Literature DB >> 35226289

A multi-surgeon learning curve analysis of overall and site-specific positive surgical margins after RARP and implications for training.

Carlo Gandi1, Angelo Totaro2, Riccardo Bientinesi2, Filippo Marino2, Francesco Pierconti3, Maurizio Martini3, Andrea Russo4, Marco Racioppi2, PierFrancesco Bassi2, Emilio Sacco2.   

Abstract

Robot-assisted radical prostatectomy (RARP) is the most adopted treatment for localized prostate cancer. The aim of this study was to explore the learning curves (LC) for overall and site-specific positive surgical margins (PSM) occurrence after RARP of multiple surgeons within a step-structured mentor-initiated training program. The study included consecutive patients undergoing RARP between January 2013 and March 2020, by three surgeons: a mentor and his two trainees. Prospectively collected patients' data were retrospectively analyzed. The cumulative summation (CUSUM) method was used to generate the LCs, with turning points indicating the number of cases to reach proficiency levels. Furthermore, the association between PSM and surgical experience was evaluated, adjusting for case mix. A total of 761 consecutive patients were included, 370 treated by the Mentor surgeon, 247 and 144 treated, respectively, by the two Trainees. Mentor and Trainees had similar PSM rates (31.6% vs 28.0% vs 31.3%, p = 0.6). CUSUM charts showed different LC shapes for different PSM locations (postero-lateral, bladder neck, apex, and multifocal/> 3 mm). Surgical experience was significantly associated with overall, postero-lateral, and multifocal/> 3 mm PSMs, in the Mentor series only. Trainees reached their turning points after far fewer cases then the Mentor, both for overall (12 and 31 vs 153), postero-lateral (24 and 30 vs 120), and multifocal/> 3 mm PSMs (9 and 31 vs 153). The achievement of stable SM proficiency takes involved different LCs depending on the prostatic location being considered. Monitoring site-specific LC can indicate the surgical steps for which there may be still room for further technical refinements, even when an apparent proficiency status seems achieved.
© 2022. The Author(s).

Entities:  

Keywords:  Learning curve; Positive surgical margin; Prostate cancer; RARP; Robotic prostatectomy; Training

Year:  2022        PMID: 35226289     DOI: 10.1007/s11701-022-01378-w

Source DB:  PubMed          Journal:  J Robot Surg        ISSN: 1863-2483


  33 in total

1.  Urinary incontinence after radical prostatectomy: incidence by definition, risk factors and temporal trend in a large series with a long-term follow-up.

Authors:  Emilio Sacco; Tommaso Prayer-Galetti; Francesco Pinto; Simonetta Fracalanza; Giovanni Betto; Francesco Pagano; Walter Artibani
Journal:  BJU Int       Date:  2006-06       Impact factor: 5.588

2.  Oncologic Outcomes After Robot-assisted Radical Prostatectomy: A Large European Single-centre Cohort with Median 10-Year Follow-up.

Authors:  Prabhakar Rajan; Anna Hagman; Prasanna Sooriakumaran; Tommy Nyberg; Anna Wallerstedt; Christofer Adding; Olof Akre; Stefan Carlsson; Abolfazl Hosseini; Mats Olsson; Lars Egevad; Fredrik Wiklund; Gunnar Steineck; N Peter Wiklund
Journal:  Eur Urol Focus       Date:  2016-11-02

Review 3.  The importance of surgical margins in prostate cancer.

Authors:  Prasanna Sooriakumaran; Harveer S Dev; Douglas Skarecky; Thomas Ahlering
Journal:  J Surg Oncol       Date:  2016-03-23       Impact factor: 3.454

4.  Perioperative outcomes of robot-assisted radical prostatectomy compared with open radical prostatectomy: results from the nationwide inpatient sample.

Authors:  Quoc-Dien Trinh; Jesse Sammon; Maxine Sun; Praful Ravi; Khurshid R Ghani; Marco Bianchi; Wooju Jeong; Shahrokh F Shariat; Jens Hansen; Jan Schmitges; Claudio Jeldres; Craig G Rogers; James O Peabody; Francesco Montorsi; Mani Menon; Pierre I Karakiewicz
Journal:  Eur Urol       Date:  2011-12-22       Impact factor: 20.096

5.  Positive surgical margins in robotic-assisted radical prostatectomy: impact of learning curve on oncologic outcomes.

Authors:  Fatih Atug; Erik P Castle; Sudesh K Srivastav; Scott V Burgess; Raju Thomas; Rodney Davis
Journal:  Eur Urol       Date:  2006-03-10       Impact factor: 20.096

6.  Cumulative summation graphs are a useful tool for monitoring positive surgical margin rates in robot-assisted radical prostatectomy.

Authors:  Andrew K Williams; Venu Chalasani; Carlos H Martínez; Erica Osbourne; Larry Stitt; Jonathan I Izawa; Stephen E Pautler
Journal:  BJU Int       Date:  2010-09-29       Impact factor: 5.588

7.  Clinical and pathological characteristics of patients presenting with biochemical progression after radical retropubic prostatectomy for pathologically organ-confined prostate cancer.

Authors:  F Pinto; T Prayer-Galetti; M Gardiman; E Sacco; M Ciaccia; S Fracalanza; G Betto; F Pagano
Journal:  Urol Int       Date:  2006       Impact factor: 2.089

8.  Robot-assisted laparoscopic prostatectomy: a single-institutions learning curve.

Authors:  Jamison Jaffe; Sean Castellucci; Xavier Cathelineau; Justin Harmon; François Rozet; Eric Barret; Guy Vallancien
Journal:  Urology       Date:  2008-10-26       Impact factor: 2.649

9.  First 500 cases of robotic-assisted laparoscopic radical prostatectomy from a single UK centre: learning curves of two surgeons.

Authors:  Naomi Laura Sharma; Alexandros Papadopoulos; Dominic Lee; John McLoughlin; Sarah L Vowler; Herve Baumert; Anne Y Warren; Vishal Patil; Nimish Shah; David E Neal
Journal:  BJU Int       Date:  2010-12-16       Impact factor: 5.588

10.  Development of a standardised training curriculum for robotic surgery: a consensus statement from an international multidisciplinary group of experts.

Authors:  Kamran Ahmed; Reenam Khan; Alexandre Mottrie; Catherine Lovegrove; Ronny Abaza; Rajesh Ahlawat; Thomas Ahlering; Goran Ahlgren; Walter Artibani; Eric Barret; Xavier Cathelineau; Ben Challacombe; Patrick Coloby; Muhammad S Khan; Jacques Hubert; Maurice Stephan Michel; Francesco Montorsi; Declan Murphy; Joan Palou; Vipul Patel; Pierre-Thierry Piechaud; Hendrik Van Poppel; Pascal Rischmann; Rafael Sanchez-Salas; Stefan Siemer; Michael Stoeckle; Jens-Uwe Stolzenburg; Jean-Etienne Terrier; Joachim W Thüroff; Christophe Vaessen; Henk G Van Der Poel; Ben Van Cleynenbreugel; Alessandro Volpe; Christian Wagner; Peter Wiklund; Timothy Wilson; Manfred Wirth; Jörn Witt; Prokar Dasgupta
Journal:  BJU Int       Date:  2015-03-23       Impact factor: 5.588

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