Literature DB >> 31651533

Learning Curve From 450 Cases of Robot-Assisted Pancreaticoduocectomy in a High-Volume Pancreatic Center: Optimization of Operative Procedure and a Retrospective Study.

Yusheng Shi1, Weishen Wang1, Weihua Qiu1, Shulin Zhao1, Jian Wang2, Yuanchi Weng1, Zhen Huo1, Jiabin Jin1, Yue Wang1, Xiaxing Deng1, Baiyong Shen1, Chenghong Peng1.   

Abstract

OBJECTIVE: We aimed to describe our experience and the learning curve of 450 cases of robot-assisted pancreaticoduodenectomy (RPD) and optimize the surgical process so that our findings can be useful for surgeons starting to perform RPD. SUMMARY BACKGROUND DATA: Robotic surgical systems were first introduced 20 years ago. Pancreaticoduodenectomy (PD) is a challenging surgery because of its technical difficulty. RPD may overcome some of these difficulties.
METHODS: The medical records of 450 patients who underwent RPD between May 2010 and December 2018 at the Shanghai Ruijin Hospital were retrospectively analyzed. Operative times and estimated blood loss (EBL) were analyzed and the learning curve was determined. A cumulative sum (CUSUM) analysis was used to identify the inflexion points. Other postoperative outcomes, postoperative complications, and long-term follow-up were also analyzed.
RESULTS: Operative time improved graduallyovertimefrom405.4 ± 112.9 minutes (case 1-50) to 273.6 ± 70 minutes (case 301-350) (P < 0.001). EBL improved from 410 ± 563.5 mL (case 1-50) to 149.0 ± 103.3 mL (case 351-400) (P< 0.001). According to the CUSUM curve, there were 3 phases in the RPD learning curve. The inflexion points were around cases 100 and 250. The incidence of pancreatic leak in the last 350 cases was significantly lower than that in the first 100 cases (30.0% vs 15.1%, P = 0.003).
CONCLUSIONS: RPD is safe and feasible for selected patients. Operative and oncologic outcomes were much improved after experience of 250 cases. Our optimization of the surgical process may have also contributed to this. Future prospective and randomized studies are needed to confirm our results.
Copyright © 2019 Wolters Kluwer Health, Inc. All rights reserved.

Entities:  

Mesh:

Year:  2021        PMID: 31651533     DOI: 10.1097/SLA.0000000000003664

Source DB:  PubMed          Journal:  Ann Surg        ISSN: 0003-4932            Impact factor:   12.969


  14 in total

1.  Special Issue Robotics in Surgery and Endoscopy.

Authors:  Tobias Keck; Ugo Boggi; Thilo Hackert; Jens Werner
Journal:  Visc Med       Date:  2020-03-16

2.  Impact of the transection plan on postoperative pancreatic fistulas occurring after robot-assisted distal pancreatectomy for nonmalignant pancreatic neoplasms.

Authors:  Lihan Qian; Binwei Hu; Jiancheng Wang; Xiongxiong Lu; Xiaxing Deng; Weimin Chai; Zhiwei Xu; Weishen Wang; Baiyong Shen
Journal:  Surg Endosc       Date:  2022-08-08       Impact factor: 3.453

3.  Establishment and Application of a Novel Difficulty Scoring System for da Vinci Robotic Pancreatoduodenectomy.

Authors:  Hongfa Sun; Chuandong Sun; Bingyuan Zhang; Kai Ma; Zehua Wu; Brendan C Visser; Bing Han
Journal:  Front Surg       Date:  2022-06-01

4.  Robot-Assisted Pancreatic Surgery: A Structured Approach to Standardization of a Program and of the Operation.

Authors:  Charlotte Friederieke Müller-Debus; Michael Thomaschewski; Markus Zimmermann; Ulrich F Wellner; Dirk Bausch; Tobias Keck
Journal:  Visc Med       Date:  2020-03-17

5.  Perioperative outcomes of robotic pancreaticoduodenectomy: a single surgeon's experience with 55 consecutive cases.

Authors:  Ronggui Lin; Xianchao Lin; Maoen Pan; Fengchun Lu; Yuanyuan Yang; Congfei Wang; Haizong Fang; Yanchang Chen; Heguang Huang
Journal:  Gland Surg       Date:  2021-01

6.  Robotic-assisted versus open total pancreatectomy: a propensity score-matched study.

Authors:  Yuanchi Weng; Mengmin Chen; Georgios Gemenetzis; Yusheng Shi; Xiayang Ying; Xiaxing Deng; Chenghong Peng; Jiabin Jin; Baiyong Shen
Journal:  Hepatobiliary Surg Nutr       Date:  2020-12       Impact factor: 7.293

7.  Formal robotic training diminishes the learning curve for robotic pancreatoduodenectomy: Implications for new programs in complex robotic surgery.

Authors:  Carl R Schmidt; Britney R Harris; Kelsey A Musgrove; Pavan Rao; J Wallis Marsh; Alan A Thomay; Melissa E Hogg; Herbert J Zeh; Amer H Zureikat; Brian A Boone
Journal:  J Surg Oncol       Date:  2020-11-02       Impact factor: 3.454

8.  Short-term Outcomes After Robot-Assisted vs Open Pancreaticoduodenectomy After the Learning Curve.

Authors:  Yusheng Shi; Jiabin Jin; Weihua Qiu; Yuanchi Weng; Jian Wang; Shulin Zhao; Zhen Huo; Kai Qin; Yue Wang; Hao Chen; Xiaxing Deng; Chenghong Peng; Baiyong Shen
Journal:  JAMA Surg       Date:  2020-05-01       Impact factor: 14.766

9.  Short-term outcomes after minimally invasive versus open pancreaticoduodenectomy in elderly patients: a propensity score-matched analysis.

Authors:  Shih-Min Yin; Yueh-Wei Liu; Yu-Yin Liu; Chee-Chien Yong; Chih-Chi Wang; Wei-Feng Li; Cheng-Hsi Yeh
Journal:  BMC Surg       Date:  2021-01-25       Impact factor: 2.102

Review 10.  Multiple Endocrine Neoplasia Type 1: Latest Insights.

Authors:  Maria Luisa Brandi; Sunita K Agarwal; Nancy D Perrier; Kate E Lines; Gerlof D Valk; Rajesh V Thakker
Journal:  Endocr Rev       Date:  2021-03-15       Impact factor: 19.871

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.