Abstract
Introduction
Surgical skill assessment utilises direct observation and feedback by an expert which is potentially subjective, therefore obtaining objective data for hand and eye tracking is essential. Our aim was to evaluate a wearable mixed reality (MR) headset in these domains.
Methods
Participants with differing levels of surgical expertise [novice (N), intermediate (I) & expert (E)] performed 4 simulated surgical tasks; 2 general dexterity (tasks 1&2) and 2 surgical skills (tasks 3&4) wearing the MR headset capturing their hand and eye movements (median & range). Metrics included hand path length and the speed of each index or thumb tip. Gaze data were also captured. Participant demographics, prior expertise and current experience were captured with an electronic survey. Data were analysed with a Shapiro-Wilk test or ANOVA as appropriate. A p-value of < 0.05 was significant.
Results
Thirty-six participants were analysed (N = 18, I = 8, E = 8). Tasks 1&2 revealed 2 speed outcomes (left index and left-hand speed) which were significant. For tasks 3&4, various outcomes were significant: path length for left hand (N:45 cm vs. I:31 cm vs. E:27 cm, p = 0.03) and right hand (N:48 cm vs. I:29 cm vs. E:28 cm, p = 0.01) and total time (N:456s vs. I:292 vs. E: 245, p = 0.0002). With left-hand-tying, average path length (N:61 cm vs. I:39 vs. E:36, p = 0.04), average speed (N:11 cm/s vs. I:23 vs. E:24, p = 0.03), and total time (N:156s vs. I:43 vs. E:37, p = 0.003) were significant. The gaze-tracking was not statistically significant.
Conclusion
The MR headset can be utilised as a valid tool for surgical performance assessment. Outcomes including path length and speed can be valuable metrics captured by the MR Headset during the task completion for detecting surgical proficiency.






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This study as it was simulation-based educational research was not preregistered in an independent institutional registry.
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This abstract was presented at the Pacific Association of Pediatric Surgeons Virtual Congress November 2021.
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There are no conflicts of interests or financial ties for any of the parties involved in this study. This includes the whole authorship of John Valles, Taiqing Zhang, Paul McIntosh, Maurizio Pacilli, and Ramesh M. Nataraja.
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Valles, J., Zhang, T., McIntosh, P. et al. Assessment of Core Surgical Skills Using a Mixed Reality Headset – The MoTOR Study. J Med Syst 46, 102 (2022). https://doi.org/10.1007/s10916-022-01891-3
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DOI: https://doi.org/10.1007/s10916-022-01891-3