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METHODS article

Front. Neuroinform.
Volume 18 - 2024 | doi: 10.3389/fninf.2024.1508161
This article is part of the Research Topic Women in Neuroinformatics 2024 View all 3 articles

The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: Rationale and blueprint

Provisionally accepted
Hakim Baazaoui Hakim Baazaoui 1Stefan Engelter Stefan Engelter 2,3,4Henrik Gensicke Henrik Gensicke 2,3,4Lukas S Enz Lukas S Enz 3,4Marios Psychogios Marios Psychogios 4,5Matthias Muttke Matthias Muttke 4,5Patrik Michel Patrik Michel 6Davide Strambo Davide Strambo 6Alexander Salerno Alexander Salerno 6Henk A Marquering Henk A Marquering 7Paul J Nederkoorn Paul J Nederkoorn 8Nabila Wali Nabila Wali 8Stephanie Tanadini-Lang Stephanie Tanadini-Lang 9Björn Menze Björn Menze 10Ezequiel de la Rosa Ezequiel de la Rosa 10Kaiyuan Yang Kaiyuan Yang 10Gian Marco De Marchis Gian Marco De Marchis 11,4Tolga D Dittrich Tolga D Dittrich 11,4Francesco Valletta Francesco Valletta 11,12Manon Germann Manon Germann 13Carlo W. Cereda Carlo W. Cereda 14João Pedro Marto João Pedro Marto 15Lisa Herzog Lisa Herzog 16Patrick Hirschi Patrick Hirschi 17Zsolt Kulcsar Zsolt Kulcsar 18Susanne Wegener Susanne Wegener 16,19*
  • 1 University Hospital Zürich, Zurich, Switzerland
  • 2 University Geriatric Medicine FELIX PLATTER, Basel, Switzerland
  • 3 Brain Stroke Center, Department of Neurology, University Hospital of Basel, Basel, Switzerland
  • 4 Department of Clinical Research, University Hospital of Basel, Basel, Basel-Stadt, Switzerland
  • 5 Division of Diagnostic and Interventional Neuroradiology, University Hospital of Basel, Basel, Switzerland
  • 6 Stroke Center, Neurology Service, Department of Neurological Sciences, Lausanne University Hospital, Lausanne, Geneva, Switzerland
  • 7 Radiology and Nuclear Medicine / Biomedical Engineering and Physics, Amsterdam University Medical Center, Amsterdam, Netherlands
  • 8 Department of Neurology, Amsterdam University Medical Center, Amsterdam, Netherlands
  • 9 Department of Radiation Oncology, University Hospital Zürich, Zurich, Zürich, Switzerland
  • 10 Department of Quantitative Biomedicine, Faculty of Medicine, University of Zurich, Zurich, Zurich, Switzerland
  • 11 Department of Neurology and Stroke Center, Cantonal Hospital St.Gallen, St. Gallen, St. Gallen, Switzerland
  • 12 DAI di Neuroscienze, Integrated University Hospital Verona, Verona, Veneto, Italy
  • 13 Department of Radiology, Cantonal Hospital St.Gallen, St. Gallen, St. Gallen, Switzerland
  • 14 Stroke Center EOC, Neurocenter of Southern Switzerland, Lugano Regional Hospital, Lugano, Ticino, Switzerland
  • 15 Department of Neurology, Hospital de Egas Moniz, Lisbon, Portugal
  • 16 Department of Neurology, University Hospital Zürich, Zurich, Zürich, Switzerland
  • 17 Clinical Data Platform for Research, University Hospital Zürich, Zurich, Zürich, Switzerland
  • 18 Department of Neuroradiology, University Hospital Zürich, Zurich, Zürich, Switzerland
  • 19 Center for Neuroscience Zurich, University of Zurich, Zürich, Zürich, Switzerland

The final, formatted version of the article will be published soon.

    The 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.Participants: All 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 at a safe server at the University Hospital Zurich. There, patient identifiers are removed and images are algorithmically de-faced. Deidentified 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 setup: Initially, 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.Outlook: Our 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.

    Keywords: ischemic stroke, Neuroimaging, data sharing, Neurology, collaboration, repository

    Received: 08 Oct 2024; Accepted: 23 Dec 2024.

    Copyright: © 2024 Baazaoui, Engelter, Gensicke, Enz, Psychogios, Muttke, Michel, Strambo, Salerno, Marquering, Nederkoorn, Wali, Tanadini-Lang, Menze, de la Rosa, Yang, De Marchis, Dittrich, Valletta, Germann, Cereda, Marto, Herzog, Hirschi, Kulcsar and Wegener. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Susanne Wegener, Department of Neurology, University Hospital Zürich, Zurich, 8091, Zürich, Switzerland

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.