Tumour location determined by preoperative MRI is an independent predictor for positive surgical margin status after Retzius-sparing robot-assisted radical prostatectomy

Local extension findings on MRI compensate for the ability of pathological staging to predict oncological outcome

BACKGROUND

We investigated whether local extension findings on preoperative MRI and excisional pathology are associated with positive surgical margin and biochemical recurrence after robot-assisted radical prostatectomy.

METHODS

We identified 704 of our patients that underwent robot-assisted radical prostatectomy between 2012 and 2020, and extracted the 326 patients who had preoperative MRI scans and a radiologist reading. These patients were classified into groups according to the presence of local extension on MRI and pathological findings: ≤ cT2pT2 (195 cases), ≤ cT2pT3 (55 cases), cT3pT2 (31 cases), and cT3pT3 (45 cases). We compared positive surgical margin and biochemical recurrence between them.

RESULTS

Median age was 69 years, positive surgical margin rate was 20.2%, and five-year biochemical recurrence rate was 20.3%. Of the 226 patients without local invasion on excisional pathology, those with local extension on MRI (cT3pT2) had relatively higher positive surgical margin rate (29.0% vs. 14.4%, p = 0.05) and significantly higher five-year biochemical recurrence rate (25.8% vs. 9.3%, p = 0.01) than those without local extension on MRI (≤ cT2pT2). Similarly, among the 100 patients with local extension on excisional pathology, those with cT3pT3 had relatively higher positive surgical margin (37.8% vs. 21.8%, p = 0.08) and significantly higher five-year biochemical recurrence (53.3% vs. 29.3%, p = 0.01) than those with ≤ cT2pT3. In multivariate analysis, local extension on MRI was an independent predictor of biochemical recurrence (OR 2.1, 95%CI 1.1-3.9, p = 0.01).

CONCLUSIONS

Local extension on MRI is a prognostic factor independent of pathological stage. The use of MRI may complement the prognostic value of excisional pathology of prostate cancer.

Modified Retzius-sparing robot-assisted radical prostatectomy for cases with anterior tumor: a propensity score-matched analysis

OBJECTIVE

To compare the outcomes between a modified Retzius-sparing robot-assisted radical prostatectomy (mRS-RARP) technique and conventional robot-assisted radical prostatectomy (Con-RARP) technique for cases with anterior prostate cancer (PCa), especially positive surgical margin (PSM) rates and urinary continence (UC).

PATIENTS AND METHODS

We retrospectively included 193 mRS-RARP and 473 Con-RARP consecutively performed by a single surgeon for anterior PCa. Perioperative complications, pathology, and continence were compared after propensity score matching using 9 variables.

RESULTS

After matching (n = 193 per group), PSM were not significantly different in the two groups (16.1% in mRS-RARP group vs. 15.0% in Con-RARP group, p = 0.779). The UC at catheter removal and at 1-month was significantly higher in the mRS-RARP (24.9% vs. 9.8%, p < 0.001; 29.0% vs. 13.5%, p < 0.001, respectively), but not at 3-, 6-, and 12-month follow-ups (p = 0.261, 0.832, and 0.683, respectively).

CONCLUSION

mRS-RARP seems to be an oncologically safe approach for patients with anterior PCa. Compared with the conventional approach, mRS-RARP approach shows benefits in the short-term postoperative UC recovery.

Imaging classification of prostate cancer with extracapsular extension and its impact on positive surgical margins after laparoscopic radical prostatectomy

Abstract

To explore the impact of different imaging classifications of prostate cancer (PCa) with extracapsular extension (EPE) on positive surgical margins (PSM) after laparoscopic radical prostatectomy.

Methods

Clinical data were collected for 114 patients with stage PT3a PCa admitted to Ningbo Yinzhou No. 2 Hospital from September 2019 to August 2023. Radiologists classified the EPE imaging of PCa into Type I, Type II, and Type III. A chi-square test or t-test was employed to analyze the factors related to PSM. Multivariate regression analysis was conducted to determine the factors associated with PSM. Receiver operating characteristic curve analysis was used to calculate the area under the curve and evaluate the diagnostic performance of our model. Clinical decision curve analysis was performed to assess the clinical net benefit of EPE imaging classification, biopsy grade group (GG), and combined model.

Results

Among the 114 patients, 58 had PSM, and 56 had negative surgical margins. Multivariate analysis showed that EPE imaging classification and biopsy GG were risk factors for PSM after laparoscopic radical prostatectomy. The areas under the curve for EPE imaging classification and biopsy GG were 0.677 and 0.712, respectively. The difference in predicting PSM between EPE imaging classification and biopsy GG was not statistically significant (P>0.05). However, when used in combination, the diagnostic efficiency significantly improved, with an increase in the area under the curve to 0.795 (P<0.05). The clinical decision curve analysis revealed that the clinical net benefit of the combined model was significantly higher than that of EPE imaging classification and biopsy GG.

Conclusions

EPE imaging classification and biopsy GG were associated with PSM after laparoscopic radical prostatectomy, and their combination can significantly improve the accuracy of predicting PSM.

The value of preoperative neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and red blood cell distribution width in predicting positive surgical margin after laparoscopic radical prostatectomy

BACKGROUND

Prostate cancer (PCa) is one of the most common malignant tumors in men, and laparoscopic radical prostatectomy (LRP) is commonly used to treat localized and advanced PCa. Positive surgical margin (PSM) is one of the most frequent problems faced by surgeons.

AIMS

This study aimed to explore the value of the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and red blood cell distribution width (RDW) in predicting PSM after LRP.

METHODS AND RESULTS

Three hundred and twenty patients with PCa were admitted and underwent LRP in Beijing Chaoyang Hospital from January 2017 to June 2023. Patients were randomly divided into a training set (225 cases) and a validation set (95 cases) in a 7:3 ratio. NLR, PLR, and RDW were significantly higher in the PSM group than in the negative surgical margins (NSM) group. In addition, the NLR, PLR, and RDW values correlated with clinical T stage, Gleason score, and seminal vesicle invasion in the PSM group. In training set, ROC curve analysis revealed that the optimal cutoff values of NLR, PLR, and RDW for predicting postoperative PSM in PCa were 2.31, 115.40, and 12.85%, respectively. Multivariate Logistic regression analysis showed NLR and RDW were the clinical independent predictors. The area under the curve (AUC, 0.770, 95% CI 0.709-0.831) for postoperative PSM was the highest when a combination of the three parameters was used, with sensitivity and specificity of 62.5% and 85.2%, respectively. In validation set, the AUC values for NLR, PLR, RDW and the three markers combined were 0.708, 0.675, 0.723, and 0.780, respectively. Correlation analysis showed that in the PSM group, NLR was positively correlated with PLR and RDW, and PLR was positively correlated with RDW. By contrast, in the NSM group, a positive association was only found between NLR and PLR.

CONCLUSIONS

Higher preoperative NLR, PLR, and RDW values were associated with postoperative PSM. Additionally, the three markers combined may be useful to predict PSM.

An MRI-based grading system for preoperative risk estimation of positive surgical margin after radical prostatectomy

OBJECTIVE

To construct a simplified grading system based on MRI features to predict positive surgical margin (PSM) after radical prostatectomy (RP).

METHODS

Patients who had undergone prostate MRI followed by RP between January 2017 and January 2021 were retrospectively enrolled as the derivation group, and those between February 2021 and November 2022 were enrolled as the validation group. One radiologist evaluated tumor-related MRI features, including the capsule contact length (CCL) of lesions, frank extraprostatic extension (EPE), apex abutting, etc. Binary logistic regression and decision tree analysis were used to select risk features for PSM. The area under the curve (AUC), sensitivity, and specificity of different systems were calculated. The interreader agreement of the scoring systems was evaluated using the kappa statistic.

RESULTS

There were 29.8% (42/141) and 36.4% (32/88) of patients who had PSM in the derivation and validation cohorts, respectively. The first grading system was proposed (mrPSM1) using two imaging features, namely, CCL ≥ 20 mm and apex abutting, and then updated by adding frank EPE (mrPSM2). In the derivation group, the AUC was 0.705 for mrPSM1 and 0.713 for mrPSM2. In the validation group, our grading systems showed comparable AUC with Park et al.'s model (0.672-0.686 vs. 0.646, p > 0.05) and significantly higher specificity (0.732-0.750 vs. 0.411, p < 0.001). The kappa value was 0.764 for mrPSM1 and 0.776 for mrPSM2. Decision curve analysis showed a higher net benefit for mrPSM2.

CONCLUSION

The proposed grading systems based on MRI could benefit the risk stratification of PSM and are easily interpretable.

CRITICAL RELEVANCE STATEMENT

The proposed mrPSM grading systems for preoperative prediction of surgical margin status after radical prostatectomy are simplified compared to a previous model and show high specificity for identifying the risk of positive surgical margin, which might benefit the management of prostate cancer.

KEY POINTS

• CCL ≥ 20 mm, apex abutting, and EPE were important MRI features for PSM. • Our proposed MRI-based grading systems showed the possibility to predict PSM with high specificity. • The MRI-based grading systems might facilitate a structured risk evaluation of PSM.

Understanding tumor localization in multiparametric MRI of the prostate-effectiveness of 3D printed models

Introduction

Understanding tumor localization in multiparametric MRI (mpMRI) of the prostate is challenging for urologists but of great importance in mpMRI-fused prostate biopsy or radical prostatectomy. The aim was to evaluate the effectiveness of 3D printed models of the prostate to help urologists to locate tumors.

Methods and Participants

20 urologists from University Medical Center Mainz (Germany) were asked to plot the location of a cancer suspicious lesion (PI-RADS ≥ 4) on a total of 30 mpMRI on a prostate sector diagram. The following 3 groups (as matched triplets) were divided into: mpMRI only, mpMRI with radiological report and mpMRI with 3D printed model (scaled 1:1). Statistical analysis was performed using one-way and two-way ANOVA (with bonferroni post-test).

Results

Overall, localization of the suspicious lesion was superior with the radiological report (median of max. 10 [IQR]: MRI 2 [IQR 1;5], MRI + report: 8 [6.3;9], MRI + 3D model 3 [1.3;5.8]; p < 0.001). Residents with <1 year of experience had a significantly higher detection rate using a 3D printed model [5 (5;5.8)] compared to mpMRI alone [1.5 (1;3.5)] (p < 0.05). Regarding the estimation of index lesion extension, the 3D model showed a significant benefit (mean percentage difference [95% CI]: MRI alone 234% [17.1;451.5], MRI + report 114% [78.5;149.6], MRI + 3D model 17% [-7.4;41.3] (p < 0.01).

Conclusion

Urologists still need the written radiological report for a sufficient understanding of tumor localization. The effectiveness of the 3D printed model regarding tumor localization is particularly evident in young residents (<1 year) and leads to a better overall assessment of the tumor extension.

Prostate MRI for Improving Personalized Risk Prediction of Incontinence and Surgical Planning: The Role of Membranous Urethral Length Measurements and the Use of 3D Models

Prostate MRI has an important role in prostate cancer diagnosis and treatment, including detection, the targeting of prostate biopsies, staging and guiding radiotherapy and active surveillance. However, there are other ''less well-known'' applications which are being studied and frequently used in our highly specialized medical center. In this review, we focus on two research topics that lie within the expertise of this study group: (1) anatomical parameters predicting the risk of urinary incontinence after radical prostatectomy, allowing more personalized shared decision-making, with special emphasis on the membranous urethral length (MUL); (2) the use of three-dimensional models to help the surgical planning. These models may be used for training, patient counselling, personalized estimation of nerve sparing and extracapsular extension and may help to achieve negative surgical margins and undetectable postoperative PSA values.

Modified anterior approach preserving Retzius space versus standard anterior approach robot-assisted radical prostatectomy: A matched-pair analysis

Objective

To compare our initial perioperative and postoperative outcomes of the modified anterior approach (MA) with Retzius space preservation robot-assisted radical prostatectomy (RARP) with the standard anterior approach (SA) RARP.

Materials and methods

A retrospective analysis was performed on 116 patients with RARP completed by the same surgeon between September 2019 and March 2022. They were divided into SA-RARP group (77 cases) and MA-RARP group (39 cases). Propensity score matching was performed using eight preoperative variables, including age, BMI, preoperative PSA, biopsy Gleason score, prostate volume, D'Amico risk classification, SHIM, and clinical T stage. Functional outcome was assessed by urine pad count and SHIM after surgery, and oncological outcome was assessed by statistics of postoperative pathological findings as well as follow-up postoperative PSA. The median follow-up was 13 months and 17 months for MA-RARP and SA-RARP groups respectively.

Results

Propensity score matching was performed 1:1, and baseline data were comparable between the two groups after matching. Comparison of postoperative data: MA-RARP group had less mean EBL than SA-RARP group (200 vs 150 ml, p = 0.033). PSM did not differ between groups (p = 1). In terms of urinary control recovery, the MA-RARP group showed significant advantages in urinary control recovery at 24 h, 2 weeks, 1 month and 3 months after catheter removal, respectively (48.6% vs 5.7%, p < 0.001; 80% vs 22.9%, p < 0.001; 94.3% vs 51.4%, p < 0.001; 100% vs 74.3%, p = 0.002). This advantage gradually disappeared 6 months or more after surgery. The median time to recovery of sexual function was shorter in the MA-RARP group (165 vs 255 d, p = 0.001).

Conclusion

MA-RARP is safe and reliable, and can achieve better early urinary control function and sexual function recovery while achieving the primary tumor control goal.

Effect of Preoperative Multiparametric Magnetic Resonance Imaging on Oncologic and Functional Outcomes Following Radical Prostatectomy

Background

Advancements in imaging technology have been associated with changes to operative planning in treatment of localized prostate cancer. The impact of these changes on postoperative outcomes is understudied.

Objective

To compare oncologic and functional outcomes between men who had computed tomography (CT) and those who had multiparametric magnetic resonance imaging (mpMRI) prior to undergoing radical prostatectomy.

Design setting and participants

In this retrospective cohort study, we identified all men who underwent radical prostatectomy (n = 1259) for localized prostate cancer at our institution between 2009 and 2016. Of these, 917 underwent preoperative CT and 342 mpMRI.

Outcome measurements and statistical analysis

Biochemical recurrence-free survival, positive margin status, postoperative complications, and 1-yr postprostatectomy functional scores (using the 26-item Expanded Prostate Cancer Index Composite [EPIC-26] questionnaire) were compared between those who underwent preoperative CT and those who underwent mpMRI using propensity score weighted Cox proportional hazard regression, logistic regression, and linear regression models.

Results and limitations

Baseline and 1-yr follow-up EPIC-26 data were available for 449 (36%) and 685 (54%) patients, respectively. After propensity score weighting, no differences in EPIC-26 functional domains were observed between the imaging groups at 1-yr follow-up. Positive surgical margin rates (odds ratio 1.03, 95% confidence interval [CI] 0.77-1.38, p = 0.8) and biochemical recurrence-free survival (hazard ratio 1.21, 95% CI 0.84-1.74, p = 0.3) were not significantly different between groups. Early and late postoperative complications occurred in 219 and 113 cases, respectively, and were not different between imaging groups. Our study is limited by a potential selection bias from the lack of functional scores for some patients.

Conclusions

In this single-center study of men with localized prostate cancer undergoing radical prostatectomy, preoperative mpMRI had minimal impact on functional outcomes and oncologic control compared with conventional imaging. These findings challenge the assumptions that preoperative mpMRI improves operative planning and perioperative outcomes.

Patient summary

In this study, we assessed whether the type of prostate imaging performed prior to surgery for localized prostate cancer impacted outcomes. We found that urinary and sexual function, cancer control, and postoperative complications were similar regardless of whether magnetic resonance imaging or computed tomography was utilized prior to surgery.

Development of a Prediction Model for Positive Surgical Margin in Robot-Assisted Laparoscopic 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.

Trends in primary treatment for localized prostate cancer according to the availability of treatment modalities and the impact of introducing robotic surgery

OBJECTIVES

We aimed to investigate the effect of available treatment modalities on primary treatment selection in patients with localized prostate cancer and that of introducing robotic surgery.

METHODS

We retrospectively studied 12 061 patients diagnosed with localized prostate cancer between 2004 and 2018 from 21 institutions. These institutions were divided into five groups according to the availability of surgery and radiotherapy. Differences in primary treatment selection between the institutions were investigated, and the predictive factors involved in the selection were explored.

RESULTS

Surgery, radiotherapy, androgen deprivation therapy, and active surveillance/watchful waiting were selected as primary treatment in 4115, 3621, 3188, and 821 patients, respectively, while the remaining 316 patients selected other modalities. The number of patients, particularly young patients, was much higher in institutions with both surgery and radiotherapy. With the introduction of robotic surgery, open radical prostatectomy has decreased, and robotic surgery made up approximately 70% of all prostatectomies. Institutions with both surgery and radiotherapy tended to treat patients with very low or low risk by surgery or radiotherapy, while institutions without surgery and radiotherapy tended to select active surveillance or watchful waiting. Multivariate analysis revealed that primary treatment selection for prostate cancer was affected not only by clinical factors, but also by the available modalities in each institution.

CONCLUSIONS

Differences in available treatment modalities affect the selection of primary treatment for localized prostate cancer. Introduction of robotic surgery also has a strong influence on the number of patients in each institution.

Prediction of surgical margin status and location after radical prostatectomy using positive biopsy sites on 12-core standard prostate biopsy

We evaluated the surgical margin status after radical prostatectomy according to sites positive for prostate cancer on standard 12-core transrectal ultrasound-guided prostate biopsy. Among patients who underwent radical prostatectomy at Boramae Medical Center, 520 patients with preoperative prostate-specific antigen (PSA) level < 20 ng/mL and locally confined prostate cancer on preoperative magnetic resonance imaging, treated with nerve-sparing radical prostatectomy, were included in the analysis. The surgical margin was positive for cancer in 166 (31.9% of the total) patients. The preoperative PSA level (9.3 vs. 8.0, ng/mL p = 0.001) and number of positive cores on 12-core prostate biopsy (4.1 vs. 3.4, p = 0.003) were significantly higher in patients with positive surgical margins. Moreover, the biopsy Gleason grade was higher in patients with positive surgical margins (p = 0.001). However, the pathologic Gleason grade and tumor volume were equivalent between the 2 groups. On multivariate analysis, the detection of prostate cancer on anterior lateral biopsy was associated with an increased rate of positive surgical margins (hazard ratio [HR]: 1.781, p = 0.008) after adjusting for other variables. Anterior lateral (HR: 1.919, p = 0.020), basal lateral (HR: 9.176, p < 0.001), basal medial (HR: 3.302, p = 0.031), and mid lateral (HR: 2.501, p = 0.044) biopsies were associated with positive apical, posterior, basal, and lateral surgical margins, respectively, after adjusting for other variables. The sites of prostate cancer on standard 12-core prostate biopsy could be useful for predicting surgical margin positivity after radical prostatectomy. In other words, clinicians should consider the sites of prostate cancer on prostate biopsy to reduce margin positivity after radical prostatectomy.

Comparison of Retzius-Sparing Robot-Assisted Radical Prostatectomy vs. Conventional Robot-Assisted Radical Prostatectomy: An Up-to-Date Meta-Analysis

Background: The Retzius space-sparing robot-assisted radical prostatectomy (RS-RARP) has shown better results in urinary continence, but its efficacy and safety compared to conventional robot-assisted radical prostatectomy (c-RARP) remain controversial.

Material and Methods: A research was conducted in Medline via PubMed, Cochrane Library, EMBASE, and Web of Science up to January 4, 2021, to identify studies comparing RS-RARP to c-RARP. We used RevMan 5.3 and STATA 14.0 for meta-analysis.

Results: A total of 14 studies involving 3,129 participants were included. Meta-analysis showed no significant difference in positive surgical margins (PSMs), but the RS-RARP group had significantly higher PSM rates in the anterior site [odds ratio (OR) = 2.25, 95% CI: 1.22–4.16, P = 0.01]. Postoperative continence in RS-RARP group at 1 month (OR = 5.72, 95% CI: 3.56–9.19, P < 0.01), 3 months (OR = 6.44, 95% CI: 4.50–9.22, P < 0.01), 6 months (OR = 8.68, 95% CI: 4.01–18.82, P < 0.01), and 12 months (OR = 2.37, 95% CI: 1.20–4.70, P = 0.01) was significantly better than that in the c-RARP group. In addition, the RS-RARP group had a shorter console time (mean difference = −16.28, 95% CI: −27.04 to −5.53, P = 0.003) and a lower incidence of hernia (OR = 0.35, 95% CI: 0.19–0.67, P = 0.001). However, there were no significant differences in estimated blood loss, pelvic lymph node dissection rate, postoperative complications, 1-year-biochemical recurrence rate, and postoperative sexual function.

Conclusions: Compared with c-RARP, RS-RARP showed better recovery of continence, shorter console time, and lower incidence of hernia. Although there was no significant difference in overall PSM, we suggest that the surgeon should be more careful if the lesion is in the anterior prostate.

Transition zone prostate cancer is associated with better clinical outcomes than peripheral zone cancer

Objectives

Patients and methods

Results

Conclusion

Retzius-sparing robot-assisted radical prostatectomy improves early recovery of urinary continence: a randomized, controlled, single-blind trial with a 1-year follow-up

OBJECTIVE

To evaluate the impact of Retzius-sparing robot-assisted radical prostatectomy (posterior approach) on early recovery of urinary continence (UC) compared to the conventional approach (anterior approach) for the treatment of clinically localized prostate cancer (PCa).

METHODS

A total of 110 consecutive patients with clinically localized PCa were prospectively randomized in a 1:1 ratio to an anterior group (n = 55) or a posterior group (n = 55). The primary outcome was immediate UC, defined as freedom from any pad use within 1 week after removal of the urinary catheter. The UC rate following surgery was also calculated with Kaplan-Meier curves, and the log-rank test was used for statistical comparison. Intra-operative outcomes, pathological data and oncological outcomes, including positive surgical margin (PSM) status and biochemical recurrence-free survival (BCRFS), were also compared between the two groups. The comparison of the two approaches was also analysed in subgroups after risk stratification.

RESULTS

Of the patients who underwent the posterior approach, 69.1% achieved immediate UC compared with 30.9% in the anterior group (relative risk 2.24, 95% confidence interval [CI] 1.48-3.51; P = 0.000). The relative Kaplan-Meier curves for UC during the 12-month follow-up revealed statistically better recovery in the posterior group when compared with the anterior group (hazard ratio [HR] 1.51, 95% CI 1.01-2.24; log-rank P = 0.007). No statistically significant differences were observed between the groups regarding complications (P = 0.399), PSM status (P = 0.225) or BCRFS (HR 4.80, 95% CI 0.97-23.78; log-rank P = 0.111). In sub-analyses, no significant difference between the two approaches with regard to UC recovery in patients with high-risk PCa was observed (HR 1.26, 95% CI 0.63-2.51; log-rank P = 0.415).

CONCLUSIONS

The Retzius-sparing approach significantly improved early recovery of UC compared to the conventional approach. Further prospective studies are needed to confirm the benefits of the Retzius-sparing approach for clinically localized PCa, especially for high-risk cases.