Artificial Intelligence-Assisted Sac Diameter Assessment for Complex Endovascular Aortic Repair.

Journal: Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists
Published Date: Oct 30, 2023

Abstract

PURPOSE: Artificial intelligence (AI) using an automated, deep learning-based method, Augmented Radiology for Vascular Aneurysm (ARVA), has been verified as a viable aide in aneurysm morphology assessment. The aim of this study was to evaluate the accuracy of ARVA when analyzing preoperative and postoperative computed tomography angiography (CTA) in patients managed with fenestrated endovascular repair (FEVAR) for complex aortic aneurysms (cAAs).

Authors

  • Moritz Wegner
    University of Cologne, Department of Vascular and Endovascular Surgery, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
  • Vincent Fontaine
    Aortic Center, Marie Lannelongue Hospital, Groupe Hospitalier Paris Saint Joseph, Paris-Saclay University, Le Plessis-Robinson, France.
  • Petroula Nana
    Aortic Center, Marie Lannelongue Hospital, Groupe Hospitalier Paris Saint Joseph, Paris-Saclay University, Le Plessis-Robinson, France.
  • Bryan V Dieffenbach
    Division of Vascular and Endovascular Surgery, Brigham and Women's Hospital, Boston, MA, USA.
  • Dominique Fabre
    Aortic Centre, Hôpital Marie Lannelongue, Groupe Hospitalier Paris Saint Joseph, Université Paris Saclay, Paris, France.
  • Stephan Haulon
    Aortic Centre, Hôpital Marie Lannelongue, Groupe Hospitalier Paris Saint Joseph, Université Paris Saclay, Paris, France. Electronic address: haulon@hotmail.com.

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