Prediction of Distal Aortic Enlargement after Proximal Repair of Aortic Dissection Using Machine Learning.

Journal: Annals of vascular surgery
PMID: 33823266

Abstract

OBJECTIVES: This study aimed to construct a risk prediction model for distal aortic enlargement in patients with type B aortic dissection (TBAD) treated with proximal thoracic endovascular aortic repair (TEVAR).

Authors

  • Min Zhou
    Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
  • Zhenyu Shi
    Department of Vascular Surgery, Institute of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Xu Li
    Department of Critical Care Medicine, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
  • Liang Cai
    Department of Vascular Surgery, Institute of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Yong Ding
    Department of Vascular Surgery, Institute of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Yi Si
    Department of Vascular Surgery, Institute of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Hongwen Deng
    Department of Global Biostatistics and Data Science, Center for Bioinformatics and Genomics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Los Angeles.
  • Weiguo Fu
    Department of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China.

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