Literature DB >> 29253186

A study of the learning curve for robotic oesophagectomy for oesophageal cancer.

Samina Park1, Kwanyong Hyun1, Hyun Joo Lee1, In Kyu Park1, Young Tae Kim1, Chang Hyun Kang1.   

Abstract

OBJECTIVES: Robot-assisted minimally invasive oesophagectomy (RAMIE) enables radical, meticulous dissection of the oesophagus and lymph nodes. Our goal was to identify the effect of the learning curve for RAMIE when performing radical upper mediastinal dissection in patients with oesophageal cancer.
METHODS: We conducted a retrospective review of a prospectively maintained database of patients who underwent RAMIE for oesophageal cancer between May 2008 and July 2016. The gain in proficiency for each postoperative outcome measure was presented using observed-expected cumulative sum (O-E CUSUM) curves. The change points were defined at the maximal distance from the zero axis.
RESULTS: A total of 140 patients were included. Squamous cell carcinoma (n = 131, 93.6%) was the dominant type. Thirty-day and 90-day deaths occurred in 1 and 5 patients (0.7% and 3.6%, respectively). The change points of the risk-adjusted O-E CUSUM curves were similar to those of the unadjusted O-E CUSUM curves with the exception of those for thoracic procedure time and vocal cord palsy. The number of harvested lymph nodes increased from 25 to 45 before and after 30 cases. The vocal cord palsy rate decreased from 36% to 17% before and after 60 cases. The total operation time decreased from 496 min to 431 min; the length of the hospital stay decreased from 24 days to 14 days; and the anastomotic leakage rate decreased from 15% to 2% before and after 80 cases.
CONCLUSIONS: Our study demonstrated a temporal improvement in postoperative outcomes based on accumulated experience with RAMIE. The risk-adjusted O-E CUSUM curves were similar to the unadjusted O-E CUSUM curves, which represents the significant impact of the effect of a learning period on the postoperative outcomes of RAMIE in patients with oesophageal cancer.

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Year:  2018        PMID: 29253186     DOI: 10.1093/ejcts/ezx440

Source DB:  PubMed          Journal:  Eur J Cardiothorac Surg        ISSN: 1010-7940            Impact factor:   4.191


  10 in total

Review 1.  Robotic-assisted minimally invasive esophagectomy: past, present and future.

Authors:  Gijsbert I van Boxel; B Feike Kingma; Frank J Voskens; Jelle P Ruurda; Richard van Hillegersberg
Journal:  J Thorac Dis       Date:  2020-02       Impact factor: 2.895

2.  Robot-assisted minimally invasive esophagectomy (RAMIE): tips and tricks from the bedside assistant view-expert experiences.

Authors:  S van der Horst; C Voli; I A Polanco; R van Hillegersberg; J P Ruurda; B Park; D Molena
Journal:  Dis Esophagus       Date:  2020-11-26       Impact factor: 3.429

3.  Lower Incidence of Postoperative Pulmonary Complications Following Robot-Assisted Minimally Invasive Esophagectomy for Esophageal Cancer: Propensity Score-Matched Comparison to Conventional Minimally Invasive Esophagectomy.

Authors:  Shigeru Tsunoda; Kazutaka Obama; Shigeo Hisamori; Tatsuto Nishigori; Ryosuke Okamura; Hisatsugu Maekawa; Yoshiharu Sakai
Journal:  Ann Surg Oncol       Date:  2020-09-05       Impact factor: 5.344

Review 4.  Robot-Assisted Minimally Invasive Esophagectomy versus Open Esophagectomy for Esophageal Cancer: A Systematic Review and Meta-Analysis.

Authors:  Stepan M Esagian; Ioannis A Ziogas; Konstantinos Skarentzos; Ioannis Katsaros; Georgios Tsoulfas; Daniela Molena; Michalis V Karamouzis; Ioannis Rouvelas; Magnus Nilsson; Dimitrios Schizas
Journal:  Cancers (Basel)       Date:  2022-06-29       Impact factor: 6.575

5.  Outcomes after total robotic esophagectomy for esophageal cancer: a propensity-matched comparison with hybrid robotic esophagectomy.

Authors:  Kwon Joong Na; Samina Park; In Kyu Park; Young Tae Kim; Chang Hyun Kang
Journal:  J Thorac Dis       Date:  2019-12       Impact factor: 2.895

6.  Learning curve of uniportal video-assisted thoracoscopic lobectomy: an analysis of the proficiency of 538 cases from a single centre.

Authors:  Wen-Hao Li; Hua Cheng; Xiang-Feng Gan; Xiao-Jian Li; Xiao-Jin Wang; Xiang-Wen Wu; Hong-Cheng Zhong; Tian-Chi Wu; Wen-Wen Huo; Shao-Long Ju; Liang-Zhan Lv; Qing-Dong Cao
Journal:  Interact Cardiovasc Thorac Surg       Date:  2022-05-02

Review 7.  Essential Updates 2018/2019: Essential Updates for esophageal cancer surgery.

Authors:  Yasuyuki Seto
Journal:  Ann Gastroenterol Surg       Date:  2020-02-18

8.  Lymph node dissection around left recurrent laryngeal nerve: robot-assisted vs. video-assisted McKeown esophagectomy for esophageal squamous cell carcinoma.

Authors:  Xiaofeng Duan; Jie Yue; Chuangui Chen; Lei Gong; Zhao Ma; Xiaobin Shang; Zhentao Yu; Hongjing Jiang
Journal:  Surg Endosc       Date:  2020-10-26       Impact factor: 4.584

9.  From McKeown to Ivor Lewis, the learning curve for thoracic lymphadenectomy over the first 100 robotic esophagectomy cases: a retrospective study.

Authors:  Ze-Guo Zhuo; Gang Li; Tie-Niu Song; Gu-Ha Alai; Xu Shen; Yun Wang; Yi-Dan Lin
Journal:  J Thorac Dis       Date:  2021-03       Impact factor: 2.895

10.  <Editors' Choice> Learning curve of robotic lobectomy for lung malignancies by certified thoracic surgeons.

Authors:  Takayuki Fukui; Koji Kawaguchi; Hideki Tsubouchi; Harushi Ueno; Tomoshi Sugiyama; Shunsuke Mori; Masaki Goto; Naoki Ozeki; Shuhei Hakiri; Shota Nakamura; Toyofumi Fengshi Chen-Yoshikawa
Journal:  Nagoya J Med Sci       Date:  2021-05       Impact factor: 1.131

  10 in total

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