Prostate International (Sep 2019)
Distribution of Prostate Imaging Reporting and Data System score and diagnostic accuracy of magnetic resonance imaging–targeted biopsy: comparison of an Asian and European cohort
Abstract
Background: This study aimed to compare the distribution of Prostate Imaging Reporting and Data System (PI-RADS) score and the diagnostic accuracy of magnetic resonance imaging (MRI)–targeted biopsy and systematic biopsy between a Chinese and a Dutch cohort. Materials and methods: Our study includes 316 men from Shanghai Changhai Hospital, China, and 266 men from the Erasmus University Medical Center, Rotterdam, the Netherlands. All men had a suspicion for prostate cancer (PCa) and were offered an multiparametric MRI (mpMRI) scan. Results: The distribution of the PI-RADS score was different between the two cohorts (P = 0.008). In the Chinese cohort of PI-RADS ≥3, the detection rate for high-grade PCa (Gleason ≥7) was 37.3% by systematic biopsy and 35.5% by MRI-targeted biopsy. The sensitivity of systematic biopsy was 0.80 for PCa and 0.75 for high-grade PCa. MRI-targeted biopsy achieved slightly higher sensitivity for PCa (0.82) and high-grade PCa (0.76). In the Dutch cohort of PI-RADS ≥3, the high-grade PCa detection rate was 44.4% and 54.5% for systematic biopsy and MRI-targeted biopsy. The sensitivity of systematic biopsy was 0.93 for PCa and 0.81 for high-grade PCa. By MRI-targeted biopsy, the sensitivity was 0.85 for PCa and 0.97 for high-grade PCa. Conclusions: The distribution of the PI-RADS score was different with more PI-RADS 4/5 in the Chinese cohort. Applying a PI-RADS ≥3 cutoff resulted in a favorable overall sensitivity. MRI-targeted biopsy showed a higher sensitivity in the detection of high-grade PCa than systematic biopsy. The sensitivity of MRI-targeted biopsy and systematic biopsy for both PCa and high-grade PCa in the Dutch cohort was superior to those in the Chinese cohort. Keywords: Asian, Magnetic resonance imaging, Prostate biopsy, Prostate cancer, Prostate Imaging Reporting and Data System