Objective: Simulation training improves technical skills in a safe environment. Stereotactic techniques are widely used in neurosurgery for different kinds of procedures. The objective of the study was to describe a combined cadaveric and synthetic low-cost stereotactic simulation model and its validation by neurosurgeons.
Methods: The brain was made using self-supporting gel with solid and cystic lesions. We used imaging scans to calculate x, y, and z target coordinates. A standard frame needle biopsy was performed. We calculated the number of mistakes and time needed to accomplish the task, and we evaluated the frame assembly and biopsy performance. Wilcoxon signed rank was used to analyzed the data; we considered a P value <0.05 as statistically significant.
Results: The median initial number of mistakes was 32 (interquartile range [IQR]: 27.5-37) and after repeated training and feedback the final median number was 3.5 (IQR: 2-6) (P < 0.001). The median time needed to finish the exercises before training was 1020.5 seconds (IQR: 908-1125.5) and after using the model the final median time was 479 seconds (IQR: 423-503) (P < 0.0001).
Conclusions: We presented a stereotactic simulation model with immediate haptic feedback. The model can be easily handmade in any neurosurgical laboratory. This model allows neurosurgeons in training to acquire and improve stereotactic techniques, reducing the number of surgical mistakes and time needed to finish the task.
Keywords: High-fidelity simulation training; Neurosurgery; Neurosurgical procedures; Simulation training; Stereotactic techniques.
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