Multi-detector row CT and postprocessing techniques in the assessment of diffuse lung disease.

Détails

ID Serval
serval:BIB_46299980AE73
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Multi-detector row CT and postprocessing techniques in the assessment of diffuse lung disease.
Périodique
Radiographics
Auteur⸱e⸱s
Beigelman-Aubry C., Hill C., Guibal A., Savatovsky J., Grenier P.A.
ISSN
1527-1323 (Electronic)
ISSN-L
0271-5333
Statut éditorial
Publié
Date de publication
2005
Volume
25
Numéro
6
Pages
1639-1652
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
Many acute and chronic lung diseases are characterized by diffuse infiltration of the lung parenchyma. High-resolution computed tomography (CT) has been widely accepted as the imaging standard of reference for the assessment of these diseases. However, only approximately 10% of the lung parenchyma is scanned with high-resolution CT, and characteristic foci of disease may be missed. With use of the established characteristic high-resolution CT patterns, multi-detector row chest CT has revolutionized the evaluation of diffuse lung disease. Multi-detector row CT generates isotropic volumetric high-resolution data, allowing contiguous three-dimensional (3D) visualization of the lung parenchyma, with the capacity to create high-quality two-dimensional (2D) and 3D reformatted images. Minimum intensity projection is the postprocessing technique of choice for the detection and characterization of most patterns of diffuse lung disease. Maximum intensity projection (MIP) allows the detection and characterization of micronodules; the recognition of enlarged pulmonary veins, which is extremely useful in the diagnosis of pulmonary edema and the assessment of mosaic perfusion; and differentiation between perilymphatic, miliary, and centrilobular distribution. MIP can also help differentiate between constrictive bronchiolitis and mixed emphysema. Two-dimensional reformatted images are now of equal importance with the 2D axial images in diagnosing specific diffuse lung diseases. In the future, 3D reformatted images may be used to help quantify these disorders.
Mots-clé
Adult, Aged, Aged, 80 and over, Female, Humans, Image Processing, Computer-Assisted, Lung Diseases/radiography, Male, Middle Aged, Tomography, X-Ray Computed/methods
Pubmed
Web of science
Création de la notice
31/08/2011 13:46
Dernière modification de la notice
20/08/2019 14:51
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