Abstract
Objectives: To create a web interface for conducting interrater agreement studies in the context of the studies defined by the International Endometrial Tumor Analysis (IETA) group, that should be easily generalizable to other imaging-based interrater agreement studies or as an assessment tool for imaging specialists. Methods: The web interface makes use of the Clinical Data Miner (CDM) framework, which allowed to substantially reduce development time. Results: The interface shows the images to be evaluated in random order, which minimizes the learning effect when the study has to be completed twice by the same observers. The system verifies if any images were already evaluated by the observer for the study, and only presents the ones that were not. This allows the observer to complete a study over the course of multiple sessions. The interface has been used by five independent clinicians for evaluating 200 images and was judged to be user-friendly. Conclusions: We have created a new user-friendly web interface based on CDM for conducting interrater agreement studies on 2D imaging modalities. It may also be used as an efficient teaching modality to test the performance of different imaging specialists.
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