Literature DB >> 16283847

Robotic versus conventional laparoscopic skill acquisition: implications for training.

Can Obek1, Michal Hubka, Michael Porter, Lily Chang, James R Porter.   

Abstract

BACKGROUND AND
PURPOSE: Despite the growing interest in surgical robotics, very little study has been done regarding the acquisition of the skills needed to perform robotic surgery safely. The purpose of this study was to determine whether skills are transferred between conventional laparoscopy and robotically assisted surgery. SUBJECTS AND METHODS: Intracorporeal knot tying was used for evaluating laparoscopic skills for time and error performance. Twenty medical students without any laparoscopic experience were randomized into two groups. Group A initially performed knot tying with conventional laparoscopic instruments, were trained with the daVinci Robotic System, and then performed knot tying with conventional laparoscopy. Group B performed knot tying with robotics, trained with standard laparoscopy, and completed post-training knot tying with robotics. Pretraining and post-training tasks were videotaped and analyzed using a detailed scoring system by one independent referee, who was blinded to the subjects' experience.
RESULTS: Pre-training knot tying was faster with robotics (4.4 v 9.9 minutes; P < 0.001). The mean composite scores were 27.4 for group A and 57.4 for group B (P = 0.09), and the error scores were 57.1 and 42.1 (P = 0.29), respectively. Post-training time for knot completion decreased to 6.7 minutes and 3.4 minutes for groups A and B, respectively. Composite scores increased significantly, from 27.4 to 66.1 for group A and 57.4 to 81.8 for group B. Error scores decreased to 32.9 for group A (P = 0.1) and 16.2 in group B (P = 0.02).
CONCLUSIONS: There appears to be reciprocal transfer of skills between conventional laparoscopy and robotically assisted surgery. However, this transference is incomplete. Our results suggest that training with either technique or conventional laparoscopy is superior to training with robotics alone.

Mesh:

Year:  2005        PMID: 16283847     DOI: 10.1089/end.2005.19.1098

Source DB:  PubMed          Journal:  J Endourol        ISSN: 0892-7790            Impact factor:   2.942


  3 in total

1.  An analysis of the impact of previous laparoscopic hysterectomy experience on the learning curve for robotic hysterectomy.

Authors:  A Eddib; N Jain; M Aalto; S Hughes; A Eswar; M Erk; C Michalik; V Krovi; P Singhal
Journal:  J Robot Surg       Date:  2013-02-27

2.  Teaching robotic surgery: a stepwise approach.

Authors:  Mohamed R Ali; Jason Rasmussen; Bobby BhaskerRao
Journal:  Surg Endosc       Date:  2006-12-20       Impact factor: 3.453

Review 3.  Learning curve using robotic surgery.

Authors:  Sanjeev Kaul; Nikhil L Shah; Mani Menon
Journal:  Curr Urol Rep       Date:  2006-03       Impact factor: 2.862

  3 in total

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