Literature DB >> 17632435

[Computed tomographic atlas of benign asbestos related pathology].

C Beigelman-Aubry1, G Ferretti, D Mompoint, J Ameille, M Letourneux, F Laurent.   

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 computed 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 CT 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.

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Year:  2007        PMID: 17632435     DOI: 10.1016/s0761-8425(07)91150-x

Source DB:  PubMed          Journal:  Rev Mal Respir        ISSN: 0761-8425            Impact factor:   0.622


  3 in total

1.  Asbestos-related diseases in automobile mechanics.

Authors:  Jacques Ameille; Nicole Rosenberg; Mireille Matrat; Alexis Descatha; Dominique Mompoint; Lounis Hamzi; Catherine Atassi; Manuela Vasile; Robert Garnier; Jean-Claude Pairon
Journal:  Ann Occup Hyg       Date:  2011-09-28

2.  Diagnostic Performance of Ultra-Low-Dose Computed Tomography for Detecting Asbestos-Related Pleuropulmonary Diseases: Prospective Study in a Screening Setting.

Authors:  Marysa Schaal; François Severac; Aissam Labani; Mi-Young Jeung; Catherine Roy; Mickaël Ohana
Journal:  PLoS One       Date:  2016-12-29       Impact factor: 3.240

3.  Deep Learning for the Automatic Quantification of Pleural Plaques in Asbestos-Exposed Subjects.

Authors:  Ilyes Benlala; Baudouin Denis De Senneville; Gael Dournes; Morgane Menant; Celine Gramond; Isabelle Thaon; Bénédicte Clin; Patrick Brochard; Antoine Gislard; Pascal Andujar; Soizick Chammings; Justine Gallet; Aude Lacourt; Fleur Delva; Christophe Paris; Gilbert Ferretti; Jean-Claude Pairon; François Laurent
Journal:  Int J Environ Res Public Health       Date:  2022-01-27       Impact factor: 3.390

  3 in total

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