Literature DB >> 18462513

Pathologic outcomes during the learning curve for robotic-assisted laparoscopic radical prostatectomy.

Amul Shah1, Onisuru T Okotie, Lee Zhao, Michael R Pins, Vishal Bhalani, Daniel P Dalton.   

Abstract

OBJECTIVE: We report our initial experience with 62 patients undergoing robotic-assisted laparoscopic prostatectomy (RALP), focusing on the primary parameter of positive surgical margins. The authors demonstrate that excellent oncologic outcomes can be attained with a less steep learning curve than previously hypothesized.
MATERIALS AND METHODS: The first 62 patients undergoing RALP by a single physician (DPD) at our institution between November 2005 and August 2007 were retrospectively assessed. Surgical pathology records were reviewed for Gleason score, pathologic tumor stage, nodal status, location of prostate cancer within the specimen, extracapsular extension, surgical margin status, presence of perineural invasion, tumor volume, and weight of the surgical specimen. Margin status was determined using surgical specimens only, and not intraoperative frozen sections. All cases in this series were completed using the four-arm da Vinci Robotic System (Intuitive Surgical, Sunnyvale, California).
RESULTS: Sixty-one patients had prostate cancer on their final surgical pathology specimens. Pathologic stage T2 and stage T3 patients were 88.7% and 9.7% of all cases, respectively. The pathologic Gleason score was 7 or greater in 62.3%. Our overall positive surgical margin rate was 3.3%. Patients with pathologic T2 and T3 disease had a positive surgical margin rate of 1.8% and 16.7%, respectively.
CONCLUSIONS: Our study suggests that RALP can have equal if not better pathologic outcomes compared to open radical prostatectomy even during the initial series of cases. We argue that the learning curve for RALP is shorter than previously thought with respect to oncologic outcomes, and concerns asserting that lack of tactile feedback leads to poor oncologic outcomes are unfounded.

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Year:  2008        PMID: 18462513     DOI: 10.1590/s1677-55382008000200005

Source DB:  PubMed          Journal:  Int Braz J Urol        ISSN: 1677-5538            Impact factor:   1.541


  4 in total

Review 1.  Review of surgical robotics user interface: what is the best way to control robotic surgery?

Authors:  Anton Simorov; R Stephen Otte; Courtni M Kopietz; Dmitry Oleynikov
Journal:  Surg Endosc       Date:  2012-02-21       Impact factor: 4.584

Review 2.  Diffusion of robotics into clinical practice in the United States: process, patient safety, learning curves, and the public health.

Authors:  Hossein S Mirheydar; J Kellogg Parsons
Journal:  World J Urol       Date:  2012-12-29       Impact factor: 4.226

3.  Does robot-assisted laparoscopic radical prostatectomy enable to obtain adequate oncological and functional outcomes during the learning curve? From the Korean experience.

Authors:  Young Hwii Ko; Jeong Hyeon Ban; Seok Ho Kang; Hong Seok Park; Jeong Gu Lee; Duck Ki Yoon; Je Jong Kim; Jun Cheon; Vipul R Patel
Journal:  Asian J Androl       Date:  2009-01-19       Impact factor: 3.285

4.  Posterior reconstruction before anastomosis improves the anastomosis time during robot-assisted radical prostatectomy.

Authors:  Aaron M Bernie; Arthur A Caire; Sarah P Conley; Mathew Oommen; Ugur Boylu; Raju Thomas; Benjamin R Lee
Journal:  JSLS       Date:  2010 Oct-Dec       Impact factor: 2.172

  4 in total

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