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Proceedings Paper

Training with Perk Tutor improves ultrasound-guided in-plane needle insertion skill
Author(s): Hillary Lia; Zsuzsanna Keri; Matthew S. Holden; Vinyas Harish; Christopher H. Mitchell; Tamas Ungi; Gabor Fichtinger
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Paper Abstract

PURPOSE: The open-source Perk Tutor training platform has been shown to improve trainee performance in interventions that require ultrasound guidance. Our goal was to determine if needle coordination of medical trainees can be improved by training with Perk Tutor compared to training with ultrasound only. METHODS: Twenty participants with no previous experience were randomized into two groups; the Perk Tutor group and the Control group. The Perk Tutor group had access to the 3D visualization while the Control group used ultrasound only during their training. Performance was analyzed, measured and compared by Perk Tutor with regards to four needle coordination metrics. None of the groups had access to 3D visualization during performance testing. RESULTS: The needle tracking measurements showed, for the Perk Tutor group, lower average distance between the needle tip and ultrasound (1.2 [0.9 – 2.8] mm vs 2.7 [2.3 – 4.0] mm, respectively; P = 0.023) and lower maximum distance between the needle tip and ultrasound (2.2 [1.9 – 3.2] mm vs 4.6 [3.9 – 6.2] mm, respectively; P = 0.013). There was no significant difference in average needle to ultrasound plane angle and maximum needle to ultrasound plane distance. All participants were successful in the procedure. CONCLUSION: The Perk Tutor group had significantly reduced distance from the needle tip to the ultrasound plane. Training with Perk Tutor can improve trainees’ needle and ultrasound coordination.

Paper Details

Date Published: 3 March 2017
PDF: 8 pages
Proc. SPIE 10135, Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling, 101350T (3 March 2017); doi: 10.1117/12.2255840
Show Author Affiliations
Hillary Lia, Lab. for Percutaneous Surgery, Queens Univ. (Canada)
Zsuzsanna Keri, Lab. for Percutaneous Surgery, Queens Univ. (Canada)
Matthew S. Holden, Lab. for Percutaneous Surgery, Queens Univ. (Canada)
Vinyas Harish, Lab. for Percutaneous Surgery, Queens Univ. (Canada)
Christopher H. Mitchell, Sir Charles Gairdner Hospital (Australia)
Tamas Ungi, Lab. for Percutaneous Surgery, Queens Univ. (Canada)
Gabor Fichtinger, Lab. for Percutaneous Surgery, Queens Univ. (Canada)


Published in SPIE Proceedings Vol. 10135:
Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling
Robert J. Webster; Baowei Fei, Editor(s)

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