Prostate cancer is the most common cancer in men and a leading cause of morbidity and mortality globally. To ensurethat men receive an accurate prostate cancer diagnosis, we developed the PRISM App, a web-based self-assessmentplatform designed for clinicians to increase their confidence in the use of mpMRI before biopsy. The App, whichprovided participants with a prostate sector map, anonymous patient's clinical history and mpMRI technical information,was tested by three radiologists of different mpMRI experience. Participants determined the number of lesions that werepresent in a set of twenty prostate mpMRI images, by marking and describing their location on the map. They were alsoasked to decide on the radiological classification, using a five-point Likert scale, and record the T-stage. Participants'screening performance was calculated by two sets of measures based on a) expert's opinion regarding whether a caseshould be recalled for further investigation or not and b) the known case pathology regarding whether malignancy waspresent or not. The results showed that two of the participants had specificity scores at ceiling (100%) whereas the thirdhad a specificity score at the level of change (50%), reflecting the small number of benign cases in the case set (n=6).Participants' comments regarding their experience using the App was positive, indicating that the PRISM scheme couldbe helpful in building confidence in reading mpMRI cases. Further testing with an appropriate number and variety ofcases would be a key element in the success of the PRISM App.
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