MAGNIMS recommendations for harmonization of MRI data in MS multicenter studies.
Harmonization
MRI
Multiple sclerosis
Journal
NeuroImage. Clinical
ISSN: 2213-1582
Titre abrégé: Neuroimage Clin
Pays: Netherlands
ID NLM: 101597070
Informations de publication
Date de publication:
2022
2022
Historique:
received:
16
07
2021
revised:
22
02
2022
accepted:
23
02
2022
pubmed:
5
3
2022
medline:
20
5
2022
entrez:
4
3
2022
Statut:
ppublish
Résumé
There is an increasing need of sharing harmonized data from large, cooperative studies as this is essential to develop new diagnostic and prognostic biomarkers. In the field of multiple sclerosis (MS), the issue has become of paramount importance due to the need to translate into the clinical setting some of the most recent MRI achievements. However, differences in MRI acquisition parameters, image analysis and data storage across sites, with their potential bias, represent a substantial constraint. This review focuses on the state of the art, recent technical advances, and desirable future developments of the harmonization of acquisition, analysis and storage of large-scale multicentre MRI data of MS cohorts. Huge efforts are currently being made to achieve all the requirements needed to provide harmonized MRI datasets in the MS field, as proper management of large imaging datasets is one of our greatest opportunities and challenges in the coming years. Recommendations based on these achievements will be provided here. Despite the advances that have been made, the complexity of these tasks requires further research by specialized academical centres, with dedicated technical and human resources. Such collective efforts involving different professional figures are of crucial importance to offer to MS patients a personalised management while minimizing consumption of resources.
Identifiants
pubmed: 35245791
pii: S2213-1582(22)00037-7
doi: 10.1016/j.nicl.2022.102972
pmc: PMC8892169
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
102972Informations de copyright
Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.