Colour Doppler ultrasound of temporal arteries for the diagnosis of giant cell arteritis: a multicentre deep learning study.

Journal: Clinical and experimental rheumatology
PMID: 32441644

Abstract

OBJECTIVES: Giant cell arteritis (GCA) is the most common systemic vasculitis in adults. In recent years, colour Doppler ultrasound of the temporal arteries (CDU) has proven to be a powerful non-invasive diagnostic tool, but its place in the diagnosis of GCA remains to be defined. A limitation of the CDU is the inter-operator reproducibility. Image analysis from a different perspective is now possible with the development of artificial intelligence algorithms. We propose to assess this technology for the detection of the halo sign on CDU images.

Authors

  • Christophe Roncato
    Vascular Medicine Department, Groupe Hospitalier de la Rochelle Ré Aunis, La Rochelle, France. christophe.roncato@ght-atlantique17.fr.
  • Lior Perez
    Artificial Intelligence Lab, Météo-France, Toulouse, France.
  • Antoine Brochet-Guégan
    Rheumatology Department, Groupe Hospitalier de la Rochelle Ré Aunis, La Rochelle, France.
  • Caroline Allix-Béguec
    Clinical Research Unit, Groupe Hospitalier de la Rochelle Ré Aunis, La Rochelle, France.
  • Alizée Raimbeau
    Department of Internal Medicine, CHU Nantes, France.
  • Giovanni Gautier
    Department of Internal Medicine, CHU Nantes, France.
  • Christian Agard
    Department of Internal Medicine, CHU Nantes, France.
  • Gaëtan Ploton
    Department of Internal Medicine, CHU Nantes, France.
  • Simon Moisselin
    Université Paul Sabatier, Toulouse, France.
  • Fanny Lorcerie
    Vascular Medicine Department, Groupe Hospitalier de la Rochelle Ré Aunis, La Rochelle, France.
  • Guillaume Denis
    Medicine and Haematology Department, Centre Hospitalier de Rochefort, France.
  • Bruno Gombert
    Rheumatology Department, Groupe Hospitalier de la Rochelle Ré Aunis, La Rochelle, France.
  • Elisabeth Gervais
    Rheumatology Unit, CHU de Poitiers, France.
  • Olivier Espitia
    Department of Internal Medicine, CHU Nantes, France.

Keywords

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