Indications for and complications of pelvic lymph node dissection in prostate cancer: accuracy of available nomograms for the prediction of lymph node invasion

External validation of the Memorial Sloan Kettering Cancer Center preoperative nomogram predicting lymph node invasion in a cohort of high-grade prostate cancer patients

BACKGROUND

Commonly used preoperative nomograms predicting clinical and pathological outcomes in prostate cancer (PCa) patients have not been yet validated in high-grade only PCa patients. Our objective is to perform an external validation of the Memorial Sloan Kettering Cancer Center (MSKCC) preoperative nomogram as a predictor of lymph node invasion (LNI) in a cohort of high-grade PCa patients.

METHODS

We included patients with high-grade PCa (Gleason ≥8) treated at our institution between 2011 and 2020 with radical prostatectomy and pelvic lymph node dissection without receiving neoadjuvant or adjuvant therapy. The area under the curve (AUC) of the receiver operator characteristic (ROC) was used to quantify the accuracy of the model to predict LNI. A calibration plot was used to evaluate the model's precision, and a decision curve analysis was computed to evaluate the net benefit associated with its use. This study was approved by our institution's ethics board.

RESULTS

A total of 242 patients with a median age of 66 (60-71) years were included. LNI was observed in 70 (29%) patients with a mean of 16 (median = 15; range = 2-42) resected nodes. The MSKCC nomogram discriminative accuracy, as evaluated by the AUC-ROC was 79.0% (CI: [0.727-0.853]).

CONCLUSION

The MSKCC preoperative nomogram is a good predictor of LNI and a useful tool associated with net clinical benefit in this patient population.

2012 Briganti nomogram predict prostate cancer progression in EAU intermediate risk with unfavorable tumor grade: A single center experience

BACKGROUND

To investigate the potential prognostic impact of Briganti's 2012 nomogram in EAU intermediate-risk patients presenting with an unfavorable tumor grade and treated with robot-assisted radical prostatectomy, eventually associated with extended pelvic lymph node dissection.

MATERIALS AND METHODS

From January 2013 to December 2021, the study included 179 EAU intermediate-risk patients presenting with an unfavorable tumor grade (ISUP 3), eventually associated with a PSA of 10-20 ng/ml and/or cT-2b. Briganti's 2012 nomogram was assessed as both a continuous and dichotomous variable, categorized according to the median (risk score ⩾7% vs <7%). Disease progression, defined as biochemical recurrence and/or metastatic progression, was evaluated using Cox proportional hazards in both univariate and multivariate analyses.

RESULTS

Disease progression occurred in 43 (24%) patients after a median (95% CI) follow-up of 78 (65.7-88.4) months. The nomogram risk score predicted disease progression, evaluated both as a continuous variable (hazard ratio, HR = 1.064; 95% CI: 1.035-1.093; p < 0.0001) and as a categorical variable (HR = 3.399; 95% CI: 1.740-6.638; p < 0.0001). This association was confirmed in multivariate analysis, where hazard ratios remained consistent even after adjusting for clinical and pathological factors.

CONCLUSIONS

In EAU intermediate-risk PCa cases presenting with an unfavorable tumor grade and treated surgically, Briganti's 2012 nomogram was associated with disease progression after surgery. Consequently, as the nomogram risk score increased, patients were more likely to experience PCa progression, facilitating the stratification of the patient population into distinct prognostic subgroups.

Briganti's 2012 nomogram is an independent predictor of prostate cancer progression in EAU intermediate-risk class: results from 527 patients treated with robotic surgery

ABSTRACT

The study aimed to test if Briganti's 2012 nomogram could be associated with the risk of prostate cancer (PCa) progression in European Association of Urology (EAU) intermediate-risk patients treated with robotic surgery. From January 2013 to December 2021, 527 consecutive patients belonging to the EAU intermediate-risk class were selected. Briganti's 2012 nomogram, which predicts the risk of pelvic lymph node invasion (PLNI), was assessed as a continuous and dichotomous variable that categorized up to the median of 3.0%. Disease progression defined as biochemical recurrence and/or metastatic progression was evaluated by Cox proportional hazards (univariate and multivariate analysis). After a median follow-up of 95.0 months (95% confidence interval [CI]: 78.5-111.4), PCa progression occurred in 108 (20.5%) patients who were more likely to present with an unfavorable nomogram risk score, independently by the occurrence of unfavorable pathology including tumor upgrading and upstaging as well as PLNI. Accordingly, as Briganti's 2012 risk score increased, patients were more likely to experience disease progression (hazard ratio [HR] = 1.060; 95% CI: 1.021-1.100; P = 0.002); moreover, it also remained significant when dichotomized above a risk score of 3.0% (HR = 2.052; 95% CI: 1.298-3.243; P < 0.0001) after adjustment for clinical factors. In the studied risk population, PCa progression was independently predicted by Briganti's 2012 nomogram. Specifically, we found that patients were more likely to experience disease progression as their risk score increased. Because of the significant association between risk score and tumor behavior, the nomogram can further stratify intermediate-risk PCa patients, who represent a heterogeneous risk category for which different treatment paradigms exist.

Feasibility of Using a Novel Drop-In Gamma Probe for 99mTc-PSMA-I&S-Guided Lymph Node Detection During Robot-Assisted Radical Prostatectomy for Primary Prostate Cancer

PURPOSE

Prostate-specific membrane antigen (PSMA)-targeted radioguided surgery (RGS) has gained increased interest in prostate cancer (PCa). This analysis aims to evaluate the feasibility, safety, and limitations of RGS with a novel drop-in gamma probe in primary PCa.

PATIENTS AND METHODS

The data of 13 patients with primary PCa undergoing RGS were analyzed retrospectively. After preoperative administration of 99mTc-PSMA-I&S, a SPECT/CT was conducted and a robotic radical prostatectomy was performed the following day including intraoperative assessment of the lymph node stations using a novel robotic drop-in gamma probe. This was followed by an extended pelvic lymph node dissection (ePLND) with ex vivo control measurement using the drop-in and a conventional rigid gamma probe.

RESULTS

Eleven patients (median PSA value of 11 ng/mL) had high-risk and 2 patients had intermediate-risk PCa. Overall, a median of 22 ePLND lymph nodes were dissected. In 1 patient, preoperative SPECT/CT imaging showed suspicious lymph nodes, which could be confirmed intraoperatively with the robotic drop-in probe and subsequently in the final histopathological analysis. RGS failed to identify 2 patients with micrometastases (<3 mm) preoperatively and intraoperatively. No postoperative complications related to 99mTc-PSMA-I&S RGS or ePLND occurred.

CONCLUSIONS

RGS with the novel drop-in gamma probe and 99mTc-PSMA-I&S allows for a reliable intraoperative screening for lymph node metastases in robot-assisted radical prostatectomy for primary PCa with an acceptable safety profile. However, limitations in the detection of micrometastases need to be overcome before omitting extended ePLND in patients at risk for lymphatic spread.

Urinary extracellular vesicle-derived miR-126-3p predicts lymph node invasion in patients with high-risk prostate cancer

To investigate extracellular vesicles (EVs), biomarkers for predicting lymph node invasion (LNI) in patients with high-risk prostate cancer (HRPCa), plasma, and/or urine samples were prospectively collected from 45 patients with prostate cancer (PCa) and five with benign prostatic hyperplasia (BPH). Small RNA sequencing was performed to identify miRNAs in the EVs. All patients with PCa underwent radical prostatectomy and extended pelvic lymph node dissection. Differentially expressed miRNAs were identified in patients with and without pathologically-verified LNI. The candidate miRNAs were validated in low-risk prostate cancer (LRPCa) and BPH. Four miRNA species (e.g., miR-126-3p) and three miRNA species (e.g., miR-27a-3p) were more abundant in urinary and plasma EVs, respectively, of patients with PCa. None of these miRNA species were shared between urinary and plasma EVs. miR-126-3p was significantly more abundant in patients with HR PCa with LNI than in those without (P = 0.018). miR-126-3p was significantly more abundant in the urinary EVs of patients with HRPCa than in those with LRPCa (P = 0.017) and BPH (P = 0.011). In conclusion, urinary EVs-derived miR-126-3p may serve as a good biomarker for predicting LNI in patients with HRPCa.

Extended pelvic lymph node dissection in robot-assisted radical prostatectomy is an independent risk factor for major complications

The aim of this study is to evaluate the major postoperative complication rate after robot-assisted radical prostatectomy (RARP) and to identify related risk factors. A consecutive series of patients who underwent RARP between September 2016 and May 2021, with or without extended pelvic lymph node dissection (ePLND) were analyzed for postoperative complications that occurred within 30 days following surgery. Potential risk factors related to complications were identified by means of a multivariate logistic analysis. Electronic medical records were retrospectively reviewed for the occurrence of major complications (Clavien-Dindo grade III or higher) on a per patient level. A multivariate logistic regression with risk factors was performed to identify contributors to complications. In total, 1280 patients were included, of whom 79 (6.2%) experienced at least 1 major complication. Concomitant ePLND was performed in 609 (48%) of patients. The majority of all complications were likely related to the surgical procedure, with anastomotic leakage and lymphoceles being the most common. Upon multivariate analysis, performing ePLND remained the only significant risk factor for the occurrence of major complications (OR 2.26, p = 0.001). In contrast to robot-assisted radical prostatectomy alone, the combination with extended pelvic lymph node dissection (ePLND) has a substantial risk of serious complications. Since the ePLND is performed mainly for staging purpose, the clinical contribution of the ePLND has to be reconsidered with the present use of the PSMA-PET/CT.

Urinary extracellular vesicle-derived miR-126-3p predicts lymph node invasion in patients with high-risk prostate cancer

To investigate extracellular vesicles (EVs) biomarkers for predicting lymph node invasion (LNI) in patients with high-risk prostate cancer (HRPCa), plasma and/or urine samples were prospectively collected from 45 patients with prostate cancer (PCa) and five with benign prostatic hyperplasia (BPH). Small RNA sequencing was performed to identify miRNAs in the EVs. All patients with PCa underwent radical prostatectomy and extended pelvic lymph node dissection. Differentially-expressed miRNAs were identified in patients with and without pathologically-verified LNI. The candidate miRNAs were validated in low-risk prostate cancer (LRPCa) and BPH. Four miRNA species (e.g. miR-126-3p) and three miRNA species (e.g. miR-27a-3p) were more abundant in urinary and plasma EVs, respectively, of patients with PCa. None of these miRNA species were shared between urinary and plasma EVs. miR-126-3p was significantly more abundant in patients with HR PCa with LNI than in those without (P = 0.018). miR-126-3p was significantly more abundant in the urinary EVs of patients with HRPCa than in those with LRPCa (P = 0.017) and BPH (P = 0.011). In conclusion, urinary EVs-derived miR-126-3p may serve as a good biomarker for predicting LNI in patients with HRPCa.

The 2012 Briganti nomogram predicts disease progression in surgically treated intermediate-risk prostate cancer patients with favorable tumor grade group eventually associated with some adverse factors

To evaluate the prognostic potential of the 2012 Briganti nomogram for pelvic lymph node invasion on disease progression after surgery in intermediate-risk (IR) prostate cancer (PCa) patients with favorable tumor grade (International Society of Urological Pathology grade group 1 or 2), eventually associated with adverse clinical features as PSA between 10 and 20 ng/mL and/or clinical stage T2b. All IR PCa patients treated with robot-assisted radical prostatectomy and eventually extended pelvic lymph node dissection at the Department of Urology of the Integrated University Hospital of Verona between 2013 and 2021, with the abovementioned features, and available follow-up were considered. The 2012 Briganti nomogram score was assessed both as a continuous and dichotomous variable, where a mean risk score of 4% was used a threshold. The independent predictor status of the nomogram score on disease progression defined as the occurrence of biochemical recurrence and/or metastatic progression was evaluated using the Cox regression analysis. Overall, 348 patients were enrolled in the study. Median (interquartile range) follow-up was 98 (83.5-112.4) months. At multivariable Cox regression analysis, PCa progression, which occurred in 65 (18.7%) cases, was independently predicted only by the 2012 Briganti nomogram score evaluated as a continuous variable, among all considered clinical features (HR 1.16; 95%CI 1.08-1.24; p < 0.001). In addition, patients presenting with a nomogram score ≥ 4% were more likely to experience disease progression even after adjustment for clinical (HR 2.22, 95%CI 1.02-4.79; p = 0.043) and pathological (HR 1.80; 95%CI 1.06-3.05; p = 0.031) factors. In the examined patient population, the 2012 Briganti nomogram predicted PCa progression after surgery. Accordingly, as the risk score increased, patients were more likely to progress, independently by the occurrence of adverse pathology in the surgical specimen. The 2012 Briganti nomogram score categorized according to the mean value allowed to identify prognostic subgroups.

The role and controversy of pelvic lymph node dissection in prostate cancer treatment: a focused review

Pelvic lymph node dissection (PLND) is commonly performed alongside radical prostatectomy. Its primary objective is to determine the lymphatic staging of prostate tumors by removing lymph nodes involved in lymphatic drainage. This aids in guiding subsequent treatment and removing metastatic foci, potentially offering significant therapeutic benefits. Despite varying recommendations from clinical practice guidelines across countries, the actual implementation of PLND is inconsistent, partly due to debates over its therapeutic value. While high-quality evidence supporting the superiority of PLND in oncological outcomes is lacking, its role in increasing surgical time and risk of complications is well-recognized. Despite these concerns, PLND remains the gold standard for lymph node staging in prostate cancer, providing invaluable staging information unattainable by other techniques. This article reviews PLND's scope, guideline perspectives, implementation status, oncologic and non-oncologic outcomes, alternatives, and future research needs.

How Might the Number of Lymph Nodes Removed during RARP Impact the Postoperative Outcomes?

INTRODUCTION

Symptomatic lymphocele remains a relevant complication after pelvic tumor surgery. This study aims to investigate how the number of lymph nodes removed may influence postoperative outcomes and if it increases the probability of detecting lymph node metastasis.

METHODS

The study included 500 patients who underwent RARP including lymphadenectomy performed by a single surgeon. Patients were divided into two groups: group 1 consisted of 308 patients with 20 or fewer lymph nodes removed (mean 15), while group 2 had 192 patients with over 20 nodes removed (mean 27). Perioperative data were analyzed, and postoperative outcomes were compared between groups.

RESULTS

Overall, lymph node metastasis was detected in 17.8% of men. In detail, out of 19.6 lymph nodes removed, an average of 3.14 lymph nodes per patient showed metastasis, with a slightly higher incidence of 19.7% in group 2 compared to 16.5% in group 1, though not statistically significant (p = 0.175). The number of lymph node metastases was significantly higher in group 2 patients (3.47) versus group 1 (2.37) (p = 0.048). All complications except symptomatic lymphoceles (p = 0.004) were not significantly different between groups. Univariate linear regression analysis revealed no correlation between the number of removed lymph nodes and symptomatic lymphocele. However, it did correlate with catheter days and readmissions.

CONCLUSION

A correlation may exist between the number of lymph nodes removed during RARP and an increased incidence of complications, particularly symptomatic lymphocele. A more extensive PLND may result in prolonged catheter days and increased readmissions. With the increased extent of pelvic lymphadenectomy, the probability of detecting lymphogenic metastasis rises. The diagnostic value of PLND is well established. Further randomized trials are needed to weigh its necessity and extent.

Positive independent association between preoperative endogenous testosterone density and tumor load density in surgical specimen of patients undergoing radical prostatectomy

OBJECTIVE

To evaluate the influence of endogenous testosterone density (ETD) and tumor load density (TLD) in the surgical specimen of prostate cancer (PCa) patients.

METHODS

ETD was assessed as the ratio of endogenous testosterone (ET) to prostate volume (PV). TLD was calculated as the ratio of tumor load (TL) to prostate weight. Preoperative prostate-specific antigen relative densities (PSAD) and percentage of biopsy-positive cores (BPCD) were also assessed. The association of high TLD (above the first quartile) with clinical and pathological factors was assessed by the logistic regression model (univariate and multivariate analysis).

RESULTS

Between November 2014 and December 2019, ET was measured in 805 cases treated with radical prostatectomy (RP). Median (IQR) of ET and ETD was 412 (321.4-519 ng/dL) and 9.8 (6.8-14.4 ng/(dLxmL)) as well as for TL and TLD was 20 (10-30%) and 0.33 (0.17-0.58%/gr), respectively. As a result, high TLD was detected in 75% of cases. A positive independent association was found between high TLD and ETD. Accordingly, as ETD levels increased, the risk of detecting high TLD in the surgical specimen increased, regardless of PSAD and BPCD.

CONCLUSIONS

At diagnosis of PCa, a positive independent association was found between ETD and risk of high TLD. Subjects with increasing ETD levels were more likely to have high TLD, associated with unfavorable pathology features. The positive association between ETD and TLD in the prostate microenvironment might adversely influence PCa's natural history.

Benefit and harm of lymphadenectomy in intermediate risk prostate cancer: comparison of five nomograms

BACKGROUND

Pelvic lymph node dissection (PLND) is recommended method for detecting prostate cancer (PCa) nodal metastases although associated with serious complications. In this study, we aimed to assess benefit/harm of routine PLND in intermediate risk PCa patients and to compare diagnostic yield of five different nomograms in predicting lymph node invasion (LNI).

METHODS

Retrospective analysis of consecutive PCa patients with intermediate risk of biochemical recurrence who underwent open radical prostatectomy (RP) with bilateral PLND between January 2017 and December 2019 at our institution. Partin, 2012-Briganti, 2018-Briganti, Cagiannos and Memorial Sloan Kettering Cancer Center (MSKCC) values were calculated. To compare accuracy, sensitivity, specificity, and area under receiver-operating curve (AUC) were calculated and then optimal cutoff values were estimated, analyses repeated and compared. To assess benefit and harm of PLND, relative risk (RR) and number need to treat (NNT) with LNI and complications set as outcome were calculated.

RESULTS

Total 309 subjects. Average age 62.2 years, average PSA 7.2 ng/mL; 18 (5.8%) had LNI; 88 (28.5%) suffered Clavien-Dindo grade 3-5 complication. AUC for predicting LNI: 0.729 for 2012-Briganti, 0.660 for MSKCC, 0.521 for 2018-Briganti, 0.486 for Cagiannos, and 0.424 for Partin. None of pairwise AUC comparisons based on default and newly established cutoff values were statistically significant. Lowest NNT was for Partin and Cagiannos with default cutoff (≥ 5%). Risks of serious complications between higher/lower than cutoff values were non-significant across nomograms.

CONCLUSIONS

2012-Briganti nomogram outperforms, although not significantly, MSKCC, 2018-Briganti, Cagiannos, and Partin nomograms in classifying LNI in intermediate risk PCa patients. Routine PLND in these patients should be avoided, due to high rate and severity of complications.

Preoperative endogenous total testosterone predicts prostate cancer progression: results in 580 consecutive patients treated with robot assisted radical prostatectomy for clinically localized disease

PURPOSE

To test the role of endogenous total testosterone (ETT) as a predictor of prostate cancer (PCa) progression in patients treated with robot assisted radical prostatectomy for clinically localized disease.

METHODS

Between November 2014 and December 2019, 580 consecutive patients were evaluated. Preoperative ETT levels were classified as ≤ 350 ng/dL vs. > 350 ng/dL. The associations between ETT levels and the risk of PCa progression, defined as any event of biochemical recurrence and/or local recurrence and/or distant metastases, or other clinical and pathological factors were evaluated by regression analyses.

RESULTS

Preoperative ETT levels resulted ≤ 350 ng/dL in 173 (29.8%) patients. Disease progression occurred in 101 (17.1%) cases. Progressing patients were more likely to present with PSA levels > 10 ng/mL, as well as with unfavorable tumor grade (ISUP 4-5) and stage (pT3b) at final pathology, but less likely to have ETT levels ≤ 350 ng/mL. On clinical multivariable Cox regression models, ETT ≤ 350 ng/mL exhibited a statistically significant protective effect on tumor progression (hazard ratio: 0.57, p = 0.013). Subjects presenting with ETT levels ≤ 350 ng/mL were less likely to harbor ISUP 4-5 tumor grade either at biopsy (odds ratio [OR]: 0.46, p = 0.028) or final pathology (OR: 0.45, p = 0.032).

CONCLUSIONS

At PCa diagnosis, ETT, which associates with ISUP tumor grade, is an independent predictor of disease progression. Accordingly, as ETT decreases to levels ≤ 350 ng/dL, the risk of unfavorable tumor grade decreases, and a more favorable prognosis is expected. Preoperative ETT levels may allow further patient stratification along prognostic risk groups.

Comparison of Four Validated Nomograms (Memorial Sloan Kettering Cancer Center, Briganti 2012, 2017, and 2019) Predicting Lymph Node Invasion in Patients with High-Risk Prostate Cancer Candidates for Radical Prostatectomy and Extended Pelvic Lymph Node Dissection: Clinical Experience and Review of the Literature

Background: The indication for extended pelvic lymph node dissection (ePLND) at the time of radical prostatectomy (RP) is based on nomograms predicting the risk of lymph node invasion (LNI). However, limited data are available on the comparison of these predictive models in high-risk prostate cancer (PC) patients. Therefore, we compared the accuracy of the most used nomograms (MSKCC, Briganti 2012, 2017, and 2019) in the setting of high-risk PC patients submitted to ePLND. Methods: 150 patients with high-risk PC disease treated from 2019 to 2022 were included. Before RP + ePLND, we assessed the MSKCC, Briganti 2012, 2017, and 2019 nomograms for each patient, and we compared the prediction of LNI with the final histopathological analysis of the ePLND using pathologic results as a reference. Results: LNI was found in 39 patients (26%), and 71.3% were cT2. The percentage of patients with estimated LNI risk above the cut-off was significantly higher in pN+ cases than in pN0 for all Briganti nomograms. The percentage of patients at risk of LNI, according to Briganti Nomogram (2012, 2017, and 2019), was significantly higher in pN+ cases than in pN0 (p < 0.04), while MSKCC prediction didn’t vary significantly between pN0 and pN+ groups (p = 0.2). All nomograms showed high sensitivity (Se > 0.90), low specificity (Sp < 0.20), and similar AUC (range: 0.526–0.573) in predicting pN+. Particularly, 74% of cases patients with MSKCC estimated risk > 7% showed pN0 compared to 71% with Briganti 2012 > 5%, 69% with Briganti 2017 > 7%, and 70% with Briganti 2019 > 7%. Conclusions: Despite the high-risk disease, in our patients treated with ePLND emerges a still high number of pN0 cases and a similar low specificity of nomograms in predicting LNI.

Preoperative endogenous testosterone density predicts disease progression from localized impalpable prostate cancer presenting with PSA levels elevated up to 10 ng/mL

OBJECTIVE

To investigate endogenous testosterone density (ETD) predicting disease progression from clinically localized impalpable prostate cancer (PCa) presenting with prostate-specific antigen (PSA) levels elevated up to 10 ng/mL and treated with radical prostatectomy.

MATERIALS AND METHODS

In a period ranging from November 2014 to December 2019, 805 consecutive PCa patients who were not under androgen blockade had endogenous testosterone (ET, ng/dL) measured before surgery. ETD was evaluated as the ratio of ET on prostate volume (PV). Unfavorable disease was defined as including ISUP ≥ 3 and/or seminal vesicle invasion in the surgical specimen. The risk of disease progression was evaluated by statistical methods.

RESULTS

Overall, the study selected 433 patients, of whom 353 (81.5%) had available follow-up. Unfavorable disease occurred in 46.7% of cases and was predicted by tumor quantitation features that were positively associated with ETD. Disease progression, which occurred for 46 (13%) cases, was independently predicted only by ETD (hazard ratio, HR = 1.037; 95% CI 1.004-1.072; p = 0.030) after adjusting for unfavorable disease. According to a multivariate model, ETD above the third quartile was confirmed to be an independent predictor for PCa progression (HR = 2.479; 95% CI 1.355-4.534; p = 0.003) after adjusting for unfavorable disease. The same ETD measurements, ET mean levels were significantly lower in progressing cancers.

CONCLUSIONS

In this particular subset of patients, increased ETD with low ET levels, indicating androgen independence, resulted in a more aggressive disease with poorer prognosis.

Pelvic lymph node dissection in prostate and bladder cancers

Prostate cancer and bladder cancer accounts for approximately 13.5% and 3% of all male cancers and all newly diagnosed cancers (regardless sex), respectively. Thus, these cancers represent a major health and economic burden globally. The knowledge of lymph node status is an integral part of the management of any solid tumor. In the urological field, pelvic lymph node dissection (PLND) is of paramount importance in the diagnosis, management, and prognosis of prostate and bladder cancers. However, PLND may be associated with several comorbidities. In this narrative review, the most recent updates concerning the patterns and incidence of lymph node metastasis, the role of different imaging studies and nomograms in determining patients' eligibility for PLND, and the anatomical templates of PLND in urologic patients with bladder or prostate cancer will be discussed.

American Society of Anesthesiologists' (ASA) Physical Status System and Risk of Major Clavien-Dindo Complications After Robot-Assisted Radical Prostatectomy at Hospital Discharge: Analysis of 1143 Consecutive Prostate Cancer Patients

Objective

To test the hypothesis of associations of preoperative physical status system with major postoperative complications at hospital discharge in prostate cancer (PCa) patients treated with robot-assisted radical prostatectomy (RARP).

Materials and Methods

In a period ranging from January 2013 to October 2020, 1143 patients were evaluated. The physical status was assessed by the American Society of Anesthesiologists' (ASA) system, which was computed trained anesthesiologists. The Clavien-Dindo system was used to classify postoperative complications, which were coded as major if greater than 1.

Results

ASA physical status system included class I in 102 patients (8.9%), class II in 934 subjects (81.7%), and class III in 107 cases (9.4%). Clavien-Dindo complications were distributed as follows: grade 1: 141 cases (12.3%), grade 2: 108 patients (9.4%), grade 3a: 5 subjects (0.4%), grade 3b: 9 patients (0.8%), and grade 4a: 3 cases (0.3%). Overall, major complications were detected in 125 cases (10.9%). On multivariate analysis, major Clavien-Dindo complications were predicted by ASA score grade II (adjusted odds ratio, OR = 2.538; 95%CI 1.007-6.397; p = 0.048) and grade III (adjusted OR 3.468; 95%CI 1.215-9.896; p = 0.020) independently by pelvic lymph node dissection (PLND) and/or blood lost.

Conclusion

In RARP surgery, the risk of major postoperative Clavien-Dindo complications increased as the physical status system deteriorated independently by performing or not a PLND and/or large intraoperative blood lost. The ASA score system was an effective predictor of major Clavien-Dindo complications, which delayed LOHS in RARP surgery. Confirmatory studies are required.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13193-022-01577-9.

Differences in rates of pelvic lymph node dissection in National Comprehensive Cancer Network favorable, unfavorable intermediate- and high-risk prostate cancer across United States SEER registries

Background

The National Comprehensive Cancer Network (NCCN) guidelines recommend pelvic lymph node dissection (PLND) in NCCN high- and intermediate-risk prostate cancer patients. We tested for PLND nonadherence (no-PLND) rates within the Surveillance Epidemiology and End Results (2010-2015).

Materials and methods

We identified all radical prostatectomy patients who fulfilled the NCCN PLND guideline criteria (n = 23,495). Nonadherence rates to PLND were tabulated and further stratified according to NCCN risk subgroups, race/ethnicity, geographic distribution, and year of diagnosis.

Results

Overall, the no-PLND rate was 26%; it was 41%, 25%, and 11% in the NCCN intermediate favorable, intermediate unfavorable, and high-risk prostate cancer patients, respectively (p < 0.001). Over time, the no-PLND rates declined in the overall cohort and within each NCCN risk subgroup. Georgia exhibited the highest no-PLND rate (49%), whereas New Jersey exhibited the lowest (15%). Finally, no-PLND race/ethnicity differences were recorded only in the NCCN intermediate unfavorable subgroup, where Asians exhibited the lowest no-PLND rate (20%) versus African Americans (27%) versus Whites (26%) versus Hispanic-Latinos (25%).

Conclusions

The lowest no-PLND rates were recorded in the NCCN high-risk patients followed by NCCN intermediate unfavorable and favorable risk in that order. Our findings suggest that unexpectedly elevated differences in no-PLND rates warrant further examination. In all the NCCN risk subgroups, the no-PLND rates decreased over time.

Magnetic Resonance Imaging-Targeted Biopsy and Pretherapeutic Prostate Cancer Risk Assessment: a Systematic Review: Biopsie ciblée par Imagerie par résonance magnétique et évaluation pré-thérapeutique du risque de cancer de la prostate : revue systématique

INTRODUCTION

Multiparametric magnetic resonance imaging (MRI) has been included in prostate cancer (PCa) diagnostic pathway and may improve disease characterization. The aim of this systematic review is to assess the added value of MRI-targeted biopsy (TB) in pre-therapeutic risk assessment models over existing tools based on systematic biopsy (SB) for localized PCa.

EVIDENCE ACQUISITION

A systematic search was conducted using Pubmed (Medline), Scopus and ScienceDirect databases according to Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) statement. We included studies through October 2021 reporting on TB in pretherapeutic risk assessment models.

EVIDENCE SYNTHESIS

We identified 24 eligible studies including 24'237 patients for the systematic review. All included studies were retrospective and conducted in patients undergoing radical prostatectomy. Nine studies reported on the risk of extraprostatic extension, seven on the risk of lymph node invasion, three on the risk of biochemical recurrence and nine on the improvement of PCa risk stratification. Overall, the combination of TB with imaging, clinical and biochemical parameters outperformed current pretherapeutic risk assessment models. External validation studies are lacking for certain endpoints and the absence of standardization among TB protocols, including number of TB cores and fusion systems, may limit the generalizability of the results.

CONCLUSION

TB should be incorporated in pretherapeutic risk assessment models to improve clinical decision making. Further high-quality studies are required to determine models' generalizability while there is an urgent need to reach consensus on a standardized TB protocol. Long-term outcomes after treatment are also awaited to confirm the superiority of such models over classical risk classifications only based on SB. © 2022 Elsevier Masson SAS. All rights reserved.

External Validation and Comparison of Two Nomograms Predicting the Probability of Lymph Node Involvement in Patients subjected to Robot-Assisted Radical Prostatectomy and Concomitant Lymph Node Dissection: A Single Tertiary Center Experience in the MRI-Era

Introduction

To externally validate and directly compare the performance of the Briganti 2012 and Briganti 2019 nomograms as predictors of lymph node invasion (LNI) in a cohort of patients treated with robot-assisted radical prostatectomy (RARP) and extended pelvic lymph node dissection (ePLND).

Materials and Methods

After the exclusion of patients with incomplete biopsy, imaging, or clinical data, 752 patients who underwent RARP and ePLND between December 2014 to August 2021 at our center, were included. Among these patients, 327 (43.5%) had undergone multi-parametric MRI (mpMRI) and mpMRI-targeted biopsy. The preoperative risk of LNI was calculated for all patients using the Briganti 2012 nomogram, while the Briganti 2019 nomogram was used only in patients who had performed mpMRI with the combination of targeted and systematic biopsy. The performances of Briganti 2012 and 2019 models were evaluated using the area under the receiver-operating characteristics curve analysis, calibrations plot, and decision curve analysis.

Results

A median of 13 (IQR 9–18) nodes per patient was removed, and 78 (10.4%) patients had LNI at final pathology. The area under the curves (AUCs) for Briganti 2012 and 2019 were 0.84 and 0.82, respectively. The calibration plots showed a good correlation between the predicted probabilities and the observed proportion of LNI for both models, with a slight tendency to underestimation. The decision curve analysis (DCA) of the two models was similar, with a slightly higher net benefit for Briganti 2012 nomogram. In patients receiving both systematic- and targeted-biopsy, the Briganti 2012 accuracy was 0.85, and no significant difference was found between the AUCs of 2012 and 2019 nomograms (p = 0.296). In the sub-cohort of 518 (68.9%) intermediate-risk PCa patients, the Briganti 2012 nomogram outperforms the 2019 model in terms of accuracy (0.82 vs. 0.77), calibration curve, and net benefit at DCA.

Conclusion

The direct comparison of the two nomograms showed that the most updated nomogram, which included MRI and MRI-targeted biopsy data, was not significantly more accurate than the 2012 model in the prediction of LNI, suggesting a negligible role of mpMRI in the current population.

Predictors of complications occurring after open and robot-assisted prostate cancer surgery: a retrospective evaluation of 1062 consecutive patients treated in a tertiary referral high volume center

To investigate factors associated with the risk of major complications after radical prostatectomy (RP) by the open (ORP) or robot-assisted (RARP) approach for prostate cancer (PCa) in a tertiary referral center. 1062 consecutive patients submitted to RP were prospectively collected. The following outcomes were addressed: (1) overall postoperative complications: subjects with Clavien-Dindo System (CD) one through five versus cases without any complication; (2) moderate to major postoperative complications: cases with CD < 2 vs.  ≥ 2, and 3) major post-operative complications: subjects with CDS CD ≥  3 vs.  < 3. The association of pre-operative and intra-operative factors with the risk of postoperative complications was assessed by the logistic regression model. Overall, complications occurred in 310 out of 1062 subjects (29.2%). Major complications occurred in 58 cases (5.5%). On multivariate analysis, major complications were predicted by PCa surgery and intraoperative estimated blood loss (EBL). ORP compared to RARP increased the risk of major CD complications from 2.8 to 19.3% (OR = 8283; p < 0.0001). Performing ePLND increased the risk of major complications from 2.4 to 7.4% (OR = 3090; p < 0.0001). Assessing intraoperative blood loss, the risk of major postoperative complications was increased by BL above the third quartile when compared to subjects with intraoperative blood loss up to the third quartile (10.2% vs. 4.6%; OR = 2239; 95%CI: 1233-4064). In the present cohort, radical prostatectomy showed major postoperative complications that were independently predicted by the open approach, extended lymph-node dissection, and excessive intraoperative blood loss.

Endogenous testosterone density is an independent predictor of pelvic lymph node invasion in high-risk prostate cancer: results in 201 consecutive patients treated with radical prostatectomy and extended pelvic lymph node dissection

Objective

To evaluate the influence of endogenous testosterone density (ETD) on pelvic lymph node invasion (PLNI) in high risk (HR) prostate cancer (PCa) treated with radical prostatectomy (RP) and staged with extended pelvic lymph node dissection (ePLND).

Materials and methods

ETD was evaluated as the ratio of endogenous testosterone (ET) on prostate volume (PV). HR-PCa was assessed according to the European Association of Urology (EAU) system. The association of ETD and other routinely clinical factors (BPC: percentage of biopsy positive cores; PSA: prostate specific antigen; ISUP: tumor grade system according to the International Society of Urologic Pathology; cT: tumor clinical stage) with the risk of PLNI was assessed by the logistic regression model.

Results

Overall, 201 out of 805 patients (24.9%) were classified HR and PLNI occurred in 42 subjects (20.9%). On multivariate analysis, PLNI was independently predicted by BPC (OR 1.020; 95% CI 1.006–1.035; p = 0.019), ISUP > 3 (OR 2.621; 95% CI 1.170–5.869; p = 0.019) and ETD (OR 0.932; 95% CI 0.870–0.999; p = 0.045). After categorizing continuous clinical predictors, the risk of PLNI was independently increased by ETD up to the median (OR 2.379; 95% CI 1.134–4.991; p = 0.022), BPC > 50% (OR 3.125; 95% CI 1.520–6.425; p = 0.002) as well as by ISUP > 3 (OR 2.219; 95% CI 1.031–4.776; p = 0.042).

Conclusions

As ETD measurements decreased, patients were more likely to have PLNI. In HR disease with PLNI, the influence of PCa on ETD should be addressed by higher level studies.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11255-022-03103-w.

Artificial Intelligence Combined With Big Data to Predict Lymph Node Involvement in Prostate Cancer: A Population-Based Study

Background

A more accurate preoperative prediction of lymph node involvement (LNI) in prostate cancer (PCa) would improve clinical treatment and follow-up strategies of this disease. We developed a predictive model based on machine learning (ML) combined with big data to achieve this.

Methods

Clinicopathological characteristics of 2,884 PCa patients who underwent extended pelvic lymph node dissection (ePLND) were collected from the U.S. National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2015. Eight variables were included to establish an ML model. Model performance was evaluated by the receiver operating characteristic (ROC) curves and calibration plots for predictive accuracy. Decision curve analysis (DCA) and cutoff values were obtained to estimate its clinical utility.

Results

Three hundred and forty-four (11.9%) patients were identified with LNI. The five most important factors were the Gleason score, T stage of disease, percentage of positive cores, tumor size, and prostate-specific antigen levels with 158, 137, 128, 113, and 88 points, respectively. The XGBoost (XGB) model showed the best predictive performance and had the highest net benefit when compared with the other algorithms, achieving an area under the curve of 0.883. With a 5%~20% cutoff value, the XGB model performed best in reducing omissions and avoiding overtreatment of patients when dealing with LNI. This model also had a lower false-negative rate and a higher percentage of ePLND was avoided. In addition, DCA showed it has the highest net benefit across the whole range of threshold probabilities.

Conclusions

We established an ML model based on big data for predicting LNI in PCa, and it could lead to a reduction of approximately 50% of ePLND cases. In addition, only ≤3% of patients were misdiagnosed with a cutoff value ranging from 5% to 20%. This promising study warrants further validation by using a larger prospective dataset.

Assessment of oncological and functional outcomes of retropubic radical prostatectomy: An academic center experience

PURPOSE

To report perioperative, pathological, oncological and functional outcomes of a contemporary series of retropubic radical prostatectomy (RRP), performed by one experienced surgeon.

METHODS

We analyzed data from a prospectively gathered database of consecutive patients who were treated by an RRP as first-line treatment for localized prostate cancer, from January 2014 to December 2019, in a single French academic center.

RESULTS

Overall, 364 patients were included. Median age and PSA were 65.7 years and 8.0ng/mL. According to D'Amico risk classification, 13.7% patients had a low-risk prostate cancer, 41.5% a favorable intermediate-risk, 23.4% an unfavorable intermediate-risk and 21.4% a high-risk prostate cancer. The rates of pT2 and pT3 were 48.6% (n=177) and 51.4% (n=187), respectively. The rates of non-nerve sparing surgery (NSS), unilateral NSS and bilateral NSS were 19.5% (n=71), 32.7% (n=119) and 47.8% (n=174). Total positive surgical margin (PSM) rate was 12.6% (n=46). Total pT2 PSM and pT3 PSM rates were 0.6% (n=1) and 24.1% (n=45) and achieved a statistical difference (P<0.001). At a median follow-up of 1.9-year, biochemical recurrence (BCR) occurred in 47 (12,9%) patients. Extracapsular extension was associated with a poor BCR-free survival as compared to organ confined disease (P<0.0001). At 2.7 years of follow-up, urinary continence rate was 88% (322/364). After exclusion of non-NSS RRP and non-interpretable questionnaires (score 1-4), median IIEF-5 score was 16 (8-20).

CONCLUSION

Retropubic radical prostatectomy ensures optimal pathological and functional results, in a current predominantly population of intermediate-risk prostate cancer and high-risk prostate cancer.

LEVEL OF EVIDENCE

3.

External validation of the Briganti 2019 nomogram to identify candidates for extended pelvic lymph node dissection among patients with high-risk clinically localized prostate cancer

Background

We aimed to establish an external validation of the Briganti 2019 nomogram in a Japanese cohort to preoperatively evaluate the probability of lymph node invasion in patients with high-risk, clinically localized prostate cancer.

Methods

The cohort consisted of 278 patients with prostate cancer diagnosed using magnetic resonance imaging-targeted biopsy who underwent radical prostatectomy and extended pelvic lymph node dissection from 2012 to 2020. Patients were rated using the Briganti 2019 nomogram, which evaluates the probability of lymph node invasion. We used the area under curve of the receiver operating characteristic analysis to quantify the accuracy of the nomogram.

Results

Nineteen (6.8%) patients had lymph node invasion. The median number of lymph nodes removed was 18. The area under the curve for the Briganti 2019 was 0.71. When the cutoff was set at 7%, 84 (30.2%) patients with extended pelvic lymph node dissection could be omitted, and only 1 (1.2%) patient with lymph node invasion would be missed. Sensitivity, specificity, and negative predictive values at the 7% cutoff were 94.7, 32.0, and 98.8%, respectively.

Conclusion

This external validation showed that the Briganti 2019 nomogram was accurate, although there may still be scope for individual adjustments.

External validation of the Memorial Sloan Kettering Cancer Centre and Briganti nomograms for the prediction of lymph node involvement of prostate cancer using clinical stage assessed by magnetic resonance imaging

OBJECTIVES

To evaluate the impact of using clinical stage assessed by multiparametric magnetic resonance imaging (mpMRI) on the performance of two established nomograms for the prediction of pelvic lymph node involvement (LNI) in patients with prostate cancer.

PATIENTS AND METHODS

Patients undergoing robot-assisted extended pelvic lymph node dissection (ePLND) from 2015 to 2019 at three teaching hospitals were retrospectively evaluated. Risk of LNI was calculated four times for each patient, using clinical tumour stage (T-stage) assessed by digital rectal examination (DRE) and by mpMRI, in the Memorial Sloan Kettering Cancer Centre (MSKCC; 2018) and Briganti (2012) nomograms. Discrimination (area under the curve [AUC]), calibration, and the net benefit of these four strategies were assessed and compared.

RESULTS

A total of 1062 patients were included, of whom 301 (28%) had histologically proven LNI. Using DRE T-stage resulted in AUCs of 0.71 (95% confidence interval [CI] 0.70-0.72) for the MSKCC and 0.73 (95% CI 0.72-0.74) for the Briganti nomogram. Using mpMRI T-stage, the AUCs were 0.72 (95% CI 0.71-0.73) for the MSKCC and 0.75 (95% CI 0.74-0.76) for the Briganti nomogram. mpMRI T-stage resulted in equivalent calibration compared with DRE T-stage. Combined use of mpMRI T-stage and the Briganti 2012 nomogram was shown to be superior in terms of AUC, calibration, and net benefit. Use of mpMRI T-stage led to increased sensitivity for the detection of LNI for all risk thresholds in both models, countered by a decreased specificity, compared with DRE T-stage.

CONCLUSION

T-stage as assessed by mpMRI is an appropriate alternative for T-stage assessed by DRE to determine nomogram-based risk of LNI in patients with prostate cancer, and was associated with improved model performance of both the MSKCC 2018 and Briganti 2012 nomograms.

Deep learning approach to predict lymph node metastasis directly from primary tumour histology in prostate cancer

OBJECTIVE

To develop a new digital biomarker based on the analysis of primary tumour tissue by a convolutional neural network (CNN) to predict lymph node metastasis (LNM) in a cohort matched for already established risk factors.

PATIENTS AND METHODS

Haematoxylin and eosin (H&E) stained primary tumour slides from 218 patients (102 N+; 116 N0), matched for Gleason score, tumour size, venous invasion, perineural invasion and age, who underwent radical prostatectomy were selected to train a CNN and evaluate its ability to predict LN status.

RESULTS

With 10 models trained with the same data, a mean area under the receiver operating characteristic curve (AUROC) of 0.68 (95% confidence interval [CI] 0.678-0.682) and a mean balanced accuracy of 61.37% (95% CI 60.05-62.69%) was achieved. The mean sensitivity and specificity was 53.09% (95% CI 49.77-56.41%) and 69.65% (95% CI 68.21-71.1%), respectively. These results were confirmed via cross-validation. The probability score for LNM prediction was significantly higher on image sections from N+ samples (mean [SD] N+ probability score 0.58 [0.17] vs 0.47 [0.15] N0 probability score, P = 0.002). In multivariable analysis, the probability score of the CNN (odds ratio [OR] 1.04 per percentage probability, 95% CI 1.02-1.08; P = 0.04) and lymphovascular invasion (OR 11.73, 95% CI 3.96-35.7; P < 0.001) proved to be independent predictors for LNM.

CONCLUSION

In our present study, CNN-based image analyses showed promising results as a potential novel low-cost method to extract relevant prognostic information directly from H&E histology to predict the LN status of patients with prostate cancer. Our ubiquitously available technique might contribute to an improved LN status prediction.