Literature DB >> 25277477

Learning curve for robotic-assisted surgery for rectal cancer: use of the cumulative sum method.

Tomohiro Yamaguchi1, Yusuke Kinugasa, Akio Shiomi, Sumito Sato, Yushi Yamakawa, Hiroyasu Kagawa, Hiroyuki Tomioka, Keita Mori.   

Abstract

BACKGROUND: Few data are available to assess the learning curve for robotic-assisted surgery for rectal cancer. The aim of the present study was to evaluate the learning curve for robotic-assisted surgery for rectal cancer by a surgeon at a single institute.
METHODS: From December 2011 to August 2013, a total of 80 consecutive patients who underwent robotic-assisted surgery for rectal cancer performed by the same surgeon were included in this study. The learning curve was analyzed using the cumulative sum method. This method was used for all 80 cases, taking into account operative time.
RESULTS: Operative procedures included anterior resections in 6 patients, low anterior resections in 46 patients, intersphincteric resections in 22 patients, and abdominoperineal resections in 6 patients. Lateral lymph node dissection was performed in 28 patients. Median operative time was 280 min (range 135-683 min), and median blood loss was 17 mL (range 0-690 mL). No postoperative complications of Clavien-Dindo classification Grade III or IV were encountered. We arranged operative times and calculated cumulative sum values, allowing differentiation of three phases: phase I, Cases 1-25; phase II, Cases 26-50; and phase III, Cases 51-80.
CONCLUSIONS: Our data suggested three phases of the learning curve in robotic-assisted surgery for rectal cancer. The first 25 cases formed the learning phase.

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Year:  2014        PMID: 25277477     DOI: 10.1007/s00464-014-3855-5

Source DB:  PubMed          Journal:  Surg Endosc        ISSN: 0930-2794            Impact factor:   4.584


  26 in total

1.  Telerobotic-assisted laparoscopic right and sigmoid colectomies for benign disease.

Authors:  Philip A Weber; Stephen Merola; Annette Wasielewski; Garth H Ballantyne
Journal:  Dis Colon Rectum       Date:  2002-12       Impact factor: 4.585

2.  Comparison of robotically performed and traditional laparoscopic colorectal surgery.

Authors:  Conor P Delaney; A Craig Lynch; Anthony J Senagore; Victor W Fazio
Journal:  Dis Colon Rectum       Date:  2003-12       Impact factor: 4.585

3.  Postoperative morbidity and mortality after mesorectal excision with and without lateral lymph node dissection for clinical stage II or stage III lower rectal cancer (JCOG0212): results from a multicentre, randomised controlled, non-inferiority trial.

Authors:  Shin Fujita; Takayuki Akasu; Junki Mizusawa; Norio Saito; Yusuke Kinugasa; Yukihide Kanemitsu; Masayuki Ohue; Shoichi Fujii; Manabu Shiozawa; Takashi Yamaguchi; Yoshihiro Moriya
Journal:  Lancet Oncol       Date:  2012-05-15       Impact factor: 41.316

4.  Results of a multicenter study of 1,057 cases of rectal cancer treated by laparoscopic surgery.

Authors:  Nobuyoshi Miyajima; Masaki Fukunaga; Hirotoshi Hasegawa; Jun-ichi Tanaka; Junji Okuda; Masahiko Watanabe
Journal:  Surg Endosc       Date:  2008-09-19       Impact factor: 4.584

5.  The multiphasic learning curve for robot-assisted rectal surgery.

Authors:  Kevin Kaity Sng; Masayasu Hara; Jae-Won Shin; Byung-Eun Yoo; Kyung-Sook Yang; Seon-Hahn Kim
Journal:  Surg Endosc       Date:  2013-03-19       Impact factor: 4.584

6.  Indication and benefit of pelvic sidewall dissection for rectal cancer.

Authors:  Kenichi Sugihara; Hirotoshi Kobayashi; Tomoyuki Kato; Takeo Mori; Hidetaka Mochizuki; Shingo Kameoka; Kazuo Shirouzu; Tetsuichiro Muto
Journal:  Dis Colon Rectum       Date:  2006-11       Impact factor: 4.585

7.  Short-term endpoints of conventional versus laparoscopic-assisted surgery in patients with colorectal cancer (MRC CLASICC trial): multicentre, randomised controlled trial.

Authors:  Pierre J Guillou; Philip Quirke; Helen Thorpe; Joanne Walker; David G Jayne; Adrian M H Smith; Richard M Heath; Julia M Brown
Journal:  Lancet       Date:  2005 May 14-20       Impact factor: 79.321

8.  Multidimensional analysis of the learning curve for laparoscopic resection in rectal cancer.

Authors:  In Ja Park; Gyu-Seog Choi; Kyoung Hoon Lim; Byung Mo Kang; Soo Han Jun
Journal:  J Gastrointest Surg       Date:  2008-10-22       Impact factor: 3.452

9.  The learning curve for the laparoscopic approach to conservative mesorectal excision for rectal cancer: lessons drawn from a single institution's experience.

Authors:  Thierry Bege; Bernard Lelong; Benjamin Esterni; Olivier Turrini; Jerôme Guiramand; Daniel Francon; Djamel Mokart; Gilles Houvenaeghel; Marc Giovannini; Jean Robert Delpero
Journal:  Ann Surg       Date:  2010-02       Impact factor: 12.969

10.  Advantages and limits of robot-assisted laparoscopic surgery: preliminary experience.

Authors:  F Corcione; C Esposito; D Cuccurullo; A Settembre; N Miranda; F Amato; F Pirozzi; P Caiazzo
Journal:  Surg Endosc       Date:  2004-11-18       Impact factor: 4.584

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  44 in total

1.  Robotic-assisted vs. conventional laparoscopic surgery for rectal cancer: short-term outcomes at a single center.

Authors:  Tomohiro Yamaguchi; Yusuke Kinugasa; Akio Shiomi; Hiroyuki Tomioka; Hiroyasu Kagawa; Yushi Yamakawa
Journal:  Surg Today       Date:  2015-10-19       Impact factor: 2.549

2.  Robotic-assisted laparoscopic versus open lateral lymph node dissection for advanced lower rectal cancer.

Authors:  Tomohiro Yamaguchi; Yusuke Kinugasa; Akio Shiomi; Hiroyuki Tomioka; Hiroyasu Kagawa
Journal:  Surg Endosc       Date:  2015-06-20       Impact factor: 4.584

3.  Effects of robotic rectal surgery on sexual and urinary functions in male patients.

Authors:  Shinji Ozeki; Kotaro Maeda; Tsunekazu Hanai; Koji Masumori; Hidetoshi Katsuno; Hiroshi Takahashi
Journal:  Surg Today       Date:  2015-07-22       Impact factor: 2.549

Review 4.  An appraisal of the learning curve in robotic general surgery.

Authors:  Luise I M Pernar; Faith C Robertson; Ali Tavakkoli; Eric G Sheu; David C Brooks; Douglas S Smink
Journal:  Surg Endosc       Date:  2017-04-14       Impact factor: 4.584

5.  Prior experience in laparoscopic rectal surgery can minimise the learning curve for robotic rectal resections: a cumulative sum analysis.

Authors:  Manfred Odermatt; Jamil Ahmed; Sofoklis Panteleimonitis; Jim Khan; Amjad Parvaiz
Journal:  Surg Endosc       Date:  2017-03-07       Impact factor: 4.584

6.  Is right colectomy a complete learning procedure for a robotic surgical program?

Authors:  Paolo Raimondi; Francesco Marchegiani; Massimo Cieri; Annadomenica Cichella; Roberto Cotellese; Paolo Innocenti
Journal:  J Robot Surg       Date:  2017-05-12

Review 7.  A review on robotic surgery in rectal cancer.

Authors:  Zairul Azwan Mohd Azman; Seon-Hahn Kim
Journal:  Transl Gastroenterol Hepatol       Date:  2016-03-16

8.  Learning curve and clinical outcome of gastric endoscopic submucosal dissection performed by trainee operators.

Authors:  Masao Yoshida; Naomi Kakushima; Keita Mori; Kimihiro Igarashi; Noboru Kawata; Masaki Tanaka; Kohei Takizawa; Sayo Ito; Kenichiro Imai; Kinichi Hotta; Hirotoshi Ishiwatari; Hiroyuki Matsubayashi; Hiroyuki Ono
Journal:  Surg Endosc       Date:  2016-12-30       Impact factor: 4.584

9.  Oncological outcomes of robotic-assisted laparoscopic versus open lateral lymph node dissection for locally advanced low rectal cancer.

Authors:  Tomohiro Yamaguchi; Yusuke Kinugasa; Akio Shiomi; Hiroyasu Kagawa; Yushi Yamakawa; Akinobu Furutani; Shoichi Manabe; Yusuke Yamaoka; Hitoshi Hino
Journal:  Surg Endosc       Date:  2018-05-02       Impact factor: 4.584

10.  Does prolonged operative time impact postoperative morbidity in patients undergoing robotic-assisted rectal resection for cancer?

Authors:  E Duchalais; N Machairas; S R Kelley; R G Landmann; A Merchea; D T Colibaseanu; K L Mathis; E J Dozois; D W Larson
Journal:  Surg Endosc       Date:  2018-03-15       Impact factor: 4.584

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