放射性成像数据的二次使用:范德比尔特的ImageVU方法
David S Smith1, Karthik Ramadass2, Laura Jones3
1Vanderbit University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Journal of biomedical informatics
|September 12, 2025
概括
ImageVU是一个可扩展的研究成像基础设施,可增强对二级研究的临床数据访问. 它简化了队列发现和数据交付,支持通过安全和合规的成像访问进行翻译性研究.
科学领域:
- 医疗信息学 医疗信息学
- 放射学研究 放射学研究
- 数据基础设施数据基础设施
背景情况:
- 临床成像数据对于研究至关重要,但往往难以获得二次用途.
- 现有的系统可能缺乏可扩展性,效率和研究数据共享的监管合规性.
- 需要整合的基础设施来弥合临床成像和研究工作流程.
研究的目的:
- 开发ImageVU,一个可扩展的研究成像基础设施.
- 为二级研究提供安全,高效和符合监管的临床成像数据访问.
- 为其他机构提供ImageVU组件和经验教训的详细描述.
主要方法:
- ImageVU将临床成像数据与元数据驱动的队列发现集成在一起.
- 关键组件包括一个研究PACS,临时补充主机,云存储和去识别系统.
- 元数据存储在已识别的 (RD) 和未识别的 (SD) 存储库中,可以通过RD Discover网络门户访问.
主要成果:
- ImageVU简化了队列发现,并改善了成像数据的可访问性.
- 在2024年12月之前,从136万项研究 (453,403名患者) 中处理了1290万个MRI/CT系列.
- 支持了75个项目,向55名研究人员提供了50TB的数据,产生了66篇出版物.
结论:
- ImageVU提供了一个可扩展的,高效的方法,将临床成像整合到研究中.
- 该平台将机构数据基础架构与云存储和元数据相结合,以实现安全,合规的研究访问.
- ImageVU通过更容易访问成像数据来促进翻译研究.
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