dc.contributor
Institut Català de la Salut
dc.contributor
[De Stefano N, Battaglini M, Cortese R, Zhang J] Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy. [Pareto D, Rovira A] Secció de Neuroradiologia, Servei de Radiologia, Vall d'Hebron Hospital Universitari, Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra, Spain. [Oesingmann N] UK Biobank Stockport, Cheshire, United Kingdom
dc.contributor
Vall d'Hebron Barcelona Hospital Campus
dc.contributor.author
Battaglini, Marco
dc.contributor.author
Pareto Onghena, Deborah
dc.contributor.author
Zhang, Jian
dc.contributor.author
Oesingmann, Niels
dc.contributor.author
Rovira Cañellas, Alex
dc.contributor.author
De Stefano, Nicola
dc.contributor.author
Cortese, Rosa
dc.date.accessioned
2025-10-24T10:37:22Z
dc.date.available
2025-10-24T10:37:22Z
dc.date.issued
2022-07-22T12:56:14Z
dc.date.issued
2022-07-22T12:56:14Z
dc.identifier
De Stefano N, Battaglini M, Pareto D, Cortese R, Zhang J, Oesingmann N, et al. MAGNIMS recommendations for harmonization of MRI data in MS multicenter studies. NeuroImage Clin. 2022;34:102972.
dc.identifier
https://hdl.handle.net/11351/7906
dc.identifier
10.1016/j.nicl.2022.102972
dc.identifier
000784302000002
dc.identifier.uri
https://hdl.handle.net/11351/7906
dc.description.abstract
Harmonization; MRI; Multiple sclerosis
dc.description.abstract
Harmonització; Ressonància magnètica; Esclerosi múltiple
dc.description.abstract
Armonización; Resonancia magnética; Esclerosis múltiple
dc.description.abstract
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.
dc.format
application/pdf
dc.relation
NeuroImage: Clinical;34
dc.relation
https://doi.org/10.1016/j.nicl.2022.102972
dc.rights
Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Esclerosi múltiple - Imatgeria per ressonància magnètica
dc.subject
Imatges - Anàlisi
dc.subject
DISEASES::Nervous System Diseases::Autoimmune Diseases of the Nervous System::Demyelinating Autoimmune Diseases, CNS::Multiple Sclerosis
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Other subheadings::Other subheadings::Other subheadings::/diagnostic imaging
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ENFERMEDADES::enfermedades del sistema nervioso::enfermedades autoinmunitarias del sistema nervioso::enfermedades autoinmunes desmielinizantes del SNC::esclerosis múltiple
dc.subject
Otros calificadores::Otros calificadores::Otros calificadores::/diagnóstico por imagen
dc.title
MAGNIMS recommendations for harmonization of MRI data in MS multicenter studies
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion