Predicting the prognosis of radical gastrectomy for patients with locally advanced gastric cancer after neoadjuvant chemotherapy using machine learning technology: a multicenter study in China.

Journal: Surgical endoscopy
Published Date:

Abstract

BACKGROUND: Neoadjuvant chemotherapy (NAC) can improve the prognosis of patients with locally advanced gastric cancer (LAGC). However, precise models for accurate prognostic predictions are lacking. We aimed to utilize Cox regression and integrate various machine learning (ML) algorithms to identify and prioritize key factors influencing LAGC overall survival to establish an efficient prognostic prediction model.

Authors

  • Ze-Ning Huang
    Department of Gastric Surgery, Fujian Medical University Union Hospital, No. 29, Xinquan Road, Fuzhou, 350001, Fujian Province, China.
  • Qi-Chen He
    Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China.
  • Yu-Qin Sun
    Department of Gastrointestinal Surgery, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, China.
  • Yu-Bin Ma
    Department of Gastrointestinal Surgery, Qinghai University Affiliated Hospital, Xining, China.
  • Wen-Wu Qiu
    Department of Gastric Surgery, Fujian Medical University Union Hospital, No. 29, Xinquan Road, Fuzhou, 350001, Fujian Province, China.
  • Ji-Xun He
    Department of Gastric Surgery, Fujian Medical University Union Hospital, No. 29 Xinquan Rd, Fuzhou, 350001, Fujian, China.
  • Chao-Hui Zheng
    Department of Gastric Surgery, Fujian Medical University Union Hospital, No. 29, Xinquan Road, Fuzhou, 350001, Fujian Province, China.
  • Ping Li
    Department of Gastroenterology, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
  • Jia-Bin Wang
    Department of Gastric Surgery and Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, Fujian Province, China.
  • Qi-Yue Chen
    Department of Gastric Surgery and Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, Fujian Province, China.
  • Long-Long Cao
    Department of Gastric Surgery and Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, Fujian Province, China.
  • Mi Lin
    Department of Gastric Surgery and Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, Fujian Province, China.
  • Ru-Hong Tu
    Department of Gastric Surgery and Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, Fujian Province, China.
  • Chang-Ming Huang
    Department of Gastric Surgery, Fujian Medical University Union Hospital, No. 29, Xinquan Road, Fuzhou, 350001, Fujian Province, China. hcmlr2002@163.com.
  • Jian-Xian Lin
    Department of Gastric Surgery, Fujian Medical University Union Hospital, No. 29, Xinquan Road, Fuzhou, 350001, Fujian Province, China. linjian379@163.com.
  • Jian-Wei Xie
    Department of Gastric Surgery and Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, Fujian Province, China.

Keywords

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