Literature DB >> 28734971

Robotic Assistance Confers Ambidexterity to Laparoscopic Surgeons.

Souzana Choussein1, Serene S Srouji1, Leslie V Farland2, Ashley Wietsma3, Stacey A Missmer4, Michael Hollis3, Richard N Yu3, Charles N Pozner5, Antonio R Gargiulo6.   

Abstract

STUDY
OBJECTIVE: To examine whether a robotic surgical platform can complement the fine motor skills of the nondominant hand, compensating for the innate difference in dexterity between surgeon's hands, thereby conferring virtual ambidexterity.
DESIGN: Crossover intervention study (Canadian Task Force classification II-1).
SETTING: Centers for medical simulation in 2 tertiary care hospitals of Harvard Medical School. PARTICIPANTS: Three groups of subjects were included: (1) surgical novices (medical graduates with no robotic/laparoscopic experience); (2) surgeons in training (postgraduate year 3-4 residents and fellows with intermediate robotic and laparoscopic experience); and (3) advanced surgeons (attending surgeons with extensive robotic and laparoscopic experience).
INTERVENTIONS: Each study group completed 3 dry laboratory exercises based on exercises included in the Fundamentals of Laparoscopic Surgery (FLS) curriculum. Each exercise was completed 4 times: using the dominant and nondominant hands, on a standard laparoscopic FLS box trainer, and in a robotic dry laboratory setup. Participants were randomized to the handedness and setting order in which they tackled the tasks.
MEASUREMENTS AND MAIN RESULTS: Performance was primarily measured as time to completion, with adjustments based on errors. Means of performance for the dominant versus nondominant hand for each task were calculated and compared using repeated-measures analysis of variance. A total of 36 subjects were enrolled (12 per group). In the laparoscopic setting, the mean overall time to completion of all 3 tasks with the dominant hand differed significantly from that with the nondominant hand (439.4 seconds vs 568.4 seconds; p = .0008). The between-hand performance difference was nullified with the robotic system (374.4 seconds vs 399.7 seconds; p = .48). The evaluation of performance for each individual task also revealed a statistically significant disparate performance between hands for all 3 tasks when the laparoscopic approach was used (p = .003, .02, and .01, respectively); however, no between-hand difference was observed when the tasks were performed robotically. On analysis across the 3 surgeon experience groups, the performance advantage of robotic technology remained significant for the surgical novice and intermediate-level experience groups.
CONCLUSION: Robot-assisted laparoscopy may eliminate the operative handedness observed in conventional laparoscopy, allowing for virtual ambidexterity. This ergonomic advantage is particularly evident in surgical trainees. Virtual ambidexterity may represent an additional aspect of surgical robotics that facilitates mastery of minimally invasive skills.
Copyright © 2017 American Association of Gynecologic Laparoscopists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Ambidexterity; Intraoperative handedness; Laparoscopic surgery; Robotic surgery; daVinci Surgical System

Mesh:

Year:  2017        PMID: 28734971     DOI: 10.1016/j.jmig.2017.07.010

Source DB:  PubMed          Journal:  J Minim Invasive Gynecol        ISSN: 1553-4650            Impact factor:   4.137


  10 in total

1.  Using Intraoperative Recordings to Evaluate Surgical Technique and Performance in Mastoidectomy.

Authors:  Joshua A Lee; Michaela F Close; Yuan F Liu; M Andrew Rowley; Mitchell J Isaac; Mark S Costello; Shaun A Nguyen; Ted A Meyer
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2020-10-01       Impact factor: 6.223

2.  Ambidexterity in left-handed and right-handed individuals and implications for surgical training.

Authors:  Nicholas F Lombana; Patrick A Naeger; Pablo L Padilla; Reuben A Falola; Eric L Cole
Journal:  Proc (Bayl Univ Med Cent)       Date:  2021-12-16

Review 3.  The Future in Standards of Care for Gynecologic Laparoscopic Surgery to Improve Training and Education.

Authors:  Vlad I Tica; Andrei A Tica; Rudy L De Wilde
Journal:  J Clin Med       Date:  2022-04-14       Impact factor: 4.964

4.  Comparison between single-site and multiport robot-assisted myomectomy.

Authors:  Gaby N Moawad; Paul Tyan; Jiheum Paek; Erryn E Tappy; Daniel Park; Souzanna Choussein; Serene S Srouji; Antonio Gargiulo
Journal:  J Robot Surg       Date:  2019-01-21

5.  Robot-assisted versus laparoscopic Roux-en-Y gastric bypass and sleeve gastrectomy: a propensity score-matched comparative analysis using the 2015-2016 MBSAQIP database.

Authors:  Raul Sebastian; Melanie H Howell; Kai-Hua Chang; Gina Adrales; Thomas Magnuson; Michael Schweitzer; Hien Nguyen
Journal:  Surg Endosc       Date:  2018-09-17       Impact factor: 4.584

Review 6.  Robotic colorectal surgery and ergonomics.

Authors:  Shing Wai Wong; Zhen Hao Ang; Phillip F Yang; Philip Crowe
Journal:  J Robot Surg       Date:  2021-04-22

Review 7.  Factors affecting the learning curve in robotic colorectal surgery.

Authors:  Shing Wai Wong; Philip Crowe
Journal:  J Robot Surg       Date:  2022-02-01

8.  Comparison of 2D 4K vs. 3D HD laparoscopic imaging systems using a pelvitrainer model: a randomized controlled study.

Authors:  Tibor A Zwimpfer; Claudine Wismer; Bernhard Fellmann-Fischer; James Geiger; Andreas Schötzau; Viola Heinzelmann-Schwarz
Journal:  Updates Surg       Date:  2021-10-26

9.  A laparoscopic study investigating 3D vs 2D imaging systems using a pelvitrainer model with experts, non-experts, and students.

Authors:  Tibor Andrea Zwimpfer; Dominik Lacher; Bernhard Fellmann-Fischer; Michael Mueller
Journal:  BMC Surg       Date:  2020-11-09       Impact factor: 2.102

10.  Surgical Hand Gesture Recognition Utilizing Electroencephalogram as Input to the Machine Learning and Network Neuroscience Algorithms.

Authors:  Somayeh B Shafiei; Mohammad Durrani; Zhe Jing; Michael Mostowy; Philippa Doherty; Ahmed A Hussein; Ahmed S Elsayed; Umar Iqbal; Khurshid Guru
Journal:  Sensors (Basel)       Date:  2021-03-03       Impact factor: 3.576

  10 in total

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