Atlas iconographique tomodensitométrique des pathologies bénignes de l'amiante [Computed tomographic atlas of benign asbestos related pathology].

Details

Serval ID
serval:BIB_21084F9DF845
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Atlas iconographique tomodensitométrique des pathologies bénignes de l'amiante [Computed tomographic atlas of benign asbestos related pathology].
Journal
Journal de Radiologie
Author(s)
Beigelman-Aubry C., Ferretti G., Mompoint D., Ameille J., Letourneux M., Frija J., Laurent F.
ISSN
0221-0363 (Print)
ISSN-L
0221-0363
Publication state
Published
Issued date
2007
Volume
88
Number
6
Pages
845-862
Language
french
Abstract
The demonstration by computed tomography of abnormalities related to asbestos is essential for the recognition of industrial disease, the compensation of which has considerable economic consequences. The use of compute tomography, the most reliable technique for the detection of pleuro-parenchymatous abnormalities related to asbestos exposure, has increased considerably in France since the publication of the results of a consensus conference in Paris in 1999. Since that time, developments in technology have noticeably modified the protocols of investigation and increased the sensitivity of the detection of pleural and interstitial parenchymatous abnormalities and of nodules. The technical recommendations and those for the interpretation of pleural and parenchymatous abnormalities need to be well known. They are presented in the form of an atlas that gives detailed criteria for asbestosis, pleural plaques and pleural fibrosis. The diagnosis of pleural plaques depends on the combination of clear limits at the pleural and pulmonary interface, typical topography and multiple, bilateral localization. In the context of asbestos exposure the plaques are characteristic of this exposure, unlike diffuse pleural thickening, crow's feet images, parenchymatous bands and entrapped atalectasis. The writing of the radiological report would be most appropriate on this basis.
Keywords
Asbestosis/radiography, Humans, Tomography, X-Ray Computed
Pubmed
Web of science
Create date
31/08/2011 12:46
Last modification date
20/08/2019 12:57
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