AUTHOR=Baazaoui Hakim , Engelter Stefan T. , Gensicke Henrik , Enz Lukas S. , Psychogios Marios , Mutke Matthias , Michel Patrik , Strambo Davide , Salerno Alexander , Marquering Henk A. , Nederkoorn Paul J. , Wali Nabila , Tanadini-Lang Stephanie , Menze Björn , de la Rosa Ezequiel , Yang Kaiyuan , De Marchis Gian Marco , Dittrich Tolga D. , Valletta Francesco , Germann Manon , Cereda Carlo W. , Marto João Pedro , Herzog Lisa , Hirschi Patrick , Kulcsar Zsolt , Wegener Susanne 

TITLE=The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint

JOURNAL=Frontiers in Neuroinformatics

VOLUME=Volume 18 - 2024

YEAR=2025

URL=https://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/fninf.2024.1508161

DOI=10.3389/fninf.2024.1508161

ISSN=1662-5196

ABSTRACT=PurposeThe Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository is a collaboration established in 2024 by seven stroke centres in Europe. MAGIC consolidates clinical and radiological data from acute ischemic stroke (AIS) patients who underwent endovascular therapy, intravenous thrombolysis, a combination of both, or conservative management.ParticipantsAll centres ensure accuracy and completeness of the data. Only patients who did not refuse use of their routine data collected during or after their hospital stay are included in the repository. Approvals or waivers are obtained from the responsible ethics committees before data exchange. A formal data transfer agreement (DTA) is signed by all contributing centres. The centres then share their data, and files are stored centrally on a safe server at the University Hospital Zurich. There, patient identifiers are removed and images are algorithmically de-faced. De-identified structured clinical data are connected to the imaging data by a new identifier. Data are made available to participating centres which have entered into a DTA for stroke research projects.Repository setupInitially, MAGIC is set to comprise initial and first follow-up imaging of 2,500 AIS patients. Clinical data consist of a comprehensive set of patient characteristics and routine prehospital metrics, treatment and laboratory variables.OutlookOur repository will support research by leveraging the entire range of routinely collected imaging and clinical data. This dataset reflects the current state of practice in stroke patient evaluation and management and will enable researchers to retrospectively study clinically relevant questions outside the scope of randomized controlled clinical trials. New centres are invited to join MAGIC if they meet the requirements outlined here. We aim to reach approximately 10,000 cases by 2026.