Clinical utility of MR/ultrasound fusion-guided biopsy in patients with lower suspicion lesions on active surveillance for low-risk prostate cancer

BackgroundThe utility of Multiparametric magnetic resonance imaging (mpMRI) guided prostate biopsy among patients with prostate cancer (CaP) managed with active surveillance (AS) with low-suspicion lesions remains unsettled.MethodsWe performed a retrospective analysis of 415 men with low-risk CaP managed with active surveillance. We selected men with mpMRI visible index lesions scored as 2 or 3 according to Prostate Imaging Reporting and Data System (PI-RADS) version 2. The primary outcome was detection of clinically significant prostate cancer (csCaP) was defined as Gleason grade group ≥ 2. We assessed the diagnostic accuracy of biopsy approaches using area under the receiver operator characteristic (ROC) curve and evaluated factors associated with csCaP in these patients using multivariate logistic regression.ResultsCsCaP was identified in 22 of 125 patients (17.6%) with PI-RADS 2 or 3 index lesions during surveillance prostate biopsies. These included 10 (45.5%) diagnosed by systematic biopsy alone, 9 (40.9%) by targeted alone, and 3 (13.6%) by both approaches. On multivariable analysis, the only significant variable predicting the detection of csCaP in men with low-risk imaging mpMRI characteristics was higher PSAD (OR per 0.1 unit=2.26, 95% CI 1.25–4.06, P = 0.007. A PSAD cutoff of 0.1, 0.12 and 0.15 resulted in a negative predictive value (NPV) of 90.9%, 87.1% and 86.2%, respectively. When stratified by PI-RADS score, a PSAD cutoff of 0.1, 0.12 and 0.15 resulted in NPV of 96.2%, 90.6% and 89.7% and 86.2%, 84.2% and 83.3% for detection of csCaP in PI-RADS 2 and 3 lesions, respectively. In patients with PIRDAS 2 lesions, using a PSAD of 0.1 would potentially allow 51% of patients to avoid biopsy with only a 3.8% chance of missing csCaP.ConclusionIn men with clinical low-risk prostate cancer on active surveillance with PI-RADS 2 and 3 lesions, there is an almost 18% risk of upgrade to csCaP. Integration of PSAD may be a useful adjunctive tool in identifying patients at highest risk for upgrade despite favorable imaging findings. In men with PIRADS 2 lesions with PSAD ≤0.12 biopsy can be avoided. For men with PIRADS 2 lesions with PSAD ≤0.15 informed decision making regarding the AS intensity should include that these patients have a low risk (>10%) of developing csCaP. In men with PIRADS 3 lesions with PSAD >0.1, shared decision making should include discussion of a >10% miss rate of csCaP.     

Limitations of overlapping cores in systematic and MRI-US fusion biopsy

ObjectivesTo evaluate the clinically-significant prostate cancer (csCaP) detection rate of systematic (SBx) vs. targeted biopsy (TBx), after accounting for the overlapping systematic cores within the MRI regions of interest.Materials and methodsWe identified 398 consecutive men who underwent both transperineal systematic and targeted biopsy between January 2015 to January 2019. We reclassified overlapping systematic cores in the MRI regions of interest as target cores. The detection rates of SBx and TBx were compared using McNemar's test.ResultsDetection rate of csCaP (grade group ≥2) was 42% (168/398). Median number of systematic and targeted cores were 23 (IQR 19–29) and 9 (IQR 6–12) respectively. A median of 3 (IQR 2–4) overlapping systematic cores were reclassified as targeted cores. After accounting for overlap, csPC detection rate on SBx decreased from 37% and 21% while the csCaP detection rate of TBx increased from 34% to 39% (both P < 0.001), with TBx having a better detection rate (39% vs. 21%, P < 0.001). A previous negative biopsy was associated with a lower risk of having csCaP on non-targeted SBx (OR 0.27, 95% CI: 0.12 – 0.58, P = 0.001). Only 5% (13/243) of those who had no cancer detected on TBx had csCaP on non-targeted SBx compared to 45% (70/155) of those who had csCaP on TBx (P< 0.001).ConclusionsThe utility of SBx in detecting csCaP decreases after accounting for overlap into the MRI region of interest, especially in men with a prior negative biopsy. Overlapping systematic cores improve the csCaP detection rate on TBx.     

Evaluation of post-ablation mpMRI as a predictor of residual prostate cancer after focal high intensity focused ultrasound (HIFU) ablation

PurposeTo evaluate the performance of multiparametric magnetic resonance imaging (mpMRI) and PSA testing in follow-up after high intensity focused ultrasound (HIFU) focal therapy for localized prostate cancer.MethodsA total of 73 men with localized prostate cancer were prospectively enrolled and underwent focal HIFU followed by per-protocol PSA and mpMRI with systematic plus targeted biopsies at 12 months after treatment. We evaluated the association between post-treatment mpMRI and PSA with disease persistence on the post-ablation biopsy. We also assessed post-treatment functional and oncological outcomes.ResultsMedian age was 69 years (Interquartile Range (IQR): 66–74) and median PSA was 6.9 ng/dL (IQR: 5.3–9.9). Of 19 men with persistent GG ≥ 2 disease, 58% (11 men) had no visible lesions on MRI. In the 14 men with PIRADS 4 or 5 lesions, 7 (50%) had either no cancer or GG 1 cancer at biopsy. Men with false negative mpMRI findings had higher PSA density (0.16 vs. 0.07 ng/mL², P = 0.01). No change occurred in the mean Sexual Health Inventory for Men (SHIM) survey scores (17.0 at baseline vs. 17.7 post-treatment, P = 0.75) or International Prostate Symptom Score (IPSS) (8.1 at baseline vs. 7.7 at 24 months, P = 0.81) after treatment.ConclusionsPersistent GG ≥ 2 cancer may occur after focal HIFU. mpMRI alone without confirmatory biopsy may be insufficient to rule out residual cancer, especially in patients with higher PSA density. Our study also validates previously published studies demonstrating preservation of urinary and sexual function after HIFU treatment.     

The use of 29 MHz transrectal micro-ultrasound to stratify the prostate cancer risk in patients with PI-RADS III lesions at multiparametric MRI: A single institutional analysis

IntroductionMagnetic Resonance Imaging (MRI) has emerged as the most accurate diagnostic tool, showing a high sensitivity in the diagnosis of clinically significant prostate cancer (csCaP). However only a minority of patients with a PI-RADS 3 lesion at multiparametric magnetic resonance imaging (MRI) are diagnosed with csCaP. The aim of the current study was to assess whether high resolution micro-ultrasound (microUS) could help in sub-stratifying the risk of csCaP in this specific population.Material and methodsWe retrospectively analyzed the records of 111 consecutive patients scheduled for a prostate biopsy with at least 1 PI-RADS 3 lesions at MRI. We excluded patients with a PIRADS >3 lesion, even if they had a coexisting PIRADS 3 lesions. MicroUS was performed in all patients before prostate biopsy by an operator blind to MRI results. The Prostate Risk Identification using MicroUS (PRI-MUS) protocol was used to assess the risk of CaP and csCaP. All patients received both targeted and systematic biopsies. The primary endpoint was to determine the diagnostic accuracy of microUS in detection of csCaP in patients with a PI-RADS 3 lesion at MRI. Specifically, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of microUS were determined. Multivariable logistic regression models (MLRMs) were fitted to identify predictors of CaP. The diagnostic accuracy was reported as area under the receiver operator characteristic (ROC) curve.ResultsOverall, 43 patients (38.7%) harboured CaP and 22 (20%) csCaP. MicroUS showed a high sensitivity and negative predictive value (100%), while its specificity and positive predictive value were 33.7% and 27.2%, respectively. Among patients without lesions at microUS, 25 (83.3%) did not harbour CaP, while 5 (16.7%) patients were diagnosed with a Gleason score 6 CaP, with no patients harbouring csCaP. Using microUS, the csCaP detection would have remained 100%, while reducing the detection of insignificant CaP of a 23.8% extent (n = 5). In MLRMs, lesion identified at microUS and continuously-coded PSAd were independent predictors of CaP. The accuracy of a model including PRI-MUS score, digital rectal examination (DRE), PSA density, age and family history was 0.744 (95% CI: 0.645 – 0.843).ConclusionIn our single-institutional retrospective study, microUS was potentially capable to stratify the presence of CaP in patients with an equivocal MRI. Further prospective studies on larger populations are needed to validate our results.     

External validation and comparison of magnetic resonance imaging-based predictive models for clinically significant prostate cancer

PurposeSeveral multiparametric magnetic resonance imaging (mpMRI)-based models have been developed with significant improvements in diagnostic accuracy for clinically significant prostate cancer (csCaP), but lack proper external validation. We therefore sought to externally validate and compare all published mpMRI-based csCaP risk prediction models in an independent Asian population.Patients and MethodsA total of 449 men undergoing combined transperineal fusion-targeted/systematic prostate biopsy at our specialist center between 2015 to 2019 were retrospectively analyzed. csCaP was defined as lesions with ISUP (International Society of Urological Pathology) grade group ≥2. The performance of 6 mpMRI-based risk models (MRI-ERSPC-3/4, Distler, Radtke, Mehralivand, van Leeuwen and He) were evaluated in terms of discrimination, calibration and clinical utility, using area under the receiver operating characteristic curve (AUC), calibration curves and decision curve analyses.ResultsA total of 202 (45%) subjects were diagnosed with csCaP. All models demonstrated excellent accuracy with AUCs ranging from 0.75 to 0.86, and most significantly outperformed mpMRI PIRADSv2.0 (Prostate Imaging Reporting and Data System version 2.0) alone. The models by Mehralivand and He showed good calibration to our validation population, with respective intercepts of -0.08 and -0.84. All models were nevertheless recalibrated to the csCaP prevalence in our population for analysis. Decision curve analysis showed that above a threshold probability of 10%, all mpMRI-based models demonstrated superior net benefit compared to mpMRI PIRADSv2.0 or a biopsy-all-men strategy. The van Leeuwen model had the greatest net benefit, avoiding 39% of unnecessary biopsies while missing only 4% of csCaP, at a threshold probability of 15%.ConclusionsThe mpMRI-based risk models demonstrate excellent discrimination and clinical utility and are easy to apply in practice, suggesting that individualized risk-based approaches can be considered over mpMRI alone to avoid unnecessary biopsies.     

Unilateral lesion detected on preoperative multiparametric magnetic resonance imaging and MRI/US fusion-guided prostate biopsy is not an appropriate indication for focal therapy in prostate cancer

PurposeThis study aimed to investigate if preoperative assessments of multiparametric magnetic resonance imaging (mpMRI) and Magnetic resonance imaging /ultrasound (MRI/US) fusion-guided prostate biopsy could be used to guide focal therapy for prostate cancer.Materials and MethodsA total of 101 prostate cancer patients undergoing radical prostatectomy were included. Preoperative findings included mpMRI and MRI/US fusion-guided prostate biopsy, while postoperative whole mount pathology was based on surgical specimen.ResultsOf the 101 patients preoperatively diagnosed with a unilateral tumor, postoperative whole mount pathology showed 73.27% were bilateral tumors, and 71.62% of bilateral lesions were clinically significant. Comparison between preoperative and postoperative findings, the correct rate of preoperative mpMRI on the lesion side (left or right) was only 20.79%. As for the Gleason score, the correct rate of preoperative MRI/US fusion-guided prostate pathology was 67.33%. Judging from postoperative whole mount pathology, 47.52% of patients had a unilateral clinically significant tumor, which is an indication for focal therapy.ConclusionPreoperative examinations of mpMRI and MRI/US fusion-guided prostate biopsy cannot be used to guide focal therapy for prostate cancer.     

Poor reproducibility of PIRADS score in two multiparametric MRIs before biopsy in men with elevated PSA

Purpose

Since January 2015, all men referred to urologists in Norway due to elevated PSA or other suspicion of prostate cancer underwent multiparametric MRI (mpMRI) before prostate biopsy. At our hospital, patients and the initial MRI were assessed by an urologist and if deemed necessary, patients were referred to another institution for MR/US fusion biopsies. Before MR/US biopsy, patients underwent a second mpMRI. Since we noticed disagreement of these two mpMRIs before biopsy, we retrospectively assessed the level of agreement between the two mpMRIs from the two institutions.

Methods

During the first 6 months of 2015, 292 patients were referred to our outpatient clinic. We referred 126 patients of these to the other institution for MR/US fusion biopsy. The 2 mpMRIs were performed within 4 weeks. We analyzed MR reports and schematics for number of lesions and highest PIRADS score per side of the prostate and histological result of the biopsies. Bland–Altman’s plot was used to compare the level of agreement between the two mpMRIs of the same patient before biopsy.

Results

There was a poor level of agreement between the two mpMRIs and a statistically significant difference in PIRADS scores. Regression analysis showed that there was no proportional or systematic bias.

Conclusion

In unselected patients with elevated PSA, there seems to be a significant variation of mpMRI results across institutions. The PIRADS scoring system needs to be validated with regards to MR equipment, mpMRI protocols and inter-reader variability of radiologists.

     

Multiparametric MRI with in-bore targeted biopsy in the diagnostic pathway of prostate cancer: Data from a single institution experience

BackgroundAccuracy of multiparametric MRI (mpMRI) for the detection of significant prostate cancer (CaP) varies in the literature as only few studies use radical prostatectomy specimens as their gold standard. On another hand, MRI-targeted prostate biopsy is emerging as an alternative to the traditional randomized biopsy, with a higher detection rate of high-grade cancers. However, data on MRI guided in bore biopsy is lacking.Material and methodsWe reviewed every patient that had his mpMRI, MRI guided in bore biopsy and radical prostatectomy performed in our hospital between November 2015 and December 2020. The diagnostic performances of both mpMRI and MRI targeted biopsy in sampling PIRADS index lesions were studied, using radical prostatectomy specimens as the gold standard. Sensitivity, specificity, positive predictive value and negative predictive value of mpMRI for detecting T3 stage, extra-capsular extension, seminal vesicles involvement and lymph node disease were also evaluated.ResultsSixty-two met our inclusion criteria. For PIRADS≥3 lesions, sensitivity and positive predictive value for detecting clinically significant CaP were of 83.5% and 94.7%. A total of 32.2% prostate cancers on targeted biopsy were upgraded on final pathology, with an upgrading to ISUP≥2 in 3.2% and to ISUP≥3 in 14.5%. A total of 20.9% of cancers were downgraded but without any downgrading to ISUP 1. When final pathology is taken as a gold standard, sensitivity of mpMRI was 31.8% for T3 staging prediction, 30.0% for extra-capsular extension, 28.7% for seminal vesicles involvement and 66.7% for lymph node disease prediction. Specificity was 89.3%, 93.1%, 95.3%, and 92.7%, respectively.ConclusionmpMRI has an acceptable accuracy for the prediction of significant CaP and index lesion detection but is unreliable for CaP staging. Comparison between pathology and biopsy results revealed that the in-bore biopsy technique has an upgrading and downgrading rate comparable in the literature to fusion biopsy, but higher than the combined biopsy approach.     

Extracapsular extension on multiparametric magnetic resonance imaging better predicts pT3 disease at radical prostatectomy compared to perineural invasion on biopsy

IntroductionRisk assessment for non-organ-confined prostate cancer (PCa) is important in the surgical planning for radical prostatectomy (RP). Perineural invasion (PNI) on prostate biopsy has been associated with adverse pathological outcomes at prostatectomy. Similarly, the identification of suspected extracapsular extension (ECE) on multiparametric magnetic resonance imaging (mpMRI) has been shown to predict non-organ-confined disease. However, no prior study has compared these factors in predicting adverse pathology at prostatectomy. We evaluated mpMRI ECE and prostate biopsy PNI on multivariable analysis to determine their ability to predict pathological stage at time of RP.MethodsWe retrospectively investigated the prostatectomy database at our institution to identify men who underwent prostate biopsy with pre-biopsy mpMRI and subsequent RP from 2013–2017. Multivariable regression analysis was performed to compare the association of mpMRI ECE (mECE) and PNI on prostate biopsy on the likelihood of finding pT3 disease on pathology post-prostatectomy.ResultsOf a total 454 RP between 2013 and 2017, 191 patients met our inclusion criteria. Stage pT2 and pT3+ were found in 120 (62.8%) and 71 (37.2%) patients, respectively. Patients with mECE had 4.84 cumulative odds of worse pathological stage on RP (p=0.045) compared to PNI on biopsy, which showed cumulative odds of 2.25 (p=0.048). When controlling only for those patients without PNI, mECE was still found to be a significant predictor of pT3 disease at RP (p=0.030); however, in patients without mECE, PNI was not significant (p=0.062).ConclusionsWhile mECE and biopsy PNI were both associated with worse pathological stage on RP, mECE had significantly higher cumulative odds compared to PNI. The significant predictive ability of mECE adds further clinical value to the use of mpMRI in PCa management. While validation in a larger cohort is required, these factors have important clinical implications with regards to early diagnosis of advanced disease and surgical planning.     

The stanford prostate cancer calculator: Development and external validation of online nomograms incorporating PIRADS scores to predict clinically significant prostate cancer

BackgroundWhile multiparametric MRI (mpMRI) has high sensitivity for detection of clinically significant prostate cancer (CSC), false positives and negatives remain common. Calculators that combine mpMRI with clinical variables can improve cancer risk assessment, while providing more accurate predictions for individual patients. We sought to create and externally validate nomograms incorporating Prostate Imaging Reporting and Data System (PIRADS) scores and clinical data to predict the presence of CSC in men of all biopsy backgrounds.MethodsData from 2125 men undergoing mpMRI and MR fusion biopsy from 2014 to 2018 at Stanford, Yale, and UAB were prospectively collected. Clinical data included age, race, PSA, biopsy status, PIRADS scores, and prostate volume. A nomogram predicting detection of CSC on targeted or systematic biopsy was created.ResultsBiopsy history, Prostate Specific Antigen (PSA) density, PIRADS score of 4 or 5, Caucasian race, and age were significant independent predictors. Our nomogram—the Stanford Prostate Cancer Calculator (SPCC)—combined these factors in a logistic regression to provide stronger predictive accuracy than PSA density or PIRADS alone. Validation of the SPCC using data from Yale and UAB yielded robust AUC values.ConclusionsThe SPCC combines pre-biopsy mpMRI with clinical data to more accurately predict the probability of CSC in men of all biopsy backgrounds. The SPCC demonstrates strong external generalizability with successful validation in two separate institutions. The calculator is available as a free web-based tool that can direct real-time clinical decision-making.     

A magnetic resonance imaging-based nomogram for predicting clinically significant prostate cancer at radical prostatectomy

PurposeTo develop a nomogram incorporating clinical and multiparametric magnetic resonance imaging (mpMRI) parameters for the detection of clinically significant prostate cancer (csCaP) at radical prostatectomy (RP).Materials and MethodsWe retrospectively analyzed all consecutive patients who underwent robotic RP between 2016 and 2020. All patients underwent a 1.5-T mp-MRI according to the PI-RADS-v2 scoring system. RP specimens were examined with the whole-mount technique. csCaP definition: any tumor with a volume larger than 0.5 cm³ or with a Gleason score ≥7. Univariable logistic regression models explored the association between clinical and imaging data and the risk of csCaP. Significant variables (P < 0.05) were selected into multivariable regression models to identify independent predictors. A nomogram was designed to select the significant relevant predictors. The nomogram was internally validated in terms of discrimination and calibration. Receiver operating characteristics of the area under the curve was used to assess the discrimination ability of the nomogram. To assess the predictive performance of mpMRI, the accuracy of the mpMRI-based nomogram was compared with that excluding either PI-RADS score or mpMRI IL size.ResultsThe analysis involved 393 patients. The median age was 65(9) years. The median prostate specific antigen was 5.81(3.76) ng/ml. 363 had csCaP. PI-RADS v2 score of 4-5, prostate specific antigen density of 0.15 or more, and mpMRI index lesion (IL) size were significantly associated with csCaP in the multivariable regression analyses. Based on these variables, a diagnostic model was developed. The full model yielded an area under the curve of 0.77 (95%CI:0.75–0.80) which was significantly better than those excluding mpMRI findings (P = 0.02) Decision curve analysis showed a slight but significant net benefit associated with the use of the mp-MRI based nomograms compared with those excluding either PI-RADS score (Delta net benefit 0.0278) or mpMRI maximum IL size (Delta net benefit 0.0111).ConclusionsThe nomogram constructed in this study can assist urologists in assessing an individual's risk of csCaP at RP.     

Magnetic resonance imaging radiomic features for recurrent prostate cancer following proton radiation therapy–A pilot study

ObjectiveThe role of multiparametric MRI (mp-MRI) for postproton radiation evaluation is unclear. In this pilot study, we characterize the mp-MRI features using the Prostate Imaging-Reporting and Data System (PI-RADS) for recurrent prostate cancer (PCa) following proton radiation therapy.MethodsAfter obtaining IRB approval, we identified 163 consecutive cases who underwent MRI-fusion prostate biopsy at our institution from November 2017 to May 2020. This study evaluated patients with prostate cancer (PCa) with biochemical recurrence following proton radiation. Patients were excluded if they had grossly metastatic disease, metal fragments, implanted devices, or with surgically removed prostates. The mpMRI studies were reviewed in depth and scored by 2 fellowship-trained radiologists. Following MRI-fusion biopsy of lesions of interest (LOI), slides were read by fellowship-trained pathologists.ResultsWe found 14 patients with 16 lesions who met the study inclusion criteria. The median age was 69 years (range 57–79) and median time to biochemical recurrence was 7.3 years (range 3–13). On post-treatment imaging, decreases in prostate size and diffusely decreased T2 signal intensity were observed, making the use of apparent diffusion coefficient (ADC) and early enhancement at dynamic contrast enhanced (DCE) imaging often necessary for diagnosis of disease recurrence. We identified a total of 16 lesions with PIRADS scores of 3 or higher. Of these lesions, there were 5 PIRADS 3 lesions (4/5 (80%) without prostate cancer), 7 PIRADS 4-5 lesions (6 (86%) had high risk Pca), and 4 lesions with unassigned PIRADS scores (100% had high risk cancers). Among the MRI variables, diffusion weighted imaging (DWI) heterogeneity had the strongest association with recurrence of PCa (P < 0.001).ConclusionsResults of our pilot study showed that the PIRADS scoring system in the postproton radiation therapy setting has some correlations with prostate cancer recurrence; However, the clinical value of these findings are unclear. While definitive PIRADS categorization of lesions demonstrated expected frequency of cancer consistent with the scoring system, all unassigned lesions also harbored malignancy suggesting a cautious approach to PIRADS scoring system in postproton radiation setting. The findings from this study may be validated using a larger cohort.     

A novel nomogram combined PIRADS v2 and neutrophil-to-lymphocyte ratio to predict the risk of clinically significant prostate cancer in men with PSA < 10 ng/ml at first biopsy

ObjectiveTo determine whether Prostate Imaging-Reporting and Data System version 2 (PIRADS v2) and neutrophil-to-lymphocyte ratio(NLR) improve the detection of clinically significant prostate cancer(csCaP) in men with prostate-specific antigen (PSA) <10 ng/ml at first biopsy.MethodsUnivariable and multivariable binary logistic regression analysis were used to screen for independent risk factors of csCaP. The multivariable model based on the risk factors was to build the nomogram predicting csCaP and assessed by receiver operator characteristic curve analysis, calibration plot, and decision curve analysis.ResultsThis retrospective study included 335 men with PSA < 10 ng/ml who underwent initial biopsy. A total of 78 (23.3%) men had csCaP. The nomogram was built based on the multivariable model including age, digital rectal examination, free prostate-specific antigen, PIRADS v2, and NLR. It had high area under the curve of 0.876 and was well calibrated in internal validation. Decision curve analysis also demonstrated that it would improve the prediction of csCaP.ConclusionPIRADS v2 and NLR improve the detection of csCaP in men with PSA < 10 ng/ml at first biopsy. Due to lack of external validation, relatively small cohort and homogenous population, the study has several limitations. Despite of this, the nomogram based on our study is a promising tool for patients to understand their risk of csCaP and for urologists to make clinical decisions.     

How to optimize follow-up in patients with a suspicious multiparametric MRI and a subsequent negative targeted prostate biopsy. Results from a large,single-institution series

ObjectiveWe aimed at optimizing the follow-up for patients with a positive multiparametric magnetic resonance of the prostate (mpMRI) and a subsequent negative targeted biopsy (TBx) plus systematic biopsy (SBx).Materials and methodsA total of 308 men with a clinical suspicion of PCa and a positive mpMRI (PI-RADS ≥ 3) with concomitant negative systematic and targeted Bx performed at a single tertiary referral center. All patients were then followed with serial PSA measurements, digital rectal examination and eventual follow-up mpMRI and/or repeat Bx. The primary outcome was to evaluate the overall clinically significant PCa (csPCa)-free survival. The secondary outcome was to assess the role of a repeat mpMRI (Fu-mpMRI) and PSA density as predictors of csPCa diagnosis (defined as Gleason score ≥ 3 + 4) during follow-up. Kaplan Meier analysis and univariable Cox regression were used for survival and predictive analyses.ResultsMedian follow-up was 31 months (IQR: 23–43). During the study period 116 (37.7%) and 68 (22.1%) of men received a Fu-mpMRI and a Fu-Bx, respectively. Overall, 51 (16.6%) and 15 (4.9%) patients had a positive mpMRI and clinically significant (csPCa) diagnosis during follow-up, respectively. Among 68 men who received a Fu-Bx, the 2- and 3-years csPCa diagnosis-free survival in men with negative vs. positive Fu-mpMRI was 97% vs. 65% and 92% vs. 65%, respectively. At univariate Cox-regression analysis the presence of a positive Fu-mpMRI resulted to be significantly associated with the presence of csPCa at Fu-Bx (HR: 5.8, 95% CI: 1.3–26.6, P = 0.008). The 2- and 3-years csPCa diagnosis-free survival in men with PSAd <0.15 vs. ≥0.15 was 89% vs. 77%, and 86% vs. 66%, respectively (HR: 2.6, 95% CI: 0.75–8.87, P = 0.13). The combination of negative Fu-mpMRI and PSAd<0.15 furtherly reduced the probability of csPCa diagnosis at Fu-Bx at only 6% at 3years (HR: 9.9, 95% CI: 1.9–38.6, P < 0.001) in this subgroup of patients.ConclusionsAfter a negative TBx for a positive mpMRI, more than half of Fu-mpMRI were negative. A persistent positive mpMRI was associated with a significant risk of csPCa. The risk of csPCa diagnosis in men with negative mpMRI performed after negative TBx and low PSAd was negligible.     

Which men with non-malignant pathology at magnetic resonance imaging-targeted prostate biopsy and persistent PI-RADS 3-5 lesions should repeat biopsy?

PurposeTo assess predictors of clinically significant (cs) prostate cancer (PCa) in men who had a non-malignant Multiparametric magnetic resonance imaging (mpMRI)-targeted biopsy and persistent Prostate Imaging-Reporting Data System (PI-RADS) 3 to 5 lesions in subsequent mpMRI.Materials and MethodsWe retrospectively analyzed MRI-targeted biopsy database in three centers. Inclusion criteria: persistence of at least one PI-RADS ≥3 lesion found negative for cancer in a previous MRI-targeted plus systemic biopsy (baseline biopsy). Exclusion criteria: downgrading to PI-RADS 1-2. A logistic regression analysis was performed to estimate the predictors of csPCa.ResultsFifty-seven patients were included. Median interval between biopsies was 12.9(2.43) months. Median age was 68.0(12) years. Median PSA was 7.0(5.45) ng/ml. At follow-up, 24.6%, 54.4%, and 21% of patients had a PI-RADS score 3, 4, and 5 index lesion (IL), respectively. At re-biopsy, 28/57(49.1%) men were found to harbor PCa. Among these, 22(78.6%) had csPCa. csPCa was found outside the IL in only 2 patients. Eleven, 13, and 5 patients with PI-RADS 3, 4, and 5, respectively, had no cancer. Three patients with a PI-RADS 3 lesion had cancer (2 with Gleason score 3+3, 1 with Gleason score 3+4). 14/43 men with a PI-RADS 4/5 lesion harbored Gleason score ≥3+4 PCa. Logistic regression analysis found that PSA (HR 1.281, 95% CI: 1.013–1.619, P = 0.039) and IL size (HR 1.146, 95% CI: 1.018–1.268, P = 0.041) were the predictors of csPCa at re-biopsy.ConclusionsPatients with non-malignant pathology from PI-RADS ≥3 lesions targeted biopsy should be follow-up with mpMRI, and those with persistent PI-RADS 4 to 5 lesions should repeat MRI-targeted and systematic biopsy.     

Detection of clinically significant prostate cancer by transperineal multiparametric magnetic resonance imaging-ultrasound fusion targeted prostate biopsy in smaller prostates

PurposeTransperineal (TP) multiparametric magnetic resonance imaging (mpMRI)-targeted biopsy (TBx) has been shown to detect more clinically significant (cs) prostate cancer (PCa) than standard template biopsies (SBx). Current data supports the inclusion of both TBx and SBx in obtaining an optimal csPCa detection rate. We compared csPCa detection rates in patients with different prostate volumes to examine the benefit of performing TBx in smaller prostates through the TP approach.MethodsWe identified all men who with suspicious lesions on mpMRI and underwent TP TBx (3-core) and concomitant SBx (20-core) in our single hospital from September 2019 to February 2021. Clinical, MRI and biopsy pathological characteristics were evaluated and compared between TBx and SBx. Grade group 2 or greater prostate adenocarcinoma was defined as csPCa.ResultsThree hundred and one (n = 301) men were included. The median prostate volume by MRI was 45 ml. The patients were divided by prostate volume into three groups: ≤30ml group (19.9%), >30 to ≤45 ml group (31.3%) and >45ml group (48.8%). Patients in the ≤30ml group showed significantly higher frequency of combined (both TBx and/or SBx) csPCa detection rate (65.0%) than patients in the >45ml group (39.5%) but similar frequency to the >30 to ≤45 ml group (54.2%,). By TBx only (55.0% vs 27.9%) or by SBx only (56.7% vs. 34.0%), patients in the ≤30ml group consistently showed significantly higher rates of csPCa detection than patients in the >45 ml group. In the ≤30ml group, the detection rate of csPCa was comparable by TBx, SBx or when combined. Four of 6 csPCa cases missed by TBx but detected by SBx were present at the base location.ConclusionOur data suggest that performing TBx with limited additional cores may potentially achieve the same csPCa detection rate as the combined SBx and TBx in smaller prostates.     

Fusion prostate biopsy outperforms 12-core systematic prostate biopsy in patients with prior negative systematic biopsy: A multi-institutional analysis

Introduction and objectives

Patients with persistently elevated prostate specific antigen (PSA) and prior negative 12-core TRUS prostate biopsy (or biopsies) (systematic biopsy—SBx) are a diagnostic challenge. Repeat SBx or saturation biopsy in this cohort has been shown to have an even lower yield. The aim of our study is to compare the prostate cancer yield of magnetic resonance imaging (MRI) fusion biopsy (FBx) to SBx in a multi-institutional cohort comprised of patients with prior negative biopsies.

Optimal sampling scheme in men with abnormal multiparametric MRI undergoing MRI-TRUS fusion prostate biopsy

Objectives

To determine the implications of different prostate sampling schemes on the diagnosis of clinically significant prostate cancer (csPCA, ISUP group 2–5) and clinically insignificant prostate cancer (ciPCA, ISUP group 1) in men with abnormal multiparametric magnetic resonance imaging (mpMRI) undergoing MRI-transrectal ulrasound fusion targeted biopsies.

The additive value of mpMRI on prostate cancer detection: Comparison between patients with and without a suspicious digital rectal examination (DRE)

PurposeDiagnosis of prostate cancer (CaP) is based on digital rectal examination (DRE) and/or elevated prostate specific antigen (PSA) level. This approach lacks sensitivity and specificity and is associated with many negative biopsies, high rate of diagnosing clinically insignificant disease and lacks accuracy to predict clinically significant (CS) cancer. The addition of multiparametric magnetic resonance imaging (mpMRI) before prostate biopsy reduces the detection of low-grade tumors while improving the detection of CS CaP. Most studies that evaluated mpMRI performance did not separate the DRE status of the examined patients. Therefore, the aim of our study is to investigate whether mpMRI provides similar advantages in detection of CaP according to the DRE findings.Materials and MethodsThis prospective study included patients with clinically suspected CaP that were referred to MRI-fusion biopsy from 2014 to 2019. All patients had mpMRI of the prostate with an index lesion of PIRADS ≥3. Analysis was done comparing systemic and targeted biopsy. Patients were divided into two groups according to the DRE findings (positive or negative DRE) and the primary outcomes were compared between the 2 study groups: detection rate of CaP and the detection rate of CS disease defined as Gleason score ≥ 7.ResultsThe final study cohort included 86 patients: 47 with negative DRE and 39 with positive DRE. Overall cancer detection rate was higher in patients with a positive DRE (70.3% vs 48.9%, P <0.05). In the region of interest a higher overall detection rate and of CS disease was found in those with abnormal DRE (51.3% vs. 40.4% and 48.6% vs. 34.0% respectively). The systematic biopsy analysis showed an overall lower detection rate in the negative DRE group (8.5% vs. 18.9 %). The targeted biopsies detected more cancer and significant tumors per core in patients with positive DRE (29.2% vs. 18.5% and 22.1% vs. 14.5% respectively).ConclusionsPatients submitted to fusion biopsy and have a positive DRE are diagnosed more often with CaP, have higher grade disease and larger tumors. In patients suspicious for CaP and having a significant lesion on mpMRI one should combine targeted and systematic biopsy regardless of the DRE status.     

Comparing 3-T multiparametric MRI and the Partin tables to predict organ-confined prostate cancer after radical prostatectomy

ObjectivesThe purpose of our study was to test our hypothesis that multiparametric magnetic resonance imaging (mpMRI) may have a higher prognostic accuracy than the Partin tables in predicting organ-confined (OC) prostate cancer and extracapsular extension (ECE) after radical prostatectomy (RP).Methods and materialsAfter institutional review board approval, we retrospectively reviewed 60 patients who underwent 3-T mpMRI before RP. mpMRI was used to assess clinical stage and the updated version of the Partin tables was used to calculate the probability of each patient to harbor OC disease. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of mpMRI in detecting OC and ECE were calculated. Logistic regression models predicting OC pathology were created using either clinical stage at mpMRI or Partin tables probability. The area under the curve was used to calculate the predictive accuracy of each model.ResultsMedian prostate-specific antigen level at diagnosis was 5 ng/ml (range: 4.1–6.7 ng/ml). Overall, 52 (86.7%) men had cT1 disease, 7 (11.7%) had cT2a/b, and 1 (1.6%) had cT3b at digital rectal examination. Biopsy Gleason score was 6, 3+4 = 7, 4+3 = 7, 8, and 9 to 10 in 28 (46.7%), 15 (25%), 3 (5%), 10 (16.7%), and 4 (6.6%) patients, respectively. At mpMRI, clinical stage was defined as cT2a/b, cT2c, cT3a, and cT3b in 11 (18.3%), 23 (38.3%), 21 (35%), and 5 (8.4%) patients, respectively. At final pathology, 38 men (63.3%) had OC disease, whereas 18 (30%) had ECE and 4 (6.7%) had seminal vesicle invasion.The sensitivity, specificity, PPV, and NPV of mpMRI in detecting OC disease were 81.6%, 86.4%, 91.2%, and 73.1%, respectively, whereas in detecting ECE were 77.8%, 83.4%, 66.7%, and 89.7%, respectively. At logistic regression, both the Partin tables–derived probability and the mpMRI clinical staging were significantly associated with OC disease (all P<0.01). The area under the curves of the model built using the Partin tables and that of the mpMRI model were 0.62 and 0.82, respectively (P = 0.04).ConclusionsThe predictive accuracy of mpMRI in predicting OC disease on pathological analysis is significantly greater than that of the Partin tables. mpMRI had a high PPV (91.2%) when predicting OC disease and a high NPV (89.7%) with regard to ECE. mpMRI should be considered when planning prostate cancer treatment in addition to readily available clinical parameters.