Developing an integrated image bank and metadata for large-scale research in cerebrovascular disease: our experience from the Stroke Image Bank Project

Danso, S. O., Job, D. E., Gonzalez, D. R., Dickie, D. A. , Palmer, J., Ure, J., Bath, P. M., Sandercock, P. A. G. and Wardlaw, J. M. (2016) Developing an integrated image bank and metadata for large-scale research in cerebrovascular disease: our experience from the Stroke Image Bank Project. Frontiers in ICT, 3, 32. (doi: 10.3389/fict.2016.00032)

186952.pdf - Published Version
Available under License Creative Commons Attribution.



A framework for building an infrastructure that semantically integrates, archives, and reuses data for various research purposes in human brain imaging remains critical. In particular, problems of aligning technical, clinical, and professional systems in order to facilitate data sharing are a recurring issue in brain imaging. However, large samples of well-characterized images with detailed metadata are increasingly needed. This paper outlines the experience of the NeuroGrid Stroke Exemplar and further work in the Brain Research Imaging Centre and Stroke Trials Unit in developing an infrastructure that facilitates the linkage, archiving, and reuse of imaging data from stroke patients for large-scale clinical and epidemiological studies. We examined data from 12 past stroke projects carried out over the past two decades in our center and two large trials with 329 centers. We assessed previously published schemas and those developed specifically for large multicentre ischemic and hemorrhagic stroke treatment trials. We then developed our own harmonized and integrated schema and database with a web-based interface system, Longitudinal Online Research and Imaging System (LORIS), aiming to be flexible and adaptable to future trials and observational studies. We then linked image and metadata from 3,079 patients acquired in stroke research in one center in a 14-year period (1996–2010) with prospective central hospital health statistics to obtain long-term follow-up. Our integrated database includes 3,079 subjects and over 550 federated and searchable data items including imaging details, medical history, and examination, stroke, and laboratory details, which map to large multicentre stroke trials with imaging data from over 10,000 patients from 30 countries. The central linkage identified 879 of 3,079 patients had died, 525 had recurrent strokes, and 291 developed dementia during up to a 19-year period (range = 0–19; median = 9.04; IQR = 12.17) of follow-up, demonstrating its utility. The core metadata schema has benefited from extensive development in large clinical trials. Further trials’ data can now be added. It provides an opportunity to crosslink and reuse data for a range of large-scale stroke brain imaging clinical and research purposes including developing data analytics models for research into common brain diseases and their consequences.

Item Type:Articles
Additional Information:The Medical Research Council (Grant Ref no: GO600623 ID number 77729) for the NeuroGrid project. The SINAPSE Collaboration (Scottish Imaging Network, A Platform for Scientific Excellence, through the Scottish Funding Council part funded JW. PB is Stroke Association Professor of Stroke Medicine and a NIHR Senior Investigator. This work was further supported by INNOVATE-UK (reference 102167) for the vascular linkage project. Also, as part of this work, SD received additional funding from Scottish Funding Council through the SINAPSE Postdoctoral and Early Career Researcher Exchange programme, which enabled him to visit Harvard Medical School, USA. ENOS was funded by the Bupa Foundation and Medical Research Council. The IST-3 trial was funded by the following agencies: the Australian Heart Foundation (Australian, grant number G 04S 1638); Australian NHMRC (grant number 457343); Danube University (Austria); the Dalhousie University Internal Medicine Research Fund (Canada); Norwegian Research Council (Norway); Polish Ministry of Science and Education (Poland, grant number 2PO5B10928); AFA Insurances (Sweden), the Swedish Heart Lung Fund (Sweden), Karolinska Institutet (Sweden), Stockholm County Council and Karolinska Institute Joint ALF-project grants (Sweden); Swiss National Science Foundation (Switzerland); Swiss Heart Foundation (Switzerland); The Foundation of Marianne and Marcus Wallenberg (Sweden); Foundation for health and cardio-/neurovascular research (Switzerland); the Medical Research Council (UK, grant numbers G0400069 and EME 09-800-15), The Health Foundation (UK), The Stroke Association (UK); DeSACC (UK); The University of Edinburgh (UK): The Lothian Health Board (UK); The Assessorato alla Sanita (Italy).
Glasgow Author(s) Enlighten ID:Dickie, Dr David Alexander
Authors: Danso, S. O., Job, D. E., Gonzalez, D. R., Dickie, D. A., Palmer, J., Ure, J., Bath, P. M., Sandercock, P. A. G., and Wardlaw, J. M.
College/School:College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health
Journal Name:Frontiers in ICT
Publisher:Frontiers Media
ISSN (Online):2297-198X
Copyright Holders:Copyright © 2016 Danso, Job, Gonzalez, Dickie, Palmer, Ure, Bath, Sandercock and Wardlaw
First Published:First published in Frontiers in ICT 3:32
Publisher Policy:Reproduced under a Creative Commons License

University Staff: Request a correction | Enlighten Editors: Update this record