Association of MR image quality measures with diagnostic accuracy and inter-reader agreement of PI-RADS for detection of prostate cancer

Radiologists’ ability to detect clinically-significant prostate cancer on MRI is affected by image quality. While subjective guidelines are provided by the prostate imaging reporting and data system (PI-RADS) and other recent methods, there is a need to develop objective and quantitative metrics of MRI quality. In this multi-reader study, we derive MRI quality metrics using an image processing-based open-source software tool and evaluate their association with radiologist-assigned PI-RADS scores to detect clinically-significant prostate cancer (csPCa). We observe that higher quality MRI is associated with improved detection of csPCa on MRI.