Artificial intelligence-assisted analysis for tumor-immune interaction within the invasive margin of colorectal cancer.

Journal: Annals of medicine
Published Date: Dec 1, 2023

Abstract

BACKGROUND: In colorectal cancer (CRC), both tumor invasion and immunological analysis at the tumor invasive margin (IM) are significantly associated with patient prognosis, but have traditionally been reported independently. We propose a new scoring system, the TGP-I score, to assess the association and interactions between tumor growth pattern (TGP) and tumor infiltrating lymphocytes at the IM and to predict its prognostic validity for CRC patient stratification.

Authors

  • Yunrui Ye
    Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Xiaomei Wu
  • Huihui Wang
    School of Mechanical Engineering & Automation, Dalian Polytechnic University, Qinggongyuan 1, Ganjingzi District, Dalian 116034, PR China; National Engineering Research Center of Seafood, Dalian Polytechnic University, Qinggongyuan 1, Ganjingzi District, Dalian 116034, PR China; Engineering Research Center of Seafood of Ministry of Education of China, Dalian 116034, PR China; Collaborative Innovation Center of Seafood Deep Processing, Dalian 116034, PR China. Electronic address: wanghh@dlpu.edu.cn.
  • Huifen Ye
    Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangzhou, China.
  • Ke Zhao
    Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Su Yao
    Department of Pathology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Zaiyi Liu
    Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Yaxi Zhu
    Department of Pathology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Qingling Zhang
  • Changhong Liang
    Department of Radiology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.

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