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PurposeIt is still not clear the role of perilesional biopsy (PL) and the extension of the random biopsy (RB) scheme to be adopted during mpMRI-guided ultrasound fusion biopsy (FB). To evaluate the increase in diagnostic accuracy achieved by PL and different RB schemes over target biopsy (TB).MethodsWe collected prospectively 168 biopsy-naïve patients with positive mpMRI receiving FB and concurrent 24-core RB. The diagnostic yields of the different possible biopsy schemes (TB only; TB + 4 PL cores; TB + 12-core RB; TB + 24-core RB) were compared by the McNemar test. Clinically significant (CS) prostate cancer (PCA) was defined according to the definition of the PROMIS trial. Regression analyses were used to identify independent predictors of the presence of any cancer, csPCA.ResultsThe detection rate of CS cancers increased to 35%, 45%, and 49% by adding 4 PL cores, 12, and 24 RB cores, respectively (all p < 0.02). Notably, the largest scheme including 3 TB and 24 RB cores identified a small but statistically significant 4% increase in detection rate of CS cancer, as compared with the second largest scheme. TB alone identified only 62% of the CS cancers. Such figure increased to 72% by adding 4 PL cores, and to 91% by adding 14 RB cores.ConclusionsWe found that PL biopsy increased the detection rate of CS cancers as compared with TB alone. However, the combination of those cores missed about 30% of the CS cancers identified with larger RB cores, notably including a considerable 15% of cases located contralaterally to the index tumor.

PurposeRecently, the Cormio et al. nomogram has been developed to predict prostate cancer (PCa) and clinically significant PCa using benign prostatic obstruction parameters. The aim of the present study was to externally validate the nomogram in a multicentric cohort.MethodsBetween 2013 and 2019, patients scheduled for ultrasound-guided prostate biopsy were prospectively enrolled at 11 Italian institutions. Demographic, clinical and histological data were collected and analysed. Discrimination and calibration of Cormio nomogram were assessed with the receiver operator characteristics (ROC) curve and calibration plots. The clinical net benefit of the nomogram was assessed with decision curve analysis. Clinically significant PCa was defined as ISUP grade group > 1.ResultsAfter accounting for inclusion criteria, 1377 patients were analysed. 816/1377 (59%) had cancer at final pathology (574/816, 70%, clinically significant PCa). Multivariable analysis showed age, prostate volume, DRE and post-voided residual volume as independent predictors of any PCa. Discrimination of the nomogram for cancer was 0.70 on ROC analysis. Calibration of the nomogram was excellent (p = 0.94) and the nomogram presented a net benefit in the 40–80% range of probabilities. Multivariable analysis for predictors of clinically significant PCa found age, PSA, prostate volume and DRE as independent variables. Discrimination of the nomogram was 0.73. Calibration was poor (p = 0.001) and the nomogram presented a net benefit in the 25–75% range of probabilities.ConclusionWe confirmed that the Cormio nomogram can be used to predict the risk of PCa in patients at increased risk. Implementation of the nomogram in clinical practice will better define its role in the patient’s counselling before prostate biopsy.

Magnetic resonance imaging (MRI)-targeted prostate biopsy is the recommended investigation in men with suspicious lesion(s) on MRI. The role of concurrent systematic in addition to targeted biopsies is currently unclear. Using our prospectively maintained database, we identified men with at least one Prostate Imaging-Reporting and Data System (PI-RADS) ≥3 lesion who underwent targeted and/or systematic biopsies from May 2016 to May 2020. Clinically significant prostate cancer (csPCa) was defined as any Gleason grade group ≥2 cancer. Of 545 patients who underwent MRI fusion-targeted biopsy, 222 (40.7%) were biopsy naïve, 247 (45.3%) had previous prostate biopsy(s), and 76 (13.9%) had known prostate cancer undergoing active surveillance. Prostate cancer was more commonly found in biopsy-naïve men (63.5%) and those on active surveillance (68.4%) compared to those who had previous biopsies (35.2%; both P < 0.001). Systematic biopsies provided an incremental 10.4% detection of csPCa among biopsy-naïve patients, versus an incremental 2.4% among those who had prior negative biopsies. Multivariable regression found age (odds ratio [OR] = 1.03, P = 0.03), prostate-specific antigen (PSA) density ≥0.15 ng ml−2 (OR = 3.24, P < 0.001), prostate health index (PHI) ≥35 (OR = 2.43, P = 0.006), higher PI-RADS score (vs PI-RADS 3; OR = 4.59 for PI-RADS 4, and OR = 9.91 for PI-RADS 5; both P < 0.001) and target lesion volume-to-prostate volume ratio ≥0.10 (OR = 5.26, P = 0.013) were significantly associated with csPCa detection on targeted biopsy. In conclusion, for men undergoing MRI fusion-targeted prostate biopsies, systematic biopsies should not be omitted given its incremental value to targeted biopsies alone. The factors such as PSA density ≥0.15 ng ml−2, PHI ≥35, higher PI-RADS score, and target lesion volume-to-prostate volume ratio ≥0.10 can help identify men at higher risk of csPCa.

We present a systematic review providing estimates of the overall and regional burden of infectious complications following prostate biopsy. A directly standardized prevalence estimate was used because it reflects the burden of disease more explicitly. Complications included sepsis, hospitalization, bacteraemia, bacteriuria, and acute urinary retention after biopsy. There were 165 articles, comprising 162 577 patients, included in the final analysis. Our findings demonstrate that transrectal biopsy was associated with a higher burden of hospitalization (1·1% vs. 0·9%) and sepsis (0·8% vs. 0·1%) compared to transperineal biopsy, while acute urinary retention was more prevalent after transperineal than transrectal biopsy (4·2% vs. 0·9%). The differences were statistically non-significant because of large heterogeneity across countries. We also demonstrate and discuss regional variations in complication rates, with Asian studies reporting higher rates of sepsis and hospitalization.

Data from patients with suspicious lesions on multiparametric magnetic resonance (mpMRI) and a diagnosis of clinically significant prostate cancer (csPCa) who underwent radical prostatectomy (RP) were collected. The aim was to compare csPCa sites identified through whole-mount pathological analysis (WMA) after RP with PI-RADS ≥ 3 lesions identified on mpMRI, and with csPCa foci detected through targeted-biopsy (TB) or combined targeted + systematic biopsy (TSB). A paired Student’s t-test and Pearson correlation analysis were performed to evaluate the agreement between these diagnostic methods. A total of 106 patients were included in the TSB group and 95 in the TB group. The correlation between mpMRI, PB, and WMA was moderate and comparable in both groups. No correlation between PB and WMA was found in the TB group for PI-RADS3 lesions, while a moderate-strong correlation was observed when comparing mpMRI, PB, and WMA for PI-RADS > 3 lesions. About 50% of csPCa sites remained undetected by mpMRI. TSB was able to identify 16.5% more csPCa sites than TB. mpMRI is an accurate method in the diagnosis of PCa, especially for PI-RADS > 3 lesions, although some csPCa sites remained undetected. The use of TSB improved the location agreement between PB and WMA, increasing detection rates up to 79%.

The overdiagnosis of prostate cancer (PCa) caused by nonspecific elevation serum prostate-specific antigen (PSA) and the overtreatment of indolent PCa have become a global problem that needs to be solved urgently. We aimed to construct a prediction model and provide a risk stratification system to reduce unnecessary biopsies. In this retrospective study, clinical data of 1807 patients from three Chinese hospitals were used. The final model was built using stepwise logistic regression analysis. The apparent performance of the model was assessed by receiver operating characteristic curves, calibration plots, and decision curve analysis. Finally, a risk stratification system of clinically significant prostate cancer (csPCa) was created, and diagnosis-free survival analyses were performed. Following multivariable screening and evaluation of the diagnostic performances, a final diagnostic model comprised of the PSA density and Prostate Imaging-Reporting and Data System (PI-RADS) score was established. Model validation in the development cohort and two external cohorts showed excellent discrimination and calibration. Finally, we created a risk stratification system using risk thresholds of 0.05 and 0.60 as the cut-off values. The follow-up results indicated that the diagnosis-free survival rate for csPCa at 12 months and 24 months postoperatively was 99.7% and 99.4%, respectively, for patients with a risk threshold below 0.05 after the initial negative prostate biopsy, which was significantly better than patients with higher risk. Our diagnostic model and risk stratification system can achieve a personalized risk calculation of csPCa. It provides a standardized tool for Chinese patients and physicians when considering the necessity of prostate biopsy.

PurposeMultiparametric magnetic resonance imaging (mpMRI) improves clinically significant prostate cancer (csPCa) detection by facilitating targeted biopsy (cognitive, fusion technology, or in-gantry MRI guidance) and reducing negative biopsies. This study sought to describe the feasibility of introducing an mpMRI-based triage pathway, including diagnostic performance, applicability to training, and cost analysis.MethodsAn observational retrospective cohort study of consecutive patients attending a large public tertiary referral training hospital who underwent mpMRI for suspicion of prostate cancer was considered. Standard clinical, MRI-related, histopathological, and financial parameters were collected for analysis of biopsy avoidance, diagnostic accuracy of biopsy approach, and operator (consultant and resident/registrar) and logistical (including financial) feasibility.Results653 men underwent mpMRI, of which 344 underwent prostate biopsy resulting in a 47% biopsy avoidance rate. Overall, 240 (69.8%) patients were diagnosed with PCa, of which 208 (60.5%) were clinically significant, with higher rates of csPCa observed for higher PIRADS scores. In patients who underwent both systematic and targeted biopsy (stTPB), targeted cores detected csPCa in 12.7% and 16.6% in more men than systematic cores in PIRADS 5 and 4, respectively, whereas systematic cores detected csPCa in 5% and 3.2% of patients, where targeted cores did not. A high standard of performance was maintained across the study period and the approach was shown to be cost effective.ConclusionsIntrodution of an mpMRI-based triage system into a large public tertiary teaching hospital is feasible, cost effective and leads to high rates of prostate cancer diagnosis while reducing unnecessary biopsies and detection of insignificant PCa.

Introduction: Transperineal prostate (TP) biopsy has emerged as a substantial alternative to the conventional transrectal (TR) approach for prostate sampling by its ability to sample specific areas of the prostate more effectively. The objective of this review is to conduct a comparative analysis of the current literature regarding diagnostic accuracy, complication rate and clinical outcome of transrectal vs. transperineal approaches in prostate biopsy-naïve patients and in repeated biopsy scenarios. Materials and Methods: An extensive search of the literature in PubMed, Scopus, and Web of Science was conducted between September 2010 and September 2024. We utilized a robust and comprehensive retrieval strategy including phrasing the two approaches as follows: (perineal or transperineal) and (rectal or transrectal). Conclusions: The transperineal and transrectal approaches show similar results in the detection of PCa in biopsy-naïve men, similar rates of infection, urinary retention and effectiveness managing biopsy-associated pain. However, in the rebiopsy scenario, the TP approach has demonstrated increased accuracy compared to the TR approach. This has significant implications in decision making and patient counselling.

Our goal was to establish two new predictive models of prostate cancer to determine whether to require a prostate biopsy when the prostate-specific antigen level is in the diagnostic gray zone. A retrospective analysis of 197 patients undergoing prostate biopsy with prostate-specific antigens between 4 and 10 ng ml−1 was conducted. Of these, 47 patients were confirmed to have cancer, while the remaining 150 patients were diagnosed with benign prostate disease after examining biopsy pathology. Two multivariate logistic regression models were established including age, prostate volumes, free/total prostate-specific antigen ratio, and prostate-specific antigen density using SPSS 19.0 to obtain the predicted probability and Logit P, and then, two receiver operating characteristic (ROC) curves were drawn to obtain the best cutoff value for prostate biopsy: one for the group of all the prostate cancers and one for the group of clinically significant prostate cancers. The best cutoff value for prostate biopsy was 0.25 from the multivariate logistic regression ROC curve model of all the prostate cancers, which gave a sensitivity of 75.4% and a specificity of 75.8%. The best cutoff value for prostate biopsy was 0.20 from the multivariate logistic regression model of clinically significant prostate cancers, which gave a sensitivity of 76.7% and a specificity of 80.1%. We identified the best cutoff values for prostate biopsy (0.25 for all prostate cancers and 0.20 for clinically significant prostate cancers) to determine whether to require prostate biopsy when the PSA level is in the diagnostic gray zone.

To analyze the performance of the Prostate Health Index (phi) and its derivatives for predicting Gleason score (GS) upgrading between prostate biopsy and radical prostatectomy (RP) in the Chinese population, an observational, prospective RP cohort consisting of 351 patients from two medical centers was established from January 2017 to September 2020. Pathological reclassification was determined by the Gleason Grade Group (GG). The area under the receiver operating characteristic curve (AUC) and logistic regression (LR) models were used to evaluate the predictive performance of predictors. In clinically low-risk patients with biopsy GG ≤ 2, phi (odds ratio [OR] = 1.80, 95% confidence interval [95% CI]: 1.14-2.82, P = 0.01) and its derivative phi density (PHID; OR = 2.34, 95% CI: 1.30-4.20, P = 0.005) were significantly associated with upgrading to GG ≥3 after RP, and the results were confirmed by multivariable analysis. Similar results were observed in patients with biopsy GG of 1 for the prediction of upgrading to RP GG ≥2. Compared to the base model (AUC = 0.59), addition of the phi or PHID could provide additional predictive value for GS upgrading in low-risk patients (AUC = 0.69 and 0.71, respectively, both P < 0.05). In conclusion, phi and PHID could predict GS upgrading after RP in clinically low-risk patients.