Deep learning-assisted colonoscopy images for prediction of mismatch repair deficiency in colorectal cancer.

Journal: Surgical endoscopy
PMID:

Abstract

BACKGROUND: Deficient mismatch repair or microsatellite instability is a major predictive biomarker for the efficacy of immune checkpoint inhibitors of colorectal cancer. However, routine testing has not been uniformly implemented due to cost and resource constraints.

Authors

  • Yue Cai
    Department of Anesthesiology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
  • Xijie Chen
    School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510600, China.
  • Junguo Chen
    Department of Thoracic Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
  • James Liao
    Guangzhou Aptiligent Technology Co. Ltd., Guangzhou, Guangdong, China.
  • Ming Han
    James Franck Institute, University of Chicago, Chicago, IL 60637.
  • Dezheng Lin
    Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, Guangdong Research Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, 26 Yuancun Erheng Road, Guangzhou, Guangdong, China.
  • Xiaoling Hong
    Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, Guangdong Research Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, 26 Yuancun Erheng Road, Guangzhou, Guangdong, China.
  • Huabin Hu
    CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming 650223, China.
  • Jiancong Hu
    Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, Guangdong Research Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, 26 Yuancun Erheng Road, Guangzhou, Guangdong, China. hujianc@mail.sysu.edu.cn.