Lung image database consortium: Developing a resource for the medical imaging research community
Lung image database consortium: Developing a resource for the medical imaging research community
复制标题
DOI：
10.1148/radiol.2323032035
复制
发表时间：
2004-09-01
期刊：
影响因子：
19.7
通讯作者：
Clarke, LP
中科院分区：
文献类型：
--
作者：
Armato, SG;McLennan, G;Clarke, LP
为了促进胸部计算机断层扫描 (CT) 中肺结节的计算机辅助诊断 (CAD) 研究的进步，美国国家癌症研究所发起了一项名为肺图像数据库联盟 (LIDC) 的合作项目。 LIDC 由来自美国各地的五个学术机构组成，它们正在共同开发一个图像数据库，该数据库将作为开发、培训和评估 CT 扫描肺结节检测 CAD 方法的国际研究资源。在收集 CT 图像和相关患者数据之前，LIDC 已参与共识流程，以识别、解决和解决一系列具有挑战性的技术和临床问题，为科学稳健的数据库奠定坚实的基础。这些问题包括建立(a) 管理任务说明，(b) 确定CT 扫描是否有资格纳入数据库的标准，(c) 合格结节术语的适当定义，(d) “真实性”要求的适当定义，(e) 填充数据库的过程模型，以及(f) 指导数据库用户应用评估方法的统计框架。通过强调仔细规划和适当考虑基本问题的共识过程，LIDC 数据库有望为医学影像研究界提供强大的资源。本文旨在与社区分享这些关键问题的广度和深度。 (C) 北美放射学会，2004 年。
To stimulate the advancement of computer-aided diagnostic (CAD) research for lung nodules in thoracic computed tomography (CT), the National Cancer Institute launched a cooperative effort known as the Lung Image Database Consortium (LIDC). The LIDC is composed of five academic institutions from across the United States that are working together to develop an image database that will serve as an international research resource for the development, training, and evaluation of CAD methods in the detection of lung nodules on CT scans. Prior to the collection of CT images and associated patient data, the LIDC has been engaged in a consensus process to identify, address, and resolve a host of challenging technical and clinical issues to provide a solid foundation for a scientifically robust database. These issues include the establishment of (a) a governing mission statement, (b) criteria to determine whether a CT scan is eligible for inclusion in the database, (c) an appropriate definition of the term qualifying nodule, (d) an appropriate definition of "truth" requirements, (e) a process model through which the database will be populated, and (f) a statistical framework to guide the application of assessment methods by users of the database. Through a consensus process in which careful planning and proper consideration of fundamental issues have been emphasized, the LIDC database is expected to provide a powerful resource for the medical imaging research community. This article is intended to share with the community the breadth and depth of these key issues. (C) RSNA, 2004.