Faster acquisition of laparoscopic skills in virtual reality with haptic feedback and 3D vision

Research output: Contribution to journalArticle

Abstract

BACKGROUND: The study investigated whether 3D vision and haptic feedback in combination in a virtual reality environment leads to more efficient learning of laparoscopic skills in novices.

MATERIAL AND METHODS: Twenty novices were allocated to two groups. All completed a training course in the LapSim(®) virtual reality trainer consisting of four tasks: 'instrument navigation', 'grasping', 'fine dissection' and 'suturing'. The study group performed with haptic feedback and 3D vision and the control group without. Before and after the LapSim(®) course, the participants' metrics were recorded when tying a laparoscopic knot in the 2D video box trainer Simball(®) Box.

RESULTS: The study group completed the training course in 146 (100-291) minutes compared to 215 (175-489) minutes in the control group (p = .002). The number of attempts to reach proficiency was significantly lower. The study group had significantly faster learning of skills in three out of four individual tasks; instrument navigation, grasping and suturing. Using the Simball(®) Box, no difference in laparoscopic knot tying after the LapSim(®) course was noted when comparing the groups.

CONCLUSIONS: Laparoscopic training in virtual reality with 3D vision and haptic feedback made training more time efficient and did not negatively affect later video box-performance in 2D. [Formula: see text].

Details

Authors
Organisations
External organisations
  • Skåne University Hospital
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Other Medical Sciences not elsewhere specified
  • Interaction Technologies

Keywords

  • 3D vision, Haptic feedback, laparoscopy, surgical education, virtual reality
Original languageEnglish
Pages (from-to)269-277
JournalMinimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy
Volume26
Issue number5
Early online date2017 Apr 3
Publication statusPublished - 2017
Publication categoryResearch
Peer-reviewedYes

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