Human and Deep Learning Predictions of Peripheral Lung Cancer Using a 1.3 mm Video Endoscopic Probe.

Journal: Respirology (Carlton, Vic.)
Published Date: May 28, 2025

Abstract

BACKGROUND AND OBJECTIVE: Iriscope, a 1.3 mm video endoscopic probe introduced through an r-EBUS catheter, allows for the direct visualisation of small peripheral pulmonary nodules (PPNs). This study assessed the ability of physicians with different levels of experience in bronchoscopy, and the ability of artificial intelligence (AI) to predict the malignant nature of small PPNs during Iriscope peripheral endoscopy.

Authors

  • Edoardo Amante
    Department of Pneumology, Rouen University Hospital, Rouen, France.
  • Robin Ghyselinck
    Faculty of Computer Science, NaDI, University of Namur, Namur, Belgium.
  • Luc Thiberville
    Department of Pneumology, Rouen University Hospital, Rouen, France.
  • Rocco Trisolini
    Department of Pulmonary Medicine and Interventional Pulmonology, Catholic University of the Sacred Hearth, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
  • Florian Guisier
    Department of Pneumology, Rouen University Hospital, Rouen, France.
  • Valentin Delchevalerie
    Faculty of Computer Science, NaDI, University of Namur, Namur, Belgium.
  • Bruno Dumas
    Faculty of Computer Science, NaDI, University of Namur, Namur, Belgium.
  • Benoît Frénay
    Faculty of Computer Science, NaDI, University of Namur, Namur, Belgium.
  • Inès Duparc
    Department of Pneumology, Rouen University Hospital, Rouen, France.
  • Nicolas Mazellier
    Department of Pneumology, Rouen University Hospital, Rouen, France.
  • Cecile Farhi
    Department of Pneumology, Rouen University Hospital, Rouen, France.
  • Christophe Jubert
    Department of Pneumology, Rouen University Hospital, Rouen, France.
  • Mathieu Salaün
    Department of Pneumology, Rouen University Hospital, Rouen, France.
  • Samy Lachkar
    Department of Pneumology, Rouen University Hospital, Rouen, France.

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