U-net convolutional neural network applied to progressive fibrotic interstitial lung disease: Is progression at CT scan associated with a clinical outcome?

Journal: Respiratory medicine and research
Published Date: Nov 2, 2023

Abstract

BACKGROUND: Computational advances in artificial intelligence have led to the recent emergence of U-Net convolutional neural networks (CNNs) applied to medical imaging. Our objectives were to assess the progression of fibrotic interstitial lung disease (ILD) using routine CT scans processed by a U-Net CNN developed by our research team, and to identify a progression threshold indicative of poor prognosis.

Authors

  • Xavier Guerra
    Department of Radiology, Avicenne Hospital, Assistance Publique - Hôpitaux de Paris, Bobigny, France. Electronic address: Guerra.xavier2407@gmail.com.
  • Simon Rennotte
    Samovar Laboratory, Télécom SudParis, Institut Polytechnique de Paris, Evry, France.
  • Catalin Fetita
    Télécom SudParis, Institut Polytechnique de Paris, 91120, Palaiseau, France.
  • Marouane Boubaya
    Clinical Research Unit, Avicenne Hospital, Assistance Publique - Hôpitaux de Paris, Sorbonne Paris-Nord, Bobigny, France.
  • Marie-Pierre Debray
    Service de Radiologie, Hôpital Bichat, APHP and Université Paris Cité, INSERM, PHERE, F-75018 Paris, France.
  • Dominique Israël-Biet
    Department of Pulmonology, Georges Pompidou European Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France; Université Paris - Cité, Paris, France.
  • Jean-François Bernaudin
    INSERM UMR 1272 Hypoxie & Poumon SMBH, Université Sorbonne Paris - Nord, Bobigny, France; Medicine Sorbonne Université, Paris, France.
  • Dominique Valeyre
    INSERM UMR 1272 Hypoxie & Poumon SMBH, Université Sorbonne Paris - Nord, Bobigny, France; Department of Pulmonology, Avicenne Hospital, Assistance Publique - Hôpitaux de Paris, Bobigny, France.
  • Jacques Cadranel
    Medicine Sorbonne Université, Paris, France; Department of Pulmonology, Tenon Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France.
  • Jean-Marc Naccache
    Department of Pulmonology, Groupe Hospitalier Paris Saint Joseph, Paris, France.
  • Hilario Nunes
    INSERM UMR 1272 Hypoxie & Poumon SMBH, Université Sorbonne Paris - Nord, Bobigny, France; Department of Pulmonology, Avicenne Hospital, Assistance Publique - Hôpitaux de Paris, Bobigny, France.
  • Pierre-Yves Brillet
    Department of Radiology, Hôpital Avicenne, Paris 13 University, 93000 Bobigny, France.

Keywords

External Resources

Popular Topics
Recent Journals