Outils informatiques pour la prise en charge du nodule pulmonaire isolé - Détectabilité et prédiction de malignité [Computer instruments for the management of isolated pulmonary nodule. Detectability and prediction of malignancy]

Details

Serval ID
serval:BIB_2CF2EB4DA7DA
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Outils informatiques pour la prise en charge du nodule pulmonaire isolé - Détectabilité et prédiction de malignité [Computer instruments for the management of isolated pulmonary nodule. Detectability and prediction of malignancy]
Journal
Revue medicale suisse
Author(s)
Vremaroiu P., Chassagnon G., Casutt A., Noirez L., Bernasconi M., Villard N., Nicod L., Beigelman-Aubry C., Lovis A.
ISSN
1660-9379 (Print)
ISSN-L
1660-9379
Publication state
Published
Issued date
13/11/2019
Peer-reviewed
Oui
Volume
15
Number
671
Pages
2092-2097
Language
french
Notes
Publication types: English Abstract ; Journal Article
Publication Status: ppublish
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.
Pubmed
Create date
20/11/2019 22:52
Last modification date
16/10/2020 5:34
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