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Prostate cancer represents a significant public health challenge, with its management requiring precise diagnostic and prognostic tools. Prostate-specific membrane antigen (PSMA), a cell surface enzyme overexpressed in prostate cancer cells, has emerged as a pivotal biomarker. PSMA's ability to increase the sensitivity of PET imaging has revolutionized its application in the clinical management of prostate cancer. The advancements in PET-PSMA imaging technologies and methodologies, including the development of PSMA-targeted radiotracers and optimized imaging protocols, led to diagnostic accuracy and clinical utility across different stages of prostate cancer. This highlights its superiority in staging and its comparative effectiveness against conventional imaging modalities. This paper analyzes the impact of PET-PSMA on prostate cancer management, discussing the existing challenges and suggesting future research directions. The integration of recent studies and reviews underscores the evolving understanding of PET-PSMA imaging, marking its significant but still expanding role in clinical practice. This comprehensive review serves as a crucial resource for clinicians and researchers involved in the multifaceted domains of prostate cancer diagnosis, treatment, and management.

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Background/Objectives: The presence of seminal vesicle invasion (SVI) in prostate cancer (PCa) is associated with poorer postoperative outcomes. This study evaluates the predictive value of magnetic resonance imaging (MRI) and prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) for SVI in PCa. Methods: This cohort study included consecutive robotic prostatectomy patients for PCa at three Australian tertiary referral centres between April 2016 and September 2022. MRI and PSMA PET/CT results, clinicopathological variables, including age, BMI, prostate-specific antigen (PSA), PSA density, DRE, Biopsy Gleason score, Positive biopsy cores, PIRADS v2.1 score, MRI volume and MRI lesion size were extracted. The sensitivity, specificity, and accuracy of MRI and PSMA PET/CT for predicting SVI were compared with the histopathological results by receiver operating characteristic (ROC) analysis. Subgroup univariate and multivariate analysis was performed. Results: Of the 528 patients identified, 86 had SVI on final pathology. MRI had a low sensitivity of 0.162 (95% CI: 0.088-0.261) and a high specificity of 0.963 (95% CI: 0.940-0.979). The PSMA PET/CT had a low sensitivity of 0.439 (95% CI: 0.294-0591) and a high specificity of 0.933 (95% CI: 0.849-0.969). When MRI and PSMA PET/CT were used in combination, the sensitivity and specificity improved to 0.514 (95%CI: 0.356-0.670) and 0.880 (95% CI: 0.813-0.931). The multivariate regression showed a higher biopsy Gleason score (p = 0.033), higher PSA (p < 0.001), older age (p = 0.001), and right base lesions (p = 0.003) to be predictors of SVI. Conclusions: MRI and PSMA PET/CT independently underpredicted SVI. The sensitivity and AUC improved when they were used in combination. Multiple clinicopathological factors were associated with SVI on multivariate regression and predictive models incorporating this information may improve oncological outcomes.

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Cancer spread beyond the prostate, including extraprostatic extension (other than seminal vesicle or bladder invasion; EPE)/microscopic bladder neck invasion and seminal vesicle invasion (SVI) currently classified as pT3a and pT3b lesions, respectively, does not uniformly indicate poor oncologic outcomes. Accurate risk stratification of current pT3 disease is therefore required. We herein further determined the prognostic impact of these histopathologic lesions routinely assessed and reported by pathologists, particularly their combinations. We assessed consecutive 2892 patients undergoing radical prostatectomy for current pT2 (n = 1692), pT3a (n = 956), or pT3b (n = 244) disease at our institution between 2009 and 2018. Based on our preliminary findings, point(s) were given (1 point to focal EPE, microscopic bladder neck invasion, or unilateral SVI; 2 points to nonfocal/established EPE or bilateral SVI) and summed up in each case. Our cohort had 0 point (n = 1692, 58.5%; P0), 1 point (n = 243, 8.4%; P1), 2 points (n = 657, 22.7%; P2), 3 points (n = 192, 6.6%; P3), 4 points (n = 76, 2.6%; P4), and 5 points (n = 32, 1.1%; P5). Univariate analysis revealed associations of higher points with significantly worse biochemical progression-free survival, particularly when P4 and P5 were combined. In multivariable analysis (P0 as a reference), P1 (hazard ratio [HR], 1.57; P = .033), P2 (HR, 3.25; P < .001), P3 (HR, 4.01; P < .001), and P4 + P5 (HR, 5.99; P < .001) showed significance for the risk of postoperative progression. Meanwhile, Harrell C-indexes for the current pT staging, newly developed point system, and the Cancer of the Prostate Risk Assessment post-Surgical (CAPRA-S) score were 0.727 (95% CI, 0.706-0.748), 0.751 (95% CI, 0.729-0.773), and 0.774 (95% CI, 0.755-0.794), respectively, for predicting progression. We believe our data provide a logical rationale for a novel pathologic T-staging system based on the summed points, pT1a (0 point), pT1b (1 point), pT2 (2 points), pT3a (3 points), and pT3b (4 or 5 points), which more accurately stratifies the prognosis of prostate cancer.

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PURPOSE: Pathologic T3b (pT3b) prostate cancer, characterized by seminal vesicle invasion (SVI), exhibits variable oncological outcomes post-radical prostatectomy (RP). Identifying prognostic factors is crucial for patient-specific management. This study investigates the impact of bilateral SVI on prognosis in pT3b prostate cancer. MATERIALS AND METHODS: We evaluated the medical records of a multi-institutional cohort of men who underwent RP for prostate cancer with SVI between 2000 and 2012. Univariate and multivariable analyses were performed using Kaplan-Meier analysis and covariate-adjusted Cox proportional hazard regression for biochemical recurrence (BCR), clinical progression (CP), and cancer-specific survival (CSS). RESULTS: Among 770 men who underwent RP without neo-adjuvant treatment, median follow-up was 85.7 months. Patients with bilateral SVI had higher preoperative prostate-specific antigen levels and clinical T category (all p < 0.001). Extracapsular extension, tumor volume, lymph node metastasis (p < 0.001), pathologic Gleason grade group (p < 0.001), and resection margin positivity (p < 0.001) were also higher in patients with bilateral SVI. The 5-, 10-, and 15-year BCR-free survival rates were 23.9%, 11.7%, and 8.5%; CP-free survival rates were 82.8%, 62.5%, and 33.4%; and CSS rates were 96.4%, 88.1%, and 69.5%, respectively. The bilateral SVI group demonstrated significantly lower BCR-free survival rates, CP-free survival rates, and CSS rates (all p < 0.001). Bilateral SVI was independently associated with BCR (hazard ratio, 1.197; 95% confidence interval, p=0.049), CP (p=0.022), and CSS (p=0.038) in covariate-adjusted Cox regression. CONCLUSION: Bilateral SVI is a robust, independent prognostic factor for poor oncological outcomes in pT3b prostate cancer.

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Background: The aim of the study was to investigate the predictive value of the nutritional risk index (NRI) for extracapsular extension (ECE) and seminal vesicle invasion (SVI) in prostate cancer (PCa) patients undergoing radical prostatectomy (RP), and further develop and validate predictive nomograms for ECE and SVI based on the NRI. Methods: We retrospectively analyzed 734 PCa patients who underwent RP between 2010 and 2020 in the Department of Urology at Peking University Third Hospital. The enrolled patients were randomly divided into a primary cohort (n = 489) and a validation cohort (n = 245) in a 2:1 manner. The baseline NRI of patients was calculated using serum albumin level and body mass index, and a malnutrition status was defined as NRI ≤ 98. Univariate and multivariate logistic regression analyses were conducted to identify predictors for ECE and SVI. Nomograms for predicting ECE and SVI were established based on the results of the multivariate logistic regression analysis. The performance of the nomograms was estimated using Harrell's concordance index (C-index), the area under curve (AUC) of receiver operating characteristic (ROC) curves and the calibration curves. Results: In the primary cohort, 70 (14.3%) patients with NRI ≤ 98 were classified as malnutrition, while the remaining 419 (85.7%) patients with NRI > 98 were considered to have normal nutrition. The nomograms for predicting ECE and SVI shared common factors including NRI, percentage of positive biopsy cores (PPC) and biopsy Gleason score, while prostate-specific antigen (PSA) levels and PSA density (PSAD) were only incorporated in ECE nomogram. The C-indexes of the nomograms for predicting ECE and SVI were 0.785 (95% confidence interval (CI): 0.745 - 0.826) and 0.852 (95% CI: 0.806 - 0.898), respectively. The calibration curves demonstrated excellent agreement between the predictions by the nomograms and the actual observations. The results remained reproducible when the nomograms were applied to the validation cohort. Conclusions: The NRI is significantly associated with ECE and SVI in PCa patients. The nomogram established based on the NRI in our study can provide individualized risk estimation for ECE and SVI in PCa patients, and may be valuable for clinicians in making well-informed decisions regarding treatment strategies and patient management.

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PURPOSE: Prostate-specific antigen (PSA) is thought to be undetectable (< 0.1 ng/mL) after radical prostatectomy (RP), and persistent PSA (≥ 0.1 ng/mL) is considered a failure of curative treatment. MATERIALS AND METHODS: The study population consisted of 135 patients, all of whom underwent RP for localized prostate cancer, and developed persistent PSA. We set the starting point at the timing of RP, and the endpoints were the development of castration-resistant prostate cancer (CRPC) and cancer-specific survival. RESULTS: Salvage radiation therapy (RT) and androgen deprivation therapy (ADT) were performed in 53 (39.3%) and 64 (47.4%) patients, respectively. Eighteen (13.3%) patients didn't receive any salvage treatment. During the median follow-up of 10.1 years, CRPC was observed in 23 patients, and 6 patients died due to prostate cancer. Kaplan-Meier curves demonstrated the 15-year CRPC-free and cancer-specific survivals were 79.5% and 92.7%, respectively. Cox multivariate analysis demonstrated that seminal vesicle invasion (SVI) (p = 0.007) and nadir PSA ≥1.0 ng/mL (p = 0.002) were independent risk factors for CRPC. Salvage RT demonstrated better cancer control (the 10-and 15-year CRPC-free survival was 94.1% and 94.1%) compared to ADT (75.9% and 58.5%, p = 0.017) after 1:1 propensity score matching. CONCLUSIONS: SVI and nadir PSA ≥1.0 ng/mL are independent risk factors for CRPC in patients with persistent PSA after RP. Salvage RT is considered to be the optimal treatment for this condition.

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OBJECTIVE: Prostate cancer with seminal vesicle invasion (SVI) has been considered an aggressive cancer. To evaluate the prognostic significance of different patterns of isolated SVI in patients undergoing radical prostatectomy (RP) and pelvic lymphadenectomy. METHODS AND MATERIALS: We retrospectively analyzed all patients who underwent RP between 2007 and 2019. Inclusion criteria were localized prostate adenocarcinoma, SVI at RP, at least 24-months follow-up, and no adjuvant treatment. Patterns of SVI were following Ohori's classification: type 1: direct spread along the ejaculatory duct from inside; type 2: seminal vesicle invasion outside the prostate, through the capsule; type 3: the presence of cancer island(s) in the seminal vesicle with no continuity from the primary tumor (discontinuous metastases). Patients with type 3 SVI (isolated or in association) were included in the same group. Biochemical recurrence (BCR) was defined as any postoperative PSA ≥0.2 ng/ml. A logistic regression analysis was performed to assess predictors of BCR. Time to BCR was investigated using the Kaplan-Meier analysis with the log-rank test. RESULTS: Sixty-one out of 1,356 patients were included. Median age was 67(7.2) years. Median PSA was 9.4(8.92) ng/ml. Mean follow-up was 85.28 ± 45.27 months. BCR occurred in 28(45.9%) patients. Logistic regression showed that a positive surgical margin (OR 19.964, 95%CI:1.172-29.322, P = 0.038) was predictor of BCR. Kaplan-Meier analysis demonstrated that patients with pattern 3 had a significantly shorter time to BCR compared to other groups (log-rank, P = 0.016). The estimated time to BCR was 48.7 months in type 3, 60.9 months in pattern 1 + 2, 74.8, and 100.8 months in isolated patterns 1 and 2, respectively. In patients with negative surgical margins, pattern 3 confirmed a shorter time to BCR compared to other types of invasions, with an estimated time to BCR of 30.8 months. CONCLUSIONS: Patients with type 3 SVI demonstrated a shorter time to BCR compared to other patterns.

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INTRODUCTION: Local tumor invasion is a critical factor for the outcome of men with prostate cancer. In particular, seminal vesicle invasion (SVI) has been reported to be associated with a more unfavorable prognosis. A better understanding of the functional state of invading prostate cancer cells is crucial to develop novel therapeutic strategies for patients with locally advanced disease. METHODS: The prognostic impact of local tumor progression was ascertained in over 1,000 men with prostate cancer. Prostate cancer specimens were stained by double-immunohistochemistry for the proliferation marker Ki-67 and the senescence marker p16INK4A. The migratory properties of senescent prostate cancer cells were analyzed in vitro using a wound healing assay and immunofluorescence microscopy for p16INK4A. RESULTS: We confirm the notion that patients with SVI have a more unfavorable prognosis than patients with extraprostatic extension alone. Surprisingly, we found that the tumor invasion front frequently harbors p16INK4A-positive and Ki-67-negative, i.e., senescent, tumor cells. While the intraprostatic tumor periphery was a hotspot for both proliferation and expression of p16INK4A, the area of SVI showed less proliferative activity but was at the same time a hotspot of cells with increased nuclear p16INK4A expression. Senescence was associated with an accelerated migration of prostate cancer cells in vitro. CONCLUSION: This proof-of-concept study shows that invading prostate cancer cells frequently show signs of cellular senescence. This finding may open new avenues for neoadjuvant and adjuvant treatment concepts in men with locally advanced prostate cancer.

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Locally advanced prostate cancer (PCa) with pathological seminal vesicle invasion (pT3b) is a very-high-risk disease associated with biochemical recurrence (BCR), local recurrence, distant metastases, or mortality following definitive therapies. This study aimed to evaluate the risk factors associated with BCR following robot-assisted radical prostatectomy (RARP) in PCa patients with pT3b. A retrospective multicenter cohort study was conducted on 3,195 patients with PCa who underwent RARP at nine domestic centers between September 2011 and August 2021. Biochemical recurrence-free survival (BRFS) after RARP in PCa patients with pT3b was the primary end-point of the study. The secondary end-point was to determine the association between BCR and covariates. We enrolled 188 PCa patients with pT3b. The median follow-up period was 32.8 months. At the end of the follow-up period, 76 patients (40.4%) developed BCR, of whom 15 (8.0%) were BCR at the date of surgery. The 1-, 2-, and 3-year BRFS rates were 76.4, 65.9, and 50.8%, respectively. Multivariate analysis identified initial prostate-specific antigen level and positive surgical margins (PSM) as significant predictors of BCR in PCa patients with pT3b undergoing RARP. In this study, we investigated the BRFS in PCa patients with pT3b. As PSM was an independent predictor of BCR in PCa patients with pT3b, these patients may require a combination of therapies to improve the BCR.

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The purpose of this study was to analyze the value of transrectal shear-wave elastography (SWE) in combination with multivariable tools for predicting adverse pathological features before radical prostatectomy (RP). Preoperative clinicopathological variables, multiparametric magnetic resonance imaging (mp-MRI) manifestations, and the maximum elastic value of the prostate (Emax) on SWE were retrospectively collected. The accuracy of SWE for predicting adverse pathological features was evaluated based on postoperative pathology, and parameters with statistical significance were selected. The diagnostic performance of various models, including preoperative clinicopathological variables (model 1), preoperative clinicopathological variables + mp-MRI (model 2), and preoperative clinicopathological variables + mp-MRI + SWE (model 3), was evaluated with area under the receiver operator characteristic curve (AUC) analysis. Emax was significantly higher in prostate cancer with extracapsular extension (ECE) or seminal vesicle invasion (SVI) with both P < 0.001. The optimal cutoff Emax values for ECE and SVI were 60.45 kPa and 81.55 kPa, respectively. Inclusion of mp-MRI and SWE improved discrimination by clinical models for ECE (model 2 vs model 1, P = 0.031; model 3 vs model 1, P = 0.002; model 3 vs model 2, P = 0.018) and SVI (model 2 vs model 1, P = 0.147; model 3 vs model 1, P = 0.037; model 3 vs model 2, P = 0.134). SWE is valuable for identifying patients at high risk of adverse pathology.

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The purpose of this study was to analyze the value of transrectal shear-wave elastography (SWE) in combination with multivariable tools for predicting adverse pathological features before radical prostatectomy (RP). Preoperative clinicopathological variables, multiparametric magnetic resonance imaging (mp-MRI) manifestations, and the maximum elastic value of the prostate (Emax) on SWE were retrospectively collected. The accuracy of SWE for predicting adverse pathological features was evaluated based on postoperative pathology, and parameters with statistical significance were selected. The diagnostic performance of various models, including preoperative clinicopathological variables (model 1), preoperative clinicopathological variables + mp-MRI (model 2), and preoperative clinicopathological variables + mp-MRI + SWE (model 3), was evaluated with area under the receiver operator characteristic curve (AUC) analysis. Emax was significantly higher in prostate cancer with extracapsular extension (ECE) or seminal vesicle invasion (SVI) with both P < 0.001. The optimal cutoff Emax values for ECE and SVI were 60.45 kPa and 81.55 kPa, respectively. Inclusion of mp-MRI and SWE improved discrimination by clinical models for ECE (model 2 vs model 1, P = 0.031; model 3 vs model 1, P = 0.002; model 3 vs model 2, P = 0.018) and SVI (model 2 vs model 1, P = 0.147; model 3 vs model 1, P = 0.037; model 3 vs model 2, P = 0.134). SWE is valuable for identifying patients at high risk of adverse pathology.

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Background and Objectives: Patients with seminal vesicle invasion (SVI) are a highly heterogeneous group. Prognosis can be affected by many clinical and pathological characteristics. Our aim was to study whether bilateral SVI (bi-SVI) is associated with worse oncological outcomes. Materials and Methods: This is an observational retrospective study that included 146 pT3b patients treated with radical prostatectomy (RP). We compared the results between unilateral SVI (uni-SVI) and bi-SVI. The log-rank test and Kaplan-Meier curves were used to compare biochemical recurrence-free survival (BCR), metastasis-free survival (MFS), and additional treatment-free survival. Cox proportional hazard models were used to identify predictors of BCR-free survival, MFS, and additional treatment-free survival. Results: 34.93% of patients had bi-SVI. The median follow-up was 46.84 months. No significant differences were seen between the uni-SVI and bi-SVI groups. BCR-free survival at 5 years was 33.31% and 25.65% (p = 0.44) for uni-SVI and bi-SVI. MFS at 5 years was 86.03% vs. 75.63% (p = 0.1), and additional treatment-free survival was 36.85% vs. 21.93% (p = 0.09), respectively. In the multivariate analysis, PSA was related to the development of BCR [HR 1.34 (95%CI: 1.01-1.77); p = 0.03] and metastasis [HR 1.83 (95%CI: 1.13-2.98); p = 0.02]. BCR was also influenced by lymph node infiltration [HR 2.74 (95%CI: 1.41-5.32); p = 0.003]. Additional treatment was performed more frequently in patients with positive margins [HR: 3.50 (95%CI: 1.65-7.44); p = 0.001]. Conclusions: SVI invasion is an adverse pathology feature, with a widely variable prognosis. In our study, bilateral seminal vesicle invasion did not predict worse outcomes in pT3b patients despite being associated with more undifferentiated tumors.

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Introducción y objetivos: Este estudio tiene como objetivo investigar la relación entre la invasión perineural (IPN) en la biopsia de próstata con aguja dirigida (BD) y/o sistemática (BS) y las características patológicas adversas del cáncer de próstata (CaP) en los especímenes de prostatectomía.Materiales y métodos: Se incluyeron un total de 95 pacientes varones que recibieron una BD transperineal y/o una BS concomitante, tratados posteriormente con prostatectomía radical asistida por robot para CaP entre octubre de 2015 y junio de 2020. Se calculó el rendimiento de la IPN como prueba de clasificación (sensibilidad, especificidad, valores predictivos positivos y negativos) y su correlación con el CaP clínicamente significativo, la positividad del margen quirúrgico, la extensión extraprostática y la invasión de las vesículas seminales en la prostatectomía.Resultados: La edad media de los pacientes era 65 (60-70) años. Se realizó BD y BS concomitante en 78 (82,1%) pacientes, mientras que 16 (16,8%) pacientes recibieron solo BS y uno (1,1%) solo BD. La frecuencia de IPN en la BD y BS fue de 17 (21,5%) y 32 (34,0%), respectivamente. Los valores de especificidad/predictivos negativos de la IPN para positividad del margen quirúrgico, extensión extraprostática e invasión de las vesículas seminales fueron 79,7/88,7%, 92,5/79,0% y 83,3/96,8%, en la BD, y 71,1/87,1%, 80,7/74,2% y 69,5/91,9%, en la BS, respectivamente. También hubo una correlación estadísticamente significativa entre la IPN en la biopsia y la positividad del margen quirúrgico, la extensión extraprostática y la invasión de las vesículas seminales en la prostatectomía, así como en cuanto al grupo de grado ISUP y el estadio pT.Conclusiones: La ausencia de IPN en la biopsia de próstata con aguja puede predecir un CaP localizado con un estadio pT≤2c y márgenes quirúrgicos negativos; por el contrario, su presencia parece ser un indicador de factores desfavorables en la patología final (AU)

Introduction and objectives: This study aims to investigate the relationship between perineural invasion (PNI) in targeted (TBx) and/or systematic (SBx) prostate needle biopsy and adverse pathological features of prostate cancer (PCa) in prostatectomy specimens.Materials and methods: A total of 95 male patients who underwent transperineal TBx and/or concomitant SBx subsequently treated with robot-assisted radical prostatectomy for PCa between October 2015 and June 2020 were included. The performance of PNI as a classification test (sensitivity, specificity, positive and negative predictive values) and its correlation with clinically significant PCa, surgical margin positivity, extraprostatic extension, and seminal vesicle invasion in prostatectomy were computed.Results: The median age of the patients was 65 (60-70) years. TBx and concomitant SBx were performed in 78 (82.1%) patients, while 16 (16.8%) patients underwent SBx alone and one (1.1%) patient underwent TBx alone. The frequency of PNI in TBx and SBx was 17 (21.5%) and 32 (34.0%), respectively. The specificity/negative predictive values of PNI for surgical margin positivity, extraprostatic extension, and seminal vesicle invasion were 79.7/88.7%, 92.5/79.0%, and 83.3/96.8%, in TBx, and 71.1/87.1%, 80.7/74.2%, and 69.5/91.9%, in SBx, respectively. There was also a statistically significant correlation between PNI in biopsy and surgical margin positivity, extraprostatic extension, and seminal vesicle invasion in prostatectomy as well as the ISUP grade group and pT stage.Conclusions: The absence of PNI in prostate needle biopsy may predict localized PCa with a pT stage≤2c and negative surgical margins in contrast to its presence which appears to be an indicator of unfavorable factors in final pathology (AU)

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INTRODUCTION AND OBJECTIVES: This study aims to investigate the relationship between perineural invasion (PNI) in targeted (TBx) and/or systematic (SBx) prostate needle biopsy and adverse pathological features of prostate cancer (PCa) in prostatectomy specimens. MATERIALS AND METHODS: A total of 95 male patients who underwent transperineal TBx and/or concomitant SBx subsequently treated with robot-assisted radical prostatectomy for PCa between October 2015 and June 2020 were included. The performance of PNI as a classification test (sensitivity, specificity, positive and negative predictive values) and its correlation with clinically significant PCa, surgical margin positivity, extraprostatic extension, and seminal vesicle invasion in prostatectomy were computed. RESULTS: The median age of the patients was 65 (60-70) years. TBx and concomitant SBx were performed in 78 (82.1%) patients, while 16 (16.8%) patients underwent SBx alone and one (1.1%) patient underwent TBx alone. The frequency of PNI in TBx and SBx was 17 (21.5%) and 32 (34.0%), respectively. The specificity/negative predictive values of PNI for surgical margin positivity, extraprostatic extension, and seminal vesicle invasion were 79.7/88.7%, 92.5/79.0%, and 83.3/96.8%, in TBx, and 71.1/87.1%, 80.7/74.2%, and 69.5/91.9%, in SBx, respectively. There was also a statistically significant correlation between PNI in biopsy and surgical margin positivity, extraprostatic extension, and seminal vesicle invasion in prostatectomy as well as the ISUP grade group and pT stage. CONCLUSIONS: The absence of PNI in prostate needle biopsy may predict localized PCa with a pT stage ≤ 2c and negative surgical margins in contrast to its presence which appears to be an indicator of unfavorable factors in final pathology.

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Objective:To investigate the effect of different imaging classifications of prostate cancer seminal vesicle invasion on positive surgical margins (PSM) after laparoscopic radical prostatectomy(LRP).Methods:114 patients with pT 3b stage prostate cancer admitted to Peking University Third Hospital from August 2009 to December 2020 were retrospectively analyzed. The age of the patients was (68.2±7.7) years old, the median pre-biopsy PSA was 20.20 (3.45-186.30) ng/ml, and the patients with biopsy Gleason score of ≤7, and ≥8 was 33 and 81 cases, respectively. The median prostate volume was 33.2 (12.1-155.4) ml. According to the imaging of the seminal vesicle invasion of prostate cancer, the patients were divided into the following types: type Ⅰ, the tumor directly invades the seminal vesicle along the vas deferens; type Ⅱa, the tumor invades the basal capsule of the prostate and invades the seminal vesicle; type Ⅱb, the tumor invades the periprostatic fat and retrogradely invades the seminal vesicles; type Ⅲ, solitary lesions in the seminal vesicles that do not continue with the prostate cancer. All patients underwent LRP, and the PSM were recorded as the base, bilateral, posterior, anterior and apical parts of the prostate. The differences in clinicopathological data of patients with different seminal vesicle invasion imaging types were compared, and the independent risk factors of PSM in pT 3b prostate cancer were evaluated by multivariate analysis. Results:The operative time of 114 cases in this group was (229.4±62.2) min, and the blood loss was 100(20-1 800)ml. The postoperative gross pathological Gleason score was ≤7 in 17 cases and ≥8 in 97 cases. In the imaging classification of prostate cancer with seminal vesicle invasion, there were 28 cases (24.6%) of type Ⅰ, 39 cases (34.2%) of type Ⅱa, 47 cases (41.2%) of type Ⅱb, and no type Ⅲ patients. There was no significant difference in age, body mass index, pre-biopsy PSA, prostate volume, and operation time among patients with type Ⅰ, Ⅱa, and Ⅱb seminal vesicle invasion ( P>0.05). There was a statistically significant difference in blood loss among the three types ( P = 0.001), and the difference in the proportion of lymph node metastasis was statistically significant ( P = 0.013). In the classification of prostate cancer seminal vesicle invasion, the PSM rates of type Ⅰ, Ⅱa and Ⅱb were 28.6% (8/28), 38.5% (15/39) and 70.2% (33/39), and the difference was statistically significant ( P=0.001). The PSM rates of type Ⅰ, Ⅱa, and Ⅱb were 21.4% (6/28), 23.1% (9/39), and 34.0% (16/47), respectively. The results of univariate analysis showed that the biopsy Gleason score ( P = 0.063) and the type of seminal vesicle invasion ( P<0.001) entered into multivariate analysis, and the results of multivariate logistic regression analysis showed that the type of seminal vesicle invasion ( P=0.001) was independent risk factor for PSM after LRP. Conclusions:The PSM rate in patients with type Ⅱb seminal vesicle invasion is significantly higher. The higher imaging type of seminal vesicle invasion is the independent risk factor of PSM after LRP.

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OBJECTIVES: To evaluate whether the extent of seminal vesicle invasion of prostatic adenocarcinoma can stratify the risk of biochemical recurrence after radical prostatectomy. METHODS: We carried out radical prostatectomy for 1309 patients with prostatic adenocarcinoma between 2006 and 2019; 135 (10.3%) patients had seminal vesicle invasion. After excluding patients with neo-/adjuvant therapy, we reviewed 105 patients. We analyzed the correlation of the extent of seminal vesicle invasion and biochemical recurrence-free survival after prostatectomy and adjusted by various clinicopathological factors in multivariate analyses. Seminal vesicle invasion was stratified into three groups; the proximal part from the base was defined as level 1, followed by level 2 and the distal part as level 3. RESULTS: Among the 105 patients, 30 (29%), 54 (51%) and 21 patients (20%) had seminal vesicle invasion at levels 1, 2 and 3, respectively. Median times to biochemical recurrence were 110, 67 and 12 months in patients with levels 1, 2 and 3, respectively (P = 0.002). The extent of seminal vesicle invasion was the independent risk factor for biochemical recurrence in univariate (level 3 vs 1, P = 0.001; level 3 vs 2, P = 0.015) and multivariate analyses (level 3 vs 1, P = 0.025; level 3 vs 2, P = 0.030). CONCLUSIONS: The extent of seminal vesicle invasion might be a significant predictor of biochemical recurrence in prostate cancer patients undergoing radical prostatectomy.

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BACKGROUND: Seminal vesicle invasion (SVI) is considered to be one of most adverse prognostic findings in prostate cancer, affecting the biochemical progression-free survival and disease-specific survival. Multiparametric magnetic resonance imaging (mpMRI) has shown excellent specificity in diagnosis of SVI, but with poor sensitivity. The aim of this study is to create a model that includes the Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) score to predict postoperative SVI in patients without SVI on preoperative mpMRI. METHODS: A total of 262 prostate cancer patients without SVI on preoperative mpMRI who underwent radical prostatectomy (RP) at our institution from January 2012 to July 2019 were enrolled retrospectively. The prostate-specific antigen levels in all patients were <10 ng/mL. Univariate and multivariate logistic regression analyses were used to assess factors associated with SVI, including the PI-RADS v2 score. A regression coefficient-based model was built for predicting SVI. The receiver operating characteristic curve was used to assess the performance of the model. RESULTS: SVI was reported on the RP specimens in 30 patients (11.5%). The univariate and multivariate analyses revealed that biopsy Gleason grade group (GGG) and the PI-RADS v2 score were significant independent predictors of SVI (all P<0.05). The area under the curve of the model was 0.746 (P<0.001). The PI-RADS v2 score <4 and Gleason grade <8 yielded only a 1.8% incidence of SVI with a high negative predictive value of 98.2% (95% CI, 93.0-99.6%). CONCLUSIONS: The PI-RADS v2 score <4 in prostate cancer patients with prostate-specific antigen level <10 ng/mL is associated with a very low risk of SVI. A model based on biopsy Gleason grade and PI-RADS v2 score may help to predict SVI and serve as a tool for the urologists to make surgical plans.

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The nomogram reported by Gandaglia et al (The key combined value of multiparametric magnetic resonance imaging, and magnetic resonance imaging-targeted and concomitant systematic biopsies for the prediction of adverse pathological features in prostate cancer patients undergoing radical prostatectomy. Eur Urol 2020;77:733-41) predicting extracapsular extension (ECE) or seminal vesicle invasion (SVI) has been developed using multiparametric magnetic resonance imaging (MRI) parameters and MRI-targeted biopsy. We aimed to validate this nomogram externally by analyzing 566 patients harboring prostate cancer diagnosed on MRI-targeted biopsy followed by radical prostatectomy. At final pathology, 37% and 12% patients had ECE and SVI, respectively. Performance of the nomogram, in comparison with the Memorial Sloan Kettering Cancer Center (MSKCC) model and Partin tables, was evaluated using discrimination, calibration, and decision curve analysis. Regarding ECE prediction, the nomogram showed higher discrimination (71.8% vs 69.8%, p = 0.3 and 71.8% vs 61.3%, p < 0.001), and similar miscalibration and net benefit for probability threshold above 30% when compared with MSKCC model and Partin tables, respectively. Performance of the nomogram with regard to SVI was comparable in terms of discrimination (68.5% vs 70.4% vs 67.8%, p ≥ 0.6), presenting a slight overestimation on calibration plots and a net benefit for probability threshold above 7.5%. This is the first multicentric study that externally validates a nomogram predicting ECE and SVI in patients diagnosed with MRI-targeted biopsy. Its performance was less optimistic than expected, and implementation of MRI in this setting was not associated with a clear improvement in patient selection and clinical usefulness when compared with available models. We proposed an updated version of the nomogram predicting ECE using the recalibration method, which leads to an improvement in its performance and needs to be validated in another external set. PATIENT SUMMARY: We validate a prediction tool based on multiparametric magnetic resonance imaging (MRI) parameters and MRI-targeted biopsy predicting extracapsular extension and seminal vesicle invasion at radical prostatectomy. An improvement of patient selection was not clearly demonstrated when compared with available models based on clinical parameters, and implementation of MRI in this setting still needs to be clarified.

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OBJECTIVE: To investigate the usefulness of magnetic resonance imaging (MRI) with Prostate Imaging Reporting and Data System version 2 (PI-RADSV2) and clinical parameters in predicting seminal vesicle invasion (SVI). MATERIAL AND METHODS: In this retrospective study, we identified 569 prostate cancer patients who underwent radical prostatectomy with MRI before surgery. SVI was interpreted with PI-RADSV2. Clinical parameters such as the prostate-specific antigen (PSA) and Gleason score (GS) were analyzed for the prediction of SVI. Logistic regression models and receiver operating characteristic (ROC) curves were used to evaluate SVI based on clinical parameters and MRI with PI-RADSV2. RESULTS: The median age at presentation was 67 years (43-85 years). The median PSA level was 6.1 ng/mL (2.2-72.8 ng/mL). There were 113 patients with a biopsy GS of ≥ 8. A total of 34 patients (6.0%) were interpreted to have SVI by MRI of which 20 were true positive, and 52 patients (9.1%) had true SVI in the final pathologic analysis. In multivariable analysis, PSA (HR: 1.03, 95% CI: 1.00-1.07), biopsy GS ≥ 8 (HR: 4.14, 95% CI: 2.12-8.09), and MRI with PI-RADSV2 (HR: 14.67, 95% CI: 6.34-33.93) were significantly associated with pathologic SVI. The area under the curve of the model based on the clinical parameters PSA and GS plus MRI (0.862) was significantly larger than that of the model based on clinical parameters alone (0.777, p < 0.001). CONCLUSIONS: MRI with PI-RADSV2 using the clinical parameters PSA and GS was effective in predicting SVI.

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OBJECTIVE: To develop novel models for predicting extracapsular extension (EPE), seminal vesicle invasion (SVI), or upgrading in prostate cancer (PCa) patients using clinical parameters, biparametric magnetic resonance imaging (bp-MRI), and transrectal ultrasonography (TRUS)-guided systematic biopsies. PATIENTS AND METHODS: We retrospectively collected data from PCa patients who underwent standard (12-core) systematic biopsy and radical prostatectomy. To develop predictive models, the following variables were included in multivariable logistic regression analyses: total prostate-specific antigen (TPSA), central transition zone volume (CTZV), prostate-specific antigen (PSAD), maximum diameter of the index lesion at bp-MRI, EPE at bp-MRI, SVI at bp-MRI, biopsy Gleason grade group, and number of positive biopsy cores. Three risk calculators were built based on the coefficients of the logit function. The area under the curve (AUC) was applied to determine the models with the highest discrimination. Decision curve analyses (DCAs) were performed to evaluate the net benefit of each risk calculator. RESULTS: A total of 222 patients were included in this study. Overall, 83 (37.4%), 75 (33.8%), and 107 (48.2%) patients had EPE, SVI, and upgrading at final pathology, respectively. The addition of bp-MRI data improved the discrimination of models for predicting SVI (0.807 vs 0.816) and upgrading (0.548 vs 0.625) but not EPE (0.766 vs 0.763). Similarly, models including clinical parameters, bp-MRI data, and information on systematic biopsies achieved the highest AUC in the prediction of EPE (0.842), SVI (0.913), and upgrading (0.794), and the three corresponding risk calculators yielded the highest net benefit. CONCLUSION: We developed three easy-to-use risk calculators for the prediction of adverse pathological features based on patient clinical parameters, bp-MRI data, and information on systematic biopsies. This may be greatly beneficial to urologists in the decision-making process for PCa patients.