Assessment of PI-RADS v2 for the Detection of Prostate Cancer

Abstract

PI-RADS v2 improved diagnostic performance for the assessment of suspicious intraprostatic lesions identified in PI-RADS v1 for both readers and led to higher inter-reader reliability. These results suggest that PI-RADS v2 is a reliable and replicable reporting system for the assessment of prostate cancer.

In-Bore 3-T MR-guided Transrectal Targeted Prostate Biopsy: Prostate Imaging Reporting and Data System Version 2–based Diagnostic Performance for Detection of Prostate Cancer

“…Clinically significant PCa 0.71) when using a threshold of categories 4-5 (compared with categories 1-4) (13). The reported higher AUC for lesions in the transition zone compared with peripheral zone lesions in both PI-RADS versions 1 and 2 is consistent across studies (13,19). The lower performance in the peripheral zone (vs the transition zone) may be due to change in algorithm, which sets a size threshold of at least 1.5 cm for both T2-weighted imaging and DWI for a target to considered category 5.…”

“…Our AUC of 0.81 for PI-RADS version 2 is similar to the AUC of 0.83 published by Kasel-Siebert et al (13). Unlike Kasel-Siebert et al, who showed GS of 6 (3+3) or 7 (3+4) at transrectal US-guided biopsy had GS upgraded after MR-guided biopsy.…”

Prostate cancer diagnosis using deep learning with 3D multiparametric MRI

“…Although the prostate cancer is usually not the direct cause of death, the differentiation of clinically significant prostate cancer lesions from those low-grade lesions is critical 1 . The use of multiparametric MRI (mpMRI) with Prostate Imaging Reporting And Data System (PI-RADS) has increased the sensitivity in prostate cancer detection, but the specificity is still poor which may lead to unnecessary biopsies 4,5 . The accuracy of mpMRI with PI-RADS is also largely dependent on the experience of the radiologist 5 .…”

“…The use of multiparametric MRI (mpMRI) with Prostate Imaging Reporting And Data System (PI-RADS) has increased the sensitivity in prostate cancer detection, but the specificity is still poor which may lead to unnecessary biopsies 4,5 . The accuracy of mpMRI with PI-RADS is also largely dependent on the experience of the radiologist 5 . In the last few years, several machine learning algorithms have been proposed 6,7 , based on engineered features.…”

Prostate imaging reporting and data system version 2 (PI-RADS v2): a pictorial review

“…This same study also demonstrated an equivalent sensitivity and specificity in the transition zone and the peripheral zone, an improvement over PI-RADS v1 (14). In a two reader retrospective cohort study, Kasel- Siebert et al had substantial inter-reader agreement (κ=0.68) with slightly superior performance in the versus the PZ (18). Finally, a more recent study utilizing six experienced readers at multiple centers demonstrated moderate reproducibility with improved agreement in the peripheral zone compared to the transition zone (19).…”