Pre-surgical and Post-surgical Aortic Aneurysm Maximum Diameter Measurement: Full Automation by Artificial Intelligence.

Journal: European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery
PMID: 34518071

Abstract

OBJECTIVE: The aim of this study was to evaluate an automatic, deep learning based method (Augmented Radiology for Vascular Aneurysm [ARVA]), to detect and assess maximum aortic diameter, providing cross sectional outer to outer aortic wall measurements.

Authors

  • Chloé Adam
    Incepto Medical, Paris, France.
  • Dominique Fabre
    Aortic Centre, Hôpital Marie Lannelongue, Groupe Hospitalier Paris Saint Joseph, Université Paris Saclay, Paris, France.
  • Justine Mougin
    Aortic Centre, Hôpital Marie Lannelongue, Groupe Hospitalier Paris Saint Joseph, Université Paris Saclay, Paris, France.
  • Marc Zins
    DRIM France IA, 75013 Paris, France; Department of Medical Imaging, Saint-Joseph Hospital, 75014 Paris, France.
  • Arshid Azarine
    Radiology Department, Groupe Hospitalier Paris Saint Joseph, Paris, France.
  • Roberto Ardon
    Incepto Medical, Paris, France.
  • Gaspard d'Assignies
    Incepto Medical, 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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