Artificial intelligence in computed tomography for quantifying lung changes in the era of CFTR modulators.

Journal: The European respiratory journal
PMID: 34266943

Abstract

BACKGROUND: Chest computed tomography (CT) remains the imaging standard for demonstrating cystic fibrosis (CF) airway structural disease . However, visual scoring systems as an outcome measure are time consuming, require training and lack high reproducibility. Our objective was to validate a fully automated artificial intelligence (AI)-driven scoring system of CF lung disease severity.

Authors

  • Gael Dournes
    Faculté de Médecine, Université de Bordeaux, 33000 Bordeaux, France.
  • Chase S Hall
    Division of Pulmonary, Critical Care and Sleep Medicine, Dept of Internal Medicine, University of Kansas School of Medicine, Kansas City, KS, USA.
  • Matthew M Willmering
    Center for Pulmonary Imaging Research, Division of Pulmonary Medicine and Dept of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
  • Alan S Brody
    Center for Pulmonary Imaging Research, Division of Pulmonary Medicine and Dept of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
  • Julie Macey
    CHU Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service d'Exploration Fonctionnelle Respiratoire, CIC 1401, Pessac, France.
  • Stephanie Bui
    Bordeaux University Hospital, Hôpital Pellegrin-Enfants, Paediatric Cystic Fibrosis Reference Center (CRCM), CIC 1401, Bordeaux, France.
  • Baudouin Denis de Senneville
    Université de Bordeaux, Mathematical Institute of Bordeaux (IMB), UMR CNRS 5251, Talence, France.
  • Patrick Berger
    Université de Bordeaux, INSERM, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, CIC 1401, Bordeaux, France.
  • François Laurent
    Service d'imagerie thoracique, hôpital du Haut Lévêque, F-33600 Pessac, France.
  • Ilyes Benlala
    Faculté de Médecine, Université de Bordeaux, 33000 Bordeaux, France.
  • Jason C Woods
    Center for Pulmonary Imaging Research, Division of Pulmonary Medicine and Dept of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.

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