Improved detection of juxtacortical lesions using highly accelerated double inversion-recovery MRI in patients with multiple sclerosis.
Double inversion recovery
Iterative denoising
Juxtacortical lesions
Magnetic resonance imaging
Multiple sclerosis
Journal
Diagnostic and interventional imaging
ISSN: 2211-5684
Titre abrégé: Diagn Interv Imaging
Pays: France
ID NLM: 101568499
Informations de publication
Date de publication:
Sep 2023
Sep 2023
Historique:
received:
24
02
2023
revised:
13
04
2023
accepted:
27
04
2023
medline:
29
8
2023
pubmed:
9
5
2023
entrez:
8
5
2023
Statut:
ppublish
Résumé
The purpose of this study was to compare a highly-accelerated double inversion recovery (fast-DIR) sequence using a recent parallel imaging technique (CAIPIRINHA) with a conventional DIR (conv-DIR) sequence for image quality and the detection of juxtacortical and infratentorial multiple sclerosis (MS) lesions. A total of 38 patients with MS who underwent brain MRI at 3 T between 2020 and 2021 were included. There were 27 women and 12 men with a mean age of 40 ± 12.8 (standard deviation) years (range: 20-59 years). All patients underwent conv-DIR sequence and fast-DIR sequence. Fast-DIR was obtained with a T Thirty-eight patients were analyzed. Fast-DIR imaging allowed detection of 289 juxtacortical lesions vs. 238 with conv-DIR, corresponding to a significant improved detection rate with fast-DIR (P < 0.001). Conversely, 117 infratentorial lesions were detected with conv-DIR sequence vs. 80 with fast-DIR sequence (P < 0.001). Inter-observer agreement for lesion detection with fast-DIR and conv-DIR was very high (Lin concordance correlation coefficient ranging between 0.86 and 0.96). Fast-DIR improves the detection of juxtacortical MS lesions, but is limited for the detection of infratentorial MS lesions.
Identifiants
pubmed: 37156721
pii: S2211-5684(23)00096-7
doi: 10.1016/j.diii.2023.04.009
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
401-409Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2023 Société française de radiologie. Published by Elsevier Masson SAS. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest Aurélien Massire is an employee of Siemens Healthcare SAS and Alto Stemmer is an employee of Siemens Healthcare GmbH. The remaining authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.