.
  • Rong Liang
    Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, China; Department of First Chemotherapy, Guangxi Medical University Cancer Hospital, Nanning, China.
  • Yan Lin
  • Guo-Bin Wu
    Department of Hepatobiliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning, China; Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, China.
  • Le-Qun Li
    Department of Hepatobiliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning, China; Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, China.
  • Liang Ma
    College of Information and Management, National University of Defense Technology, Changsha 410073, China.
  • Jia-Zhou Ye
    Department of Hepatobiliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning, China; Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, China. Electronic address: yejiazhou2019@163.com.
  • Tao Bai
    Department of Infectious Disease, Wuhan Jinyintan Hospital, Wuhan, Hubei 430048, China.

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