Estimation of gas and tissue lung volumes by MRI: functional approach of lung imaging.

Détails

ID Serval
serval:BIB_89910647D065
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Estimation of gas and tissue lung volumes by MRI: functional approach of lung imaging.
Périodique
Journal of Computer Assisted Tomography
Auteur(s)
Qanadli S.D., Orvoen-Frija E., Lacombe P., Di Paola R., Bittoun J., Frija G.
ISSN
0363-8715
Statut éditorial
Publié
Date de publication
10/1999
Peer-reviewed
Oui
Volume
23
Numéro
5
Pages
743-8
Langue
anglais
Résumé
PURPOSE: The purpose of this work was to assess the accuracy of MRI for the determination of lung gas and tissue volumes. METHOD: Fifteen healthy subjects underwent MRI of the thorax and pulmonary function tests [vital capacity (VC) and total lung capacity (TLC)] in the supine position. MR examinations were performed at inspiration and expiration. Lung volumes were measured by a previously validated technique on phantoms. Both individual and total lung volumes and capacities were calculated. MRI total vital capacity (VC(MRI)) was compared with spirometric vital capacity (VC(SP)). Capacities were correlated to lung volumes. Tissue volume (V(T)) was estimated as the difference between the total lung volume at full inspiration and the TLC. RESULTS: No significant difference was seen between VC(MRI) and VC(SP). Individual capacities were well correlated (r = 0.9) to static volume at full inspiration. The V(T) was estimated to be 836+/-393 ml. CONCLUSION: This preliminary study demonstrates that MRI can accurately estimate lung gas and tissue volumes. The proposed approach appears well suited for functional imaging of the lung.
Mots-clé
Adult, Female, Humans, Linear Models, Lung/anatomy & histology, Lung/physiology, Lung Volume Measurements/instrumentation, Lung Volume Measurements/methods, Magnetic Resonance Imaging/instrumentation, Magnetic Resonance Imaging/methods, Male, Phantoms, Imaging/statistics & numerical data, Reference Values, Statistics, Nonparametric
Pubmed
Web of science
Création de la notice
09/04/2008 16:12
Dernière modification de la notice
20/08/2019 14:48
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