When Should a Positive Surgical Margin Ring a Bell? An Analysis of a Multi-Institutional Robot-Assisted Laparoscopic Radical Prostatectomy Database

2016 ◽  
Vol 30 (2) ◽  
pp. 201-207 ◽  
Author(s):  
Firas Abdollah ◽  
Marco Moschini ◽  
Akshay Sood ◽  
Jesse Sammon ◽  
Deepansh Dalela ◽  
...  
Keyword(s):  
Radical Prostatectomy ◽  
Surgical Margin ◽  
Laparoscopic Radical Prostatectomy ◽  
Positive Surgical Margin ◽  
Robot Assisted

scholarly journals Positive surgical margin rates during the robot-assisted laparoscopic radical prostatectomy learning curve of an experienced laparoscopic surgeon

2017 ◽  
Vol 11 (11) ◽  
pp. E409-13 ◽  
Author(s):  
Anthony F. Adili ◽  
Julia Di Giovanni ◽  
Emma Kolesar ◽  
Nathan C. Wong ◽  
Jen Hoogenes ◽  
...  
Keyword(s):  
Radical Prostatectomy ◽  
Learning Curve ◽  
Surgical Margin ◽  
Margin Status ◽  
Laparoscopic Radical Prostatectomy ◽  
Positive Surgical Margin ◽  
Robot Assisted ◽  
Estimated Blood Loss ◽  
The Mean ◽  
The Impact

Introduction: Since its introduction, robot-assisted laparoscopic radical prostatectomy (RARP) has gained widespread popularity, but is associated with a variable learning curve. Herein, we report the positive surgical margin (PSM) rates during the RARP learning curve of a single surgeon with significant previous laparoscopic radical prostatectomy (LRP) experience.Methods: We performed a prospective cohort study of the first 400 men with prostate cancer treated with RARP by a single surgeon (BS) with significant LRP experience. Our primary outcome was the impact of case timing in the learning curve on margin status. Our analysis was conducted by dividing the case numbers into quartiles (Q1‒Q4) and determining if a case falling into an earlier quartile had an impact on margin status relative to the most recent quartile (Q4).Results: The Q1 cases had an odds ratio for margin positivity of 1.74 compared to Q4 (p=0.1). Multivariate logistic regression did not demonstrate case number to be a significant predictor of PSM. The mean Q1 operative time was 207.4 minutes, decreasing to 179.2 by Q4 (p<0.0001). The mean Q1 estimated blood loss was 255.1 ml, decreasing to 213.6 by Q4 (p=0.0064). There was no change in length of hospitalization within the study period.Conclusions: Even when controlling for copredictors, a statistically significant learning curve for PSM rate of a surgeon with significant previous LRP experience was not detected during the first 400 RARP cases. We hypothesize that previous LRP experience may reduce the RARP PSM learning curve.

Patients with prior TURP undergoing robot-assisted laparoscopic radical prostatectomy have higher positive surgical margin rates

2008 ◽  
Vol 2 (4) ◽  
pp. 213-216 ◽  
Author(s):  
Lance Hampton ◽  
Rebecca A. Nelson ◽  
Roger Satterthwaite ◽  
Timothy Wilson ◽  
Laura Crocitto
Keyword(s):  
Radical Prostatectomy ◽  
Surgical Margin ◽  
Laparoscopic Radical Prostatectomy ◽  
Positive Surgical Margin ◽  
Robot Assisted

scholarly journals Prediction of a positive surgical margin and biochemical recurrence after robot-assisted radical prostatectomy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ching-Wei Yang ◽  
Hsiao-Hsien Wang ◽  
Mohamed Fayez Hassouna ◽  
Manish Chand ◽  
William J. S. Huang ◽  
...  
Keyword(s):  
Radical Prostatectomy ◽  
Biochemical Recurrence ◽  
Multivariable Analysis ◽  
Specific Antigen ◽  
Surgical Margin ◽  
Asian Population ◽  
Nerve Sparing ◽  
Positive Surgical Margin ◽  
Robot Assisted ◽  
Surgeon Experience

AbstractThe positive surgical margin (PSM) and biochemical recurrence (BCR) are two main factors associated with poor oncotherapeutic outcomes after prostatectomy. This is an Asian population study based on a single-surgeon experience to deeply investigate the predictors for PSM and BCR. We retrospectively included 419 robot-assisted radical prostatectomy cases. The number of PSM cases was 126 (30.1%), stratified as 22 (12.2%) in stage T2 and 103 (43.6%) in stage T3. Preoperative prostate-specific antigen (PSA) > 10 ng/mL (p = 0.047; odds ratio [OR] 1.712), intraoperative blood loss > 200 mL (p = 0.006; OR 4.01), and postoperative pT3 stage (p < 0.001; OR 6.901) were three independent predictors for PSM while PSA > 10 ng/mL (p < 0.015; hazard ratio [HR] 1.8), pT3 stage (p = 0.012; HR 2.264), International Society of Urological Pathology (ISUP) grade > 3 (p = 0.02; HR 1.964), and PSM (p = 0.027; HR 1.725) were four significant predictors for BCR in multivariable analysis. PSMs occurred mostly in the posterolateral regions (73.8%) which were associated with nerve-sparing procedures (p = 0.012) while apical PSMs were correlated intraoperative bleeding (p < 0.001). A high ratio of pT3 stage after RARP in our Asian population-based might surpass the influence of PSM on BCR. PSM was less significant than PSA and ISUP grade for predicting PSA recurrence in pT3 disease. Among PSM cases, unifocal and multifocal positive margins had a similar ratio of the BCR rate (p = 0.172) but ISUP grade > 3 (p = 0.002; HR 2.689) was a significant BCR predictor. These results indicate that PSA and pathological status are key factors influencing PSM and BCR.

Positive Surgical Margin Trends In Patients With Pathologic T3 Prostate Cancer Treated With Robot Assisted Radical Prostatectomy

2014 ◽  
pp. 150127063130004 ◽  
Author(s):  
Andrew J. Lightfoot ◽  
Yu-Kai Su ◽  
Shailen Shivam Sehgal ◽  
Ziho Lee ◽  
Giovanni H. Greaves ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Radical Prostatectomy ◽  
Surgical Margin ◽  
Positive Surgical Margin ◽  
Robot Assisted
Sign in / Sign up

Export Citation Format

Share Document