MR Volumetry of Lung Nodules: A Pilot Study.

Détails

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Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_EBF380254351
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
MR Volumetry of Lung Nodules: A Pilot Study.
Périodique
Frontiers in medicine
Auteur(s)
Delacoste J., Dunet V., Dournes G., Lovis A., Rohner C., Elandoy C., Simons J., Long O., Piccini D., Stuber M., Prior J.O., Nicod L., Beigelman-Aubry C.
ISSN
2296-858X (Print)
ISSN-L
2296-858X
Statut éditorial
Publié
Date de publication
2019
Peer-reviewed
Oui
Volume
6
Pages
18
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: epublish
Résumé
Introduction: Computed tomography (CT) is currently the reference modality for the detection and follow-up of pulmonary nodules. While 2D measurements are commonly used in clinical practice to assess growth, increasingly 3D volume measurements are being recommended. The goal of this pilot study was to evaluate preliminarily the capabilities of 3D MRI using ultra-short echo time for lung nodule volumetry, as it would provide a radiation-free modality for this task. Material and Methods: Artificial nodules were manufactured out of Agar and measured using an ultra-short echo time MRI sequence. CT data were also acquired as a reference. Image segmentation was carried out using an algorithm based on signal intensity thresholding (SIT). For comparison purposes, we also performed manual slice by slice segmentation. Volumes obtained with MRI and CT were compared. Finally, the volumetry of a lung nodule was evaluated in one human subject in comparison with CT. Results: Using the SIT technique, minimal bias was observed between CT and MRI across the entire range of volumes (2%) with limits of agreement below 14%. Comparison of manually segmented MRI and CT resulted in a larger bias (8%) and wider limits of agreement (-23% to 40%). In vivo, nodule volume differed of <16% between modalities with the SIT technique. Conclusion: This pilot study showed very good concordance between CT and UTE-MRI to quantify lung nodule volumes, in both a phantom and human setting. Our results enhance the potential of MRI to quantify pulmonary nodule volume with similar performance to CT.
Mots-clé
MRI, UTE, lung, nodules, segmentation, volumetry
Pubmed
Web of science
Open Access
Oui
Création de la notice
04/03/2019 18:18
Dernière modification de la notice
20/08/2019 17:14
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