Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/146745
Title: | MAGNIMS recommendations for harmonization of MRI data in MS multicenter studies |
Author: | De Stefano, Nicola Battaglini, Marco Pareto, Deborah Cortese, Rosa Zhang, Jian Oesingmann, Niels Prados Carrasco, Ferran Rocca, Maria A. Valsasina, Paola Vrenken, Hugo Gandini Wheeler-Kingshott, Claudia A.M. Filippi, Massimo Barkhof, Frederik Rovira, Alex |
Others: | University of Siena Universitat Autònoma de Barcelona (UAB) University College London (UCL) Universitat Oberta de Catalunya Vita-Salute San Raffaele University University of Pavia IRCCS San Raffaele Scientific Institute |
Citation: | De Stefano, N., Battaglini, M., Pareto, D., Cortese, R., Zhang, J., Oesingmann, N., Prados, F., Rocca, M.A., Valsasina, P., Vrenken, H., Wheeler-Kingshott, C., Filippi, M., Barkhof, F. & Rovira, A. (2022). MAGNIMS recommendations for harmonization of MRI data in MS multicenter studies. NeuroImage: Clinical, 34(null), 1-14. doi: 10.1016/j.nicl.2022.102972 |
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. |
Keywords: | MRI harmonization multiple sclerosis |
DOI: | https://www.doi.org/10.1016/j.nicl.2022.102972 |
Document type: | info:eu-repo/semantics/article |
Version: | info:eu-repo/semantics/publishedVersion |
Issue Date: | 2-Apr-2022 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/4.0 |
Appears in Collections: | Articles Articles cientÍfics |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
1-s2.0-S2213158222000377-main.pdf | MAGNIMS recommendations for harmonization of MRI data in MS multicenter studies | 1,08 MB | Adobe PDF | View/Open |
Share:
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.