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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:朝着回顾性临床试验的异构无线电肿瘤学数据的二次使用:使用图像分析工具的中央研究数据库的服务导向连接

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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质和分布的无线电肿瘤数据。以前,我们已成功推出了一个中央研究数据库,用于收集来自分布式系统的异构数据。下一步是在标准检索过程中的图像分析工具集成。因此,可以自动处理复杂的医疗问题的分析,并促进完全促进。在辐射肿瘤内复发分析是评估治疗概念的中央方法。然而,必须像图像配准,剂量转化和剂量统计一样进行各种分析步骤。在本文中,我们通过使用面向服务的方法将它们与中央研究数据库连接到标准检索过程中的图像分析工具集成。选择了复发分析的具体问题已被选为示例性证明我们的概念。我们实现了面向服务的数据收集和分析工具,以在中央分析平台中使用它们,该平台基于工作流管理系统。一开始,分析工作流程首先识别符合纳入标准的研究数据库中的患者。然后收集相关的成像数据。最后,自动分析成像数据。在成功的工作流程执行后,结果可用于由医生进一步评估。因此,中央研究数据库已成功连接自动数据收集和图像分析工具,并已证明我们面向服务的方法的可行性。总之,我们的方法将来将简化我们部门的回顾性临床试验。

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