Optimizing 3D FLAIR to detect MS lesions: pushing past factory settings for precise results.
Diagnosis
Diagnostic imaging
Magnetic resonance imaging
Multiple sclerosis
Journal
Journal of neurology
ISSN: 1432-1459
Titre abrégé: J Neurol
Pays: Germany
ID NLM: 0423161
Informations de publication
Date de publication:
Nov 2019
Nov 2019
Historique:
received:
13
05
2019
accepted:
28
07
2019
revised:
15
07
2019
pubmed:
3
8
2019
medline:
21
3
2020
entrez:
3
8
2019
Statut:
ppublish
Résumé
To assess the diagnostic value of three 3D FLAIR sequences with differing repetition-times (TR) at 3-Tesla when detecting multiple sclerosis (MS) lesions. In this prospective study, approved by the institutional review board, 27 patients with confirmed MS were prospectively included. One radiologist performed manual segmentations of all high-signal intensity lesions using three 3D FLAIR data sets with different TR of 4800 ms ("FLAIR The FLAIR
Sections du résumé
BACKGROUND
BACKGROUND
To assess the diagnostic value of three 3D FLAIR sequences with differing repetition-times (TR) at 3-Tesla when detecting multiple sclerosis (MS) lesions.
METHODS
METHODS
In this prospective study, approved by the institutional review board, 27 patients with confirmed MS were prospectively included. One radiologist performed manual segmentations of all high-signal intensity lesions using three 3D FLAIR data sets with different TR of 4800 ms ("FLAIR
RESULTS
RESULTS
The FLAIR
Identifiants
pubmed: 31372735
doi: 10.1007/s00415-019-09490-y
pii: 10.1007/s00415-019-09490-y
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
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