Automated detection of white matter and cortical lesions in early stages of multiple sclerosis.

Détails

ID Serval
serval:BIB_C055F759C1ED
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Automated detection of white matter and cortical lesions in early stages of multiple sclerosis.
Périodique
Journal of magnetic resonance imaging
Auteur(s)
Fartaria M.J., Bonnier G., Roche A., Kober T., Meuli R., Rotzinger D., Frackowiak R., Schluep M., Du Pasquier R., Thiran J.P., Krueger G., Bach Cuadra M., Granziera C.
ISSN
1522-2586 (Electronic)
ISSN-L
1053-1807
Statut éditorial
Publié
Date de publication
06/2016
Peer-reviewed
Oui
Volume
43
Numéro
6
Pages
1445-1454
Langue
anglais
Notes
Publication types: Evaluation Studies ; Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
To develop a method to automatically detect multiple sclerosis (MS) lesions, located both in white matter (WM) and in the cortex, in patients with low disability and early disease stage.
We developed a lesion detection method, based on the k-nearest neighbor (k-NN) technique, to detect lesions as small as 0.0036 mL. This method uses the image intensity information from up to four different 3D magnetic resonance imaging (MRI) sequences (magnetization-prepared rapid gradient-echo, MPRAGE; magnetization-prepared two inversion-contrast rapid gradient-echo, MP2RAGE; 3D fluid-attenuated inversion recovery, FLAIR; and 3D double-inversion recovery, DIR), acquired on a 3T scanner. To these intensity features we added the information obtained by the spatial coordinates and tissue prior probabilities provided by the International Consortium for Brain Mapping (ICBM). Quantitative assessment was done in 39 early-stage MS patients with a "leave-one-out" cross-validation.
The best lesion detection rate (DR) performance in WM was obtained using MP2RAGE, FLAIR, and DIR intensities (77% for lesions ≥0.0036 mL; 85% for lesions ≥0.005 mL). Similar results were obtained excluding the DIR intensity as well as when using only MPRAGE and FLAIR (DR = 75%, P = 0.5720). However, the combination of FLAIR with DIR and MP2RAGE appeared to be the best for detecting cortical lesions (DR = 62%), compared to the other combination of sequences (P < 0.001).
For WM lesion detection, similar results were observed when only conventional clinical sequences (FLAIR, MPRAGE) were used compared to a combination of conventional and "advanced" sequences (MP2RAGE, DIR). Cortical lesion detection increased significantly when "advanced" sequences were used. J. Magn. Reson. Imaging 2015. J. Magn. Reson. Imaging 2016;43:1445-1454.

Mots-clé
Adult, Cerebral Cortex/diagnostic imaging, Cerebral Cortex/pathology, Diffusion Tensor Imaging/methods, Disease Progression, Early Diagnosis, Female, Humans, Image Interpretation, Computer-Assisted/methods, Imaging, Three-Dimensional/methods, Machine Learning, Male, Multiple Sclerosis/diagnostic imaging, Multiple Sclerosis/pathology, Pattern Recognition, Automated/methods, Reproducibility of Results, Sensitivity and Specificity, White Matter/diagnostic imaging, White Matter/pathology, cortical lesions, lesion detection, magnetic resonance imaging, multiple sclerosis
Pubmed
Web of science
Création de la notice
22/03/2016 16:40
Dernière modification de la notice
20/08/2019 15:34
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