[Computer instruments for the management of isolated pulmonary nodule. Detectability and prediction of malignancy].

Journal: Revue medicale suisse
Published Date:

Abstract

Lung cancer remains the most common cause of cancer deaths in the world, but its mortality can be significantly reduced by diagnosis and early detection. Computerized resources were developed to assist radiologists in their management of the large volume of thoracic images to be analyzed. Their objective is the detection of pulmonary nodules with high sensitivity and a low rate of false-positives and the ability to differentiate benign and malignant nodules. The volume of a pulmonary nodule and its volume doubling time are essential to nodule management. Computer aided detection or diagnosis (CAD) software are not currently used in clinically settings on a routine basis . Significant advances are expected due to the implementation of the artificial intelligence systems who will probably be integrated into the multidisciplinary management of any pulmonary nodule.

Authors

  • Petrut Vremaroiu
    Service de pneumologie, CHUV, 1011 Lausanne.
  • Guillaume Chassagnon
    Department of Radiology, Hopital Cochin, APHP, 75014 Paris, France; Université Paris Cité, 75006 Paris, France.
  • Alessio Casutt
    Service de pneumologie, CHUV, 1011 Lausanne.
  • Leslie Noirez
    Service de pneumologie, CHUV, 1011 Lausanne.
  • Maurizio Bernasconi
    Service de pneumologie, Ente Ospedaliero Cantonale, 6500 Bellinzona.
  • Nicolas Villard
    Service de radiologie, CHUV, 1011 Lausanne.
  • Laurent Nicod
    Service de pneumologie, CHUV, 1011 Lausanne.
  • Catherine Beigelman-Aubry
    Service de radiologie, CHUV, 1011 Lausanne.
  • Alban Lovis
    Service de pneumologie, CHUV, 1011 Lausanne.