Please use this identifier to cite or link to this item: https://doi.org/10.1002/micr.20766
Title: Assessing suturing techniques using a virtual reality surgical simulator
Authors: Kazemi, H.
Rappel, J.K. 
Poston, T.
Lim, B.H.
Burdet, E.
Teo, C.L. 
Issue Date: Sep-2010
Source: Kazemi, H., Rappel, J.K., Poston, T., Lim, B.H., Burdet, E., Teo, C.L. (2010-09). Assessing suturing techniques using a virtual reality surgical simulator. Microsurgery 30 (6) : 479-486. ScholarBank@NUS Repository. https://doi.org/10.1002/micr.20766
Abstract: Advantages of virtual-reality simulators surgical skill assessment and training include more training time, no risk to patient, repeatable diffi-culty level, reliable feedback, without the resource demands, and ethical issues of animal-based training. We tested this for a key subtask and showed a strong link between skill in the simulator and in reality. Suturing performance was assessed for four groups of participants, including experienced surgeons and naive subjects, on a custom-made virtual-reality simulator. Each subject tried the experiment 30 times using five different types of needles to perform a standardized suture placement task. Traditional metrics of performance as well as new metrics enabled by our system were proposed, and the data indicate difference between trained and untrained performance. In all traditional parameters such as time, number of attempts, and motion quantity, the medical surgeons outperformed the other three groups, though differences were not significant. However, motion smoothness, penetration and exit angles, tear size areas, and orientation change were statistically significant in the trained group when compared with untrained group. This suggests that these parameters can be used in virtual microsurgery training. © 2010 Wiley-Liss, Inc.
Source Title: Microsurgery
URI: http://scholarbank.nus.edu.sg/handle/10635/59581
ISSN: 07381085
DOI: 10.1002/micr.20766
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

13
checked on Dec 7, 2017

WEB OF SCIENCETM
Citations

10
checked on Nov 22, 2017

Page view(s)

38
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.