Medical Imaging Research Laboratory, Department of Physiological Sciences II, Faculty of Medicine, University of Barcelona, C/ Feixa Llarga s/n Pavelló de Govern, Lab. 41.57, 08907, Hospitalet de Llobregat, Barcelona, Spain.
J Digit Imaging. 2011 Apr;24(2):196-202. doi: 10.1007/s10278-010-9304-7.
New clinical studies in medicine are based on patients and controls using different imaging diagnostic modalities. Medical information systems are not designed for clinical trials employing clinical imaging. Although commercial software and communication systems focus on storage of image data, they are not suitable for storage and mining of new types of quantitative data. We sought to design a Web-tool to support diagnostic clinical trials involving different experts and hospitals or research centres. The image analysis of this project is based on skeletal X-ray imaging. It involves a computerised image method using quantitative analysis of regions of interest in healthy bone and skeletal metastases. The database is implemented with ASP.NET 3.5 and C# technologies for our Web-based application. For data storage, we chose MySQL v.5.0, one of the most popular open source databases. User logins were necessary, and access to patient data was logged for auditing. For security, all data transmissions were carried over encrypted connections. This Web-tool is available to users scattered at different locations; it allows an efficient organisation and storage of data (case report form) and images and allows each user to know precisely what his task is. The advantages of our Web-tool are as follows: (1) sustainability is guaranteed; (2) network locations for collection of data are secured; (3) all clinical information is stored together with the original images and the results derived from processed images and statistical analysis that enable us to perform retrospective studies; (4) changes are easily incorporated because of the modular architecture; and (5) assessment of trial data collected at different sites is centralised to reduce statistical variance.
医学新的临床研究基于使用不同成像诊断方式的患者和对照。医学信息系统并非专为采用临床成像的临床试验而设计。尽管商业软件和通信系统专注于存储图像数据,但它们不适合存储和挖掘新型定量数据。我们旨在设计一个 Web 工具,以支持涉及不同专家、医院或研究中心的诊断性临床试验。该项目的图像分析基于骨骼 X 射线成像。它涉及一种计算机化的图像方法,对健康骨骼和骨骼转移部位的感兴趣区域进行定量分析。该数据库采用 ASP.NET 3.5 和 C# 技术实现,适用于我们的基于 Web 的应用程序。对于数据存储,我们选择了 MySQL v.5.0,这是最受欢迎的开源数据库之一。需要用户登录,并且对患者数据的访问进行日志记录以进行审核。为了安全起见,所有数据传输都通过加密连接进行。这个 Web 工具可供分布在不同位置的用户使用;它允许高效地组织和存储数据(病例报告表)和图像,并允许每个用户确切地知道他的任务是什么。我们的 Web 工具的优点如下:(1) 可持续性得到保证;(2) 数据收集的网络位置是安全的;(3) 所有临床信息都与原始图像以及从处理后的图像和统计分析中得出的结果一起存储,使我们能够进行回顾性研究;(4) 由于模块化架构,易于进行更改;以及 (5) 集中评估不同地点收集的试验数据,以减少统计方差。