12/14/2022 0 Comments Conquest and weasisBackground communication with the PACS is completely hidden for the users. The eCRF forms the primary endpoint for the study personnel, where subject’s image data is stored and retrieved. The architecture is implemented using the open source tools OpenClinica, DCM4CHEE and Weasis. Hence, in this work, a system architecture is presented, which connects an EDC system, a PACS and a DICOM viewer via the web access to DICOM objects (WADO) protocol. This aggravates the workflow of the study personnel, in special regarding studies with distributed data capture in multiple sites. Neither integration of subject’s digital imaging and communications in medicine (DICOM) data, nor communication with picture archiving and communication systems (PACS), is possible. However, integration of subject’s medical image data into eCRFs is insufficiently supported. Here, subject’s data is today captured in electronic case reports forms (eCRFs), which are offered by electronic data capture (EDC) systems. Providing eligibility, efficacy and security evaluation by quantitative and qualitative disease findings, medical imaging has become increasingly important in clinical trials. 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. Journal of Digital Imaging Springer Journals Providing surrogate endpoints in clinical trials, medical imaging has become increasingly important in human-centered research. Our evaluation shows that advanced visualization and suitable interfaces can also be found in the open source field and not only in commercial products. Weasis is superior for workflow optimization in clinical trials. Focusing on open source components, MIPAV is the best candidate for 3D imaging as well as DICOM communication. Interfaces needed for decentral viewing in web-based systems are offered by Oviyam, Weasis, and Xero. The viewers ImageJ, MicroView, MIPAV, and OsiriX Lite offer all included 3D-rendering features for advanced viewing. Suitable DICOM interfaces for central viewing in hospitals are provided by GingkoCADx, MIPAV, and OsiriX Lite. On the average, 4.48 and 1.43 of overall 8 2D and 5 3D image viewing criteria are satisfied, respectively. They include (i) platform, (ii) interface, (iii) support, (iv) two-dimensional (2D), and (v) three-dimensional (3D) viewing. The evaluation criteria are obtained from application scenarios in clinical research rather than patient care. In this paper, a comprehensive evaluation of 28 DICOM viewers is performed. Conquest and weasis software#Imaging biomarkers and image-based surrogate endpoints in clinical trials and medical registries require DICOM viewer software with advanced functionality for visualization and interfaces for integration. The digital imaging and communications in medicine (DICOM) protocol is the leading standard for image data management in healthcare. A Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging A Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging
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