Prostate cancer detection and complications of MRI-targeted prostate biopsy using cognitive registration, software-assisted image fusion or in-bore guidance: a systematic review and meta-analysis of comparative studies.

BACKGROUND: Three primary strategies for MRI-targeted biopsies (TB) are available: Cognitive TB (COG-TB), MRI-US Fusion TB (FUS-TB), and In Bore TB (IB-TB). Despite nearly a decade of practice, a consensus on the preferred approach is lacking, with previous studies showing comparable PCa detection rates among the three methods. METHODS: We conducted a search of PubMed, EMBASE, PubMed, Web of Science, and Scopus databases from 2014 to 2023, to identify studies comparing at least two of the three methods and reporting clinically significant PCa (csPCa) detection rates. The primary and secondary outcomes were to compare the csPCa and insignificant prostate cancer (iPCa, ISUP GG 1) detection rates between TB techniques. The tertiary outcome was to compare the complication rate between TB techniques. Detection rates were pooled using random-effect models. Planned sensitivity analyses included subgroup analysis according to the definition of csPCa and positive MRI, previous biopsy status, biopsy route, prostate volume, and lesion characteristics. RESULTS: A total of twenty studies, involving 4928 patients, were included in the quantitative synthesis. The meta-analysis unveiled comparable csPCa detection rates among COG-TB (0.37), FUS-TB (0.39), and IB-TB (0.47). iPCa detection rate was also similar between TB techniques (COG-TB: 0.12, FUS-TB: 0.17, IB-TB: 0.18). All preplanned sensitivity analyses were conducted and did not show any statistically significant difference in the detection of csPCa between TB methods. Complication rates, however, were infrequently reported, and when available, no statistically significant differences were observed among the techniques. CONCLUSIONS: This unique study, exclusively focusing on comparative research, indicates no significant differences in csPCa and iPCa detection rates between COG-TB, FUS-TB, and IB-TB. Decisions between these techniques may extend beyond diagnostic accuracy, considering factors such as resource availability and operator preferences. Well-designed prospective studies are warranted to refine our understanding of the optimal approach for TB in diverse clinical scenarios.

Reduction of false positives using zone-specific prostate-specific antigen density for prostate MRI-based biopsy decision strategies.

OBJECTIVES: To develop and test zone-specific prostate-specific antigen density (sPSAD) combined with PI-RADS to guide prostate biopsy decision strategies (BDS). METHODS: This retrospective study included consecutive patients, who underwent prostate MRI and biopsy (01/2012-10/2018). The whole gland and transition zone (TZ) were segmented at MRI using a retrained deep learning system (DLS; nnU-Net) to calculate PSAD and sPSAD, respectively. Additionally, sPSAD and PI-RADS were combined in a BDS, and diagnostic performances to detect Grade Group ≥ 2 (GG ≥ 2) prostate cancer were compared. Patient-based cancer detection using sPSAD was assessed by bootstrapping with 1000 repetitions and reported as area under the curve (AUC). Clinical utility of the BDS was tested in the hold-out test set using decision curve analysis. Statistics included nonparametric DeLong test for AUCs and Fisher-Yates test for remaining performance metrics. RESULTS: A total of 1604 patients aged 67 (interquartile range, 61-73) with 48% GG ≥ 2 prevalence (774/1604) were evaluated. By employing DLS-based prostate and TZ volumes (DICE coefficients of 0.89 (95% confidence interval, 0.80-0.97) and 0.84 (0.70-0.99)), GG ≥ 2 detection using PSAD was inferior to sPSAD (AUC, 0.71 (0.68-0.74)/0.73 (0.70-0.76); p < 0.001). Combining PI-RADS with sPSAD, GG ≥ 2 detection specificity doubled from 18% (10-20%) to 43% (30-44%; p < 0.001) with similar sensitivity (93% (89-96%)/97% (94-99%); p = 0.052), when biopsies were taken in PI-RADS 4-5 and 3 only if sPSAD was ≥ 0.42 ng/mL/cc as compared to all PI-RADS 3-5 cases. Additionally, using the sPSAD-based BDS, false positives were reduced by 25% (123 (104-142)/165 (146-185); p < 0.001). CONCLUSION: Using sPSAD to guide biopsy decisions in PI-RADS 3 lesions can reduce false positives at MRI while maintaining high sensitivity for GG ≥ 2 cancers. CLINICAL RELEVANCE STATEMENT: Transition zone-specific prostate-specific antigen density can improve the accuracy of prostate cancer detection compared to MRI assessments alone, by lowering false-positive cases without significantly missing men with ISUP GG ≥ 2 cancers. KEY POINTS: • Prostate biopsy decision strategies using PI-RADS at MRI are limited by a substantial proportion of false positives, not yielding grade group ≥ 2 prostate cancer. • PI-RADS combined with transition zone (TZ)-specific prostate-specific antigen density (PSAD) decreased the number of unproductive biopsies by 25% compared to PI-RADS only. • TZ-specific PSAD also improved the specificity of MRI-directed biopsies by 9% compared to the whole gland PSAD, while showing identical sensitivity.

Follow-Up of Men Who Have Undergone Focal Therapy for Prostate Cancer with HIFU-A Real-World Experience.

PURPOSE: To determine oncological and functional outcomes and side effects after focal therapy of prostate cancer (PCa) with high-intensity focused ultrasound (HIFU). METHODS: This retrospective single-center study included 57 consecutive patients with localised PCa. Aged 18-80 with ≤2 suspicious lesions on mpMRI (PIRADS ≥ 3), PSA of ≤15 ng/mL, and an ISUP GG of ≤2. HIFU was performed between November 2014 and September 2018. All men had an MRI/US fusion-guided targeted biopsy (TB) combined with a TRUS-guided 10-core systematic biopsy (SB) prior to focal therapy. HIFU treatment was performed as focal, partial, or hemiablative, depending on the prior histopathology. Follow-up included Questionnaires (IIEF-5, ICIQ, and IPSS), prostate-specific antigen (PSA) measurement, follow-up mpMRI, and follow-up biopsies. RESULTS: The median age of the cohort was 72 years (IQR 64-76), and the median PSA value before HIFU was 7.3 ng/mL (IQR 5.75-10.39 ng/mL). The median follow-up was 27.5 (IQR 23-41) months. At the time of the follow-up, the median PSA value was 2.5 ng/mL (IQR 0.94-4.96 ng/mL), which shows a significant decrease (p < 0.001). In 17 (29.8%) men, mpMRI revealed a suspicious lesion, and 19 (33.3%) men had a positive biopsy result. Only IIEF values significantly decreased from 16 (IQR 10.75-20.25) to 11.5 (IQR 4.5-17) (p < 0.001). The rate of post-HIFU complications was low, at 19.3% (11 patients). The limitation of this study is the lack of long-term follow-up. CONCLUSIONS: HIFU as a therapy option for nonmetastatic, significant prostate cancer is effective in the short term for carefully selected patients and shows a low risk of adverse events and side effects.

Role of Perilesional Sampling of Patients Undergoing Fusion Prostate Biopsies.

Recently, researchers have proposed perilesional sampling during prostate biopsies to avoid systematic biopsies of patients at risk of prostate cancer. The aim of our study is to evaluate the role of perilesional sampling to avoid systematic biopsies of patients undergoing fusion biopsies. A prospective cohort of patients undergoing transrectal MRI transrectal fusion biopsies were consecutively enrolled. All the patients underwent systematic biopsies (SB), targeted biopsies (TB) and perilesional biopsies within 10 mm from the lesion (PB). The detection rates of different strategies were determined. A total of 262 patients were enrolled. The median age of those enrolled was 70 years. The mean BMI was 27 kg/m2, and the mean and prostate volume was 52 mL. A PIRADS score ≥ 4 was recorded in 163/262 (40%) patients. Overall, the detection rates of cancer were 43.5% (114/262) and 35% (92/262) for csPCa. The use of the target + peri-target strategy resulted in a detection of 32.8% (86/262) of cancer cases and of 29% (76/262) of csPCa cases (Grade Group > 2). Using the target plus peri-target approach resulted in us missing 18/262 (7%) of the csPCa cases, avoiding the diagnosis of 8/262 (3%) of nsPCa cases. A biopsy strategy including lesional and perilesional sampling could avoid unnecessary prostate biopsies. However, the risk of missing significant cancers is present. Future studies should assess the cost-benefit relationship of different strategies.

Interactive Explainable Deep Learning Model Informs Prostate Cancer Diagnosis at MRI.

Background Clinically significant prostate cancer (PCa) diagnosis at MRI requires accurate and efficient radiologic interpretation. Although artificial intelligence may assist in this task, lack of transparency has limited clinical translation. Purpose To develop an explainable artificial intelligence (XAI) model for clinically significant PCa diagnosis at biparametric MRI using Prostate Imaging Reporting and Data System (PI-RADS) features for classification justification. Materials and Methods This retrospective study included consecutive patients with histopathologic analysis-proven prostatic lesions who underwent biparametric MRI and biopsy between January 2012 and December 2017. After image annotation by two radiologists, a deep learning model was trained to detect the index lesion; classify PCa, clinically significant PCa (Gleason score ≥ 7), and benign lesions (eg, prostatitis); and justify classifications using PI-RADS features. Lesion- and patient-based performance were assessed using fivefold cross validation and areas under the receiver operating characteristic curve. Clinical feasibility was tested in a multireader study and by using the external PROSTATEx data set. Statistical evaluation of the multireader study included Mann-Whitney U and exact Fisher-Yates test. Results Overall, 1224 men (median age, 67 years; IQR, 62-73 years) had 3260 prostatic lesions (372 lesions with Gleason score of 6; 743 lesions with Gleason score of ≥ 7; 2145 benign lesions). XAI reliably detected clinically significant PCa in internal (area under the receiver operating characteristic curve, 0.89) and external test sets (area under the receiver operating characteristic curve, 0.87) with a sensitivity of 93% (95% CI: 87, 98) and an average of one false-positive finding per patient. Accuracy of the visual and textual explanations of XAI classifications was 80% (1080 of 1352), confirmed by experts. XAI-assisted readings improved the confidence (4.1 vs 3.4 on a five-point Likert scale; P = .007) of nonexperts in assessing PI-RADS 3 lesions, reducing reading time by 58 seconds (P = .009). Conclusion The explainable AI model reliably detected and classified clinically significant prostate cancer and improved the confidence and reading time of nonexperts while providing visual and textual explanations using well-established imaging features. © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Chapiro in this issue.

The impact of 5-ARI on perioperative and functional outcomes of GreenLight PVP: an analysis of the Global GreenLight Group database.

INTRODUCTION: In this study, we sought to investigate the impact of 5-alpha reductase inhibitors (5-ARI) on the perioperative and functional outcomes of 180-Watt XPS GreenLight photovaporization of the prostate (PVP) using a large international database. MATERIALS AND METHODS: Data were obtained from the Global GreenLight Group (GGG) database, which includes eight high-volume, experienced surgeons from seven international centers.  All men with established benign prostatic hyperplasia (BPH) with known 5-ARI status who underwent GreenLight PVP using the XPS-180W system between 2011 and 2019 were eligible for the study.  Patients were assigned to two groups based on the preoperative use of 5-ARI.  Analyses were adjusted for patient age, prostate volume, and American Society of Anesthesia (ASA) score. RESULTS: We included 3,500 men, of which 1,246 (36%) had preoperative 5-ARI use.  Patients in both groups were similar with regards to age and prostate size.  On multivariable analysis, total operative time was slightly shorter (-3.26 min 95% CI: 1.20 - 5.32, p < 0.01) and required 35.6kJ less laser energy (95% CI: -48.0kJ - -23.3kJ, p < 0.01) for patients on 5ARI compared to those without 5-ARI.  However, no clinically significant difference was appreciated regarding postoperative transfusion rates [OR 0.048 (95% CI -0.82-0.91; p = 0.91)], hematuria rates [OR 0.96 (95% CI 0.72-1.3; p = 0.81)], 30-day readmission rates [OR 0.98 (95% CI 0.71-1.4; p = 0.90)], or overall functional outcomes. CONCLUSION: Our findings suggest that preoperative 5-ARI is not associated with any clinically significant different perioperative or functional outcomes for GreenLight PVP using the XPS-180W system.  There is no role for the initiation or discontinuation of 5-ARI prior to GreenLight PVP.

Safety and efficacy of GreenLight PVP in octogenarians: evaluation of the Global GreenLight Group database.

INTRODUCTION: The present study analyzes the largest international GreenLight database, the Global GreenLight Group (GGG), to evaluate the functional and safety profile of GreenLight photoselective vaporization of the prostate (PVP) in octogenarians. METHODS: The GGG is a database comprised of patients that underwent GreenLight PVP from 2011 to 2019 performed by 8 experienced urologists at 7 international hospitals. Patients 80 years or older at the time of surgery were categorized as octogenarians. They were compared to a similar group of PVP patients below the age of 80. RESULTS: Among 3,648 patients, 586 men were above the age of 80. Compared to patients under the age of 80, octogenarians had larger prostates (76.0 vs 71.9 ml, p = 0.02) and a lower BMI (25.6 vs 26.7, p = 0.045). Operative time was not significantly longer in octogenarians. The improvement in functional outcomes between 80-year-old patients and control patients was not significantly different at one-year follow-up, with the exception of maximum urinary flow (Qmax) that favoured younger patients (10.3 vs 12.6 ml/s, p = 0.02). The odds of transfusion were greater for older patients [OR 8.2 (95% CI 3.6-18.9, p < 0.01)], but they were not at increased risk of hematuria. Octogenarians had higher readmission rates (23.0 vs 11.9%, p < 0.01). CONCLUSIONS: GreenLight PVP is a safe option in well-selected octogenarians in a cohort of patients treated by surgeons experienced with the technology. The odds of transfusion were higher in patients over 80, but the absolute risk remains low. The 30-day hospital readmission rate was higher in octogenarians.

Functional outcomes of GreenLight 180-W photoselective vaporization in patients with large (≥ 80 cc) prostates: an analysis of over 3000 men in the Global Greenlight Group (GGG) database.

INTRODUCTION: GreenLight photoselective vaporization of the prostate (PVP) has gained widespread adoption as an option to traditional transurethral resection of the prostate. Prior reports expressed concern with the use of PVP in large prostates. The aim of this study was to investigate the adjusted outcomes of GreenLight PVP in men with large (≥ 80 cc) vs. small prostates (< 80 cc). METHODS: Data were obtained from the Global Greenlight Group which pools data from 7 high volume centers. Men with established benign prostatic hyperplasia who underwent GreenLight PVP using the XPS-180 W system between 2011 and 2019 were eligible and assigned into two groups based on their prostate size (≥ 80 and < 80 cc). 11 functional and perioperative covariates were collected. Analyses were adjusted for patient age and presence of median lobe. RESULTS: 3426 men met the inclusion criteria. 34.6% (n = 1187) of patients had a large prostate size. Baseline age and prostate volume were significantly different between the groups. The magnitude of absolute improvement in unadjusted international prostate symptom score was significantly greater in the large (≥ 80 cc) prostate group at 12 months, with an absolute change of 19.17 points (95% CI 18.46-19.88; p < 0.01). There was also a significant drop in PVR at both 6- (p = 0.007) and 12 months (p = 0.005). There were no significant differences in transfusion (p = 0.42), hematuria (p = 0.80), or 30-day readmission rates (p = 0.28). CONCLUSIONS: Greenlight PVP is a safe and effective alternative for patients with prostate sizes ≥ 80 cc, with durable outcomes relatively independent from prostate size.

MRI-targeted biopsy cores from prostate index lesions: assessment and prediction of the number needed.

BACKGROUND: Magnetic resonance imaging (MRI) is used to detect the prostate index lesion before targeted biopsy. However, the number of biopsy cores that should be obtained from the index lesion is unclear. The aim of this study is to analyze how many MRI-targeted biopsy cores are needed to establish the most relevant histopathologic diagnosis of the index lesion and to build a prediction model. METHODS: We retrospectively included 451 patients who underwent 10-core systematic prostate biopsy and MRI-targeted biopsy with sampling of at least three cores from the index lesion. A total of 1587 biopsy cores were analyzed. The core sampling sequence was recorded, and the first biopsy core detecting the most relevant histopathologic diagnosis was identified. In a subgroup of 261 patients in whom exactly three MRI-targeted biopsy cores were obtained from the index lesion, we generated a prediction model. A nonparametric Bayes classifier was trained using the PI-RADS score, prostate-specific antigen (PSA) density, lesion size, zone, and location as covariates. RESULTS: The most relevant histopathologic diagnosis of the index lesion was detected by the first biopsy core in 331 cases (73%), by the second in 66 cases (15%), and by the third in 39 cases (9%), by the fourth in 13 cases (3%), and by the fifth in two cases (<1%). The Bayes classifier correctly predicted which biopsy core yielded the most relevant histopathologic diagnosis in 79% of the subjects. PI-RADS score, PSA density, lesion size, zone, and location did not independently influence the prediction model. CONCLUSION: The most relevant histopathologic diagnosis of the index lesion was made on the basis of three MRI-targeted biopsy cores in 97% of patients. Our classifier can help in predicting the first MRI-targeted biopsy core revealing the most relevant histopathologic diagnosis; however, at least three MRI-targeted biopsy cores should be obtained regardless of the preinterventionally assessed covariates.

Follow-up of men with a PI-RADS 4/5 lesion after negative MRI/Ultrasound fusion biopsy.

Magnetic resonance imaging/Ultrasound (MRI/US) fusion targeted biopsy (TB) in combination with a systematic biopsy (SB) improves cancer detection but limited data is available how to manage patients with a Prostate Imaging-Reporting and Data System (PI-RADS) ≥ 4 lesion and a negative biopsy. We evaluate the real-world management and the rate of clinically significant Prostate Cancer (csPCa) during follow-up. 1546 patients with a multi-parametric MRI (mpMRI) and a PI-RADS ≥ 3 who underwent SB and TB between January 2012 and May 2017 were retrospectively analyzed. 222 men with a PI-RADS ≥ 4 and a negative biopsy were included until 2019. For 177/222 (80%) complete follow-up data was obtained. 66/84 (78%) had an initial PI-RADS 4 and 18 (22%) a PI-RADS 5 lesion. 48% (84/177) received a repeat mpMRI; in the follow-up mpMRI, 39/84 (46%) lesions were downgraded to PI-RADS 2 and 11 (13%) to PI-RADS 3; three cases were upgraded and 28 lesions remained consistent. 18% (32/177) men underwent repeated TB and csPCa was detected in 44% (14/32). Our study presents real world data on the management of men with a negative TB biopsy. Men with a positive mpMRI and lesions with high suspicion (PI-RADS4/5) and a negative targeted biopsy should be critically reviewed and considered for repeat biopsy or strict surveillance. The optimal clinical risk assessment remains to be further evaluated.

Evaluation of systematic prostate biopsies when performing transperineal MRI/TRUS fusion biopsy with needle tracking-what is the additional value?

PURPOSE: To evaluate the additional value of systematic biopsies (SB) when performing transperineal MRI/TRUS fusion biopsies (MRI/TRUS TPBx) with needle tracking. METHODS: From January 2019 to March 2021 969 Patients after a MRI/TRUS TPBx were evaluated separately for target biopsies (TB) and systematic biopsies regarding PCa detection and PCa risk evaluation. Needle tracking in the axial sequences of multiparametric MRI was used to assess the localisation of the detected PCa in the biopsy cores related to the reported PI-RADS lesions. RESULTS: The overall cancer detection rate (CDR) for PCa and clinically significant (cs) PCa (ISUP ≥2) with the combination of TB and SB were 66 and 49%. TB detected 46% csPCa and SB 22% csPCa. SB identified 1.5% additional csPCa outside of the reported PI-RADS lesions. 16 patients (1.7%) showed a relevant upgrading from clinically insignificant PCa in TB to csPCa. In 736 patients with unilateral suspicious lesions on MRI, 145 patients (20%) were detected with contralateral PCa-positive SB. 238 patients (25%) showed PCa positive systematic biopsy cores outside of the described PI-RADS lesions. CONCLUSIONS: Needle tracking optimizes the 3D-localisation of cancer in the prostate. Our results show that the added value of SB with a reduced systematic biopsy scheme is low with regard to prostate cancer (PCa) detection and PCa risk evaluation. However, there is a relevant added value for localizing multifocal PCa in the primary diagnostic by a MRI/TRUS fusion biopsy of the prostate.

Quantitative Ultrasound Assessment of Early Osteoarthritis in Human Articular Cartilage Using a High-Frequency Linear Array Transducer.

Quantitative ultrasound (QUS) assessment of osteoarthritis (OA) using high-frequency, research-grade single-element ultrasound systems has been reported. The objective of this ex vivo study was to assess the performance of QUS in detecting early OA using a high-frequency linear array transducer. Osteochondral plugs (n = 26) of human articular cartilage were scanned with ExactVu Micro-Ultrasound using an EV29L side-fire transducer. For comparison, the samples were also imaged with SAM200Ex, a custom 40-MHz scanning acoustic microscope with a single-element, focused transducer. Thirteen QUS parameters were derived from the ultrasound data. Magnetic resonance imaging (MRI) data, with T1 and T2 extracted as the quantitative parameters, were also acquired for comparison. Cartilage degeneration was graded from histology and correlated to all quantitative parameters. A maximum Spearman rank correlation coefficient (ρ) of 0.75 was achieved using a combination of ExactVu QUS parameters, while a maximum ρ of 0.62 was achieved using a combination of parameters from SAM200Ex. A maximum ρ of 0.75 was achieved using the T1 and T2 MRI parameters. This study illustrates the potential of a high-frequency linear array transducer to provide a convenient method for early OA screening with results comparable to those of research-grade single-element ultrasound and MRI.

Inter-Reader Variability Using PI-RADS v2 Versus PI-RADS v2.1: Most New Disagreement Stems from Scores 1 and 2.

PURPOSE: To analyze possible differences in the inter-reader variability between PI-RADS version 2 (v2) and version 2.1 (v2.1) for the classification of prostate lesions using multiparametric MRI (mpMRI) of the prostate. METHODS: In this retrospective and randomized study, 239 annotated and histopathologically correlated prostate lesions (104 positive and 135 negative for prostate cancer) were rated twice by three experienced uroradiologists using PI-RADS v2 and v2.1 with an interval of at least two months between readings. Results were tabulated across readers and reading timepoints and inter-reader variability was determined using Fleiss' kappa (κ). Thereafter, an additional analysis of the data was performed in which PI-RADS scores 1 and 2 were combined, as they have the same clinical consequences. RESULTS: PI-PI-RADS v2.1 showed better inter-reader agreement in the peripheral zone (PZ), but poorer inter-reader agreement in the transition zone (TZ) (PZ: κ = 0.63 vs. κ = 0.58; TZ: κ = 0.47 vs. κ = 0.57). When PI-RADS scores 1 and 2 were combined, the use of PI-RADS v2.1 resulted in almost perfect inter-reader agreement in the PZ and substantial agreement in the TZ (PZ: κ = 0.81; TZ: κ = 0.80). CONCLUSION: PI-RADS v2.1 improves inter-reader agreement in the PZ. New differences in inter-reader agreement were mainly the result of the assignment of PI-RADS v2.1 scores 1 and 2 to lesions in the TZ. Combining scores 1 and 2 improved inter-reader agreement both in the TZ and in the PZ, indicating that refined definitions may be warranted for these PI-RADS scores. KEY POINTS: · PI-RADSv2.1 improves inter-reader agreement in the PZ but not in the TZ.. · New differences derived from PI-RADSv2.1 scores 1 and 2 in the TZ.. · Combined PI-RADSv2.1 scores of 1 and 2 yielded better inter-reader agreement.. · PI-RADSv2.1 appears to provide more precise description of lesions in the PZ.. · Improved inter-reader agreement in the PZ stresses the importance of appropriate lexicon description.. CITATION FORMAT: · Beetz N, Haas M, Baur A et al. Inter-Reader Variability Using PI-RADS v2 Versus PI-RADS v2.1: Most New Disagreement Stems from Scores 1 and 2. Fortschr Röntgenstr 2022; 194: 852 - 861.

Global experience and progress in GreenLight-XPS 180-Watt photoselective vaporization of the prostate.

PURPOSE: To evaluate changes in global perioperative data of GreenLight-XPS 180-Watt photo-selective vaporization of the prostate (GL-XPS) of the Global Greenlight Group (GGG) database. METHODS: 3441 men, who underwent GL-XPS for symptomatic BPH between 2011 and 2019 at seven high volume international centers, were included. Primary outcome measurements were operative time (OT; min), effective laser time (LT; min of OT), as well as intraoperative and postoperative adverse events (AEs), all analyzed by year of surgery (2011-2019) and prostate volume (PV) group (< 80 ml vs. 80-150 ml vs. > 150 ml). RESULTS: The median age was 70 years (interquartile range 64-77), the median PV was 64 ml (IQR 47-90). The OT and LT slightly increased but stayed highly efficient all in all. Median OT was 60 min (IQR 45-83) and LT was 33 min (IQR 23-46). Median energy use was 253 kJ (IQR 170-375) with an energy density of 3.94 kJ/ml (IQR 2.94-5.02). The relative probability of perioperative AEs decreased by 17% each year (p < 0.001). The relative probability of perioperative transfusion dropped significantly from 2% in 2011 to 0% in 2019 (p = 0.007). The early postoperative complications (within 30 days after surgery) decreased significantly from 48.8% (n = 106) in 2011 to 24.7% (n = 20) in 2019 (p > 0.001). CONCLUSION: These findings from the GGG demonstrate significant improvement secondary to growing experience with GL-XPS between 2011 and 2019 in intraoperative AEs, including transfusions, and postoperative AEs. While staying highly efficient in OT and LT of GL-XPS within a 9-year period of experience.

GreenLight photovaporization of the prostate in high-medical-risk patients: an analysis of the Global GreenLight Group (GGG) database.

PURPOSE: We sought to characterize the adjusted outcomes of GreenLight photoselective vaporization of the prostate (PVP) in high-medical-risk (HMR) patients using data from the largest international database. METHODS: Data were obtained from the Global GreenLight Group (GGG) database which pools data of eight high-volume, experienced surgeons, from a total of seven international centers. Eligible study participants underwent GreenLight PVP using the XPS-180 W system between 2011 and 2019. HMR patients were defined as patients with ASA III or greater and were compared to non-HMR patients. Analyses were adjusted for patient age and prostate volume. RESULTS: In the HMR group, patients on average were older and had smaller prostates than the non-HMR control group. Compared to non-HMR patients, transfusions occurred more frequently (2.6% vs. 0.14%, p < 0.01) and the odds of readmission were elevated [OR 2.0, (95% CI 1.4-2.8, p < 0.01)] among HMR patients. Twelve months postoperatively, HMR patients experience greater improvement in QoL than the control group [+ 0.54 (95% CI 0.07-1.0, p = 0.02)]. PVR also decreased 93.1 ml more in HMR than in non-HMR patients after 12 months (95% CI 33.6-152.6, p < 0.01). CONCLUSION: We found that GreenLight PVP is safe and effective in improving functional outcomes in higher-risk patients with severe systemic disease compared to their lower-risk counterparts. Though absolute risks remain low, GreenLight PVP is associated with higher odds of transfusion and readmission in the high-risk cohort. The findings of our study reaffirm current guidelines that propose PVP as a viable treatment option for HMR patients.

German S3 Evidence-Based Guidelines on Focal Therapy in Localized Prostate Cancer: The First Evidence-Based Guidelines on Focal Therapy.

BACKGROUND: Focal therapy (FT) is an option to treat localized prostate cancer (PCa) and preserve healthy prostate tissue in order to reduce known side effects from primary whole-gland treatment. The available FT modalities are manifold. Until now, national and international PCa guidelines have been cautious to propose recommendations regarding FT treatment since data from prospective controlled trials are lacking for most FT modalities. Moreover, none of the international guidelines provides a separate section on FT. In this purpose, we provide a synopsis of the consensus-based German S3 guidelines for a possible international use. SUMMARY: The recently published update of the German S3 guidelines, an evidence- and consensus-based guideline, provides a section on FT with recommendations for diagnostic work-up, indications, modalities, and follow-up. This section consists of 12 statements and recommendations for FT in the treatment of localized PCa. KEY MESSAGE: The German S3 guidelines on PCa are the first to incorporate recommendations for FT based on evidence and expert consensus including indication criteria for FT, pretreatment, and follow-up diagnostic pathways as well as an extended overview of FT techniques and the current supportive evidence.

Optimization of prostate biopsy - Micro-Ultrasound versus MRI (OPTIMUM): A 3-arm randomized controlled trial evaluating the role of 29 MHz micro-ultrasound in guiding prostate biopsy in men with clinical suspicion of prostate cancer.

BACKGROUND: Micro-ultrasound (microUS) is a novel ultrasound-based imaging modality which has demonstrated the ability to visualize prostate cancer. Multiparametric MRI/ultrasound (mpMRI/US) fusion has recognized advantages for the performance of prostate biopsy, however, it encompasses additional cost, time and technical expertise to performing prostate biopsy in comparison to conventional trans-rectal ultrasound biopsy. MicroUS may simplify and optimize this pathway. METHODS: OPTIMUM is a 3-arm randomized controlled trial comparing microUS guided biopsy with MRI/US fusion and MRI/MicroUS "contour-less" fusion. This trial will investigate whether microUS alone, or in combination with mpMRI, provides effective guidance during prostate biopsy for the detection of clinically significant prostate cancer (csPCa) for biopsy naïve subjects. 1200 subjects will be randomized. The economic impact will be evaluated. RESULTS: The rate of csPCa (defined as Grade Group 2 and above) in each arm will be compared. The primary hypothesis is non-inferiority of csPCa rate between the MRI/US fusion arm and the microUS-only arm (including the blinded microUS-only portion of the MRI/MicroUS arm). As a secondary objective, the csPCa rate between MRI/MicroUS fusion and MRI/US fusion arms will also be compared. Other secondary objectives include the increase in rate of patients diagnosed with csPCa due to each type of sample (mpMRI targeted, microUS targeted, systematic), the negative predictive value of each imaging modality, and a health economic analysis of the procedures in each arm. CONCLUSIONS: OPTIMUM will determine whether microUS can be used as an alternative to MRI/US fusion biopsy. The trial will also evaluate the efficacy of the simplified "contour-less" MRI/MicroUS fusion procedure. The adoption of the microUS technique will increase the proportion of men who can benefit from modern imaging-centric diagnostic strategies, and may help reduce variability, complexity, waiting time and cost within the diagnostic pathway.