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Towards secondary use of heterogeneous radio-oncological data for retrospective clinical trials: Service-oriented connection of a central research database with image analysis tools

机译:争取将异种放射肿瘤学数据二次用于回顾性临床试验:中央研究数据库与图像分析工具的面向服务的连接

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Our overall objective is the utilization of heterogeneous and distributed radio-oncological data in retrospective clinical trials. Previously, we have successfully introduced a central research database for collection of heterogeneous data from distributed systems. The next step is the integration of image analysis tools in the standard retrieval process. Hence, analyses for complex medical questions can be processed automatically and facilitated immensely. In radiation oncology recurrence analysis is a central approach for the evaluation of therapeutic concepts. However, various analysis steps have to be performed like image registration, dose transformation and dose statistics. In this paper we show the integration of image analysis tools in the standard retrieval process by connecting them with our central research database using a service-oriented approach. A concrete problem from recurrence analysis has been selected to prove our concept exemplarily. We implemented service-oriented data collection and analysis tools to use them in a central analysis platform, which is based on a workflow management system. An analysis workflow has been designed that, at first, identifies patients in the research database fulfilling the inclusion criteria. Then the relevant imaging data is collected. Finally the imaging data is analyzed automatically. After the successful workflow execution, the results are available for further evaluation by a physician. As a result, the central research database has been connected successfully with automatic data collection and image analysis tools and the feasibility of our service-oriented approach has been demonstrated. In conclusion, our approach will simplify retrospective clinical trials in our department in future.
机译:我们的总体目标是在回顾性临床试验中利用异构和分布式放射肿瘤学数据。以前,我们已经成功地引入了一个中央研究数据库,用于从分布式系统中收集异构数据。下一步是将图像分析工具集成到标准检索过程中。因此,可以自动处理复杂医学问题的分析,并大大简化了分析过程。在放射肿瘤学中,复发分析是评估治疗概念的主要方法。但是,必须执行各种分析步骤,例如图像配准,剂量转换和剂量统计。在本文中,我们通过使用面向服务的方法将图像分析工具与我们的中央研究数据库相连接,展示了图像分析工具在标准检索过程中的集成。从递归分析中选择了一个具体的问题来示例性地证明我们的概念。我们实施了面向服务的数据收集和分析工具,以在基于工作流管理系统的中央分析平台中使用它们。设计了一种分析工作流程,该工作流程首先可以在研究数据库中识别出符合纳入标准的患者。然后收集相关的成像数据。最后,将自动分析成像数据。在成功执行工作流程之后,结果可供医生进一步评估。结果,中央研究数据库已成功连接了自动数据收集和图像分析工具,并证明了我们面向服务的方法的可行性。总之,我们的方法将简化将来在我们部门进行的回顾性临床试验。

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