Construction and validation of a progression prediction model for locally advanced rectal cancer patients received neoadjuvant chemoradiotherapy followed by total mesorectal excision based on machine learning.

Journal: Frontiers in oncology
Published Date: Jan 24, 2024

Abstract

BACKGROUND: We attempted to develop a progression prediction model for local advanced rectal cancer(LARC) patients who received preoperative neoadjuvant chemoradiotherapy(NCRT) and operative treatment to identify high-risk patients in advance.

Authors

  • Jitao Hu
    Department of General Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
  • Yuanyuan Sheng
    School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China.
  • Jinlong Ma
    School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China.
  • Yujie Tang
    Department of General Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
  • Dong Liu
    Department of Gastrointestinal Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
  • Jianqing Zhang
    Department of General Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
  • Xudong Wei
    Department of General Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
  • Yang Yang
    Department of Gastrointestinal Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
  • Yueping Liu
    Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
  • Yongqiang Zhang
    School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China.
  • Guiying Wang
    Department of General Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals