An updated approach to incremental nerve sparing for robot-assisted radical prostatectomy.

OBJECTIVES: To update the algorithm for performing incremental nerve sparing (NS) using our multiparametric magnetic resonance imaging (mpMRI)-based nomogram. PATIENTS AND METHODS: We applied the coefficients of the nomogram to the observations extracted from our population of patients who underwent robot-assisted radical prostatectomy between February 2014 and October 2015 and who received preoperative mpMRI. The information considered were PSA level, highest side-specific biopsy Gleason grade group, highest ipsilateral percentage core involvement with the highest Gleason grade group, and extracapsular extension (ECE) on mpMRI. The nomogram-derived probability [P (%)], after internal validation, was used as the independent variable on a classification tree to identify the most significant thresholds for ECE prediction. Incremental NS was performed as follows: Grade 1 NS: intrafascial dissection between the peri-prostatic veins and the pseudocapsule of the prostate; Grade 2 NS: inter-fascial dissection along the peri-venous plane; Grade 3 NS: inter-fascial dissection through the outer compartment of the lateral prostatic fascia; Grade 4 NS: extrafascial dissection. RESULTS: Data from 561 patients were considered, and 829 prostatic lobes with biopsy-documented tumour were analysed. Overall, 142 lobes presented ECE that was focal in 27 (19%) cases. The classification tree identified four risk categories. In the low- [P (%) ≤10], intermediate- [P (%) 10-21], high [P (%) 21-73] and very-high-risk [P(%) >73] groups, the ECE rates were 3.3%, 16%, 61.6% and 90%, respectively. Amongst those, ECE was focal in 41.7%, 31.7%, 7.9% and 0%, respectively. CONCLUSION: We suggest that Grade 1 NS (intrafascial) should be performed in the low-risk group. The inter-fascial approach, namely grades 2 and 3 NS, should be performed in the intermediate- and high-risk categories, respectively. Grade 4 NS (extrafascial) should be performed in the very-high-risk group. The current algorithm yields a better accuracy than the previous one; however, prospective validation is warranted.

A transcriptomic signature of tertiary Gleason 5 predicts worse clinicopathological outcome.

OBJECTIVE: To investigate the genomic features of tertiary pattern 5 (TP5) on radical prostatectomy specimens in an effort to explain the poor clinical outcomes associated with this disease subtype. PATIENTS AND METHODS: Data from 159 men with Gleason Grade Group (GGG) 3 or 4 were considered. All patients had Decipher diagnostic testing with transcript profiles and single-channel array normalisation (SCAN)-normalised expression of coding genes. The relationship between Decipher and TP5 was investigated by linear and binary logistic regressions. A differential transcriptomic analysis between patients with and without TP5 was performed. The prognostic role of these genes on progression-free survival (PFS) and overall survival (OS) was evaluated using The Cancer Genome Atlas. RESULTS: In all, 52/159 (33%) patients had GGG 3-4 with TP5 disease. TP5 was associated with a higher Decipher score (ß 0.07, 95% confidence interval [CI] 0.02-0.13; P = 0.04) and higher likelihood of falling within the intermediate- or high-risk categories (odds ratio 3.34, 95% CI 1.34-8.35; P = 0.01). Analysis of microarray data revealed an 18-gene signature that was differentially expressed in patients with TP5; 13 genes were over- and five under-expressed in the TP5 cohort. The overexpression of cyclin dependent kinase inhibitor 2B (CDKN2B), polo-like kinase 1 (PLK1), or cell division cycle 20 (CDC20) was associated with worse PFS. The group harbouring overexpression of at least one gene had a 5-year PFS rate of 50% vs 74% in the group without overexpression (P < 0.001). CONCLUSIONS: Our studies have elucidated unique genomic features of TP5, whilst confirming previous clinical findings that patients harbouring TP5 tend to have worse prognosis. This is the first RNA-based study to investigate the molecular diversity of TP5 and the first correlating CDKN2B to poorer prognosis in patients with prostate cancer.

Novel nomogram for the prediction of seminal vesicle invasion including multiparametric magnetic resonance imaging.

OBJECTIVES: To create a model that predicts side-specific seminal vesicle invasion using clinical, biopsy and multiparametric magnetic resonance imaging data. METHODS: We analyzed data from 544 patients who underwent robot-assisted radical prostatectomy at a single institution. To develop a side-specific predictive model, we ultimately considered four variables: prostate-specific antigen, highest ipsilateral biopsy Gleason grade, highest ipsilateral percentage core involvement and seminal vesicle invasion on multiparametric magnetic resonance imaging. A binary multivariable logistic regression model was fitted to predict seminal vesicle invasion. A nomogram was then built based on the coefficients of the resulting logit function. The leave-one-out cross validation method was used for internal validation, and the decision curve analysis for the evaluation of the net clinical benefit. RESULTS: We relied on 804 side-specific cases after excluding negative biopsy observations (n = 284). Seminal vesicle invasion was reported on multiparametric magnetic resonance imaging in 41 (5%) cases, and on final pathology in 64 (8%) cases. All variables in the model emerged as predictors of seminal vesicle invasion (all P ≤ 0.001) and were subsequently considered to build a nomogram. The area under the curve of multiparametric magnetic resonance imaging alone in predicting seminal vesicle invasion was 59.1%; whereas one of the clinical variables only was 85.1%. The area under the curve of the nomogram resulting from their combination was 86.5%. After internal validation, this resulted in 84.7%. The model achieved good calibration and the decision curve analysis showed its clinical benefit, especially when compared with relying only on multiparametric magnetic resonance imaging prediction of seminal vesicle invasion. CONCLUSIONS: A nomogram based on clinical and multiparametric magnetic resonance imaging data can predict seminal vesicle invasion and serve as a tool to urologists for surgical planning.

Development and internal validation of a side-specific, multiparametric magnetic resonance imaging-based nomogram for the prediction of extracapsular extension of prostate cancer.

OBJECTIVES: To develop a nomogram for predicting side-specific extracapsular extension (ECE) for planning nerve-sparing radical prostatectomy. MATERIALS AND METHODS: We retrospectively analysed data from 561 patients who underwent robot-assisted radical prostatectomy between February 2014 and October 2015. To develop a side-specific predictive model, we considered the prostatic lobes separately. Four variables were included: prostate-specific antigen; highest ipsilateral biopsy Gleason grade; highest ipsilateral percentage core involvement; and ECE on multiparametric magnetic resonance imaging (mpMRI). A multivariable logistic regression analysis was fitted to predict side-specific ECE. A nomogram was built based on the coefficients of the logit function. Internal validation was performed using 'leave-one-out' cross-validation. Calibration was graphically investigated. The decision curve analysis was used to evaluate the net clinical benefit. RESULTS: The study population consisted of 829 side-specific cases, after excluding negative biopsy observations (n = 293). ECE was reported on mpMRI and final pathology in 115 (14%) and 142 (17.1%) cases, respectively. Among these, mpMRI was able to predict ECE correctly in 57 (40.1%) cases. All variables in the model except highest percentage core involvement were predictors of ECE (all P ≤ 0.006). All variables were considered for inclusion in the nomogram. After internal validation, the area under the curve was 82.11%. The model demonstrated excellent calibration and improved clinical risk prediction, especially when compared with relying on mpMRI prediction of ECE alone. When retrospectively applying the nomogram-derived probability, using a 20% threshold for performing nerve-sparing, nine out of 14 positive surgical margins (PSMs) at the site of ECE resulted above the threshold. CONCLUSION: We developed an easy-to-use model for the prediction of side-specific ECE, and hope it serves as a tool for planning nerve-sparing radical prostatectomy and in the reduction of PSM in future series.

Clinical implications of prostatic capsular abutment or bulging on multiparametric magnetic resonance imaging.

BACKGROUND: The presence of capsular abutment or bulging can raise concern when planning surgery. In this study we aimed to test the clinical implications of capsular abutment or bulging on preoperative multiparametric magnetic resonance imaging (mpMRI). METHODS: We analyzed the data of 291 patients who underwent radical prostatectomy (RP) for a cT1-2N0 prostate cancer in a single surgeon series. All patients underwent preoperative staging with mpMRI. PIRADS v2 was used for characterizing lesions. The role of capsular abutment or bulging was tested in a multivariable logistic regression adjusting for prostate-specific antigen and highest ipsilateral biopsy Gleason grade. The presence of focal versus extensive extracapsular extension (ECE) was investigated. RESULTS: Overall, ECE on final pathology was documented in 35 (12%) cases and ECE was focal in 32 (91%) patients. Overall, mpMRI demonstrated capsule bulging or abutment in 12 (24%) cases. After adjusting for confounders, capsule bulging or abutment on mpMRI emerged as predictor for ECE (OR=6.70; 95% CI: 2.97-15.12, P<0.001). The sensitivity and specificity of capsule abutment or bulging in predicting ECE were 43% and 95%, respectively. Sensitivity and specificity were 36% and 48% respectively to predict focal ECE. CONCLUSIONS: The PIRADS v2 scoring system has a grey zone concerning ECE as defined by capsule abutment or bulging. We found an increased risk of ECE and specifically focal ECE when capsule bulging or abutment on mpMRI are documented.

Office CO2 laser turbinoplasty.

We conducted a prospective study of office carbon dioxide (CO(2)) laser turbinoplasty as a treatment for symptoms related to turbinate dysfunction in 58 patients. All patients completed surveys before and 1 month after treatment, and 23 patients completed longer-term follow-up surveys 8 to 24 months postoperatively. The 1-month postoperative assessments demonstrated a trend toward symptom improvement, as many patients reported a decrease in their use of pretreatment medications. Long-term benefit was achieved in 70% of patients. Ten patients underwent pre- and post-treatment biopsies, and histologic evaluation demonstrated minimal tissue alteration following treatment, alleviating concerns of physiological and functional compromise. We conclude that office-based CO(2) laser turbinoplasty is a useful tool for the treatment of disorders related to turbinate dysfunction. We describe one clinician's method of performing office CO(2) laser turbinoplasty, and we report his experience and findings.

Yttrium-90 microspheres (TheraSphere) treatment of unresectable hepatocellular carcinoma: downstaging to resection, RFA and bridge to transplantation.

PURPOSE: To present the clinical data of 35 patients with T3 unresectable hepatocellular carcinoma (HCC) that were treated with (90)Y with the specific intent of downstaging to resection, radiofrequency ablation (RFA) candidate, United Network for Organ Sharing (UNOS) stage T2 or liver transplantation. MATERIALS AND METHODS: One hundred fifty patients with unresectable HCC were treated with (90)Y microspheres. Of these, 35 patients were UNOS stage T3 at the time of treatment. Patients were followed for clinical toxicities, alterations in model for end-stage-liver disease (MELD) score, tumor response, downstaging to RFA, resection, transplantation, and survival. RESULTS: Nineteen of 34 patients (56%) were successfully downstaged from T3 to T2 following treatment. 11 of 34 (32%) patients treated were downstaged to target lesions measuring 3.0 cm or less. Twenty-three of 35 (66%) were downstaged to either T2 status, lesion < 3.0 cm (RFA candidate), or resection. Seventeen of 34 (50%) had an objective tumor response by WHO criteria. Eight patients (23%) were successfully downstaged and underwent OLT following treatment. 1, 2, and 3-year survival was 84%, 54%, and 27%, respectively. Median survival by Kaplan-Meier analysis for the entire cohort was 800 days. CONCLUSION: These data suggest that intra-arterial (90)Y microspheres can be used as a bridge to transplantation, surgical resection, or RFA.