Neurocircle microsurgery model: Description of simulation-based training and exoscope

医学 显微外科 计算机科学 人工智能 医学物理学 外科
作者
Christian Alexander Yataco-Wilcas,Luis Alberto Lengua-Vega,Yosimar Salomón Coasaca-Tito,Bruno Eduardo Díaz-Llanes,Cristian Eugenio Salazar-Campos
出处
期刊:Surgical Neurology International [Medknow]
卷期号:15: 392-392
标识
DOI:10.25259/sni_767_2024
摘要

Background: Microsurgery is crucial in neurosurgery, requiring precise skills for interventions on delicate structures. Effective training is essential for developing these skills. In Peru and Latin America, however, there is a notable shortage of specialized training centers and high costs associated with foreign simulators, hindering the development of neurosurgical skills. To address this issue, the NeuroZone3D Research Center has initiated a project to create a national dataset on Peruvian craniometry and develop locally adapted training models. Methods: The “NeuroCircle Microsurgery Model” was created through a multi-phase process. Phase 1 involved designing a simulation platform using a 3D printer. Phase 2 focused on creating a realistic biomodel with polyurethane and advanced modeling techniques. In Phase 3, the biomodel was assembled and integrated into the platform. Phase 4 included using a wooden module, a cost-effective exoscope simulation, and surgical instruments to provide a realistic training environment. Results: The “NeuroCircle Microsurgery Model” provided a stable and effective training environment. Feedback from training sessions with neurosurgery residents and medical students indicated significant improvements in microsurgical skills. Participants valued the model’s realism and its role in enhancing their surgical proficiency. Conclusion: The “NeuroCircle Microsurgery Model” is a significant advancement in microsurgery training for Peru and Latin America. Its development provides a valuable, locally adaptable tool for improving surgical skills and addresses the critical training gaps in the region.
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