Evaluation d'un système de détection assisté par ordinateur des nodules parenchymateux pulmonaires avec verre dépoli au scanner multidétecteur [Evaluation of a computer aided detection system for lung nodules with ground glass opacity component on multidetector-row CT].

Details

Serval ID
serval:BIB_89DA96C940FF
Type
Article: article from journal or magazin.
Collection
Publications
Title
Evaluation d'un système de détection assisté par ordinateur des nodules parenchymateux pulmonaires avec verre dépoli au scanner multidétecteur [Evaluation of a computer aided detection system for lung nodules with ground glass opacity component on multidetector-row CT].
Journal
Journal de Radiologie
Author(s)
Beigelman-Aubry C., Hill C., Boulanger X., Brun A., Leclercq D., Golmard J., Grenier P., Lucidarme O.
ISSN
0221-0363 (Print)
ISSN-L
0221-0363
Publication state
Published
Issued date
2009
Volume
90
Number
12
Pages
1843-1849
Language
french
Notes
Publication types: Clinical Trial ; Comparative Study ; English Abstract ; Journal Article
Abstract
PURPOSE: To determine the performance of a CAD system for lung nodules with ground glass opacity component on multidetector-row CT. Materials and methods. The CT examinations of 17 patients with at least one persistent subsolid nodule were reviewed. A first non-blinded consensus review by two expert radiologists resulted in the detection of 104 subsolid nodules larger than 3 mm (74 nodules of ground glass attenuation and 30 mixed nodules with solid and ground glass components). The results from this review were used as a gold standard to determine the performances of the CAD system and 3 independent clinical radiologists involved with the primary interpretations. RESULTS: The sensitivity of the CAD system for the detection of ground glass opacities and mixed nodules was 53% and 73% respectively. These values were not statistically different from the values for the 3 independent observers (42-66% for ground glass opacities and 63-80% for mixed nodules). The sensitivity of each observer significantly increased when the nodules detected by the CAD system were added to those detected by each observer (p<0.0001). CONCLUSION: A CAD system has a potential impact on the detection rate of subsolid nodules by radiologists.
Keywords
Adult, Aged, Female, Humans, Male, Middle Aged, Multiple Pulmonary Nodules/radiography, Radiographic Image Interpretation, Computer-Assisted, Tomography, X-Ray Computed/methods
Pubmed
Web of science
Create date
31/08/2011 12:46
Last modification date
20/08/2019 14:48
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