Development and validation of an AI-driven radiomics model using non-enhanced CT for automated severity grading in chronic pancreatitis.

Journal: European radiology
Published Date: Jun 19, 2025

Abstract

OBJECTIVE: To develop and validate the chronic pancreatitis CT severity model (CATS), an artificial intelligence (AI)-based tool leveraging automated 3D segmentation and radiomics analysis of non-enhanced CT scans for objective severity stratification in chronic pancreatitis (CP).

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.
  • Chengwei Shao
    Department of Radiology, Changhai Hospital.
  • Yun Bian
    Department of Radiology, Changhai Hospital.

Keywords

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