Accurately distinguishing between cancerous and noncancerous tissues during robot-assisted radical prostatectomy (RARP) is a challenge that can increase the risk of residual disease. This study aimed to evaluate the safety, optimal dose and accuracy of a dual-modality prostate-specific membrane antigen (PSMA)-targeted probe (68Ga-P3) for preoperative positron emission tomography (PET)/computed tomography (CT) imaging and intraoperative fluorescence imaging in prostate cancer.

Each participant received an intravenous chemical dose of 68Ga-P3 (10, 20, and 40 μg/kg), with radioactivity of 3.7 MBq/kg. PET/CT imaging was conducted 30, 60, and 120 min after injection to evaluate its biodistribution and dosimetry. RARP was performed at 24 ± 6 h after injection, in the sensitive mode of Firefly fluorescence imaging.

Between May 2024 and July 2024, a total of 16 patients were included; 68Ga-P3 was well tolerated without any adverse events related to 68Ga-P3 administration or fluorescence imaging. At 2 h after administration, the median tumor maximum standardized uptake value was 5.3 (4.1-8.1). The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 68Ga-P3 PET/CT for tumor localization were 79.1%, 90.4%, 81.5%, and 89.0%, respectively. The overall NPV, PPV, and accuracy of intraoperative fluorescence imaging were 100%, 43.8%, and 90.9%, respectively. Of overall false-positive sites, 88.9% (8/9) were confirmed as tumor adjacent to the surgical margin. A dose of 40 μg/kg resulted in the highest accuracy of 92.3%.

In PSMA-targeted PET imaging and fluorescence-guided surgery, 68Ga-P3 is safe and feasible for use, offering a novel tool for the surgical management of prostate cancer.

Disposable plasmonic metasurfaces with high biosensing performance are urgently sought for clinical label-free detection. Low-cost aluminum (Al) and titanium nitride (TiN) offer promising alternatives to noble metals for constructing these metasurfaces. However, Al suffers from limited chemical stability, and TiN exhibits weak plasmonic effects, both of which hinder their application in meta-biosensing. Here we integrate their complementary advantages and propose the TiN/Al meta-biosensors. They not only empower the unique near-field enhancement for sensing by TiN/Al hybrid plasmonic modes, but also construct a robust TiN armor against external wear, heat, moisture and corrosion during the bio-detection process. Compared to traditional gold-based counterparts, our meta-biosensors offer superior optical sensitivity at a much lower cost and with fewer pretreatment steps. The excellent biosensing performance facilitates the development of a high-throughput detection system for serum small extracellular vesicles (sEVs), aiding in the diagnosis and follow-up of prostate cancer. The sEVs meta-biosensing demonstrates a diagnostic sensitivity of 100% for significantly distinguishing early cancer, breaking through the conventional testing limitation. Moreover, it doubles the prediction accuracy of cancer recurrence risk following surgery. Our research highlights the potential for large-scale development of powerful meta-biosensors based on non-noble materials, opening up significant opportunities in cancer diagnosis and prognosis.

To evaluate the impact of a positive surgical margin (PSM) in relation to the risk of biochemical recurrence (BCR) and additional treatment in different preoperative Cancer of the Prostate Risk Assessment (CAPRA) risk groups after robot-assisted radical prostatectomy (RARP).

Retrospective cohort study of 1039 patients subjected to RARP for prostate cancer at a single European institution. PSM was stratified by extent (focal extensive). The CAPRA score was used for risk group stratification. BCR was defined as a prostate-specific antigen level >0.2 ng/mL. Additional treatment was defined as salvage radiotherapy (sRT) and/or androgen-deprivation therapy (ADT).

In total 227 patients had a PSM (21.8%). When compared to a negative surgical margin, an extensive PSM was associated with an increased risk of BCR (hazard ratio [HR] 2.16, 95% confidence interval [CI] 2.09-8.29; HR 3.76, 95% CI 2.33-6.06; HR 2.35, 95% CI 1.03-5.38) and sRT (HR 3.75, 95% CI 1.45-9.7; HR 4.57, 95% CI 2.47-8.43; HR 9.32, 95% CI 1.06-14.82) in the low-, intermediate- and high-risk groups, respectively. In high-risk patients a focal PSM was associated with an increased risk of BCR (HR 5.79, 95% CI 1.62-20.65), sRT (HR 9.32, 95% CI 1.7-50.95) and ADT (HR 4.11, 95% CI 1.08-15.57) whereas in low- and intermediate-risk patients a modest effect on BCR but no significant effect on sRT or ADT was found. We found no significant interaction between CAPRA risk group and PSM (P = 0.25).

While an extensive PSM was associated with an increased risk of recurrence in all risk groups, a focal PSM was associated with additional treatment only among men with high-risk tumours.

Emerging imaging-guided technologies, such as prostate-specific membrane antigen radioguided surgery (PSMA-RGS) and augmented reality (AR), could enhance the precision and efficacy of robot-assisted prostate cancer (PCa) surgical approaches, maximizing the surgeons' ability to remove all cancer sites and thus patients' outcomes. Sentinel node biopsy (SNB) represents an imaging-guided technique that could enhance nodal staging accuracy by leveraging lymphatic mapping with tracers. PSMA-RGS uses radiolabeled tracers with the aim to improve intraoperative lymph node metastases (LNMs) detection. Several studies demonstrated its feasibility and safety, with promising accuracy in nodal staging during robot-assisted radical prostatectomy (RARP) and in recurrence setting during salvage lymph node dissection (sLND) in patients who experience biochemical recurrence (BCR) after primary treatment and have positive PSMA positron emission tomography (PET). Near-infrared PSMA tracers, such as OTL78 and IS-002, have shown potential in intraoperative fluorescence-guided surgery, improving positive surgical margins (PSMs) and LNMs identification. Finally, augmented reality (AR), which integrates preoperative imaging (e.g., multiparametric magnetic resonance imaging [mpMRI] of the prostate and computed tomography [CT]) onto the surgical field, can provide a real-time visualization of anatomical structures through the creation of three-dimensional (3D) models. These technologies may assist surgeons during intraoperative procedures, thus optimizing the balance between oncological control and functional outcomes. However, challenges remain in standardizing these tools and assessing their impact on long-term PCa control. Overall, these advancements represent a paradigm shift toward personalized and precise surgical approaches, emphasizing the integration of innovative strategies to improve outcomes of PCa patients.

This study investigates the risk factors associated with rectal positive surgical margins (RPSM) following radical prostatectomy and aims to develop a predictive model.

Clinical data from 198 patients undergoing radical prostatectomy at the Department of Urology, Kunshan Hospital of Traditional Chinese Medicine from June 2022 to June 2024 were analyzed. Patients were categorized into groups with and without RPSM. Univariate and multivariate logistic regression analyses identified independent predictors of RPSM. Utilizing R software, we generated a column chart illustrating prostate cancer's RPSM incidence and constructed ROC curves with the area under the curve (AUC) to assess the discriminative performance and calibration of our model.

Multivariate logistic regression identified clinical stage, PSA level, Gleason score, bilateral prostate infiltration, and PI-RADS as significant predictors of RPSM (all P < 0.05). Using these predictors, we developed a nomogram that achieved a C-index of 0.833(95% CI: 0.785-0.887) and an AUC of 0.755 (95% CI: 0.645-0.866).

The predictive model effectively forecasts the likelihood of RPSM following radical prostatectomy, offering valuable insights for personalized patient management.

Detection of positive resection margins in surgical procedures of high-risk prostate cancer is key for minimizing the risk of recurrence. This study aimed at evaluating the accuracy of functional tumor-volume segmentation in intraoperative ex vivo PET/CT for margin assessment in prostate cancer patients undergoing radical prostatectomy. Methods: Seven high-risk prostate cancer patients received [18F]PSMA-1007 before radical prostatectomy. After removal of the prostate gland, ex vivo imaging on the AURA 10 PET/CT system was performed, and functional tumor volume was segmented using 4 semiautomatic segmentation methods. Resection margins and volumes were compared with histopathology. Additionally, a supportive phantom study was conducted to assess segmentation accuracy at low radiopharmaceutical activity. Results: Clinically, 18 lesions were analyzed in intraoperative PET/CT. Sensitivity, specificity, and positive and negative predictive values of margin detection were 83%, 100%, 100%, and 92%, respectively, using an iterative thresholding method. In 1 patient, a biochemical recurrence was observed within 1 y of prostate-specific antigen follow-up, and 1 patient underwent adjuvant radiotherapy. The remaining 5 patients were still undergoing prostate-specific antigen follow-up with no evidence of biochemical recurrence. On the basis of a phantom-deduced minimal segmentable activity concentration of approximately 2 kBq/mL, we propose an administered [18F]PSMA-1007 activity of at least 1.9 and 0.4 MBq/kg for preoperative and intraoperative injections, respectively. Conclusion: Intraoperative ex vivo PET/CT is a promising modality for intraoperative margin assessment. Prospective trials are needed to further investigate the value of specimen PET/CT-based radioguided surgery in high-risk prostate cancer.

Surgical planning in robotic assisted radical prostatectomy (RARP) recommends the maximal use of function persevering techniques without compromising oncological outcomes. There is no consensus on how to define the optimal surgical approach. This review aims to collate available evidence on the impact of preoperative planning interventions on the trifecta of oncological, functional or operative outcomes.

A systematic review according to the PRISMA guidelines was performed using the terms ((prostatectomy) AND (robot*)) AND (plan*) OR (image*) OR (decision*) for articles published between January 2000 and January 2024. Prospective studies reporting patients undergoing RARP with a preoperative planning intervention, compared to no planning, to determine at least one of trifecta outcome were included. Results were synthesized in a narrative review with a metanalysis when two or more studies reported the same outcomes.

Eight studies, one RCT and seven non-randomised prospective comparative studies, including 1945 patients, applying clinical nomograms, MRI and histology review were included. The outcomes reported were positive surgical margins (PSM) (oncological) and nerves sparing rates (functional). No operative outcomes were reported. Metanalysis demonstrated that positive surgical margins (PSM) were reduced in both clinical nomogram (RR=0.56, 95% CI: 0.37-0.87, P=0.009; two studies 563 patients) and MRI (RR=0.72, 95% CI: 0.54-0.96, P=0.02; three studies, 801 patients) intervention groups. Additionally, metanalysis of all nerve-sparing cases demonstrated lower PSM rates in the intervention group (RR=0.65, 95% CI: 0.47-0.90, P=0.01; three studies, 823 patients). No significant changes were seen in nerve-sparing rates.

Preoperative surgical planning with nomograms and MRI has the potential to improve PSM rates without compromising nerve sparing. It is not possible to identify the optimal approach, but it is likely that the incorporation of biopsy and MRI information will lead to the best outcomes. Further studies using universally accepted standards of the trifecta outcomes are needed.

Positive surgical margins (PSMs) following radical prostatectomy (RP) have been seen as inherently unfavorable. However, a large international multi-institutional study recently revealed that unifocal PSMs (UPSMs) had no impact on prostate cancer-specific mortality (PCSM), whereas multifocal PSMs (MPSMs) did. Our aim was to assess the relative impact of PSMs versus percentage tumor volume (PTV) on PCSM.

We analyzed data for 1552 patients who underwent robot-assisted RP performed by a single surgeon between 2002 and 2018 at a tertiary referral center with up to 15-yr follow-up. Patients were divided into negative surgical margin (NSM), UPSM, and MPSM groups, with PTV stratification using a cutoff of 40%. The primary outcome was stepwise multivariate regression analysis of predictors of PCSM (pT stage, pathological Gleason grade group, PTV, UPSM, and MPSM). The secondary outcome was the risk of 15-yr PCSM via Kaplan-Meier analysis.

The group with 40-100% PTV was older and presented with more advanced grade and stage. High PTV was significantly associated with greater risk of PSM, biochemical recurrence, PCSM, and overall mortality at 15 yr (p < 0.001). In addition to high stage and grade, MPSM predicted PCSM in multivariate analysis, but lost predictive significance when PTV was included. Limitations of the study include the retrospective nature and the single-center setting.

Our study further challenges the belief that MPSMs inherently have an adverse impact on PCSM. Instead, MPSMs appear to signify more aggressive underlying disease that predominantly drives oncological outcomes. We recommend considering PTV as a more reliable predictor of PCSM. While avoidance of PSMs remains a critical surgical principle, this goal in prostate cancer needs to be weighed against urinary and sexual function outcomes.

After surgery to remove the prostate in men with prostate cancer, samples from the edge of the prostate that are positive for tumor cells are called positive surgical margins (PSMs). Results from our study show that a PSM on its own is not necessarily an adverse factor. However, PSMs may be a sign of higher severity of prostate cancer. We found that men with a high tumor volume have a higher risk of dying from their prostate cancer.

Background and Objectives: Prostate cancer is one of the most commonly diagnosed cancers in the male population and the fifth leading cause of cancer death worldwide in men as of 2022. One of the potential biomarkers that can predict the progression of the disease is the transmembrane adhesion molecule CD44s. The aims of this study were to determine the expression of CD44s in prostate cancer in the central tumor mass and in the tumor periphery of the disease and to compare it with the clinicopathological parameters (PSA, Gleason score, surgical margins, and biochemical recurrence of the disease) in patients treated with radical prostatectomy. Materials and Methods: The research was randomized retrospectively during the period from 2001 to 2006. Tissue microarrays of 121 archival acinar prostate carcinoma samples were immunohistochemically evaluated for CD44s expression. The immunoexpression was determined semiquantitatively, taking into account the percentage (0 (0-5%), 1 (6-24%), 2 (26-75%), and 3 (76-100%) and intensity of the membranous staining of the tumor cells (0 absent; 1 weak at 400×; 2 intermediates at 100×; 3 strong at 40×) and calculated to obtain a final score (0-3 were regarded as negative; 4-6 were regarded as positive). Results: For statistical purposes, we divided the tumors into two categories: Gleason grade group 1 makes up 80.7% and grade group 2, which includes all the remaining Gleason grade groups (out of 2-5), accounts for 19.3% of the tumors. Grade group 1 had the highest incidence of score 4 (positive expression). There were statistically significantly more positive expressions in those tumors with negative prostatectomy margins (chi square: p = 0.001; Cramer V: 0.319). There was no correlation between CD44s expression and biochemical recurrence (p = 0.218), nor with the preoperative PSA values (p = 0.165). In the grade group 1 tumors, the CD44s immunoexpression and status of prostatectomy margin were statistically significantly related with negative margins (p = 0.028). An analysis of the expression of CD44s according to the localization in the central part of the tumor mass and on the periphery of the cancer in the group of tumors with a positive margin did not show a significant correlation because the sample was too small. Descriptively, it can be noted that the expression on the periphery was higher, and the central/peripheral expression ratio was higher in favor of the periphery. Conclusions: Our results provide insight into the possible value of CD44s expression for predicting the behavior of prostate tumors and the justification of therapy after a prostatectomy. Also hypothetically, they indicate a protective role of CD44s in a group of well-differentiated tumors at the periphery of the tumor mass. Therefore, it is useful to study the CD44s molecule further in this sense.

To investigate the surgical margin status in patients with prostate cancer who underwent robot-assisted radical prostatectomy (RARP) with intraoperative neurovascular structure-adjacent frozen-section analysis (NeuroSAFE) and evaluate differences compared to patients who underwent radical prostatectomy without NeuroSAFE.

Between September 2018 and January 2021, 962 patients underwent centralized RARP with NeuroSAFE. A secondary resection was performed in case of a positive surgical margin (PSM) on intraoperative frozen section (IFS) analysis to convert a PSM into a negative surgical margin (NSM). A retrospective cohort consisted of 835 patients who had undergone radical prostatectomy in a tertiary centre without NeuroSAFE between January 2000 and December 2017. We performed multivariable logistic regression to evaluate differences in risk of PSM between cohorts after controlling for clinicopathological variables.

Patients operated with NeuroSAFE in the centralized clinic had 29% PSM at a definitive pathological RP examination. The median cumulative length of definitive PSM was 1.1 mm (interquartile range: 0.4-3.8). Among 275 men with PSM, 136 (49%) had a cumulative length ≤1 mm and 198 (72%) ≤3 mm. After controlling for PSA, Grade group, cribriform pattern, pT-stage, and pN-stage, patients treated in the centralized clinic with NeuroSAFE had significantly lower odds on PSM (odds ratio [OR]: 0.70, 95% confidence interval [CI]: 0.56-0.88; P = 0.002), PSM length >1 mm (OR: 0.14, 95% CI: 0.09-0.22; P < 0.001), and >3 mm (OR: 0.21, 95% CI: 0.14-0.30; P < 0.001).

This study provides a detailed overview of surgical margin status in a centralized RP NeuroSAFE cohort. Centralization with NeuroSAFE was associated with lower PSM rates and significantly shorter PSM cumulative lengths, indicating improved control of surgical margin status.

Background: The Hugo™ Robotic-Assisted Surgery (Hugo™ RAS) system represents a novel advancement in robotic surgical technology. Despite this, there remains a scarcity of data regarding extraperitoneal robot-assisted radical prostatectomy (eRARP) using this system. Methods: We conducted a prospective study at Ospedale Regionale "F. Miulli" from June 2023 to January 2024, enrolling consecutive patients diagnosed with prostate cancer (PCa) undergoing eRARP ± lymph node dissection. All procedures employed a modular four-arm setup performed by two young surgeons with limited prior robotic surgery experience. This study aims to evaluate the safety and feasibility of eRARP using the Hugo™ RAS system, reporting comprehensive preoperative, intraoperative, and postoperative outcomes in the largest reported cohort to date. Results: A total of 50 cases were analyzed, with a mean patient age of 65.76 (±5.57) years. The median operative time was 275 min (Q1-Q3 150-345), and the console time was 240 min (Q1-Q3 150-300). The docking time averaged 10 min (Q1-Q3 6-20). There were no intraoperative complications recorded. Two major complications occurred within the first 90 days. At the 3-month mark, 36 patients (72%) achieved undetectable PSA levels (<0.1 ng/mL). Social continence was achieved by 66% of patients, while 40% maintained erectile function. Conclusions: eRARP utilizing the Hugo™ RAS system demonstrated effectiveness and safety in our study cohort. However, more extensive studies with larger cohorts and longer follow-up periods are necessary to thoroughly evaluate long-term outcomes.

We reviewed our institutional experience of radical prostatectomy with and without preoperative multiparametric magnetic resonance imaging (mpMRI) to assess the impact of preoperative prostate mpMRI on surgical outcomes of radical prostatectomy.

We identified patients at our institution who underwent radical prostatectomy for prostate cancer (PCa) between January 2012 and December 2017 (n = 1044). Using propensity scoring analysis, patients who underwent preoperative mpMRI (n = 285) were matched 1:1 to patients who did not receive preoperative mpMRI (n = 285). Multivariable regression analysis was performed to identify factors predictive of operative time, estimated blood loss (EBL), lymph node yield, rates of complications within 30 days, and positive surgical margin (PSM).

There were no significant differences in operative time, EBL, PSM, lymph node yield, or complication rates between the two cohorts. Multivariable analysis demonstrated that preoperative mpMRI was not predictive of the measured perioperative outcomes. Significant comorbidity (Charlson Comorbidity Index ≥3) was the sole predictor of perioperative complications (P = 0.015). Increasing biopsy Gleason score predicted increased lymph node yield (P < 0.001). The probability of PSM was associated with increasing preoperative prostate-specific antigen (odds ratio 1.036, P = 0.009). Body mass index was a predictor of operative time (P = 0.016) and EBL (P = 0.001).

Although preoperative mpMRI has an important role in the diagnosis and staging of PCa, it does not impact perioperative radical prostatectomy outcomes. Our findings do not support the routine use of preoperative mpMRI for surgical planning in patients already diagnosed with clinically localized PCa.

Background: We detail our approach and experience with a hybrid version of the endopelvic hood-sparing (HS) robot-assisted radical prostatectomy (RARP) using the da Vinci robotic platform. Materials and Methods: We retrospectively reviewed the records of 200 patients who underwent RARP by a single surgeon. Patients were propensity-matched into three cohorts depending on biopsy and prostatectomy Gleason Grade Groups: traditional retropubic (RP) (n = 80), retzius-sparing (RS) (n = 40), and HS (n = 80). Patient characteristics and oncologic and functional outcomes were examined. Zero pads per day defined return of continence. Erections suitable for penetrative intercourse with/without medications defined return of sexual function. Results: Patient characteristics were similar between cohorts excluding prostate-specific antigen levels (p = 0.014), which were significantly lower in the RS cohort (7.1 ± 5.3 ng/mL) compared with RP (9.2 ± 9.3 ng/mL) and HS (8.8 ± 8.9 ng/mL). Clinically significant positive margin rates were significantly higher (p = 0.046) in the RS cohort (32.5%) compared with RP (17.5%) and HS (13.9%). Biochemical recurrence and metastasis rates were similar between all cohorts. Median time to continence was significantly lower for RS and HS-RARP (p < 0.001) compared with RP-RARP at 1.3, 1.6, and 5.4 months, respectively. Median time to return of sexual function was significantly lower for RS and HS-RARP (p < 0.001) compared with RP-RARP at 4.0, 7.7, and 15.1 months, respectively. Conclusions: Our hybrid HS-RARP approach provides functional outcomes similar to RS-RARP with the early oncologic control of traditional RP-RARP.

Accurate prediction of extraprostatic extension (EPE) is pivotal for surgical planning. Herein, we aimed to provide an updated model for predicting EPE among patients diagnosed with MRI-targeted biopsy.

We analyzed a multi-institutional dataset of men with clinically localized prostate cancer diagnosed by MRI-targeted biopsy and subsequently underwent prostatectomy. To develop a side-specific predictive model, we considered the prostatic lobes separately. A multivariable logistic regression analysis was fitted to predict side-specific EPE. The decision curve analysis was used to evaluate the net clinical benefit. Finally, a regression tree was employed to identify three risk categories to assist urologists in selecting candidates for nerve-sparing, incremental nerve sparing and non-nerve-sparing surgery.

Overall, data from 3169 hemi-prostates were considered, after the exclusion of prostatic lobes with no biopsy-documented tumor. EPE was present on final pathology in 1,094 (34%) cases. Among these, MRI was able to predict EPE correctly in 568 (52%) cases. A model including PSA, maximum diameter of the index lesion, presence of EPE on MRI, highest ISUP grade in the ipsilateral hemi-prostate, and percentage of positive cores in the ipsilateral hemi-prostate achieved an AUC of 81% after internal validation. Overall, 566, 577, and 2,026 observations fell in the low-, intermediate- and high-risk groups for EPE, as identified by the regression tree. The EPE rate across the groups was: 5.1%, 14.9%, and 48% for the low-, intermediate- and high-risk group, respectively.

In this study we present an update of the first side-specific MRI-based nomogram for the prediction of extraprostatic extension together with updated risk categories to help clinicians in deciding on the best approach to nerve-preservation.

A positive surgical margin (PSM) occurs in up to 32% of patients undergoing robot-assisted radical prostatectomy (RARP). Diffuse reflectance spectroscopy (DRS), which measures tissue composition according to its optical properties, can potentially be used for real-time PSM detection during RARP. Our objective was to assess the feasibility of DRS in distinguishing prostate cancer from benign tissue in RARP specimens.

In a single-center prospective study, DRS measurements were taken ex vivo for RARP specimens from 59 patients with biopsy-proven prostate carcinoma. Discriminating features from the DRS spectra were used to create a machine learning-based classification algorithm. The data were split patient-wise into training (70%) and testing (30%) sets, with ten iterations to ensure algorithm robustness. The average sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve (AUC) from ten classification iterations were calculated.

We collected 542 DRS measurements, of which 53% were tumor and 47% were healthy-tissue measurements. Twenty discriminating features from the DRS spectra were used as the input for a support vector machine model. This model achieved average sensitivity of 89%, specificity of 82%, accuracy of 85%, and AUC of 0.91 for the test set. Limitations include the binary label input for classification.

DRS can potentially discriminate prostate cancer from benign tissue. Before implementing the technique in clinical practice, further research is needed to assess its performance on heterogeneous tissue volumes and measurements from the prostate surface.

We looked at the ability of a technique called diffuse reflectance spectroscopy to guide surgeons in discriminating prostate cancer tissue from benign prostate tissue in real time during prostate cancer surgery. Our study showed promising results in an experimental setting. Future research will focus on bringing this technique to clinical practice.

To develop preoperative nomograms using risk factors based on clinicopathological and MRI for predicting the risk of positive surgical margin (PSM) after radical prostatectomy (RP).

This study retrospectively enrolled patients who underwent prostate MRI before RP at our center between January 2015 and November 2022. Preoperative clinicopathological factors and MRI-based features were recorded for analysis. The presence of PSM (overall PSM [oPSM]) at pathology and the multifocality of PSM (mPSM) were evaluated. LASSO regression was employed for variable selection. For the final model construction, logistic regression was applied combined with the bootstrap method for internal verification. The risk probability of individual patients was visualized using a nomogram.

In all, 259 patients were included in this study, and 76 (29.3%) patients had PSM, including 40 patients with mPSM. Final multivariate logistic regression revealed that the independent risk factors for oPSM were tumor diameter, frank extraprostatic extension, and annual surgery volume (all p < 0.05), and the nomogram for oPSM reached an area under the curve (AUC) of 0.717 in development and 0.716 in internal verification. The independent risk factors for mPSM included the percentage of positive cores, tumor diameter, apex depth, and annual surgery volume (all p < 0.05), and the AUC of the nomogram for mPSM was 0.790 in both development and internal verification. The calibration curve analysis showed that these nomograms were well-calibrated for both oPSM and mPSM.

The proposed nomograms showed good performance and were feasible in predicting oPSM and mPSM, which might facilitate more individualized management of prostate cancer patients who are candidates for surgery.

The learning curve for robot-assisted radical prostatectomy (RARP) remains controversial, with prior studies showing that, in contrast with evidence on open and laparoscopic radical prostatectomy, biochemical recurrence rates of experienced versus inexperienced surgeons did not differ.

To characterize the learning curve for positive surgical margins (PSMs) after RARP.

We analyzed the data of 13 090 patients with prostate cancer undergoing RARP by one of 74 surgeons from ten institutions in Europe and North America between 2003 and 2022.

Multivariable models were used to assess the association between surgeon experience at the time of each patient's operation and PSMs after surgery, with adjustment for preoperative prostate-specific antigen level, grade, stage, and year of surgery. Surgeon experience was coded as the number of robotic radical prostatectomies done by the surgeon before the index patient's operation.

Overall, 2838 (22%) men had PSMs on final pathology. After adjusting for case mix, we found a significant, nonlinear association between surgical experience and probability of PSMs after surgery, with a lower risk of PSMs for greater surgeon experience (p < 0.0001). The probabilities of PSMs for a patient treated by a surgeon with ten, 250, 500, and 2000 prior robotic procedures were 26%, 21%, 18%, and 14%, respectively (absolute risk difference between ten and 2000 procedures: 11%; 95% confidence interval: 9%, 14%). Similar results were found after stratifying patients according to extracapsular extension at final pathology. Results were also unaltered after excluding surgeons who had moved between institutions.

While we characterized the learning curve for PSMs after RARP, the relative contribution of surgical learning to the achievement of optimal outcomes remains controversial. Future investigations should focus on what experienced surgeons do to avoid positive margins and should explore the relationship between learning, margin rate, and biochemical recurrence. Understanding what margins affect recurrence and whether these margins are trainable or a result of other factors may shed light on where to focus future efforts in surgical education.

In patients receiving robotic radical prostatectomy for prostate cancer, we characterized the learning curve for positive margins. The risk of surgical margins decreased progressively with increasing experience, and plateaued around the 500th procedure. Understanding what margins affect recurrence and whether these margins are trainable or a result of other factors has implications for surgeons and patients, and it may shed light on where to focus future efforts in surgical education.

Positive surgical margins (PSMs) are frequent in patients undergoing radical prostatectomy (RP). The impact of PSMs on cancer-specific (CSM) and overall (OM) mortality has not yet been proved definitively.

To evaluate whether the presence and the features of PSMs were associated with CSM and OM in patients who underwent robotic-assisted RP.

A cohort of 8141 patients underwent robotic-assisted RP with >10 yr of follow-up.

Cox multivariable analyses assessed the impact of margin status (positive vs negative) and PSM features (negative vs <3 mm vs >3 mm vs multifocal) on the risk of CSM, OM, and biochemical recurrence (BCR) after adjusting for potential confounders. We repeated our analyses after stratifying patients according to clinical (Cancer of the Prostate Risk Assessment [CAPRA] categories) and pathological characteristics (adverse: pT 3-4 and/or grade group [GG] 4-5 and/or pN1 and/or prostate-specific antigen [PSA] persistence).

PSMs were found in 1348 patients (16%). Among these, 48 (3.6%) patients had multifocal PSMs. Overall, 1550 men experienced BCR and 898 men died, including 130 for prostate cancer. At Cox multivariable analyses, PSMs were associated with CSM in patients with adverse clinical (Intermediate risk: hazard ratio [HR]: 1.71, p = 0.048; high risk: HR: 2.20, p = 0.009) and pathological (HR: 1.79, p = 0.005) characteristics. Only multifocal PSMs were associated with CSM and OM in the whole population (HR for CSM: 4.68, p < 0.001; HR for OM: 1.82, p = 0.037) and in patients with adverse clinical (intermediate risk: HR for CSM: 7.26, p = 0.006; high risk: HR for CSM: 9.26, p < 0.001; HR for OM: 2.97, p = 0.006) and pathological (HR for CSM: 9.50, p < 0.001; HR for OM: 2.59, p = 0.001) characteristics. Potential limitations include a selection bias and a lack of information on the Gleason score at PSM location.

We did not find an association between unifocal PSMs and mortality. Conversely, our results underscore the importance of avoiding multifocal PSMs in patients with adverse clinical (intermediate- and high-risk CAPRA score) and pathological (GG ≥4, pT ≥3, pN1, or PSA persistence) characteristics, to enhance overall survival and reduce CSM.

In this study, we evaluated whether the presence and the characteristics of positive surgical margins were associated with mortality in patients who underwent robotic-assisted radical prostatectomy. We found that the presence of positive surgical margins, particularly multifocal margins, was associated with mortality only in patients with adverse clinical and pathological characteristics.

Robotic-assisted surgery is the gold standard for performing radical prostatectomy (RARP), with new robotic devices such as HugoTM RAS gaining prominence worldwide.

We report the surgical, perioperative, and early postoperative outcomes of RARP using HugoTM RAS.

Between April 2022 and October 2023, we performed 132 procedures using the Montsouris technique with a four-robotic-arm configuration in patients with biopsy-proven prostate cancer (PCa).

We collected intraoperative and perioperative data during hospitalization, along with follow-up data at predefined postoperative intervals of 3 and 6 months.

Lymphadenectomy was performed in 25 procedures, with a bilateral nerve-sparing technique in 33 and a monolateral nerve-sparing technique in 33 cases. The mean total surgery time was 242 (±57) min, the mean console time was 124 (±48) min, and the mean docking time was 10 (±2) min. We identified 17 system errors related to robotic arm failures, 9 robotic instrument breakdowns, and 8 significant conflicts between robotic arms. One post-operative complication was classified as Clavien-Dindo 3b. None of the adverse events, whether singular or combined, increased the operative time. Positive margins (pR1) were found in 54 (40.9%) histological specimens, 37 (28.0%) of which were clinically significant. At 3 and 6 months post-surgery, the PSA levels were undetectable in 94.6% and 92.1% of patients, respectively. Social urinary continence was regained in 86% after 6 months. Limitations of our study include its observational monocentric case-series design and the short follow-up data for functional and oncological outcomes.

Our initial experience highlights the reliability of the HugoTM RAS system in performing RARP. Additionally, we also list problems and solutions found in our daily work.

The prognostic capacity of positive surgical margins (PSM) for biochemical recurrence (BCR) is unclear, with inconsistent findings across published studies. We aimed to systematically review and perform a meta-analysis exploring the impact of Positive surgical margin length on biochemical recurrence in men after radical prostatectomy.

A search was conducted using the MEDLINE, Scopus, Embase and Cochrane databases according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. The quality of the studies was assessed using the Newcastle-Ottawa scale, and the protocol was registered in advance (PROSPERO: CRD42020195908). This meta-analysis included 16 studies with BCR as the primary outcome measure.

Studies used various dichotomised thresholds for PSM length. A subgroup meta-analysis was performed using the reported multivariable hazard ratio (Continuous, 3, and 1 mm PSM length). PSM length (continuous) was independently associated with an increased risk of BCR (7 studies, HR 1.04 (CI 1.02-1.05), I2 = 8% p < 0.05). PSM length greater than 3 mm conferred a higher risk of BCR compared to less than 3 mm (4 studies, HR 1.99 (1.54-2.58) I2 = 0%, p < 0.05). There was also an increased risk of BCR associated with PSM length of less than 1 mm compared to negative surgical margins (3 studies, HR 1.46 (1.05-2.04), I2 = 0%, P = 0.02).

PSM length is independently prognostic for BCR after radical prostatectomy. Further long-term studies are needed to estimate the impact on systemic progression.

To assess the effect of preoperative MRI with standardized Prostate Imaging-Reporting and Data System (PI-RADS) assessment on pathological outcomes in prostate cancer (PCa) patients who underwent radical prostatectomy (RP).

This retrospective cohort study included patients who had undergone prostate MRI and subsequent RP for PCa between January 2017 and December 2022. The patients were divided into the PI-RADS group and the non-PI-RADS group according to evaluation scheme of presurgery MRI. The preoperative characteristics and postoperative outcomes were retrieved and analyzed. The pathological outcomes included pathological T stage (pT2 vs. pT3-4) and positive surgical margins (PSMs). Patients were further stratified according to statistically significant preoperative variables to assess the difference in pathological outcomes. A propensity score matching based on the above preoperative characteristics was additionally performed.

A total of 380 patients were included in this study, with 201 patients in the PI-RADS group and 179 in the non-PI-RADS group. The two groups had similar preoperative characteristics, except for clinical T stage (cT). As for pathological outcomes, the PI-RADS group showed a significantly lower percentage of pT3-4 (21.4% vs. 48.0%, p < 0.001), a lower percentage of PSMs (31.3% vs. 40.9%, p = 0.055), and a higher concordance between the cT and pT (79.1% vs. 64.8%, p = 0.003). The PI-RADS group also showed a lower proportion of pT3-4 (p < 0.001) in the cT1-2 subgroup and the cohort after propensity score matching. The PSM rate of cT3 patients was reduced by 39.2% in the PI-RADS group but without statistical significance (p = 0.089).

Preoperative MRI with standardized PI-RADS assessment could benefit the decision-making of patients by reducing the rate of pathologically confirmed non-organ-confined PCa after RP and slightly reducing the PSM rate compared with non-PI-RADS assessment.

Risk of biochemical recurrence (BCR) in localised prostate cancer can be stratified using the 5-tier Cambridge Prognostic Group (CPG) or 3-tier European Association of Urology (EAU) model. Active surveillance is the current recommendation if CPG1 or EAU low-risk criteria are met. We aimed to determine the contemporary rates of upgrading, upstaging and BCR after radical prostatectomy for CPG1 or EAU low-risk disease.

A database of all robotic-assisted laparoscopic prostatectomies (RALPs) performed in Glasgow between 12/2015 and 05/2022 was analysed. Rates of upgrading, upstaging and BCR post-RALP for CPG1 or EAU low-risk disease were defined. Univariate and multivariate analysis were performed to assess the relationship between patient factors and outcomes.

A total of 1223 RALP cases were identified. A total of 12.6% met CPG1 criteria with 70.1% and 25.3% upgraded and upstaged to extraprostatic disease post-operatively respectively. A total of 5.8% met EAU low-risk criteria with 60.6% upgraded and 25.4% upstaged to extraprostatic disease post-operatively respectively. CPG1 (p < 0.0001) and EAU low-risk (p = 0.02) patients were at a significantly higher risk of BCR if upstaged.

Many patients who met CPG1 or EAU low-risk criteria were upgraded post-RALP and approximately 25% were upstaged due to extraprostatic disease. Upstaging puts patients at a significantly higher risk of BCR.

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.

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.

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.

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.

The International Society of Urological Pathology (ISUP) grade and positive surgical margins (PSMs) after radical prostatectomy (RP) may reflect the prognosis of prostate cancer (PCa) patients. This study aimed to investigate whether DCE-MRI parameters (i.e., Ktrans, kep, and IAUC) could predict ISUP grade and PSMs after RP.

Forty-five PCa patients underwent preoperative DCE-MRI. The clinical characteristics and DCE-MRI parameters of the 45 patients were compared between the low- and high-risk (i.e., ISUP grades III-V) groups and between patients with or without PSMs after RP. Multivariate logistic regression analysis was used to identify the significant predictors of placement in the high-risk group and PSMs.

The DCE parameter Ktrans-max was significantly higher in the high-risk group than in the low-risk group (p = 0.028) and was also a significant predictor of placement in the high-risk group (odds ratio [OR] = 1.032, 95% confidence interval [CI] = 1.005-1.060, p = 0.021). Patients with PSMs had significantly higher prostate-specific antigen (PSA) titers, positive biopsy core percentages, Ktrans-max, kep-median, and kep-max than others (all p < 0.05). Of these, positive biopsy core percentage (OR = 1.035, 95% CI = 1.003-1.068, p = 0.032) and kep-max (OR = 1.078, 95% CI = 1.012-1.148, p = 0.020) were significant predictors of PSMs.

Preoperative DCE-MRI parameters, specifically Ktrans-max and kep-max, could potentially serve as preoperative imaging biomarkers for postoperative PCa prognosis based on their predictability of PCa risk group and PSM on RP, respectively.

In this prospective two-center feasibility study, we evaluate the diagnostic value of intraoperative ex vivo specimenPET/CT imaging of radical prostatectomy (RP) and lymphadenectomy specimens. Ten patients with high-risk prostate cancer underwent clinical prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) preoperatively on the day of surgery. Six patients received ⁶⁸Ga-PSMA-11 and four ¹⁸F-PSMA-1007. Radioactivity of the resected specimen was measured again using a novel specimenPET/CT device (AURA10; XEOS Medical, Gent, Belgium) developed for intraoperative margin assessment. All index lesions of staging multiparametric magnetic resonance imaging could be visualized. Overall, specimenPET/CT correlated well with conventional PET/CT regarding detection of suspicious tracer foci (Pearson coefficient 0.935). In addition, specimenPET/CT demonstrated all lymph node metastases detected on conventional PET/CT (n = 3), as well as three previously undetected lymph node metastases. Importantly, all positive or close (<1 mm) surgical margins could be visualized in agreement with histopathology. In conclusion, specimenPET/CT enables detection of PSMA-avid lesions and warrants further investigation to tailor RP, based on a good correlation with final pathology. Future trials will prospectively compare ex vivo specimenPET/CT with a frozen section analysis for the detection of positive surgical margins and assessment of biochemical recurrence-free survival.

In this report, we examined prostatectomy and lymphadenectomy specimens for suspicious positron emission tomography (PET) signals after preoperative tracer injection. It was found that in all cases, a good signal could be visualized, with a promising correlation of surface assessment compared with histopathology. We conclude that specimenPET imaging is feasible and may help improve oncological outcomes in the future.

Targeted real-time imaging during robot-assisted radical prostatectomy provides information on the localisation and extent of prostate cancer. We assessed the safety and feasibility of the prostate-specific membrane antigen (PSMA)-targeted fluorescent tracer OTL78 in patients with prostate cancer.

In this single-arm, phase 2a, feasibility trial with an adaptive design was carried out in The Netherlands Cancer Institute, Netherlands. Male patients aged 18 years or older, with PSMA PET-avid prostate cancer with an International Society of Urological Pathology (ISUP) grade group of 2 or more, who were scheduled to undergo robot-assisted radical prostatectomy with or without extended pelvic lymph node dissection were eligible. All patients had a robot-assisted radical prostatectomy using OTL78. Based on timing and dose, patients received a single intravenous infusion of OTL78 (0·06 mg/kg 1-2 h before surgery [dose cohort 1], 0·03 mg/kg 1-2 h before surgery [dose cohort 2], or 0·03 mg/kg 24 h before surgery [dose cohort 3]). The primary outcomes, assessed in all enrolled patients, were safety and pharmacokinetics of OTL78. This study is completed and is registered in the European Trial Database, 2019-002393-31, and the International Clinical Trials Registry Platform, NL8552, and is completed.

Between June 29, 2020, and April 1, 2021, 19 patients were screened for eligibility, 18 of whom were enrolled. The median age was 69 years (IQR 64-70) and median prostate-specific antigen concentration was 15 ng/mL (IQR 9·3-22·0). In 16 (89%) of 18 patients, robot-assisted radical prostatectomy was accompanied by an extended pelvic lymph node dissection. Three serious adverse events occurred in one (6%) patient: an infected lymphocele, a urosepsis, and an intraperitoneal haemorrhage. These adverse events were considered unrelated to the administration of OTL78 or intraoperative fluorescence imaging. No patient died, required a dose reduction, or required discontinuation due to drug-related toxicity. The dose-normalised maximum serum concentration (C_max/dose) in patients was 84·1 ng/mL/mg for the 0·03 mg/kg dose and 79·6 ng/mL/mg for the 0·06 mg/kg dose, the half-life was 5·1 h for the 0·03 mg/kg dose and 4·7 h for the 0·06 mg/kg dose, the volume of distribution was 22·9 L for the 0·03 mg/kg dose and 19·5 L for the 0·06 mg/kg dose, and the clearance was 3·1 L/h for the 0·03 mg/kg dose and 3·0 L/h for the 0·06 mg/kg dose.

This first-in-patient study showed that OTL78 was well tolerated and had the potential to improve prostate cancer detection. Optimal dosing was 0·03 mg/kg, 24 h preoperatively. PSMA-directed fluorescence imaging allowed real-time identification of visually occult prostate cancer and might help to achieve complete oncological resections.

On Target Laboratories.

The effect of positive surgical margins (PSM) on cancer specific mortality (CSM) in high/very high-risk (HR/VHR) prostate cancer (PCa) with aggressive Gleason Grade Group (GGG) is unknown. We tested PSM effect on CSM in this setting, in addition to testing of radiotherapy (RT) benefit in PSM patients.

We relied on Surveillance, Epidemiology, and End Results database (2010-2015), focusing on HR/VHR patients with exclusive GGG 4-5 at radical prostatectomy (RP). Kaplan-Meier plots and multivariable Cox regression models tested the relationship between PSM and CSM. Moreover, the effect of RT on CSM was explored in PSM patients.

Of 3383 HR/VHR patients, 15.1% (n = 511) exhibited PSM. Patients with PSM harbored higher rates of GGG 5 (60.1% vs. 50.9%, p < 0.001), pathologic tumor stage T3a (69.1% vs. 45.2%, p < 0.001) and lymph node involvement (14.1% vs. 9.4%, p < 0.001), relative to patients without PSM. PSM rates decreased over time (2010-2015) from 16.0% to 13.6%. Seven-year CSM-free survival rates were 91.6% versus 95.7% in patients with and without PSM, respectively. In multivariable Cox regression models, PSM was an independent predictor of CSM (hazard ratio = 1.6, p = 0.040) even after adjustment for age, prostate specific antigen, pathologic tumor stage and lymph node status. Finally, in PSM patients, RT delivery did not reduce CSM in either univariable or multivariable Cox regression models.

In HR/VHR PCa patients with exclusive GGG 4-5, PSM at RP adversely affect survival. Moreover, RT has no protective effect on CSM. In consequence, lowest possible PSM rates are crucial in such patients.

To investigate whether subgroups of prostate cancer patients, stratified by positive surgical margin locations, have different oncological outcomes following robot-assisted radical prostatectomy.

A retrospective multicenter cohort study in prostate cancer patients undergoing robot-assisted radical prostatectomy was conducted at 10 institutions in Japan. Pre- and post-operative outcomes were collected from enrolled patients. Biochemical recurrence and clinical and pathological variables were evaluated among subgroups with different positive surgical margin locations.

A total of 3195 patients enrolled in this study. Data from 2667 patients (70.1% [N = 1869] with negative surgical margins and 29.9% [N = 798] with positive surgical margins based on robot-assisted radical prostatectomy specimens) were analyzed. The median follow-up period was 25.0 months. The numbers of patients with apex-only, middle-only, bladder-neck-only, seminal-vesicle-only and multifocal positive surgical margins were 401, 175, 159, 31 and 32, respectively. In the multivariate analysis, PSA level at surgery, pathological Gleason score based on robot-assisted radical prostatectomy specimens, pathological T stage, pathological N stage and surgical margin status were independent risk factors significantly associated with biochemical recurrence-free survival. Patients undergoing robot-assisted radical prostatectomy with multifocal positive surgical margins and seminal-vesicle-only positive surgical margins were associated with worse biochemical recurrence-free survival than those with apex-only, middle-only and bladder-neck-only positive surgical margins. Patients undergoing robot-assisted radical prostatectomy with apex-only positive surgical margins, the most frequent positive surgical margin location, were associated with more favorable biochemical recurrence-free survival that those with middle-only and bladder-neck-only positive surgical margins. The study limitations included the lack of central pathological specimen evaluation.

Although positive surgical margin at any locations is a biochemical recurrence risk factor after robot-assisted radical prostatectomy, positive surgical margin location status should be considered to accurately stratify the biochemical recurrence risk after robot-assisted radical prostatectomy.

A positive surgical margin (PSM) is reported to have some connection to the occurrence of biochemical recurrence and tumor metastasis in prostate cancer after the operation. There are no clinically usable models and the study is to predict the probability of PSM after robot-assisted laparoscopic radical prostatectomy (RALP) based on preoperative examinations. It is a retrospective cohort from a single center. The Lasso method was applied for variable screening; logistic regression was employed to establish the final model; the strengthened bootstrap method was adopted for model internal verification; the nomogram and web calculator were used to visualize the model. All the statistical analyses were based on the R-4.1.2. The main outcome was a pathologically confirmed PSM. There were 151 PSMs in the 903 patients, for an overall positive rate of 151/903 = 16.7%; 0.727 was the adjusted C statistic, and the Brier value was 0.126. Hence, we have developed and validated a predictive model for PSM after RALP for prostate cancer that can be used in clinical practice. In the meantime, we observed that the International Society of Urological Pathology (ISUP) score, Prostate Imaging Reporting and Data System (PI-RADS) score, and Prostate-Specific Antigen (PSA) were the independent risk factors for PSM.

Positive surgical margin (PSM) on radical prostatectomy (RP) is associated with an increased risk of biochemical recurrence and use of salvage therapies. Given these adverse consequences, exploration of time trends and predictors of PSM will improve the patient outcomes following surgery for prostate cancer.

Pathological data from RP patients treated from 2011 to 2020 was extracted from the Victorian Prostate Cancer Outcomes Registry. This is a clinical quality registry that regularly benchmarks and reports back to individual clinicians the PSM percentage for their patients. Trends in PSM over time were visualized with separate running mean plots for both pT2 and pT3/4 disease. Predictors of PSM were explored with multivariable regression with date of surgery, surgical method, and hospital type, public or private, entered as covariates.

In total, 12,394 patients formed the sample with PSM recorded in 25% (n = 3,141) of patients, 12% (777/6,640) in pT2 disease and 41% (2,364/5,754) in pT3/4 disease. Comparing 2011-12 to 2019-20, the pT3/4 PSM proportion declined from 50% to 38% while pT2 percentages were steady at 13%. In "high volume" institutions, pT2 PSM fell from 12% to 6.5%. Independent predictors of lower PSM were robotic vs. open method and being treated at a private vs. public institution.

A clear decline in the proportion of pT3 PSM was observed in a large prostate cancer registry. Proposed explanatory factors include improved technical proficiency with robotic surgery and participation in a registry-based quality improvement initiative.

Cerenkov luminescence imaging (CLI) was successfully implemented in the intraoperative context as a form of radioguided cancer surgery, showing promise in the detection of surgical margins during robot-assisted radical prostatectomy. The present study was designed to provide a quantitative description of the occupational radiation exposure of surgery and histopathology personnel from CLI-guided robot-assisted radical prostatectomy after the injection of ⁶⁸Ga-PSMA-11 in a single-injection PET/CT CLI protocol. Methods: Ten patients with preoperative ⁶⁸Ga-PSMA-11 administration and intraoperative CLI were included. Patient dose rate was measured before PET/CT (n = 10) and after PET/CT (n = 5) at a 1-m distance for 4 patient regions (head [A], right side [B], left side [C], and feet [D]). Electronic personal dosimetry (EPD) was used for intraoperative occupational exposure (n = 10). Measurements included the first surgical assistant and scrub nurse at the operating table and the CLI imager/surgeon at the robotic console and encompassed the whole duration of surgery and CLI image acquisition. An estimation of the exposure of histopathology personnel was performed by measuring prostate specimens (n = 8) with a germanium detector. Results: The measured dose rate value before PET/CT was 5.3 ± 0.9 (average ± SD) μSv/h. This value corresponds to a patient-specific dose rate constant for positions B and C of 0.047 μSv/h⋅MBq. The average dose rate value after PET/CT was 1.04 ± 1.00 μSv/h. The patient-specific dose rate constant values corresponding to regions A to D were 0.011, 0.026, 0.024, and 0.003 μSv/h⋅MBq, respectively. EPD readings revealed average personal equivalent doses of 9.0 ± 7.1, 3.3 ± 3.9, and 0.7 ± 0.7 μSv for the first surgical assistant, scrub nurse, and CLI imager/surgeon, respectively. The median germanium detector-measured activity of the prostate specimen was 2.96 kBq (interquartile range, 2.23-7.65 kBq). Conclusion: Single-injection ⁶⁸Ga-PSMA-11 PET/CT CLI procedures are associated with a reasonable occupational exposure level, if kept under 110 procedures per year. Excised prostate specimen radionuclide content was below the exemption level for ⁶⁸Ga. Dose rate-based calculations provide a robust estimation for EPD measurements.