Predicting contralateral extraprostatic extension in unilateral high-risk prostate cancer: a multicentric external validation study.

PURPOSE: Accurate prediction of extraprostatic extension (EPE) is crucial for decision-making in radical prostatectomy (RP), especially in nerve-sparing strategies. Martini et al. introduced a three-tier algorithm for predicting contralateral EPE in unilateral high-risk prostate cancer (PCa). The aim of the study is to externally validate this model in a multicentric European cohort of patients. METHODS: The data from 208 unilateral high-risk PCa patients diagnosed through magnetic resonance imaging (MRI)-targeted and systematic biopsies, treated with RP between January 2016 and November 2021 at eight referral centers were collected. The evaluation of model performance involved measures such as discrimination (AUC), calibration, and decision-curve analysis (DCA) following TRIPOD guidelines. In addition, a comparison was made with two established multivariable logistic regression models predicting the risk of side specific EPE for assessment purposes. RESULTS: Overall, 38%, 48%, and 14% of patients were categorized as low, intermediate, and high-risk groups according to Martini et al.'s model, respectively. At final pathology, EPE on the contralateral prostatic lobe occurred in 6.3%, 12%, and 34% of patients in the respective risk groups. The algorithm demonstrated acceptable discrimination (AUC 0.68), comparable to other multivariable logistic regression models (p = 0.3), adequate calibration and the highest net benefit in DCA. The limitations include the modest sample size, retrospective design, and lack of central revision. CONCLUSION: Our findings endorse the algorithm's commendable performance, supporting its utility in guiding treatment decisions for unilateral high-risk PCa patients.

Active surveillance for low-risk prostate cancer with high tumor burden at biopsy: lessons learned from a contemporary radical prostatectomy cohort.

INTRODUCTION: To investigate whether initial tumor burden at biopsy could predict adverse features after radical prostatectomy (RP) in International Society of Urological Pathology (ISUP) 1 prostate cancer (PCa) patients. METHODS: This retrospective study was conducted in six referral centers. The cohort included patients with ISUP 1 PCa at systematic and MRI-targeted biopsy. We defined a high tumor burden at biopsy if ≥ 20% of cores were positive. The endpoint of the study was adverse features at RP, defined as ≥ pT3a stage and/or N1 and/or ISUP ≥ 3. Sensitivity analyses were performed to assess associations between different thresholds on biopsy (percentage of positive cores [PPC] ≥ 25%, ≥ 33%, ≥ 50%, bilateral positivity and positive cores > 3) and adverse features. As the number of targeted biopsies sampled may influence the number of positive cores, we used a virtual biopsy model in which all targeted biopsy results were interpreted as a single targeted biopsy. RESULTS: A total of 312 contemporary patients were included. At final pathology, 99 patients (32%) had adverse features. In multivariate logistic regression analysis, there was no statistical association between PPC > 20% and adverse features (OR = 1.22; 95%CI:0.69-2.22, p = 0.5). In sensitivity analysis, tumor burden at biopsy was not associated with the risk of adverse features, regardless of the definition used (all p > 0.05). When we considered a unique virtual targeted biopsy, tumor burden remained not associated with adverse features (all p > 0.05). CONCLUSIONS: ISUP 1 PCa tumor burden at biopsy did not predict adverse features in this study, suggesting that it should not be used alone as an exclusion criterion when assessing eligibility for active surveillance.

Transrectal versus transperineal prostate fusion biopsy: a pair-matched analysis to evaluate accuracy and complications.

PURPOSE: To evaluate biopsy-related complications and detection rates of any PCa and clinically significant PCa (csPCa, intended as grade group ≥ 2) between MRI-targeted TP fusion biopsies (TPBx) and TR ones (TRBx). METHODS: We performed a multicentric study on 4841 patients who underwent fusion biopsy between 2016 and 2023. A case-control matching was performed to find comparable cohorts of 646 TPBx and 646 TRBx. Mean T test and Pearson chi-square tests were used to compare continuous and categorical variables. RESULTS: Baseline characteristics were comparable between the cohorts, except for target location with a higher rate of anterior lesions in TPBx group. Complications were rare and no difference was found between the groups, with similar rates of infections after TRBx and TPBx (N = 5 (0.8%) vs N = 2 (0.3%), p 0.45). All patients in TRBx and 90.1% in TPBx group received antibiotic prophylaxis. A higher csPCa detection rate was found in TPBx over the group (50.5% vs 36.2%, p < 0.001). On average, positive targeted cores were increased in TPBx group, for any PCa (1.6 vs 1.4, p 0.04) and csPCa (1.0 vs 0.8, p 0.02). Among the limitations of study, we acknowledge the retrospective design and the possible under-reporting of complications. CONCLUSIONS: MRI-targeted fusion TPBx achieves a significantly higher csPCa detection than TRBx, with a diagnostic advantage for apical and anterior lesions. No significant differences were found in terms of complications that were rare in both groups, considering a widespread adoption of antibiotic prophylaxis.

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.

The impact of prostate volume estimation on the risk-adapted biopsy decision based on prostate-specific antigen density and magnetic resonance imaging score.

PURPOSE: Utility of prostate-specific antigen density (PSAd) for risk-stratification to avoid unnecessary biopsy remains unclear due to the lack of standardization of prostate volume estimation. We evaluated the impact of ellipsoidal formula using multiparametric magnetic resonance (MRI) and semi-automated segmentation using tridimensional ultrasound (3D-US) on prostate volume and PSAd estimations as well as the distribution of patients in a risk-adapted table of clinically significant prostate cancer (csPCa). METHODS: In a prospectively maintained database of 4841 patients who underwent MRI-targeted and systematic biopsies, 971 met inclusions criteria. Correlation of volume estimation was assessed by Kendall's correlation coefficient and graphically represented by scatter and Bland-Altman plots. Distribution of csPCa was presented using the Schoots risk-adapted table based on PSAd and PI-RADS score. The model was evaluated using discrimination, calibration plots and decision curve analysis (DCA). RESULTS: Median prostate volume estimation using 3D-US was higher compared to MRI (49cc[IQR 37-68] vs 47cc[IQR 35-66], p < 0.001). Significant correlation between imaging modalities was observed (τ = 0.73[CI 0.7-0.75], p < 0.001). Bland-Altman plot emphasizes the differences in prostate volume estimation. Using the Schoots risk-adapted table, a high risk of csPCa was observed in PI-RADS 2 combined with high PSAd, and in all PI-RADS 4-5. The risk of csPCa was proportional to the PSAd for PI-RADS 3 patients. Good accuracy (AUC of 0.69 and 0.68 using 3D-US and MRI, respectively), adequate calibration and a higher net benefit when using 3D-US for probability thresholds above 25% on DCA. CONCLUSIONS: Prostate volume estimation with semi-automated segmentation using 3D-US should be preferred to the ellipsoidal formula (MRI) when evaluating PSAd and the risk of csPCa.

Risk stratification for early biochemical recurrence of prostate cancer in the era of multiparametric magnetic resonance imagining-targeted biopsy.

BACKGROUND: Multiparametric magnetic resonance imaging (MRI) and MRI-targeted biopsy are nowadays recommended in the prostate cancer (PCa) diagnostic pathway. Ploussard and Mazzone have integrated these tools into novel risk classification systems predicting the risk of early biochemical recurrence (eBCR) in PCa patients who underwent radical prostatectomy (RP). We aimed to assess available risk classification systems and to define the best-performing. METHODS: Data on 1371 patients diagnosed by MRI-targeted biopsy and treated by RP between 2014 and 2022 at eight European tertiary referral centers were analyzed. Risk classifications systems included were the European Association of Urology (EAU) and National Comprehensive Cancer Network (NCCN) risk groups, the Cancer of the Prostate Risk Assessment (CAPRA) score, the International Staging Collaboration for Cancer of the Prostate (STAR-CAP) classification, the Ploussard and Mazzone models, and ISUP grade group. Kaplan-Meier analyses were used to compare eBCR among risk classification systems. Performance was assessed in terms of discrimination quantified using Harrell's c-index, calibration, and decision curve analysis (DCA). RESULTS: Overall, 152 (11%) patients had eBCR at a median follow-up of 31 months (interquartile range: 19-45). The 3-year eBCR-free survival rate was 91% (95% confidence interval [CI]: 89-93). For each risk classification system, a significant difference among survival probabilities was observed (log-rank test p < 0.05) except for NCCN classification (p = 0.06). The highest discrimination was obtained with the STAR-CAP classification (c-index 66%) compared to CAPRA score (63% vs. 66%, p = 0.2), ISUP grade group (62% vs. 66, p = 0.07), Ploussard (61% vs. 66%, p = 0.003) and Mazzone models (59% vs. 66%, p = 0.02), and EAU (57% vs. 66%, p < 0.001) and NCCN (57% vs. 66%, p < 0.001) risk groups. Risk classification systems demonstrated good calibration characteristics. At DCA, the CAPRA score showed the highest net benefit at a probability threshold of 9%-15%. CONCLUSIONS: The performance of risk classification systems using MRI and MRI-targeted information was less optimistic when tested in a contemporary set of patients. CAPRA score and STAR-CAP classification were the best-performing and should be preferred for treatment decision-making.

Accuracy of elastic fusion biopsy: Comparing prostate cancer detection between targeted and systematic biopsy.

INTRODUCTION: When performing targeted biopsy (TBx), the need to add systematic biopsies (SBx) is often debated. Aim of the study is to evaluate the added value of SBx in addition to TBx in terms of prostate cancer (PCa) detection rates (CDR), and to test the concordance between multiparametric magnetic resonance imaging (mpMRI) findings and fusion biopsy results in terms of cancer location. METHODS: We performed a retrospective, multicentric study that gathered data on 1992 consecutive patients who underwent elastic fusion biopsy between 2011 and 2020. A standardized approach was used, with TBx (2-4 cores per target) followed by SBx (12-14 cores). We assessed CDR of TBx, of SBx, and TBx+SBx for all cancers and clinically significant PCa (csPCa), defined as ISUP score ≥2. CDR was evaluated according to radiological and clinical parameters, with a particular focus on PI-RADS 3 lesions. In a subgroup of 1254 patients we tested the discordance between mpMRI findings and fusion biopsy results in terms of cancer location. Uni- and multivariable logistic regression analyses were performed to identify predictors of CDR. RESULTS: CDR of TBx+SBx was 63.0% for all cancers and 38.8% of csPCa. Per-patient analysis showed that SBx in addition to TBx improved CDR by 4.5% for all cancers and 3.4% for csPCa. Patients with lesions scored as PI-RADS 3, 4, and 5 were diagnosed with PCa in 27.9%, 72.8%, and 92.3%, and csPCa in 10.7%, 43.6%, and 69.3%, respectively. When positive, PI-RADS 3 lesions were ISUP grade 1 in 61.1% of cases. Per-lesion analysis showed that discordance between mpMRI and biopsy was found in 56.6% of cases, with 710 patients having positive SBx outside mpMRI targets, of which 414 (58.0%) were clinically significant. PSA density ≥0.15 was a strong predictor of CDR. CONCLUSIONS: The addition of systematic mapping to TBx contributes to a minority of per-patient diagnoses but detects a high number of PCa foci outside mpMRI targets, increasing biopsy accuracy for the assessment of cancer burden within the prostate. High PSA-density significantly increases the risk of PCa, both in the whole cohort and in PI-RADS 3 cases.

Micro-ultrasound-guided biopsies versus systematic biopsies in the detection of prostate cancer: a systematic review and meta-analysis.

PURPOSE: The diagnosis of prostate cancer (PCa) still relies on the performance of both targeted (TB) and systematic biopsies (SB). Micro-ultrasound (mUS)-guided biopsies demonstrated a high sensitivity in detecting clinically significant prostate cancer (csPCa), which could be comparable to that of magnetic resonance imaging (MRI)-TB, but their added value has not been compared to SB yet. METHODS: We conducted a systematic review and meta-analysis, based on Medline, EMBASE, Scopus, and Web of Science, in accordance with PRISMA guidelines, to compare mUS-guided biopsies to SB. RESULTS: Based on the literature search of 2957 articles, 15 met the inclusion criteria (2967 patients). Most patients underwent mUS-guided biopsies, followed by MRI-TB and SB. Respectively 5 (n = 670) and 4 (n = 467) studies, providing raw data on SB, were included in a random-effect meta-analysis of the detection rate of csPCa, i.e. Gleason Grade Group (GGG) ≥ 2 or non-csPCa (GGG = 1). Overall, PCa was detected in 56-71% of men, with 31.3-49% having csPCa and 17-25.4% having non-csPCa. Regarding csPCa, mUS-guided biopsies identified 196 and SB 169 cases (Detection Ratio (DR): 1.18, 95% CI 0.83-1.68, I2 = 69%), favoring mUS-guided biopsies; regarding non-csPCa, mUS-guided biopsies identified 62 and SB 115 cases (DR: 0.55, 95% CI 0.41-0.73, I2 = 0%), also favoring mUS-guided biopsies by decreasing unnecessary diagnosis. CONCLUSION: Micro-ultrasound-guided biopsies compared favorably with SB for the detection of csPCa and detected fewer non-csPCa than SB. Prospective trials are awaited to confirm the interest of adding mUS-guided biopsies to MRI-TB to optimize csPCa detection without increasing overdiagnosis of non-csPCa.

What is the ideal combination therapy in de novo, oligometastatic, castration-sensitive prostate cancer?

PURPOSE: To review current evidence regarding the management of de novo, oligometastatic, castration-sensitive prostate cancer (PCa). METHODS: A literature search was conducted on PubMed/Medline and a narrative synthesis of the evidence was performed in August 2022. RESULTS: Oligometastatic disease is an intermediate state between localized and aggressive metastatic PCa defined by ≤ 3-5 metastatic lesions, although this definition remains controversial. Conventional imaging has limited accuracy in detecting metastatic lesions, and the implementation of molecular imaging could pave the way for a more personalized treatment strategy. However, oncological data supporting this strategy are needed. Radiotherapy to the primary tumor should be considered standard treatment for oligometastatic PCa (omPCa). However, it remains to be seen whether local therapy still has an additional survival benefit in patients with de novo omPCa when treated with the most modern systemic therapy combinations. There is insufficient evidence to recommend cytoreductive radical prostatectomy as local therapy; or stereotactic body radiotherapy as metastasis-directed therapy in patients with omPCa. Current data support the use of intensified systemic therapy with androgen deprivation therapy (ADT) and next-generation hormone therapies (NHT) for patients with de novo omPCa. Docetaxel has not demonstrated benefit in low volume disease. There are insufficient data to support the use of triple therapy (i.e., ADT + NHT + Docetaxel) in low volume disease. CONCLUSION: The present review discusses current data in de novo, omPCa regarding its definition, the increasing role of molecular imaging, the place of local and metastasis-directed therapies, and the intensification of systemic therapies.

Optimizing multiparametric magnetic resonance imaging-targeted biopsy and prostate cancer grading accuracy.

PURPOSE: To assess the most efficient biopsy method to improve International Society of Urological Pathology (ISUP) grade group accuracy with final pathology of the radical prostatectomy (RP) specimen in the era of magnetic resonance imaging (MRI)-driven pathway. METHODS: A total of 753 patients diagnosed by transrectal MRI-targeted and systematic biopsies (namely "standard method"), treated by RP, between 2016 and 2021 were evaluated. Biopsy methods included MRI-targeted biopsy, side-specific systematic biopsies relative to index MRI lesion and combination of both. Number of MRI-targeted biopsy cores and positive cores needed per index MRI lesion were assessed. Multivariable analysis was performed to analyze predictive factors of upgrading using MRI targeted and ipsilateral systematic biopsies method. RESULTS: Overall, ISUP grade group accuracy varied among biopsy methods with upgrading rate of 35%, 49%, 27%, and 24% for MRI targeted, systematic, MRI targeted and ipsilateral systematic biopsies and standard methods, respectively (p < 0.001). A minimum of two positive MRI-targeted biopsies cores per index MRI lesion were required when testing MRI targeted and ipsilateral systematic biopsies method to reach equivalent accuracy compared to standard method. Omitting contralateral systematic biopsies spared an average of 5.9 cores per patient. At multivariable analysis, only the number of positive MRI-targeted biopsy cores per index MRI lesion was predictive of upgrading. CONCLUSION: MRI targeted and ipsilateral systematic biopsies allowed an accurate definition of ISUP grade group and appears to be an interesting alternative when compared with standard method, reducing total number of biopsy cores needed.

Expanding inclusion criteria for active surveillance in intermediate-risk prostate cancer: a machine learning approach.

PURPOSE: To develop new selection criteria for active surveillance (AS) in intermediate-risk (IR) prostate cancer (PCa) patients. METHODS: Retrospective study including patients from 14 referral centers who underwent pre-biopsy mpMRI, image-guided biopsies and radical prostatectomy. The cohort included biopsy-naive IR PCa patients who met the following inclusion criteria: Gleason Grade Group (GGG) 1-2, PSA < 20 ng/mL, and cT1-cT2 tumors. We relied on a recursive machine learning partitioning algorithm developed to predict adverse pathological features (i.e., ≥ pT3a and/or pN + and/or GGG ≥ 3). RESULTS: A total of 594 patients with IR PCa were included, of whom 220 (37%) had adverse features. PI-RADS score (weight:0.726), PSA density (weight:0.158), and clinical T stage (weight:0.116) were selected as the most informative risk factors to classify patients according to their risk of adverse features, leading to the creation of five risk clusters. The adverse feature rates for cluster #1 (PI-RADS ≤ 3 and PSA density < 0.15), cluster #2 (PI-RADS 4 and PSA density < 0.15), cluster #3 (PI-RADS 1-4 and PSA density ≥ 0.15), cluster #4 (normal DRE and PI-RADS 5), and cluster #5 (abnormal DRE and PI-RADS 5) were 11.8, 27.9, 37.3, 42.7, and 65.1%, respectively. Compared with the current inclusion criteria, extending the AS criteria to clusters #1 + #2 or #1 + #2 + #3 would increase the number of eligible patients (+ 60 and + 253%, respectively) without increasing the risk of adverse pathological features. CONCLUSIONS: The newly developed model has the potential to expand the number of patients eligible for AS without compromising oncologic outcomes. Prospective validation is warranted.

Intra-operative fluorescence-based detection of positive surgical margins during radical prostatectomy: Lessons learned from a pilot ex vivo translational study.

OBJECTIVES: Nerve-sparing techniques during radical prostatectomy have been associated with an increased risk of positive surgical margins. The intra-operative detection of residual prostatic tissue could help mitigate this risk. The objectives of the present study were to assess the feasibility of using an anti-prostate-specific membrane antigen (anti-PSMA) antibody conjugated with a fluorophore to characterize fresh prostate tissue as prostatic or non-prostatic for intra-operative surgical margin detection. METHODS: Fresh prostatic tissue samples were collected from transurethral resections of the prostate (TURP) or prostate biopsies, and either immunolabelled with anti-PSMA antibody conjugated with Alexa Fluor 488 or used as controls. A dedicated, laparoscopy-compliant fluorescence device was developed for real-time fluorescence detection. Confocal microscopy was used as the gold standard for comparison. Spectral unmixing was used to distinguish specific, Alexa Fluor 488 fluorescence from nonspecific autofluorescence. RESULTS: The average peak wavelength of the immuno-labeled TURP samples (n = 4) was 541.7 ± 0.9 nm and of the control samples (n = 4) was 540.8 ± 2.2 nm. Spectral unmixing revealed that these similar measures were explained by significant autofluorescence, linked to electrocautery. Three biopsy samples were then obtained from seven patients and also displayed significant nonspecific fluorescence, raising questions regarding the reproducibility of the fixation of the anti-PSMA antibodies on the samples. Comparing the fluorescence results with final pathology proved challenging due to the small sample size and tissue alterations. CONCLUSIONS: This study showed similar fluorescence of immuno-labeled prostate tissue samples and controls, failing to demonstrate the feasibility of intra-operative margin detection using PSMA immuno-labeling, due to marked tissue autofluorescence. We successfully developed a fluorescence device that could be used intraoperatively in a laparoscopic setting. Use of the infrared range as well as newly available antibodies could prove interesting options for future research.

Who Is at Risk of Death after Renal Trauma? An Analysis of Thirty-Day Mortality after 1,799 Cases of Renal Trauma.

INTRODUCTION: The aim of the study was to report the 30-day mortality (30DM) after renal trauma and identify the risk factors associated with death. METHODS: The TRAUMAFUF project was a retrospective multi-institutional study including all patients with renal trauma admitted to 17 French hospitals between 2005 and 2015. The included population focused on patients of all age groups who underwent renal trauma during the study period. The primary outcome was death within 30 days following trauma. The multivariate logistic regression model with a stepwise backward elimination was used to identify predictive factors of 30DM. RESULTS: Data on 1,799 renal trauma were recorded over the 10-year period. There were 59 deaths within 30 days of renal trauma, conferring a 30DM rate of 3.27%. Renal trauma was directly involved in 5 deaths (8.5% of all deaths, 0.3% of all renal trauma). Multivariate stepwise logistic regression analysis revealed that age >40 years (odds ratio [OR] 2.18; 95% confidence interval [CI]: 1.20-3.99; p = 0.01), hemodynamic instability (OR 4.67; 95% CI: 2.49-9; p < 0.001), anemia (OR 3.89; 95% CI: 1.94-8.37; p < 0.001), bilateral renal trauma (OR 6.77; 95% CI: 2.83-15.61; p < 0.001), arterial contrast extravasation (OR 2.09; 95% CI: 1.09-3.96; p = 0.02), and concomitant visceral and bone injuries (OR 6.57; 95% CI: 2.41-23.14; p < 0.001) were independent predictors of 30DM. CONCLUSION: Our large multi-institutional study supports that the 30DM of 3.27% after renal trauma is due to the high degree of associated injuries and was rarely a consequence of renal trauma alone. Age >40 years, hemodynamic instability, anemia, bilateral renal trauma, arterial contrast extravasation, and concomitant visceral and bone lesions were predictors of death. These results can help clinicians to identify high-risk patients.

Pathological features of Prostate Imaging Reporting and Data System (PI-RADS) 3 MRI lesions in biopsy and radical prostatectomy specimens.

OBJECTIVE: To assess the whole pathology spectrum of Prostate Imaging Reporting and Data System (PI-RADS) 3 lesions, identified on magnetic resonance imaging, using systematic (SB), targeted biopsy (TB) and radical prostatectomy (RP) specimen analysis. METHODS: From a prospective database of patients undergoing RP after a combination of SB (median 12 cores) and fusion TB (median 3 cores), we included 150 PI-RADS 3 cases. Clinically significant prostate cancer (csPCa) was defined by a Grade Group 2 or more. The primary endpoints were unfavourable features in RP specimens. RESULTS: Targeted biopsy was negative in 20.7% of patients. Final Grade Group 3 or more and a pT3 stage was reported in 36.7% and 38.7% of RP specimens. The upgrading rate was 38.2% between biopsy and RP specimens. The concordance rate between Grade Group on TB and RP was only 38.0%. The two independent predictive factors for unfavourable disease (pT3-4 and/or final Grade Group 3-5) were prostate-specific antigen density (PSAD; P = 0.001) and presence of csPCa on TB (odds ratio 3.7; P = 0.001). The risk of unfavourable disease was increased 2.3-fold and 5.8-fold, respectively, for patients with a PSAD between 0.15 and 0.20, and a PSAD >0.20 ng/mL/g. The 5-year biochemical recurrence-free survival rate was 93.2%. CONCLUSIONS: PI-RADS 3 lesions exhibited aggressive features in almost 40% of cases. PSAD and presence of csPCa on TB are independent predictive factors for high-grade and/or extraprostatic disease. A combination of SB and TB improve grade prediction compared to use of TB alone.

Grade group 1 prostate cancer on biopsy: are we still missing aggressive disease in the era of image-directed therapy?

PURPOSE: Recently, Eggener et al. reignited a debate consisting to redefine Gleason Grade Group (GGG) 1 prostate cancer (PCa) as a precancerous lesion to reduce overdiagnosis and overtreatment. However, historical cohorts showed that some GGG1-labeled disease at biopsy may be underestimated by the standard PCa diagnostic workup. The aim was to assess whether the risk of adverse features at radical prostatectomy (RP) in selected GGG1 patients still exists in the era of pre-biopsy mpMRI and image-guided biopsies. METHODS: We retrospectively reviewed our data from a European RP dataset to assess in contemporary patients with GGG1 at mpMRI-targeted biopsy the rate of adverse features at final pathology, defined as ≥ pT3a and/or pN+ and/or GGG ≥ 3. RESULTS: A total of 419 patients with cT1-T2 cN0 GGG1-PCa were included. At final pathology, 143 (34.1%) patients had adverse features. In multivariate analysis, only unfavorable intermediate-risk/high-risk disease (defined on PSA or stage) was predictive of adverse features (OR 2.45, 95% CI 1.11-5.39, p = 0.02). A significant difference was observed in the 3-year biochemical recurrence-free survival between patients with and without adverse features (93.4 vs 87.8%, p = 0.026). In sensitivity analysis restricted low- and favorable intermediate-risk PCa, 122/383 patients (31.8%) had adverse features and no preoperative factors were statistically associated with this risk. CONCLUSION: In this European study, we showed that there is still a risk of underestimating GGG1 disease at biopsy despite the routine use of image-guided biopsies. Future studies are warranted to improve the detection of aggressive disease in GGG1-labeled patients by incorporating the latest tools such as genomic testing or radiomics.

Heterogeneity of contemporary grade group 4 prostate cancer in radical prostatectomy specimens.

PURPOSE: The aim was to evaluate the prognostic role of sub-categories of ISUP 4 prostate cancer (PCa) on final pathology, and assess the tumor architecture prognostic role for predicting biochemical recurrence (BCR) after radical prostatectomy. METHODS: From a prospectively-maintained database, we included 370 individuals with ISUP 4 on final pathology. The main outcomes were to evaluate the relationship between different ISUP patterns within the group 4 with pathological and oncological outcomes. Binary logistic regression and Kaplan-Meier estimator were used to evaluate the role of the different categories (3 + 5, 4 + 4, 5 + 3) and tumor architecture (intraductal and/or cribriform) on pathological and oncological outcomes. RESULTS: Among the 370 individuals with ISUP considered for the study, 9, 85 and 6% had grade 3 + 5, 4 + 4 and 5 + 3 PCa, respectively. Overall, 74% had extracapsular extension, while lymph node invasion (LNI) was documented in 9%. A total of 144 patients experienced BCR during follow-up. After adjusting for PSA, pT, grade group, LNI and positive surgical margins (PSM), grade 3 + 5 was a protective factor (HR: 0.30, 95% CI: 0.13,0.68, p = 0.004) in predicting BCR relative to grade 4 + 4. Intraductal or cribriform architecture was correlated with BCR (HR: 5.99, 95% CI: 2.68, 13.4, p < 0.001) after adjusting for PSA, pT, grade group, LNI and PSM. CONCLUSIONS: Patients with tumor grade 3 + 5 had better pathological and prognostic outcomes compared to 4 + 4 or 5 + 3. When accounting for tumor architecture, the sub-stratification into subgroups lost its prognostic role and tumor architecture was the sole predictor of poorer prognosis in terms of biochemical recurrence.

Annual nationwide analysis of costs and post-operative outcomes after radical prostatectomy according to the surgical approach (open, laparoscopic, and robotic).

OBJECTIVE: Annual countrywide data are scarce when comparing surgical approaches in terms of hospital stay outcomes and costs for radical prostatectomy (RP). We aimed to assess the impact of surgical approach on post-operative outcomes and costs after RP by comparing open (ORP), laparoscopic (LRP), and robot-assisted (RARP) RP in the French healthcare system. PATIENTS AND METHODS: Data from all patients undergoing RP in France in 2020 were extracted from the central database of the national healthcare system. Primary endpoints were length of hospital stay (LOS including intensive care unit (ICU) stay if present), complications (estimated by severity index), hospital readmission rates (at 30 and 90 days), and direct costs of initial stay. RESULTS AND LIMITATIONS: A total of 19,018 RPs were performed consisting in ORP in 21.1%, LRP in 27.6%, and RARP in 51.3% of cases. RARP was associated with higher center volume (p < 0.001), lower complication rates (p < 0.001), shorter LOS (p < 0.001), and lower readmission rates (p = 0.004). RARP was associated with reduced direct stay costs (2286 euros) compared with ORP (4298 euros) and LRP (3101 euros). The main cost driver was length of stay. The main limitations were the lack of mid-term data, readmission details, and cost variations due to surgery system. CONCLUSIONS: This nationwide analysis demonstrates the benefits of RARP in terms of post-operative short-term outcomes. Higher costs related to the robotic system appear to be balanced by patient care improvements and reduced direct costs due to shorter LOS.

Synthetic mid-urethral slings for the treatment of stress urinary incontinence in women with neurogenic lower urinary tract dysfunction: a systematic review.

INTRODUCTION AND HYPOTHESIS: The aim of our study was to evaluate the efficiency and safety of synthetic mid-urethral slings (sMUS) for the treatment of stress urinary incontinence (SUI) in women with neurogenic lower urinary tract dysfunction (NLUTD). METHODS: A systematic review was performed and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement. MEDLINE, Embase and Cochrane controlled trials databases were systematically searched from January 1995 to April 2021. Studies including adult women with NLUTD who had a sMUS for SUI were considered for inclusion. Primary outcome was success of the surgery according to study criteria. Secondary outcomes were complications, especially de novo urgency, urinary retention, tape exposure and revision for complications. RESULTS: A total of 752 abstracts were screened and 9 studies were included, representing 298 patients. The mean age was 52 years and median follow-up was 41.3 months. sMUS insertion was successful in 237 patients (79.5%). The median rate of de novo urgency was 15.7% (range 8.3-30%). In patients with spontaneous voiding, the median rate of retention was 19.3% (range 0-46.7%) and 21 out of 26 patients required intermittent self-catheterisation. Four cases of tape exposure were reported, and 8 patients underwent a revision for complications. CONCLUSIONS: This review suggests that sMUS might offer interesting success rates and acceptable morbidity and could be considered for the treatment of SUI in women with NLUTD. Further studies are required to define which patients would be more likely to benefit from this intervention, as well as its place among the other surgical treatments for SUI.

Indications for and complications of pelvic lymph node dissection in prostate cancer: accuracy of available nomograms for the prediction of lymph node invasion.

OBJECTIVES: To externally validate the currently available nomograms for predicting lymph node invasion (LNI) in patients with prostate cancer (PCa) and to assess the potential risk of complications of extended pelvic lymph node dissection (ePLND) when using the recommended threshold. METHODS: A total of 14 921 patients, who underwent radical prostatectomy with ePLND at eight European tertiary referral centres, were retrospectively identified. After exclusion of patients with incomplete biopsy or pathological data, 12 009 were included. Of these, 609 had undergone multiparametic magnetic resonance imaging-targeted biopsies. Among ePLND-related complications we included lymphocele, lymphoedema, haemorrhage, infection and sepsis. The performances of the Memorial Sloan Kettering Cancer Centre (MSKCC), Briganti 2012, Briganti 2017, Briganti 2019, Partin 2016 and Yale models were evaluated using receiver-operating characteristic curve analysis (area under the curve [AUC]), calibration plots, and decision-curve analysis. RESULTS: Overall, 1158 patients (9.6%) had LNI, with a mean of 17.7 and 3.2 resected and positive nodes, respectively. No significant differences in AUCs were observed between the MSKCC (0.79), Briganti 2012 (0.79), Partin 2016 (0.78), Yale (0.80), Briganti 2017 (0.81) and Briganti 2019 (0.76) models. A direct comparison of older models showed that better discrimination was achieved with the MSKCC and Briganti 2012 nomograms. A tendency for underestimation was seen for all the older models, whereas the Briganti 2017 and 2019 nomograms tended to overestimate LNI risk. Decision-curve analysis showed a net benefit for all models, with a lower net benefit for the Partin 2016 and Briganti 2019 models. ePLND-related complications were experienced by 1027 patients (8.9%), and 12.6% of patients with pN1 disease. CONCLUSIONS: The currently available nomograms have similar performances and limitations in the prediction of LNI. Miscalibration was present, however, for all nomograms showing a net benefit. In patients with only systematic biopsy, the MSKCC and Briganti 2012 nomograms were superior in the prediction of LNI.

External evaluation of the Briganti nomogram to predict lymph node metastases in intermediate-risk prostate cancer patients.

PURPOSE: The Briganti nomogram can be used with a threshold of 5% to decide when to offer lymph node dissection during radical prostatectomy. The objective of the study was to assess the accuracy of the Briganti nomogram on intermediate-risk prostate cancer patients managed in a single academic department. METHODS: We retrospectively reviewed the files of all patients managed by radical prostatectomy (RP) and bilateral pelvic lymph node dissection (BPLND) in our center between 2005 and 2017. The overall accuracy of the model in predicting metastatic lymph node disease was quantified by the construction of a receiver-operator characteristic (ROC) curve. A calibration plot was drawn to represent the relationship between the predicted and observed frequencies. RESULTS: We included 285 patients, among whom 175 (61.4%) were classified as intermediate risk as defined by D'Amico. The median follow-up was 60 (34-93) months. Twenty-seven patients (9.5%) were diagnosed with lymph node metastases. The median number of lymph nodes removed was 10 (7-14). The mean Briganti score was 19.3% in patients with lymph node involvement (LNI) and 6.3% in patients without LNI. Focusing on intermediate-risk patients, 91(52%) and 84 (48%) had a Briganti score < 5% and ≥ 5%, respectively, among whom 6 (6.6%) and 7(8.3%) had lymph node metastases. The accuracy of the score was low for intermediate risk patients with an area under the curve (AUC) of 53.1% (95% CI 0.45-0.61). CONCLUSION: The Briganti nomogram in our retrospective cohort showed low accuracy for the prediction of lymph node involvement in an intermediate-risk prostate cancer population.