Literature DB >> 27638373

The advanced learning curve in robotic prostatectomy: a multi-institutional survey.

Hugh J Lavery1, David B Samadi2, Rahul Thaly3, David Albala4, Thomas Ahlering5, Arieh Shalhav6, Peter Wiklund7, Ashutosh Tewari8, Randy Fagin9, Anthony J Costello10, Geoff Coughlin11, Vipul R Patel11.   

Abstract

Several studies have attempted to define the learning curve associated with robot-assisted laparoscopic prostatectomy (RALP). These studies have focused on the acquisition of skills by novice robotic surgeons. It is unclear, however, if basic proficiency can be equated with satisfactory patient outcomes. We surveyed experienced robotic surgeons with high surgical volume in an attempt to define an "advanced" learning curve, relating to proficiency and outcomes with the robotic procedure. A questionnaire was designed to evaluate the learning curve of the RALP from basic to advanced techniques. High-volume, experienced surgeons were asked to complete this questionnaire on the basis of their personal experience with the RALP procedure. Nine institutions participated in the study accounting for a total case volume of 6,276. Median surgeon experience was 460 cases (range 325-1,500); median total operative and robotic time were 165 and 105 min, respectively. Median time to "basic proficiency" with the robot was 40 cases; proficiency in more challenging cases was approached after a median of 50 cases. Surgical outcomes were deemed satisfactory to the surgeon for continence, potency, and surgical margins after a median of 100, 200, and 300 procedures, respectively. These data confirm previous studies that basic proficiency with the robotic system occurs relatively quickly, after 25-40 cases. Obtaining "satisfactory outcomes" took substantially longer, from 100 to 300 cases. Satisfactory outcomes regarding surgical margins and potency took longer to obtain than continence, likely reflecting the relative complexity of cancer control and nerve-sparing compared with the vesico-urethral anastomosis.

Entities:  

Keywords:  Laparoscopy; Learning curve; Radical prostatectomy; Robotic

Year:  2009        PMID: 27638373     DOI: 10.1007/s11701-009-0154-6

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


  7 in total

1.  Laparoscopic and robot assisted radical prostatectomy: establishment of a structured program and preliminary analysis of outcomes.

Authors:  Mani Menon; Alok Shrivastava; Ashutosh Tewari; Richard Sarle; Ashok Hemal; James O Peabody; Guy Vallancien
Journal:  J Urol       Date:  2002-09       Impact factor: 7.450

2.  Successful transfer of open surgical skills to a laparoscopic environment using a robotic interface: initial experience with laparoscopic radical prostatectomy.

Authors:  Thomas E Ahlering; Douglas Skarecky; David Lee; Ralph V Clayman
Journal:  J Urol       Date:  2003-11       Impact factor: 7.450

3.  Robotic-assisted laparoscopic prostatectomy: what is the learning curve?

Authors:  S Duke Herrell; Joseph A Smith
Journal:  Urology       Date:  2005-11       Impact factor: 2.649

4.  Laparoscopic radical prostatectomy: initial short-term experience.

Authors:  W W Schuessler; P G Schulam; R V Clayman; L R Kavoussi
Journal:  Urology       Date:  1997-12       Impact factor: 2.649

5.  Robotic radical prostatectomy in the community setting--the learning curve and beyond: initial 200 cases.

Authors:  Vipul R Patel; A S Tully; R Holmes; J Lindsay
Journal:  J Urol       Date:  2005-07       Impact factor: 7.450

6.  Robotic radical prostatectomy learning curve of a fellowship-trained laparoscopic surgeon.

Authors:  Kevin C Zorn; Marcelo A Orvieto; Edward M Gong; Albert A Mikhail; Ofer N Gofrit; Gregory P Zagaja; Arieh L Shalhav
Journal:  J Endourol       Date:  2007-04       Impact factor: 2.942

7.  The surgical learning curve for prostate cancer control after radical prostatectomy.

Authors:  Andrew J Vickers; Fernando J Bianco; Angel M Serio; James A Eastham; Deborah Schrag; Eric A Klein; Alwyn M Reuther; Michael W Kattan; J Edson Pontes; Peter T Scardino
Journal:  J Natl Cancer Inst       Date:  2007-07-24       Impact factor: 13.506

  7 in total
  6 in total

1.  Robotic-assisted laparoscopic prostatectomy (RALP): a new way to training.

Authors:  Raphael Rocha; Rossano Kepler Alvim Fiorelli; Gilberto Buogo; Maurício Rubistein; Rogério Moraes Mattos; Rodrigo Frota; Rafael Ferreira Coelho; Kenneth Palmer; Vipul Patel
Journal:  J Robot Surg       Date:  2015-12-11

2.  Which skills really matter? proving face, content, and construct validity for a commercial robotic simulator.

Authors:  Calvin Lyons; David Goldfarb; Stephen L Jones; Niraj Badhiwala; Brian Miles; Richard Link; Brian J Dunkin
Journal:  Surg Endosc       Date:  2013-02-07       Impact factor: 4.584

3.  Cryopreserved placental tissue allograft accelerates time to continence following robot-assisted radical prostatectomy.

Authors:  Peter A Elliott; Stephanie Hsiang; Ramkishen Narayanan; James Bierylo; Shu-Ching Chang; Przemyslaw Twardowski; Timothy G Wilson
Journal:  J Robot Surg       Date:  2021-01-11

4.  Two-year quality of life after robot-assisted radical prostatectomy according to pentafecta criteria and cancer of the prostate risk assessment (CAPRA-S).

Authors:  Theodoros Karagiotis; Jorn H Witt; Thomas Jankowski; Mikolaj Mendrek; Christian Wagner; Andreas Schuette; Nikolaos Liakos; Pawel Rachubinski; Katarina Urbanova; Matthias Oelke; Mykyta Kachanov; Sami-Ramzi Leyh-Bannurah
Journal:  Sci Rep       Date:  2022-01-07       Impact factor: 4.379

5.  Improvement in early continence after introduction of periurethral suspension stitch in robotic prostatectomy.

Authors:  Erling Aarsæther; Marius Roaldsen; Tore Knutsen; Hiten R Patel; Bård Soltun
Journal:  J Robot Surg       Date:  2020-10-14

6.  Analysis of Learning Curve in Robot-Assisted Radical Prostatectomy Performed by a Surgeon.

Authors:  Roman I Slusarenco; Konstantin V Mikheev; Artem O Prostomolotov; Roman B Sukhanov; Evgeny A Bezrukov
Journal:  Adv Urol       Date:  2020-05-26
  6 in total

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