Optimizing multiparametric magnetic resonance imaging-targeted biopsy and detection of clinically significant prostate cancer: the role of core number and location

External validation and comparison of magnetic resonance imaging-based risk prediction models for prostate biopsy stratification

PURPOSE

Magnetic resonance imaging (MRI) is a promising tool for risk assessment, potentially reducing the burden of unnecessary prostate biopsies. Risk prediction models that incorporate MRI data have gained attention, but their external validation and comparison are essential for guiding clinical practice. The aim is to externally validate and compare risk prediction models for the diagnosis of clinically significant prostate cancer (csPCa).

METHODS

A cohort of 4606 patients across fifteen European tertiary referral centers were identified from a prospective maintained database between January 2016 and April 2023. Transrectal or transperineal image-fusion MRI-targeted and systematic biopsies for PI-RADS score of ≥ 3 or ≥ 2 depending on patient characteristics and physician preferences. Probabilities for csPCa, defined as International Society of Urological Pathology (ISUP) grade ≥ 2, were calculated for each patients using eight models. Performance was characterized by area under the receiver operating characteristic curve (AUC), calibration, and net benefit. Subgroup analyses were performed across various clinically relevant subgroups.

RESULTS

Overall, csPCa was detected in 2154 (47%) patients. The models exhibited satisfactory performance, demonstrating good discrimination (AUC ranging from 0.75 to 0.78, p < 0.001), adequate calibration, and high net benefit. The model described by Alberts showed the highest clinical utility for threshold probabilities between 10 and 20%. Subgroup analyses highlighted variations in models' performance, particularly when stratified according to PSA level, biopsy technique and PI-RADS version.

CONCLUSIONS

We report a comprehensive external validation of risk prediction models for csPCa diagnosis in patients who underwent MRI-targeted and systematic biopsies. The model by Alberts demonstrated superior clinical utility and should be favored when determining the need for a prostate biopsy.

Value of Incremental Biopsy Cores for Microultrasound Targeted Prostate Biopsies

OBJECTIVE

To determine the optimal number of cores needed during microultrasound-informed prostate biopsy for the detection of clinically significant prostate cancer (csPCa, defined as Gleason Grade Group ≥2).

METHODS

A retrospective review of 1011 consecutive patients between September 2021 and July 2023 at our institution were identified; 536 underwent microultrasound biopsy and 475 underwent magnetic resonance imaging (MRI)/ultrasound (US) targeted biopsy. Lesions were given a Prostate Risk Identification using Microultrasound (PRI-MUS) score, with lesions PRI-MUS ≥3 targeted. MRI lesions were scored with Prostate Imaging-Reporting and Data System (PI-RADS) and lesions PI-RADS ≥3 were targeted. The primary outcome is the detection of csPCa stratified by number of cores.

RESULTS

One hundred thirty-eight patients underwent targeted biopsies for microultrasound only lesions, 182 for microultrasound and MRI lesions and 426 underwent MRI/US for MRI lesions. The first targeted core detected 78.0% (46/59), 77.8% (63/81), and 78.8% (216/274) of csPCa for microultrasound, microultrasound+MRI, and MRI/US, respectively. Comparing first to third core, there was not a significant difference in overall detection of csPCa by microultrasound, though MRI/US was significantly different (28.4% vs 36.4% P = .12, 32.5% vs 41.8% P = .06, 42.5% vs 53.9% P < .001 for microultrasound, microultrasound+MRI, and MRI/US, respectively). PI-RADS 3 and PRI-MUS 3 lesions had lower first core detection rates compared to PI-RADS 5 and PRI-MUS 5 lesions (44.4% vs 85.4% P = .01, 65.2% vs 81.4% P = .14, 60% vs 83.1% P = .07 for microultrasound, microultrasound+MRI, and MRI/US, respectively).

CONCLUSION

A three-core targeted biopsy per microultrasound lesion improves detection rate of csPCa and should be considered to improve diagnostic accuracy.