Detection and severity quantification of pulmonary embolism with 3D CT data using an automated deep learning-based artificial solution.

Journal: Diagnostic and interventional imaging
PMID:

Abstract

PURPOSE: The purpose of this study was to propose a deep learning-based approach to detect pulmonary embolism and quantify its severity using the Qanadli score and the right-to-left ventricle diameter (RV/LV) ratio on three-dimensional (3D) computed tomography pulmonary angiography (CTPA) examinations with limited annotations.

Authors

  • Aissam Djahnine
    Philips Research France, 92150 Suresnes, France; CREATIS, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, Lyon, France. Electronic address: aissam.djahnine@philips.com.
  • Carole Lazarus
    Philips Research France, 92150 Suresnes, France.
  • Mathieu Lederlin
    Department of Radiology, CHU Rennes, 35000 Rennes, France.
  • Sébastien Mulé
    Medical Imaging Department, Henri Mondor University Hospital, AP-HP, Créteil, France, Inserm, U955, Team 18, 94000 Créteil, France.
  • Rafael Wiemker
    Philips Research France, 92150 Suresnes, France.
  • Salim Si-Mohamed
    Department of Radiology, Hospices Civils de Lyon, 69500 Lyon, France.
  • Emilien Jupin-Delevaux
    Department of Radiology, Hospices Civils de Lyon, 69500 Lyon, France.
  • Olivier Nempont
    Philips Research France, 92150 Suresnes, France.
  • Youssef Skandarani
    Philips Research France, 92150 Suresnes, France.
  • Mathieu De Craene
    Philips Research France, 92150 Suresnes, France.
  • Segbedji Goubalan
    Philips Research France, 92150 Suresnes, France.
  • Caroline Raynaud
    Philips Research France, 92150 Suresnes, France.
  • Younes Belkouchi
    Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay, BIOMAPS, UMR 1281, Université Paris-Saclay, Inserm, CNRS, CEA, 94800 Villejuif, France; OPIS - Optimisation Imagerie et Santé, Université Paris-Saclay, Inria, CentraleSupélec, CVN - Centre de vision numérique, 91190 Gif-Sur-Yvette, France.
  • Amira Ben Afia
    Department of Radiology, APHP Nord, Hôpital Bichat, 75018 Paris, France.
  • Clement Fabre
    Department of Radiology, Centre Hospitalier de Laval, 53000 Laval, France.
  • Gilbert Ferretti
    Universite Grenobles Alpes, Service de Radiologie et Imagerie Médicale, CHU Grenoble-Alpes, 38000 Grenoble, France.
  • Constance De Margerie
    Université Paris Cité, 75006 Paris, France, Department of Radiology, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, 75010 Paris, France.
  • Pierre Berge
    Department of Radiology, CHU Angers, 49000 Angers, France.
  • Renan Liberge
    Department of Radiology, CHU Nantes, 44000 Nantes, France.
  • Nicolas Elbaz
    Department of Radiology, Hôpital Européen Georges Pompidou, AP-HP, 75015 Paris, France.
  • Maxime Blain
    Department of Radiology, Hopital Henri Mondor, AP-HP, 94000 Créteil, France.
  • Pierre-Yves Brillet
    Department of Radiology, Hôpital Avicenne, Paris 13 University, 93000 Bobigny, France.
  • Guillaume Chassagnon
    Department of Radiology, Hopital Cochin, APHP, 75014 Paris, France; Université Paris Cité, 75006 Paris, France.
  • Farah Cadour
    APHM, Hôpital Universitaire Timone, CEMEREM, 13005 Marseille, France.
  • Caroline Caramella
    Department of Radiology, Groupe Hospitalier Paris Saint-Joseph, 75015 Paris, France.
  • Mostafa El Hajjam
    Department of Radiology, Hôpital Ambroise Paré Hospital, UMR 1179 INSERM/UVSQ, Team 3, 92100 Boulogne-Billancourt, France.
  • Samia Boussouar
    Sorbonne Université, Hôpital La Pitié-Salpêtrière, APHP, Unité d'Imagerie Cardiovasculaire et Thoracique (ICT), 75013 Paris, France.
  • Joya Hadchiti
    Department of Imaging, Institut Gustave Roussy, Université Paris-Saclay. 94800 Villejuif, France.
  • Xavier Fablet
    Department of Radiology, CHU Rennes, 35000 Rennes, France.
  • Antoine Khalil
    Department of Radiology, APHP Nord, Hôpital Bichat, 75018 Paris, France.
  • Hugues Talbot
    OPIS - Optimisation Imagerie et Santé, Université Paris-Saclay, Inria, CentraleSupélec, CVN - Centre de vision numérique, 91190 Gif-Sur-Yvette, France.
  • Alain Luciani
    Medical Imaging Department, Henri Mondor University Hospital, AP-HP, Créteil, France, Inserm, U955, Team 18, 94000 Créteil, France.
  • Nathalie Lassau
    Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay, BIOMAPS, UMR 1281, Université Paris-Saclay, Inserm, CNRS, CEA, 94800 Villejuif, France; Department of Imaging, Institut Gustave Roussy, Université Paris-Saclay. 94800 Villejuif, France.
  • Loic Boussel
    CREATIS, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, Lyon, France; Department of Radiology, Hospices Civils de Lyon, 69500 Lyon, France.