Computed tomography-based fully automated artificial intelligence model to predict extrapancreatic perineural invasion in pancreatic ductal adenocarcinoma.

Journal: International journal of surgery (London, England)
Published Date:

Abstract

BACKGROUND: Extrapancreatic perineural invasion (EPNI) increases the risk of postoperative recurrence in pancreatic ductal adenocarcinoma (PDAC). This study aimed to develop and validate a computed tomography (CT)-based, fully automated preoperative artificial intelligence (AI) model to predict EPNI in patients with PDAC.

Authors

  • Jieyu Yu
    Department of Radiology, Changhai Hospital.
  • Chengwei Chen
    Department of Radiology, Changhai Hospital.
  • Mingzhi Lu
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China.
  • Xu Fang
    Department of Radiology, Changhai Hospital.
  • Jing Li
    Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.
  • Mengmeng Zhu
    Electric Power Research Institute, Yunnan Power Grid Co., Ltd., Kunming, Yunnan, China.
  • Na Li
    School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
  • Xiaohan Yuan
    Department of Radiology, Changhai Hospital.
  • Yaxing Han
    Department of Radiology, No. 411 Hospital, Shanghai, China.
  • 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.