4.7 Article

Vacuum curette lumbar discectomy mechanics for use in spine surgical training simulators

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SCIENTIFIC REPORTS
卷 12, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41598-022-17512-5

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  1. Natural Sciences and Engineering Research Council (NSERC)
  2. Quebec Consortium for Industrial Research and Innovation in Medical Technology (MEDTEQ)
  3. DePuy Synthes
  4. McGill University [CRDPJ 515768-17]
  5. CAE Healthcare, Inc.

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Simulation in surgical training is a growing field. This study investigated force and torque experienced during lumbar spine surgery and its implications for designing simulator haptic feedback. The results showed significant differences in force and torque profiles among different lumbar spine levels. These findings are important for developing realistic simulation training tools and enhancing surgical training.
Simulation in surgical training is a growing field and this study aims to understand the force and torque experienced during lumbar spine surgery to design simulator haptic feedback. It was hypothesized that force and torque would differ among lumbar spine levels and the amount of tissue removed by >= 7%, which would be detectable to a user. Force and torque profiles were measured during vacuum curette insertion and torsion, respectively, in multiple spinal levels on two cadavers. Multiple tests per level were performed. Linear and torsional resistances of 2.1 +/- 1.6 N/mm and 5.6 +/- 4.3 N mm/degrees, respectively, were quantified. Statistically significant differences were found in linear and torsional resistances between all passes through disc tissue (both p = 0.001). Tool depth (p < 0.001) and lumbar level (p < 0.001) impacted torsional resistance while tool speed affected linear resistance (p = 0.022). Average differences in these statistically significant comparisons were >= 7% and therefore detectable to a surgeon. The aforementioned factors should be considered when developing haptic force and torque feedback, as they will add to the simulated lumbar discectomy realism. These data can additionally be used inform next generation tool design. Advances in training and tools may help improve future surgeon training.

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