Development and validation of a novel chronic pancreatitis pathological grade based on artificial intelligence.

Journal: Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]
Published Date: Apr 29, 2025

Abstract

BACKGROUND: Effective chronic pancreatitis (CP) treatment requires accurate severity evaluation, but no histopathology grading system exists. This study aimed to develop and validate a novel CP pathological grade (Histopathology-derived CPpG) using quantified pathological and radiological characteristics through deep learning.

Authors

  • Chengwei Chen
    Department of Radiology, Changhai Hospital.
  • Jian Zhou
    CTIQ, Canon Medical Research USA, Inc., Vernon Hills, 60061, USA.
  • Shaojia Mo
    Department of Radiology, Changhai Hospital, Shanghai, China.
  • Jing Li
    Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.
  • Xu Fang
    Department of Radiology, Changhai Hospital.
  • Fang Liu
    The First Clinical Medical College of Gannan Medical University, Ganzhou 341000, Jiangxi Province, China.
  • Tiegong Wang
    Department of Radiology, Changhai Hospital.
  • Li Wang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Jianping Lu
    Department of Radiology, Changhai Hospital.
  • Hui Jiang
    Queensland Alliance for Environmental Health Science (QAEHS), University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4012, Australia.
  • Chengwei Shao
    Department of Radiology, Changhai Hospital.
  • Yun Bian
    Department of Radiology, Changhai Hospital.

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