Bladder cancer is the most costly malignancy to manage per capita due to the technical nature and intensity of follow-up. There are few urologists in rural areas, often necessitating that patients travel hours to receive follow-up care multiple times per year. We plan to train registered nurses and allied health professionals to perform cystoscopies which are monitored and interpreted in real-time by board-certified urologists. The key is to ensure optimal picture resolution to guarantee this technology is not inferior to traditional cystoscopy. Our objective was to develop the technical infrastructure needed for a tele-cystoscopy system through assessment of the transmitted video quality using expert reviewers and crowd-sourcing.
All combinations of the tele-cystoscopy system were systematically tested using a single Thiel cadaver. The videos were reviewed by expert urologists and general reviewers using a crowd-sourcing website. The video quality responses were assessed to determine concordance between each set of reviewers, and to determine the optimal equipment that should be selected for the tele-cystoscopy system.
Of eight equipment combinations, only two were of high enough quality to be appropriate for medical use. We found there to be strong concordance of responses between the expert and crowd-sourced responses. The trade-offs between cost and tele-cystoscopy system component quality were compared with efficiency frontiers to elucidate the optimal system.
We created and tested the feasibility of a tele-cystoscopy system that was deemed suitable for medical diagnosis by a group of experts. We further validated tele-cystoscopy video quality using both experts and recently validated crowd-sourcing.
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 October 2015.
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#20,294,248
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#1,061
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#206
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