Detection of Endoleak after Endovascular Aortic Repair through Deep Learning Based on Non-contrast CT.

Journal: Cardiovascular and interventional radiology
PMID:

Abstract

OBJECTIVES: To develop and validate a deep learning model for detecting post-endovascular aortic repair (EVAR) endoleak from non-contrast CT.

Authors

  • Qingqi Yang
    Department of Vascular Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
  • Jinglang Hu
    School of Medicine, Sun Yat-Sen University, Guangzhou, China.
  • Yingqi Luo
    Department of Medical Imaging, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
  • Dongdong Jia
    Department of Vascular Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
  • Nuo Chen
    Ningbo Key Laboratory of Medical Research on Blinding Eye Diseases, Ningbo Eye Institute, Ningbo Eye Hospital, Wenzhou Medical University, Ningbo, China.
  • Chen Yao
    Division of Vascular Surgery, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510800, China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Disease, First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China. Electronic address: yaochen@mail.sysu.edu.cn.
  • Ridong Wu
    Department of Vascular Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China. wurd5@mail.sysu.edu.cn.