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1. CONQUEST AND WEASIS INSTALL
2. CONQUEST AND WEASIS MANUAL
3. CONQUEST AND WEASIS ARCHIVE
4. CONQUEST AND WEASIS SOFTWARE
5. CONQUEST AND WEASIS TRIAL

Traditionally, clinical studies relied on collecting data by hands in paper case report forms (CRFs), which were later entered into an electronic database for statistical analysis. Furthermore, an imaging database is built that may support future research. Errors and workflow processing time are reduced. Using our system, the chief radiologist is reading DICOM data directly from the eCRF.

CONQUEST AND WEASIS TRIAL

We have implemented the system in an ongoing investigator-initiated trial (IIT), where five centers have recruited 24 patients so far, performing decentralized computed tomography (CT) screening.

Our concept is evaluated on a variety of 13 DICOM modalities and transfer syntaxes. Data privacy is ensured by automatic de-identification and re-labelling with study identifiers. DICOM data is viewed directly from the electronic case report form (eCRF), while PACS-based management is hidden from the user. EDCS to PACS interchange is integrated seamlessly on the data and the context levels. Optimized for multi-center trials, we propose an entirely web-based solution integrating EDCS, PACS, and DICOM viewer, which has been implemented using the open source projects OpenClinica, DCM4CHEE, and Weasis, respectively. Several workflow architectures are compared. In this paper, requirements for a DICOM-based system interconnection of EDCS and research PACS are analysed.

CONQUEST AND WEASIS MANUAL

Manual detours in the trial workflow yield errors, delays, and costs. There exists no structured way, neither to manage digital imaging and communications in medicine (DICOM) data in EDCS nor to interconnect EDCS with picture archiving and communication systems (PACS). Nowadays, electronic data capture systems (EDCS) are used but binary image data is integrated insufficiently. Providing surrogate endpoints in clinical trials, medical imaging has become increasingly important in human-centered research.

CONQUEST AND WEASIS SOFTWARE

Conclusions: Using open source software and web technology, a tight integration has been achieved between PACS and ECRF. 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. 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. Results: All integration scripts are open source.

CONQUEST AND WEASIS ARCHIVE

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. In this paper, we obtain a tight integration of ECRF and PACS using open source software. Unfortunately, there is as yet no structured way to collect DICOM objects in trial databases. from the Picture Archiving and Communication System (PACS) are included for data mining. Trial data is augmented if DICOM scans, dose cubes, etc. This configuration requires at least dcm4chee-arc-light 5.22.2 and Weasis 3.6.0.Many clinical trials use Electronic Case Report Forms (ECRF), e.g., from OpenClinica. Here are some configuration examples of DICOMweb applications: dcm4chee-arc-light However, it is possible to access DICOMWeb services by initiating the request directly from the Weasis import The following configurations allow images to be loaded by initiating the request from a WEB context.

CONQUEST AND WEASIS INSTALL

Services (QUERY/RETRIEVE) where the requests are managed directly by Weasis. This integration requires a PACS/VNA with DICOMweb