Magnetic resonance imaging in multiple sclerosis animal models: A systematic review, meta-analysis, and white paper.
Animal models
Guidelines
Magnetic resonance imaging (MRI)
Meta-analysis
Multiple sclerosis (MS)
Systematic review
Journal
NeuroImage. Clinical
ISSN: 2213-1582
Titre abrégé: Neuroimage Clin
Pays: Netherlands
ID NLM: 101597070
Informations de publication
Date de publication:
2020
2020
Historique:
received:
07
04
2020
revised:
30
07
2020
accepted:
31
07
2020
pubmed:
21
8
2020
medline:
24
6
2021
entrez:
21
8
2020
Statut:
ppublish
Résumé
Magnetic resonance imaging (MRI) is the most important paraclinical tool for assessing drug response in multiple sclerosis (MS) clinical trials. As such, MRI has also been widely used in preclinical research to investigate drug efficacy and pathogenic aspects in MS animal models. Keeping track of all published preclinical imaging studies, and possible new therapeutic approaches, has become difficult considering the abundance of studies. Moreover, comparisons between studies are hampered by methodological differences, especially since small differences in an MRI protocol can lead to large differences in tissue contrast. We therefore provide a comprehensive qualitative overview of preclinical MRI studies in the field of neuroinflammatory and demyelinating diseases, aiming to summarize experimental setup, MRI methodology, and risk of bias. We also provide estimates of the effects of tested therapeutic interventions by a meta-analysis. Finally, to improve the standardization of preclinical experiments, we propose guidelines on technical aspects of MRI and reporting that can serve as a framework for future preclinical studies using MRI in MS animal models. By implementing these guidelines, clinical translation of findings will be facilitated, and could possibly reduce experimental animal numbers.
Identifiants
pubmed: 32818883
pii: S2213-1582(20)30208-4
doi: 10.1016/j.nicl.2020.102371
pmc: PMC7451445
pii:
doi:
Types de publication
Journal Article
Meta-Analysis
Research Support, N.I.H., Intramural
Research Support, Non-U.S. Gov't
Systematic Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
102371Informations de copyright
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.
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