Literature DB >> 25699364

Minimizing operative time for robotic gastrectomy in cancer: analysis of the major factors for four detailed steps.

Myung-Han Hyun, Jin-Woo Park, Doo-Sup Shin, Jun-Min Cho, Kyung-Sook Yang, Sungsoo Park.   

Abstract

BACKGROUND/AIMS: We outlined the major factors for minimizing the operative time of robotic-assisted gastrectomy (RAG) during the initial learning period.
METHODOLOGY: We performed correlation analysis and multivariate linear regression for detailed operation steps including preparing, docking, console and anastomosis time.
RESULTS: Forty patients underwent RAG for cancer. By Pearson analysis, case number (r = -0.313; P = 0.049) and body mass index (BMI) (r = 0.368; P = 0.019) were found to be correlated with total operation time. Multivariate linear regression with backward elimination showed that BMI and case number significantly affected total operation time. A detailed four-step analysis showed that docking time was significantly affected by intraoperative complications.
CONCLUSIONS: In conclusion, we recommend a V-shape port placement as an important surgical factor for preparation and docking time to avoid unnecessary intraoperative trial errors. In addition, selecting lower-BMI patients would be helpful in shortening the time to mastery of console, which is the most time consuming operative step of the robotic procedure for robotic-naive surgeons.

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Year:  2014        PMID: 25699364

Source DB:  PubMed          Journal:  Hepatogastroenterology        ISSN: 0172-6390


  2 in total

Review 1.  Robotic gastrectomy for gastric cancer.

Authors:  Masanori Tokunaga; Akio Kaito; Shizuki Sugita; Masahiro Watanabe; Hideki Sunagawa; Takahiro Kinoshita
Journal:  Transl Gastroenterol Hepatol       Date:  2017-06-02

2.  Teaching and learning robotic surgery at the dual console: a video-based qualitative analysis.

Authors:  Hélène Cristofari; Minoa Karin Jung; Nadja Niclauss; Christian Toso; Laure Kloetzer
Journal:  J Robot Surg       Date:  2021-03-16
  2 in total

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