Augmented-reality robot-assisted radical prostatectomy using hyper-accuracy three-dimensional reconstruction (HA3D™) technology: a radiological and pathological study.

OBJECTIVES: To assess the use of hyper-accuracy three-dimensional (HA3D™; MEDICS, Moncalieri, Turin, Italy) reconstruction based on multiparametric magnetic resonance imaging (mpMRI) and superimposed imaging during augmented-reality robot-assisted radical prostatectomy (AR-RARP). PATIENTS AND METHODS: Patients with prostate cancer (clinical stages cT1-3, cN0, cM0) undergoing RARP at our Centre, from June 2017 to April 2018, were enrolled. In all cases, cancer was diagnosed with targeted biopsy at the level of index lesion based on high-resolution (1-mm slices) mpMRI. HA3D reconstruction was created by dedicated software to obtain the 3D virtual model of the prostate and surrounding structures. A specific system was used to overlay virtual data on the endoscopic video displayed by the remote da Vinci® surgical console (Intuitive Surgical Inc., Sunnyvale, CA, USA), and the virtual images were superimposed by the surgeon by the means of the TilePro™ multi-input display technology (Intuitive Surgical Inc.). The AR technology was used in four standardised key steps during RARP. The procedures were modulated differently in cases of prostate cancer without extracapsular extension (ECE) at mpMRI (Group A) or in cases of prostate cancer with ECE (Group B) at mpMRI. In Group A, the virtual image of the prostate was overlaid on the endoscopic view and the intraprostatic lesion was marked on the prostate surface by a metallic clip at the level of the suspicious lesion as identified by the 3D virtual AR image. In Group B, the same step was performed; moreover, a metallic clip was placed at the level of the suspicious ECE on the neurovascular bundles (NVBs) according to the virtual images. Finally, selective biopsies were taken from the NVBs at this level, and then, the entire NVBs were removed for final pathological examination, according to standard clinical indications. For Group A, the pathologist performed a targeted needle biopsy at the level of the metallic clip on the surface of prostate before the sample reduction. For Group B, the presence of tumour was evaluated during the reduction phase, at the level of metallic clip on the prostate surface and at the level of NVBs, sent separately. Finally, an image 3D scanner (Kinect, Microsoft) was used to perform a dimensional comparison between the mpMRI-based 3D virtual reconstruction and the whole-mount specimen. RESULTS: In all, 30 patients were enrolled in the present study, 11 (36.6%) included in Group A and 19 (63.4%) in Group B. In all cases (30/30), final pathology confirmed the location of the index lesion, as cancer was found at the level of the metallic clip. The suspected ECE was confirmed on final pathology in 15/19 cases (79%). The AR-guided selective biopsies at the level of the NVBs confirmed the ECE location, with 11/15 (73.3%) biopsies at the level of NVBs positive for cancer. The mismatch between the 3D virtual reconstruction and the prostate 3D scanning based on the whole-mount specimen was <3 mm in >85% of the gland. CONCLUSION: Our results suggest that a HA3D virtual reconstruction of the prostate based on mpMRI data and real-time superimposed imaging allow performance of an effective AR-RARP. Potentially, this approach translates into better outcomes, as the surgeon can tailor the procedure for each patient.

Tissue-based multigene expression tests for pretreatment prostate cancer risk assessment: current status and future perspectives.

Prostate cancer is a highly prevalent disease with ample spectrum of aggressiveness and treatment options. Low-risk disease can be safely managed by nonintervention strategies, such as active surveillance; however, accurate risk assessment is warranted. Molecular tests have been developed and validated to complement standard clinicopathological parameters and help to improve risk stratification in prostate cancer. Herein, we review selected tissue-based assays, including genomic prostate score, cell cycle progression score and genomic classifier, with particular emphasis on their role in patient risk assessment in a pretreatment setting, in view of their current or potential utilization in active surveillance.

Multiparametric Magnetic Resonance/Ultrasound Fusion Prostate Biopsy: Number and Spatial Distribution of Cores for Better Index Tumor Detection and Characterization.

PURPOSE: We evaluated the minimum core number for better index tumor detection to determine the best core site as well as biopsy Gleason score heterogeneity in the same index lesion. The aim was to optimize the highest Gleason score detection. MATERIALS AND METHODS: A total of 327 patients with negative digital rectal examination underwent magnetic resonance imaging/transrectal ultrasound fusion targeted biopsy for elevated/rising prostate specific antigen and/or 1 or more detectable lesions on multiparametric magnetic resonance imaging after a previous negative standard biopsy. Depending on the diameter of each index lesion (8 or less, or greater than 8 mm) 4 or 6 cores, respectively, were taken according to a well determined sequence. RESULTS: Of the patients 166 (50.7%) had prostate cancer, including 79 (47.6%) with an 8 mm or less index lesion and 87 (52.4%) with a greater than 8 mm index lesion. Of patients with an index tumor 8 mm or less 7 (8.9%) had 1, 31 (39.2%) had 2, 27 (34.2%) had 3 and 14 (17.7%) had 4 positive cores. Similarly, of patients with a lesion greater than 8 mm 8 (9.2%) had 1, 30 (34.5%) had 2, 13 (14.9%) had 3, 14 (16.1%) had 4, 12 (13.8%) had 5 and 10 (11.5%) had 6 positive cores. The major prevalence of positive cores was observed in the center of the target. Gleason score heterogeneity was found in 12.6% of those with an 8 mm or less target vs 26.4% with a target greater than 8 mm. In the center of the target there was a slight prevalence of Gleason pattern 4 or greater, or a lesser pattern. CONCLUSIONS: Approaching magnetic resonance imaging/transrectal ultrasound fusion targeted biopsy with a single core might be inadequate. Rather, taking 2 cores in the center of the index lesion may provide more accurate cancer detection and optimize the chances of finding the highest Gleason pattern.

High prostate cancer gene 3 (PCA3) scores are associated with elevated Prostate Imaging Reporting and Data System (PI-RADS) grade and biopsy Gleason score, at magnetic resonance imaging/ultrasonography fusion software-based targeted prostate biopsy after a previous negative standard biopsy.

OBJECTIVE: To determine the association among prostate cancer gene 3 (PCA3) score, Prostate Imaging Reporting and Data System (PI-RADS) grade and Gleason score, in a cohort of patients with elevated prostate-specific antigen (PSA), undergoing magnetic resonance imaging/ultrasonography fusion software-based targeted prostate biopsy (TBx) after a previous negative randomised 'standard' biopsy (SBx). PATIENTS AND METHODS: In all, 282 patients who underwent TBx after previous negative SBx and a PCA3 urine assay, were enrolled. The associations between PCA3 score/PI-RADS and PCA3 score/Gleason score were investigated by K-means clustering, a receiver operating characteristic analysis and binary logistic regression. RESULTS: The PCA3 score difference for the negative vs positive TBx cohorts was highly statistically significant. A 1-unit increase in the PCA3 score was associated to a 2.4% increased risk of having a positive TBx result. A PCA3 score of >80 and a PI-RADS grade of ≥4 were independent predictors of a positive TBx. The association between the PCA3 score and PI-RADS grade was statistically significant (the median PCA3 score for PI-RADS grade groups 3, 4, and 5 was 58, 104, and 146, respectively; P = 0.006). A similar pattern was detected for the relationship between the PCA3 score and Gleason score; an increasing PCA3 score was associated with a worsening Gleason score (median PCA3 score equal to 62, 105, 132, 153, 203, and 322 for Gleason Score 3+4, 4+3, 4+4, 4+5, 5+4, and 5+5, respectively; P < 0.001). CONCLUSION: TBx improved PCA3 score diagnostic and prognostic performance for prostate cancer. The PCA3 score was directly associated both with biopsy Gleason score and PI-RADS grade: notably, in the 'indeterminate' PI-RADS grade 3 subgroup.

Detection of prostate cancer index lesions with multiparametric magnetic resonance imaging (mp-MRI) using whole-mount histological sections as the reference standard.

OBJECTIVE: To evaluate the sensitivity of multiparametric magnetic resonance imaging (mp-MRI) for detecting prostate cancer foci, including the largest (index) lesions. PATIENTS AND METHODS: In all, 115 patients with biopsy confirmed prostate cancer underwent mp-MRI before radical prostatectomy. A single expert radiologist recorded all prostate cancer foci including the index lesion 'blinded' to the pathologist's biopsy report. Stained whole-mount histological sections were used as the reference standard. All lesions were contoured by an experienced uropathologist who assessed their volume and pathological Gleason score. All lesions with a volume of >0.5 mL and/or pathological Gleason score of >6 were defined as clinically significant prostate cancer. Multivariate analysis was used to ascertain the characteristics of lesions identified by MRI. RESULTS: In all, 104 of 115 index lesions were correctly diagnosed by mp-MRI (sensitivity 90.4%; 95% confidence interval [CI] 83.5-95.1%), including 98/105 clinically significant index lesions (93.3%; 95% CI 86.8-97.3%), among which three of three lesions had a volume of <0.5 mL and Gleason score of >6. Overall, mp-MRI detected 131/206 lesions including 13 of 68 'insignificant' prostate cancers. The multivariate logistic regression modelling showed that pathological Gleason score (odds ratio [OR] 11.7, 95% CI 2.3-59.8; P = 0.003) and lesion volume (OR 4.24, 95% CI 1.3-14.7; P = 0.022) were independently associated with the detection of index lesions at MRI. CONCLUSIONS: This study shows that mp-MRI has a high sensitivity for detecting clinically significant prostate cancer index lesions, while having disappointing results for the detection of small-volume, low Gleason score prostate cancer foci. Thus, mp-MRI could be used to stratify patients according to risk, allowing better treatment selection.

Multiparametric magnetic resonance imaging and active surveillance: How to better select insignificant prostate cancer?

OBJECTIVES: To evaluate the role of multiparametric magnetic resonance imaging in improving the predictive accuracy of the Prostate Cancer Research International: Active Surveillance and Epstein criteria for active surveillance in prostate cancer. METHODS: A retrospective study was carried out with 126 prostate cancer patients treated with robot-assisted radical prostatectomy, but eligible for active surveillance according to the Prostate Cancer Research International: Active Surveillance criteria; 63 patients were also eligible according to the Epstein criteria. All patients underwent preoperative multiparametric magnetic resonance imaging, after at least 6 weeks from biopsy. The images from the multiparametric magnetic resonance imaging were assessed, and diagrams showing prostate sextants were used to designate regions of abnormalities within the prostate. Findings in the prostate were assigned to one of five categories according the Prostate Imaging-Reporting and Data System guidelines (v1.0), and considered positive for prostate cancer if the final Prostate Imaging-Reporting and Data System guidelines were >3 and negative if ≤3. Multivariate logistic regression analysis was carried out to evaluate the gain in accuracy of the Prostate Cancer Research International: Active Surveillance and Epstein criteria when added to multiparametric magnetic resonance imaging. Decision curve analysis was carried out to identify the net benefit of each model. RESULTS: The inclusion of multiparametric magnetic resonance imaging to the Epstein criteria and the Prostate Cancer Research International: Active Surveillance multivariate model significantly increased their accuracy in predicting pathologically-confirmed insignificant prostate cancer by 7% and 5%, respectively. At the decision curve analysis evaluation, the model including the Prostate Cancer Research International: Active Surveillance criteria and multiparametric magnetic resonance imaging improved the clinical risk prediction over the other models. CONCLUSIONS: The present findings suggest that multiparametric magnetic resonance imaging is able to increase the predictive accuracy of Prostate Cancer Research International: Active Surveillance and Epstein criteria to identify prostate cancer patients eligible for active surveillance.

The roles of multiparametric magnetic resonance imaging, PCA3 and prostate health index-which is the best predictor of prostate cancer after a negative biopsy?

PURPOSE: In patients with a negative prostate biopsy and persistent suspicion of prostate cancer, additional analyses such as the PCA3 score, PHI and multiparametric magnetic resonance imaging have been proposed to reduce the number of unnecessary repeat biopsies. In this study we evaluate the diagnostic accuracy of PCA3, PHI, multiparametric magnetic resonance imaging and various combinations of these tests in the repeat biopsy setting. MATERIALS AND METHODS: A total of 170 patients with an initial negative prostate biopsy and persistent suspicion of prostate cancer were enrolled in this prospective study. The patients underwent measurements of the total prostate specific antigen and free prostate specific antigen rate, along with PHI, PCA3 tests and multiparametric magnetic resonance imaging before standard repeat biopsy that was performed by urologists blinded to the multiparametric magnetic resonance imaging results. Multivariate logistic regression models with various combinations of PCA3, PHI and multiparametric magnetic resonance imaging were used to identify the predictors of prostate cancer with repeat biopsy, and the performance of these models was compared using ROC curves, AUC analysis and decision curve analysis. RESULTS: In the ROC analysis the most significant contribution was provided by multiparametric magnetic resonance imaging (AUC 0.936), which was greater than the contribution of the PHI+PCA3 model (p <0.001). In the multivariate logistic regression analysis only multiparametric magnetic resonance imaging was a significant independent predictor of prostate cancer diagnosis with repeat biopsy (p <0.001). The results of the decision curve analysis confirmed that the most significant improvement in the net benefit was provided by multiparametric magnetic resonance imaging. CONCLUSIONS: Multiparametric magnetic resonance imaging provides high diagnostic accuracy in identifying patients with prostate cancer in the repeat biopsy setting compared with PCA3 and PHI.

Fluctuation in prostate cancer gene 3 (PCA3) score in men undergoing first or repeat prostate biopsies.

OBJECTIVE: To evaluate the variability in prostate cancer gene 3 (PCA3) score over time in men with elevated serum prostate-specific antigen (PSA) levels who are undergoing first or repeat prostate biopsy. PATIENTS AND METHODS: A total of 360 men from two Italian institutions who had undergone at least two PCA3 assessments were selected. Of these, 97.5% were scheduled for first or repeat prostate biopsy because of elevated PSA level and/or positive digital rectal examination (DRE). We compared the PCA3 scores in men with a negative biopsy (normal parenchyma, benign prostatic hyperplasia [BPH], chronic prostatitis, high-grade prostate intraepithelial neoplasia [HG-PIN]) with those in men with a positive biopsy. We evaluated PCA3 repeated measures biological variability and its possible association with basic patient characteristics (age, family history of prostate cancer, DRE, prostate volume, BPH, prostatitis and HG-PIN). Three different thresholds were used to evaluate the possible changes in risk class: the standard threshold (a PCA3 score of 35), a US Food and Drug Administation-approved PCA3 threshold of 25 and a threshold selected based on our previous research which was a PCA3 score of 50. RESULTS: The PCA3 scores varied significantly (P < 0.001) when comparing men with a negative biopsy with those with a positive biopsy (median [range] PCA3 score: 25 [2-276] vs 43 [7-331]). There was no significant difference in PCA3 scores in men with chronic prostatitis and HG-PIN compared with other men with negative biopsies. The median (range) time between the two PCA3 assessments was 16.2 (3-53.7) months. No association was found between PCA3 repeated measures modifications and age, family history of prostate cancer, DRE, BPH, prostatitis, HG-PIN and use of 5-α-reductase inhibitors. The variability of PCA3 scores on repeated measures confirmed the risk class for about 80% of patients; of the remaining 20% of patients, the risk class was upgraded in two thirds and downgraded in one third. CONCLUSION: PCA3 score can be considered a stable marker over time in most cases but there is a group of men among whom there is clinically notable risk class change. Further investigation is required to determine the genesis of this phenomenon.

Head-to-head comparison of prostate health index and urinary PCA3 for predicting cancer at initial or repeat biopsy.

PURPOSE: We performed a head-to-head comparison of the PHI (Prostate Health Index) and PCA3. MATERIALS AND METHODS: We evaluated PHI and PCA3 performance in 211 patients undergoing initial (116) or repeat (95) prostate biopsy. Multivariable logistic regression analysis was done using the AUC to test the accuracy of PHI and PCA3 for predicting prostate cancer in the overall population and in each setting. Decision curve analysis was used to compare the clinical benefit of different models. RESULTS: Overall, the AUC of the PHI (0.70) was significantly higher than the AUC of PCA3 (0.59), total prostate specific antigen (0.56) and free-to-total prostate specific antigen (0.60) (p = 0.043, 0.002 and 0.037, respectively). PHI was more accurate than PCA3 for predicting prostate cancer in the initial setting (AUC 0.69 vs 0.57) and in the repeat setting (AUC 0.72 vs 0.63), although no statistically significant difference was observed. Including PCA3 in the base multivariable model (prostate specific antigen plus free-to-total prostate specific antigen plus prostate volume) did not increase predictive accuracy in either setting (AUC 0.79 vs 0.80 and 0.75 vs 0.76, respectively). Conversely, including PHI in the base multivariable model improved predictive accuracy by 5% (AUC 0.79 to 0.84) and 6% (AUC 0.75 to 0.81) in the initial and repeat prostate biopsy settings, respectively. On decision curve analysis the highest net benefit was observed when PHI was added to the base multivariable model. CONCLUSIONS: PHI and PCA3 provide a significant increase in sensitivity and specificity compared to all other examined markers and they may help guide biopsy decisions. PCA3 does not increase the accuracy of predicting prostate cancer when PHI is assessed.

Three-dimensional automatic artificial intelligence driven augmented-reality selective biopsy during nerve-sparing robot-assisted radical prostatectomy: A feasibility and accuracy study.

Objective: To evaluate the accuracy of our new three-dimensional (3D) automatic augmented reality (AAR) system guided by artificial intelligence in the identification of tumour's location at the level of the preserved neurovascular bundle (NVB) at the end of the extirpative phase of nerve-sparing robot-assisted radical prostatectomy. Methods: In this prospective study, we enrolled patients with prostate cancer (clinical stages cT1c-3, cN0, and cM0) with a positive index lesion at target biopsy, suspicious for capsular contact or extracapsular extension at preoperative multiparametric magnetic resonance imaging. Patients underwent robot-assisted radical prostatectomy at San Luigi Gonzaga Hospital (Orbassano, Turin, Italy), from December 2020 to December 2021. At the end of extirpative phase, thanks to our new AAR artificial intelligence driven system, the virtual prostate 3D model allowed to identify the tumour's location at the level of the preserved NVB and to perform a selective excisional biopsy, sparing the remaining portion of the bundle. Perioperative and postoperative data were evaluated, especially focusing on the positive surgical margin (PSM) rates, potency, continence recovery, and biochemical recurrence. Results: Thirty-four patients were enrolled. In 15 (44.1%) cases, the target lesion was in contact with the prostatic capsule at multiparametric magnetic resonance imaging (Wheeler grade L2) while in 19 (55.9%) cases extracapsular extension was detected (Wheeler grade L3). 3D AAR guided biopsies were negative in all pathological tumour stage 2 (pT2) patients while they revealed the presence of cancer in 14 cases in the pT3 cohort (14/16; 87.5%). PSM rates were 0% and 7.1% in the pathological stages pT2 and pT3 (<3 mm, Gleason score 3), respectively. Conclusion: With the proposed 3D AAR system, it is possible to correctly identify the lesion's location on the NVB in 87.5% of pT3 patients and perform a 3D-guided tailored nerve-sparing even in locally advanced diseases, without compromising the oncological safety in terms of PSM rates.

A prospective randomized controlled trial comparing target prostate biopsy alone approach vs. target plus standard in naïve patients with positive mpMRI.

BACKGROUND: In the era of mpMRI guided target fusion biopsy (FB), the role of concomitant standard biopsy (SB) in naïve patients still remains under scrutiny. The aim of this study was to compare the detection rate (DR) of clinically significant prostate cancer (csPCa) in biopsy naïve patients with positive mpMRI who underwent FB alone (Arm A) vs FB+SB (Arm B). Secondary objectives were to compare the incidence of complications, the overall PCa DR and the biopsy results with final pathological findings after robotic prostatectomy (RARP). METHODS: This is a single center prospective non-inferiority parallel two arms (1:1) randomized control trial (ISRCTN registry number ISRCTN60263108) which took place at San Luigi Gonzaga University Hospital, Orbassano (Turin, Italy) from 4/2019 to 10/2021. Eligible participants were all adults aged<75 years old, biopsy naïve, with serum PSA<15 ng/mL and positive mpMRI (Pi-Rads V.2>3). FB was performed under ultrasound guidance using the BioJet fusion system; four to six target samples were obtained for each index lesion. SB was performed in accordance with the protocol by Rodríguez-Covarrubias. RARP with total anatomical reconstruction was carried out when indicated. DR of PCa and csPCA (Gleason Score >7) were evaluated. Post-biopsy complications according to Clavien-Dindo were recorded. Concordance between biopsy and RARP pathological findings was evaluated. Fisher's Exact test and Mann-Whitney test were applied; furthermore, Logistic Principal Component Analysis (LogPCA) and Pearson's correlation method, in terms of correlation funnel plots, were performed to explore data in a multivariate way. RESULTS: 201 and 193 patients were enrolled in Arm A and B, respectively. csPCa DR was 60.2% vs. 60.6% in Arm A and B respectively (Δ 0.4%; P=0.93); whilst overall PCa DR was 63.7% vs. 71.0% (Δ 7.3%; P=0.12). However, in a target only setting, the addition of SB homolaterally to the index lesion reaching a non-inferior performance compared to the combined sampling (Δ PCa DR 3%). Although the differences of 7.3% in PCa DR, during RARP were registered similar nerve sparing rate (P=0.89), positive surgical margins (P=0.67) and rate of significant upgrading (P=0.12). LogPCA model showed no distinction between the two cohorts; and Pearson's correlation values turned to be between -0.5 and +0.5. In Arm B, the lesion diameter <10 mm is the only predictive variable of positive SB only for PCa (P=0.04), with an additional value +3% for PCa DR. CONCLUSIONS: In biopsy naïve patients, FB alone is not inferior to FB+SB in detecting csPCa (Δ csPCa DR 0.4%). Δ 7.3% in overall PCa DR was registered between the two Arms, however the addition of further standard samples homolaterally to mp-MRI index lesion improved the overall PCa DR of FB only sampling (Δ PCa DR 3%). The omission of SB did not influence the post-surgical outcomes in terms of NS approach, PSMr and upgrading/downgrading.

Patient and Context Factors in the Adoption of Active Surveillance for Low-Risk Prostate Cancer.

Importance: Although active surveillance for patients with low-risk prostate cancer (LRPC) has been recommended for years, its adoption at the population level is often limited. Objective: To make active surveillance available for patients with LRPC using a research framework and to compare patient characteristics and clinical outcomes between those who receive active surveillance vs radical treatments at diagnosis. Design, Setting, and Participants: This population-based, prospective cohort study was designed by a large multidisciplinary group of specialists and patients' representatives. The study was conducted within all 18 urology centers and 7 radiation oncology centers in the Piemonte and Valle d'Aosta Regional Oncology Network in Northwest Italy (approximate population, 4.5 million). Participants included patients with a new diagnosis of LRPC from June 2015 to December 2021. Data were analyzed from January to May 2023. Exposure: At diagnosis, all patients were informed of the available treatment options by the urologist and received an information leaflet describing the benefits and risks of active surveillance compared with active treatments, either radical prostatectomy (RP) or radiation treatment (RT). Patients choosing active surveillance were actively monitored with regular prostate-specific antigen testing, clinical examinations, and a rebiopsy at 12 months. Main Outcomes and Measures: Outcomes of interest were proportion of patients choosing active surveillance or radical treatments, overall survival, and, for patients in active surveillance, treatment-free survival. Comparisons were analyzed with multivariable logistic or Cox models, considering centers as clusters. Results: A total of 852 male patients (median [IQR] age, 70 [64-74] years) were included, and 706 patients (82.9%) chose active surveillance, with an increasing trend over time; 109 patients (12.8%) chose RP, and 37 patients (4.3%) chose RT. Median (IQR) follow-up was 57 (41-76) months. Worse prostate cancer prognostic factors were negatively associated with choosing active surveillance (eg, stage T2a vs T1c: odds ratio [OR], 0.51; 95% CI, 0.28-0.93), while patients who were older (eg, age ≥75 vs <65 years: OR, 4.27; 95% CI, 1.98-9.22), had higher comorbidity (Charlson Comorbidity Index ≥2 vs 0: OR, 1.98; 95% CI, 1.02-3.85), underwent an independent revision of the first prostate biopsy (OR, 2.35; 95% CI, 1.26-4.38) or underwent a multidisciplinary assessment (OR, 2.65; 95% CI, 1.38-5.11) were more likely to choose active surveillance vs active treatment. After adjustment, center at which a patient was treated continued to be an important factor in the choice of treatment (intraclass correlation coefficient, 18.6%). No differences were detected in overall survival between active treatment and active surveillance. Treatment-free survival in the active surveillance cohort was 59.0% (95% CI, 54.8%-62.9%) at 24 months, 54.5% (95% CI, 50.2%-58.6%) at 36 months, and 47.0% (95% CI, 42.2%-51.7%) at 48 months. Conclusions and Relevance: In this population-based cohort study of patients with LRPC, a research framework at system level as well as favorable prognostic factors, a multidisciplinary approach, and an independent review of the first prostate biopsy at patient-level were positively associated with high uptake of active surveillance, a practice largely underused before this study.

Surgical margin status of specimen and oncological outcomes after laparoscopic radical prostatectomy: experience after 400 procedures.

PURPOSE: To analyse the surgical margins status of prostatic glands, resected by laparoscopic radical prostatectomy (LRP) for prostate cancer, and to correlate it with biochemical free survival rate (BFSR). METHODS: Data were collected prospectively from 405 patients undergoing LRP from 2000 to 2009 at a single institution. Patients undergoing neoadjuvant and/or adjuvant therapy were excluded from the study. Three hundred patients matched all the criteria: 232 of these had negative surgical margins (NSM) and 68 positive surgical margins (PSM). The median follow-up was 62 months. PSM were classified based on the following: (a) the number of margins, monofocal and multifocal, (b) the location, apical or non-apical and (c) the extension, ≤2.8 mm or >2.8 mm. These data were then entered into a multivariate analysis. RESULTS: Overall BFSR rate was 67.6% in PSM group and 88.8% in NSM group (P < 0.001). We registered a HR of 3.78 in multivariate analysis (P < 0.001). In terms of the extension, BFSR in univariate survival analysis was 77.8% in ≤2.8 mm PSM and 38.9% in >2.8 mm PSM (P = 0.003), with a HR of 5.68 (P = 0.011) in multivariate analysis. BFSR was 59% for apical margins and 77% for non-apical margins (P = 0.038). In monofocal margins, BFSR was 73%, while 53% in multifocal (P = 0.014). CONCLUSIONS: We recommend careful evaluation of patients with PSM following LRP, especially if they are more than 2.8 mm, and in these cases, adjuvant therapy should be considered after radical surgery.

Diagnostic accuracy and clinical impact of imaging-guided needle biopsy of renal masses. Retrospective analysis on 150 cases.

OBJECTIVE: To review our method of perform needle biopsies of renal masses. METHODS: We analysed 150 consecutive imaging-guided percutaneous biopsies. The pathological diagnosis was verified on clinical outcome in 129 cases (40 surgical resection, 53 thermal ablation, two medical treatment and 34 watchful waiting). Twenty-six patients underwent fine-needle aspiration biopsy (FNAB), 45 core-needle biopsy (CB) and 58 FNAB + CB. After review by two expert pathologists, cumulative accuracy of all FNAB (84) and all CB (103) was calculated. The rate of complications and mass management other than surgery was estimated. RESULTS: The final diagnosis was malignancy in 97 cases (benign mass in 32). FNAB correctly diagnosed 64/84 masses (76.2%), CB 96/103 (93.2%). Of 58 masses submitted for both FNAB and CB, CB provided a 22.5% accuracy improvement. Major and minor complications occurred in 0% and 5.3%. Renal biopsy altered clinical management in 89/129 cases (68.9%), in terms of choosing therapeutic options other than surgery. CONCLUSION: CB is more accurate than FNAB and should be preferred in renal mass biopsy. FNAB may precede CB when an expert pathologist can immediately evaluate the samples. Renal biopsy influences renal mass management.

Adrenal Rests in the Uro-genital Tract of an Adult Population.

Ectopic adrenal rests are a rare condition which can be found in various sites, generally in the retroperitoneum or pelvis along the path of gonadal descent. Their real prevalence is unknown. Males are more commonly affected, at least in the pediatric age. Adrenal rests are usually clinically silent and incidentally found in surgical samples, mostly in the pediatric population, and rarely in adults. With the aim of increasing knowledge and estimating the prevalence of ectopic adrenocortical tissue in the adult population, 44 adrenal rests in the urogenital tract of 40 adults are described. These represent approximately 0.07% of the total number of urogenital and gynecological surgeries performed in the 22 considered years. Adrenal rests were identified in the spermatic cord (10 males) and in paraovarian, parasalpingeal, or infundibulopelvic ligament locations (30 females). All but one was incidental findings. One case regarded an adrenocortical carcinoma arisen in adrenal rests. A literature review of adrenal ectopia in the urogenital tract of adults identified 57 reported cases from 53 patients, with similar clinicopathological features as those of our series, with the exception of a lower incidence of parasalpingeal locations. Despite their limited clinical implications, awareness of ectopic adrenal rests is essential also in adults for at least two reasons: (a) to correctly identify sources of adrenocortical hormone production in case of adrenal insufficiency or hormonal imbalance and (b) to avoid misinterpretations in the diagnostic workup of renal cell carcinoma, adrenocortical tumors, and rare gonadal neoplasms, including Sertoli/Leydig cell tumors.

Diagnostic Accuracy of Single-plane Biparametric and Multiparametric Magnetic Resonance Imaging in Prostate Cancer: A Randomized Noninferiority Trial in Biopsy-naïve Men.

BACKGROUND: Urological guidelines recommend multiparametric magnetic resonance imaging (mpMRI) in men with a suspicion of prostate cancer (PCa). The resulting increase in MRI demand might place health care systems under substantial stress. OBJECTIVE: To determine whether single-plane biparametric MRI (fast MRI) workup could represent an alternative to mpMRI in the detection of clinically significant (cs) PCa. DESIGN, SETTING, AND PARTICIPANTS: Between April 2018 and February 2020, 311 biopsy-naïve men aged ≤75 yr with PSA ≤15 ng/ml and negative digital rectal examination were randomly assigned to 1.5-T fast MRI (n = 213) or mpMRI (n = 98). INTERVENTION: All MRI examinations were classified according to Prostate Imaging-Reporting and Data System (PI-RADS) version 2. Men scored PI-RADS 1-2 underwent 12-core standard biopsy (SBx) and those with PI-RADS 4-5 on fast MRI or PI-RADS 3-5 on mpMRI underwent targeted biopsy in combination with SBx. Equivocal cases on fast MRI (PI-RADS 3) underwent mpMRI and then biopsy according to the findings. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The primary outcome was to compare the detection rate of csPCa in both study arms, setting a 10% difference for noninferiority. The secondary outcome was to assess the role of prostate-specific antigen density (PSAD) in ruling out men who could avoid biopsy among those with equivocal findings on fast MRI. RESULTS AND LIMITATIONS: The overall MRI detection rate for csPCa was 23.5% (50/213; 95% confidence interval [CI] 18.0-29.8%) with fast MRI and 32.7% (32/98; 95% CI 23.6-42.9%) with mpMRI (difference 9.2%; p = 0.09). The reproducibility of the study could have been affected by its single-center nature. CONCLUSIONS: Fast MRI followed by mpMRI in equivocal cases is not inferior to mpMRI in the detection of csPCa among biopsy-naïve men aged ≤75 yr with PSA ≤15 ng/ml and negative digital rectal examination. These findings could pave the way to broader use of MRI for PCa diagnosis. PATIENT SUMMARY: A faster MRI (magnetic resonance imaging) protocol with no contrast agent and fewer scan sequences for examination of the prostate is not inferior to the typical MRI approach in the detection of clinically significant prostate cancer. If our findings are confirmed in other studies, fast MRI could represent a time-saving and less invasive examination for men with suspicion of prostate cancer. This trial is registered at ClinicalTrials.gov as NCT03693703.

Are tyrosine kinase inhibitors an effective treatment in testicular metastases from kidney cancer? Case report.

Testicular metastases from renal cell carcinoma (RCC) are extremely rare. Tyrosine kinase inhibitors (TKI) are the cornerstone of systemic therapy for metastatic RCC. We report a case of testicular metastasis in a 72-year-old patient with RCC that developed 17 years after nephrectomy and response to TKI treatment, a retrospective literature search on testicular metastases from RCC, and the indirect evidence described in the literature on the efficacy of chemotherapy and target therapy on testicular lesions.

Molecular Characterization of Prostate Cancers in the Precision Medicine Era.

Prostate cancer (PCa) therapy has been recently revolutionized by the approval of new therapeutic agents in the metastatic setting. However, the optimal therapeutic strategy in such patients should be individualized in the light of prognostic and predictive molecular factors, which have been recently studied: androgen receptor (AR) alterations, PTEN-PI3K-AKT pathway deregulation, homologous recombination deficiency (HRD), mismatch repair deficiency (MMRd), and tumor microenvironment (TME) modifications. In this review, we highlighted the clinical impact of prognostic and predictive molecular factors in PCa patients' outcomes, identifying biologically distinct subtypes. We further analyzed the relevant methods to detect these factors, both on tissue, i.e., immunohistochemistry (IHC) and molecular tests, and blood, i.e., analysis of circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA). Moreover, we discussed the main pros and cons of such techniques, depicting their present and future roles in PCa management, throughout the precision medicine era.

Low-dose radiotherapy for extranodal marginal zone B lymphoma of the lip: Case report and literature review.

Non-Hodgkin lymphoma (NHL) of the lip is extremely rare. It is usually indolent and in early stages a local approach is often indicated. We present a case report of a patient with extranodal NHL of the lip treated with chemotherapy and low-dose radiation treatment (RT). The patient was affected by B-cell NHL of the marginal zone, Stage IAE. After a few months of observation with progressive disease, the patient was submitted to two cycles of chemotherapy with no response. Therefore, he was treated with very low-dose RT consisting of two fractions of 2 Gy. Complete response was observed and after 1-year follow-up, persistent complete response was recorded. In cases of localized disease, especially in patients with comorbidities of poor performance status (PS), low-dose RT can be an appropriate approach with excellent outcomes in terms of effectiveness and low risk of toxicity.

A Fully Automatic Artificial Intelligence System Able to Detect and Characterize Prostate Cancer Using Multiparametric MRI: Multicenter and Multi-Scanner Validation.

In the last years, the widespread use of the prostate-specific antigen (PSA) blood examination to triage patients who will enter the diagnostic/therapeutic path for prostate cancer (PCa) has almost halved PCa-specific mortality. As a counterpart, millions of men with clinically insignificant cancer not destined to cause death are treated, with no beneficial impact on overall survival. Therefore, there is a compelling need to develop tools that can help in stratifying patients according to their risk, to support physicians in the selection of the most appropriate treatment option for each individual patient. The aim of this study was to develop and validate on multivendor data a fully automated computer-aided diagnosis (CAD) system to detect and characterize PCas according to their aggressiveness. We propose a CAD system based on artificial intelligence algorithms that a) registers all images coming from different MRI sequences, b) provides candidates suspicious to be tumor, and c) provides an aggressiveness score of each candidate based on the results of a support vector machine classifier fed with radiomics features. The dataset was composed of 131 patients (149 tumors) from two different institutions that were divided in a training set, a narrow validation set, and an external validation set. The algorithm reached an area under the receiver operating characteristic (ROC) curve in distinguishing between low and high aggressive tumors of 0.96 and 0.81 on the training and validation sets, respectively. Moreover, when the output of the classifier was divided into three classes of risk, i.e., indolent, indeterminate, and aggressive, our method did not classify any aggressive tumor as indolent, meaning that, according to our score, all aggressive tumors would undergo treatment or further investigations. Our CAD performance is superior to that of previous studies and overcomes some of their limitations, such as the need to perform manual segmentation of the tumor or the fact that analysis is limited to single-center datasets. The results of this study are promising and could pave the way to a prediction tool for personalized decision making in patients harboring PCa.