• World Neurosurg · Jul 2021

    Integration of comprehensive metrics into the PsT1 neuroendoscopic training system.

    • Daniel Lorias-Espinoza, Vicente González Carranza, Fernando Pérez-Escamirosa, Fernando Chico-Ponce de León, Minor MartinezArturoAResearch and Advanced Studies Center of the National Polytechnic Institute of Mexico (Cinvestav - IPN), Electrical Department, Mexico City, Mexico., and Jose Antonio Gutiérrez-Gnecchi.
    • Research and Advanced Studies Center of the National Polytechnic Institute of Mexico (Cinvestav - IPN), Electrical Department, Mexico City, Mexico. Electronic address: dlorias@cinvestav.mx.
    • World Neurosurg. 2021 Jul 1; 151: 182-189.

    ObjectiveMetric-based surgical training can be used to quantify the level and progression of neurosurgical performance to optimize and monitor training progress. Here we applied innovative metrics to a physical neurosurgery trainer to explore whether these metrics differentiate between different levels of experience across different tasks.MethodsTwenty-four participants (9 experts, 15 novices) performed 4 tasks (dissection, spatial adaptation, depth adaptation, and the A-B-A task) using the PsT1 training system. Four performance metrics (collision, precision, dissected area, and time) and 6 kinematic metrics (dispersion, path length, depth perception, velocity, acceleration, and motion smoothness) were collected.ResultsFor all tasks, the execution time (t) of the experts was significantly lower than that of novices (P < 0.05). The experts performed significantly better in all but 2 of the other metrics, dispersion and sectional area, corresponding to the A-B-A task and dissection task, respectively, for which they showed a nonsignificant trend towards better performance (P = 0.052 and P = 0.076, respectively).ConclusionsIt is possible to differentiate between the skill levels of novices and experts according to parameters derived from the PsT1 platform, paving the way for the quantitative assessment of training progress using this system. During the current coronavirus disease 2019 pandemic, neurosurgical simulators that gather surgical performance metrics offer a solution to the educational needs of residents.Copyright © 2021 Elsevier Inc. All rights reserved.

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