A computed tomography angiography-based radiomics model for prognostic prediction of endovascular abdominal aortic repair.

Journal: International journal of cardiology
Published Date: Mar 14, 2025

Abstract

OBJECTIVE: This study aims to develop a radiomics machine learning (ML) model that uses preoperative computed tomography angiography (CTA) data to predict the prognosis of endovascular aneurysm repair (EVAR) for abdominal aortic aneurysm (AAA) patients.

Authors

  • Shanya Huang
    National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China; Department of Ultrasound, The Second Xiangya Hospital, Central South University, Changsha 410011, China.
  • Dingxiao Liu
    Department of Vascular Surgery, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
  • Kai Deng
    Sandia National Laboratories , Livermore , California 94550 , United States.
  • Chang Shu
    Department of Pharmaceutical Analysis, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
  • Yan Wu
    Beijing Hui-Long-Guan Hospital, Peking University, Beijing, 100096, China.
  • Zhiguang Zhou
    National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China. Electronic address: Zhouzhiguang@csu.edu.cn.

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