Emory University School of Medicine, Atlanta, GA.
University of Arkansas for Medical Sciences, Little Rock, AR.
JCO Clin Cancer Inform. 2020 Jun;4:491-499. doi: 10.1200/CCI.20.00001.
Precision medicine requires an understanding of individual variability, which can only be acquired from large data collections such as those supported by the Cancer Imaging Archive (TCIA). We have undertaken a program to extend the types of data TCIA can support. This, in turn, will enable TCIA to play a key role in precision medicine research by collecting and disseminating high-quality, state-of-the-art, quantitative imaging data that meet the evolving needs of the cancer research community.
A modular technology platform is presented that would allow existing data resources, such as TCIA, to evolve into a comprehensive data resource that meets the needs of users engaged in translational research for imaging-based precision medicine. This Platform for Imaging in Precision Medicine (PRISM) helps streamline the deployment and improve TCIA's efficiency and sustainability. More importantly, its inherent modular architecture facilitates a piecemeal adoption by other data repositories.
PRISM includes services for managing radiology and pathology images and features and associated clinical data. A semantic layer is being built to help users explore diverse collections and pool data sets to create specialized cohorts. PRISM includes tools for image curation and de-identification. It includes image visualization and feature exploration tools. The entire platform is distributed as a series of containerized microservices with representational state transfer interfaces.
PRISM is helping modernize, scale, and sustain the technology stack that powers TCIA. Repositories can take advantage of individual PRISM services such as de-identification and quality control. PRISM is helping scale image informatics for cancer research at a time when the size, complexity, and demands to integrate image data with other precision medicine data-intensive commons are mounting.
精准医学需要了解个体差异，而这只能通过癌症成像档案（Cancer Imaging Archive，TCIA）等大型数据集来获得。我们已经启动了一个项目，旨在扩展 TCIA 能够支持的数据类型。这反过来又使 TCIA 能够通过收集和传播满足癌症研究界不断发展需求的高质量、最先进的定量成像数据，在精准医学研究中发挥关键作用。
提出了一种模块化技术平台，该平台将使现有的数据资源（如 TCIA）演变为一个全面的数据资源，以满足从事基于成像的精准医学转化研究的用户的需求。这个名为“精准医学成像平台（PRISM）”的平台有助于简化部署并提高 TCIA 的效率和可持续性。更重要的是，其固有的模块化架构便于其他数据存储库逐步采用。
PRISM 包括管理放射学和病理学图像以及特征和相关临床数据的服务。正在构建一个语义层，以帮助用户探索不同的数据集并汇集数据集，以创建专门的队列。PRISM 包括图像策展和去识别工具。它还包括图像可视化和特征探索工具。整个平台以一系列具有代表性状态转移接口的容器化微服务形式分发。
PRISM 正在帮助 TCIA 所使用的技术堆栈实现现代化、规模化和可持续发展。存储库可以利用 PRISM 的个别服务，如去识别和质量控制。在需要将图像数据与其他精准医学数据密集型公共资源集成的规模、复杂性和需求不断增加的情况下，PRISM 正在帮助扩展癌症研究的图像信息学。
