Wardlaw J M, Bath Philip, Sandercock Peter, Perry David, Palmer Jeb, Watson Graham, Lloyd Sharon, Geddes John, Farrall Andrew
Division of Clinical Neurosciences, University of Edinburgh, Edinburgh, UK.
Int J Stroke. 2007 Feb;2(1):63-9. doi: 10.1111/j.1747-4949.2007.00092.x.
Trials of new treatments for neurological disorders like stroke require imaging as part of the patient assessment, but need to be large enough to obtain reliable results if treatment effects are likely to be modest. However, multicentre trials use many different scanners in different hospitals and present complex problems for image data collection, interpretation and analysis and long-term secure archiving.
NeuroGrid aims to develop and test grid technologies for collecting, analysing and interpreting, and secure archiving of neuroimaging data for large multicentre trials in common neurological and psychiatric disorders.
A 3-year multicentre consortium of clinicians, neuroimaging centres and e-scientists are designing a Grid storage network, mechanisms for uploading, curating and retrieving image and metadata, combining image data from different scanners and an analysis tool box. Three clinical exemplars--stroke, dementia and psychosis--provide the data and 'real-world' clinical trial applications, and a set of specific and typical problems encountered with image data in multicentre trials for NeuroGrid to address. The stroke exemplar is using image data from two multicentre stroke trials: Third International Stroke Trial and Efficacy of Nitric Oxide in Stroke.
The final product is intended to appear as an integrated capability consisting of services, both database and analyses, accessed through simple portals. These will include image submission, automated scan quality control, appropriate metadata linkage, streamlined image review and coding tools and long-term secure storage for future multicentre stroke trials.
针对中风等神经系统疾病的新治疗方法试验需要影像学检查作为患者评估的一部分,但如果治疗效果可能不显著,则试验规模需要足够大才能获得可靠结果。然而,多中心试验在不同医院使用许多不同的扫描仪,在图像数据收集、解读、分析以及长期安全存档方面存在复杂问题。
NeuroGrid旨在开发和测试网格技术,用于收集、分析、解读以及安全存档常见神经和精神疾病大型多中心试验的神经影像数据。
一个由临床医生、神经影像中心和电子科学家组成的为期3年的多中心联盟正在设计一个网格存储网络、上传、管理和检索图像及元数据的机制、整合来自不同扫描仪的图像数据以及一个分析工具箱。三个临床范例——中风、痴呆和精神病——提供数据及“真实世界”的临床试验应用,以及多中心试验中图像数据遇到的一系列特定且典型的问题供NeuroGrid解决。中风范例使用来自两项多中心中风试验(第三次国际中风试验和一氧化氮治疗中风的疗效试验)的图像数据。
最终产品旨在呈现为一种集成功能,由通过简单门户访问的数据库和分析服务组成。这些服务将包括图像提交、自动扫描质量控制、适当的元数据链接、简化的图像审查和编码工具以及为未来多中心中风试验提供长期安全存储。