Prediction and validation of pathologic complete response for locally advanced rectal cancer under neoadjuvant chemoradiotherapy based on a novel predictor using interpretable machine learning.

Journal: European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
PMID: 39395242

Abstract

BACKGROUND: Precise evaluation of pathological complete response (pCR) is essential for determining the prognosis of patients with locally advanced rectal cancer (LARC) undergoing neoadjuvant chemoradiotherapy (NCRT) and can offer clues for the selection of subsequent treatment strategies. Most current predictive models for pCR focus primarily on pre-treatment factors, neglecting the dynamic systemic changes that occur during neoadjuvant chemoradiotherapy, and are constrained by low accuracy and lack of integrity.

Authors

  • Ye Wang
    College of Computer Science and Technology, Jilin University, Changchun 130012, China.
  • Zhen Pan
    National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China.
  • Shoufeng Li
    Department of Colorectal Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
  • Huajun Cai
    Department of Colorectal Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
  • Ying Huang
    Department of Otolaryngology, Head and Neck Surgery, Affiliated Hospital of Southwest Medical University Luzhou, Sichuan, China.
  • Jinfu Zhuang
    Department of Colorectal Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
  • Xing Liu
    School of Food Science and Engineering, Hainan University 58 Renmin Avenue Haikou 570228 China zhangzeling@hainanu.edu.cn benchao312@hainanu.edu.cn xuhuan.hnu@foxmail.com qichen@hainanu.edu.cn sunzhichang11@163.com hmcao@hainanu.edu.cn.
  • Xingrong Lu
    Department of Colorectal Surgery, Fujian Medical University Union Hospital, Fuzhou, China. Electronic address: lynxlxr18@hotmail.com.
  • Guoxian Guan
    Department of Colorectal Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China. fjxhggx@163.com.

Keywords

External Resources

Popular Topics
Recent Journals