Improving training of laparoscopic tissue manipulation skills using various visual force feedback types

Journal article (2017)

Authors

J DANKELMAN Medical Instruments & Bio-Inspired Technology - Mechanical, Maritime and Materials Engineering
J. Dankelman Medical Instruments & Bio-Inspired Technology - Mechanical, Maritime and Materials Engineering
J. DANKELMAN Medical Instruments & Bio-Inspired Technology - Mechanical, Maritime and Materials Engineering
Jenny DANKELMAN Medical Instruments & Bio-Inspired Technology - Mechanical, Maritime and Materials Engineering
Jenny Dankelman Medical Instruments & Bio-Inspired Technology - Mechanical, Maritime and Materials Engineering
J Dankelman Medical Instruments & Bio-Inspired Technology - Mechanical, Maritime and Materials Engineering
G.J.M. Tuijthof Medical Instruments & Bio-Inspired Technology - Mechanical, Maritime and Materials Engineering
T. Horeman Medical Instruments & Bio-Inspired Technology - Mechanical, Maritime and Materials Engineering
Tim Horeman Medical Instruments & Bio-Inspired Technology - Mechanical, Maritime and Materials Engineering
Research Group
Medical Instruments & Bio-Inspired Technology (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2017 Daan Smit, Edward Spruit, J. Dankelman, G.J.M. Tuijthof, J Hamming, T. Horeman
DOI: https://doi.org/10.1007/s00464-016-4972-0
More Info
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Published Date

2017

Language

English

Faculty

Mechanical, Maritime and Materials Engineering

Department

Biomechanical Engineering

Research Group

Medical Instruments & Bio-Inspired Technology

Abstract

Background

Visual force feedback allows trainees to learn laparoscopic tissue manipulation skills. The aim of this experimental study was to find the most efficient visual force feedback method to acquire these skills. Retention and transfer validity to an untrained task were assessed.

Methods

Medical students without prior experience in laparoscopy were randomized in three groups: Constant Force Feedback (CFF) (N = 17), Bandwidth Force Feedback (BFF) (N = 16) and Fade-in Force Feedback (N = 18). All participants performed a pretest, training, post-test and follow-up test. The study involved two dissimilar tissue manipulation tasks, one for training and one to assess transferability. Participants performed six trials of the training task. A force platform was used to record several force parameters.

Results

A paired-sample t test showed overall lower force parameter outcomes in the post-test compared to the pretest (p < .001). A week later, the force parameter outcomes were still significantly lower than found in the pretest (p < .005). Participants also performed the transfer task in the post-test (p < .02) and follow-up (p < .05) test with lower force parameter outcomes compared to the pretest. A one-way MANOVA indicated that in the post-test the CFF group applied 50 % less Mean Absolute Nonzero Force (p = .005) than the BFF group.

Conclusion

All visual force feedback methods showed to be effective in decreasing tissue manipulation force as no major differences were found between groups in the post and follow-up trials. The BFF method is preferred for it respects individual progress and minimizes distraction.