In-bore 3.0-T Magnetic Resonance Imaging-guided Transrectal Targeted Prostate Biopsy in a Repeat Biopsy Population: Diagnostic Performance, Complications, and Learning Curve.

OBJECTIVE: To evaluate the diagnostic performance and complication rate of the in-bore magnetic resonance imaging-guided transrectal targeted prostate biopsy (MRGB) in a repeat biopsy population on the basis of a nearly 4-year learning curve (2014-2017). MATERIALS AND METHODS: A total of 142 consecutive males with previous biopsies and persistent suspicion of prostate cancer (PCa) due to high prostate-specific antigen level initially underwent MRGB in the case of prostate imaging reporting and data system (PI-RADS) 3-5 lesions. Cancer detection rate (CDR), number and length of cores, biopsy time, operator experience, complications, and prediction of clinically significant (cs) PCa (Gleason score ≥7) were investigated. RESULTS: PCa was found in 57% of patients. CDR in PI-RADS 3, 4, and 5 lesions were 46%, 52%, and 74%, respectively. csPCa was found in 9%, 25%, and 48% of patients. In univariate analysis the PI-RADS score (P = .0067) was a significant predictor of csPCa. In the multivariate logistic regression, age (P = .0007), number of previous biopsies (P = .0236), and prostate-specific antigen density (P = .0250) were significant predictors of csPCa. Location and size of the index lesion, number and length of cores obtained, and operator experience did not affect CDR. Concerning learning curve, biopsy time and number of cores obtained improved significantly after 10 procedures. Complications requiring medical intervention were seen in 6% (infections 2%). CONCLUSION: In a re-biopsy setting the MRGB showed sufficient diagnostic performance in detecting csPCa in PI-RADS 3-5 lesions, with low complication rate. The skill of performing biopsy is quickly acquired, and location of index lesion did not have an impact on CDR.

Prostate-specific Antigen Parameters and Prostate Health Index Enhance Prostate Cancer Prediction With the In-bore 3-T Magnetic Resonance Imaging-guided Transrectal Targeted Prostate Biopsy After Negative 12-Core Biopsy.

OBJECTIVE: To assess prostate cancer (PCa) detection and prediction by combining the in-bore magnetic resonance imaging-guided transrectal targeted prostate biopsy (MRGB) with prostate-specific antigen (PSA) parameters and the Prostate Health Index (PHI) in case of negative 12-core standard biopsy. MATERIALS AND METHODS: A total of 112 men (2014-2016) underwent 3-T multiparametric magnetic resonance imaging and subsequent MRGB of Prostate Imaging-Reporting and Data System (PI-RADS) lesions 3-5. Ancillary PSA parameters (PSA ratio [%fPSA] and PSA density [PSAD]) and the PHI and PHI density (PHID) were recorded. With these parameters in combination with MRGB, PCa prediction was calculated. RESULTS: The most common lesions biopsied were PI-RADS 4 (66%), located in the peripheral zone (64%), in the middle (58%) and anterior (65%) sections of the prostate, and 13 mm (IQR 10-15) in size. PCa was found in 62 (55%) patients (28% Gleason score ≥7). PSAD (0.15 vs 0.21; P = .0051), %fPSA (16 vs 13; P = .0191), PHI (45 vs 69; P < .0001), PHID (0.7 vs 1.5; P < .0001), and prostate volume (56 mL vs 45 mL; P = .0073) were significantly different in patients with PCa and those without PCa. PHI and PHID were the strongest predictors of PCa with areas under the curve of 0.79 and 0.77, respectively. Using optimal thresholds of 59 and 0.79, PHI and PHID were 69% and 84% sensitive and 82% and62% specific for PCa, respectively. CONCLUSION: Following negative standard biopsy of the prostate, the MRGB achieved an overall PCa detection rate of 55% in patients with PI-RADS 3-5 lesions. By considering PHI and PHID, 82% and 62% of unnecessary biopsies could have been avoided, failing to detect 31% and 16% of cancers.