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

Sci Rep

Musculoskeletal Biomechanics Research Lab, Department of Mechanical Engineering, McGill University, Montreal, H3A 0C4, Canada.

Published: August 2022

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/°, 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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9357010PMC
http://dx.doi.org/10.1038/s41598-022-17512-5DOI Listing

Publication Analysis

Top Keywords

force torque
12
vacuum curette
8
surgical training
8
lumbar spine
8
linear torsional
8
torsional resistances
8
curette lumbar
4
lumbar discectomy
4
discectomy mechanics
4
mechanics spine
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!