Literature DB >> 23834506

Learning curve and perioperative outcomes of robot-assisted radical prostatectomy in 200 initial Japanese cases by a single surgeon.

Takeshi Hashimoto1, Kunihiko Yoshioka, Tatsuo Gondo, Naohiro Kamoda, Naoya Satake, Choichiro Ozu, Yutaka Horiguchi, Kazunori Namiki, Jun Nakashima, Masaaki Tachibana.   

Abstract

PURPOSE: The aim of the present study was to investigate the learning curve and perioperative outcomes in 200 consecutive patients with prostate cancer who underwent robot-assisted radical prostatectomy (RARP). PATIENTS AND METHODS: Between August 2006 and August 2011, 200 patients with prostate cancer underwent RARP and were enrolled in this study. We prospectively collected the demographic data and analyzed the pathologic and functional outcomes. The operative outcomes analyzed were total operative time, estimated blood loss (EBL), positive surgical margin (PSM), incontinence, and perioperative complications. We also evaluated the relationship between the surgeon's experience and operative variables.
RESULTS: The sloping learning curve for this surgeon showed that total operative time was strongly correlated with the accumulation of experience for the initial 25 cases (|rs|=0.71, P<0.001). The average EBL was not strongly correlated with additional experience (|rs|<0.7). The PSM rate for the first 50 cases was significantly higher than that of the next 150 cases (34.8% vs 19.4%, P=0.035). The complication rate among the first 50 patients was significantly higher than that among the remaining 150 patients (32% vs 12.7%, P=0.002). The incontinence rate at 12 months was significantly higher for the first 100 cases compared with that for the next 100 cases (9.0% vs 1.0%, P=0.009). For the surgeon to optimize total operative time, PSM rate, complication rate, and incontinence rate, slope learning curves of 25, 50, 50, and 100 cases were needed.
CONCLUSIONS: The functional and pathologic results of this minimally invasive procedure seemed to be promising. Distinct learning curves were observed with respect to operative time, PSM, complication rate, and incontinence rate. Exposure to 100 surgeries would be necessary for a surgeon to adequately master the required skills.

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Year:  2013        PMID: 23834506     DOI: 10.1089/end.2013.0235

Source DB:  PubMed          Journal:  J Endourol        ISSN: 0892-7790            Impact factor:   2.942


  13 in total

1.  Adding a newly trained surgeon into a high-volume robotic prostatectomy group: are outcomes compromised?

Authors:  Luchen Wang; Mireya Diaz; Hans Stricker; James O Peabody; Mani Menon; Craig G Rogers
Journal:  J Robot Surg       Date:  2016-06-27

2.  A systematic review of the learning curve in robotic surgery: range and heterogeneity.

Authors:  I Kassite; T Bejan-Angoulvant; H Lardy; A Binet
Journal:  Surg Endosc       Date:  2018-09-28       Impact factor: 4.584

3.  Development of a surgical training model for bilateral axillo-breast approach robotic thyroidectomy.

Authors:  Hyeong Won Yu; Jin Wook Yi; Chan Yong Seong; Jong-Kyu Kim; In Eui Bae; Hyungju Kwon; Young Jun Chai; Su-Jin Kim; June Young Choi; Kyu Eun Lee
Journal:  Surg Endosc       Date:  2017-08-25       Impact factor: 4.584

4.  Robotic radical prostatectomy in 93 cases: Outcomes of the first ERUS robotic urology curriculum trained surgeon in Turkey.

Authors:  Fevzi Bedir; Murat Keske; Şaban Oğuz Demirdöğen; Hüseyin Kocatürk; Erdem Koç; Abdullah Erdem Canda; Ali Fuat Atmaca
Journal:  Turk J Urol       Date:  2019-02-04

Review 5.  Learning curves in laparoscopic and robot-assisted prostate surgery: a systematic search and review.

Authors:  Nikolaos Grivas; Ioannis Zachos; Georgios Georgiadis; Markos Karavitakis; Vasilis Tzortzis; Charalampos Mamoulakis
Journal:  World J Urol       Date:  2021-09-04       Impact factor: 3.661

6.  Impact of a preoperatively estimated prostate volume using transrectal ultrasonography on surgical and oncological outcomes in a single surgeon's experience with robot-assisted radical prostatectomy.

Authors:  Yosuke Hirasawa; Yoshio Ohno; Jun Nakashima; Kenji Shimodaira; Takeshi Hashimoto; Tatsuo Gondo; Makoto Ohori; Masaaki Tachibana; Kunihiko Yoshioka
Journal:  Surg Endosc       Date:  2015-11-17       Impact factor: 4.584

7.  Oncological outcomes following robotic-assisted radical prostatectomy in a multiracial Asian population.

Authors:  Low Wei Xiang Alvin; Sim Hong Gee; Huang Hong Hong; Cheng Wai Sam Christopher; Ho Sien Sun Henry; Lau Kam On Weber; Tan Puay Hoon; Lee Lui Shiong
Journal:  J Robot Surg       Date:  2015-07-07

8.  Lower urinary tract symptoms (LUTS) before and after robotic-assisted laparoscopic prostatectomy: does improvement of LUTS mitigate worsened incontinence after robotic prostatectomy?

Authors:  Lukas Dommer; Jan A Birzele; Khosrow Ahmadi; Mario Rampa; Daniel J Stekhoven; Räto T Strebel
Journal:  Transl Androl Urol       Date:  2019-08

9.  Transurethral marking incision of the bladder neck: a helpful technique in robot-assisted laparoscopic radical prostatectomy involving post-transurethral resection of the prostate and cancers protruding into the bladder neck.

Authors:  Satoshi Kurokawa; Keiichi Tozawa; Yukihiro Umemoto; Takahiro Yasui; Kentaro Mizuno; Atsushi Okada; Noriyasu Kawai; Yutaro Hayashi; Kenjiro Kohri
Journal:  BMC Urol       Date:  2013-08-17       Impact factor: 2.264

10.  New steps of robot-assisted radical prostatectomy using the extraperitoneal approach: a propensity-score matched comparison between extraperitoneal and transperitoneal approach in Japanese patients.

Authors:  Satoshi Kurokawa; Yukihiro Umemoto; Kentaro Mizuno; Atsushi Okada; Akihiro Nakane; Hidenori Nishio; Shuzo Hamamoto; Ryosuke Ando; Noriyasu Kawai; Keiichi Tozawa; Yutaro Hayashi; Takahiro Yasui
Journal:  BMC Urol       Date:  2017-11-21       Impact factor: 2.264

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