Integration of a clinical trial database with a PACS

17th International Conference on the Use of Computers in Radiation Therapy

物理学;计算机科学

Van Herk, M.^1

Radiotherapy Department, Netherlands Cancer Institute, Antoni Van Leeuwenhoekhuis, Plesmanlaan 121, 1066 CX Amsterdam, Netherlands^1

关键词: Anonymization;    Clinical trial;    Electronic case report forms (eCRF);    Gateway servers;    PACS administrator;    Picture archiving and communication systems (PACS);    Tight integrations;    Web technologies;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/489/1/012099/pdf
DOI  :  10.1088/1742-6596/489/1/012099

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Many clinical trials use Electronic Case Report Forms (ECRF), e.g., from OpenClinica. Trial data is augmented if DICOM scans, dose cubes, etc. from the Picture Archiving and Communication System (PACS) are included for data mining. Unfortunately, there is as yet no structured way to collect DICOM objects in trial databases. In this paper, we obtain a tight integration of ECRF and PACS using open source software. Methods: DICOM identifiers for selected images/series/studies are stored in associated ECRF events (e.g., baseline) as follows: 1) JavaScript added to OpenClinica communicates using HTML with a gateway server inside the hospitals firewall; 2) On this gateway, an open source DICOM server runs scripts to query and select the data, returning anonymized identifiers; 3) The scripts then collects, anonymizes, zips and transmits selected data to a central trial server; 4) Here data is stored in a DICOM archive which allows authorized ECRF users to view and download the anonymous images associated with each event. Results: All integration scripts are open source. The PACS administrator configures the anonymization script and decides to use the gateway in passive (receiving) mode or in an active mode going out to the PACS to gather data. Our ECRF centric approach supports automatic data mining by iterating over the cases in the ECRF database, providing the identifiers to load images and the clinical data to correlate with image analysis results. Conclusions: Using open source software and web technology, a tight integration has been achieved between PACS and ECRF.