Development and Evaluation of a Pediatric mixed reality model for Neuro endoscopic surgical training.
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2020
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Abstract
Neurosurgical training requires several years of supervised procedures and represents a long and challenging process. The development of surgical simulation platforms is essential to reducing the risk of potentially intraoperative severe errors arising from inexperience.To present and perform a phase I validation process of a mixed reality simulation (realistic and virtual simulators combined) for neuroendoscopic surgical training.Tridimensional videos were developed by the 3DS Max program. Physical simulators were made with a synthetic thermo-retractile and thermo-sensible rubber, which when combined with different polymers, produces more than 30 different textures that simulate consistencies and mechanical resistance of human tissues. Questionnaires regarding the role of virtual and realistic simulators were applied to experienced neurosurgeons to assess the applicability of the mixed reality simulation for neuro endoscopic surgical training.The model was considered as a potential tool for training new residents in neuro endoscopic surgery. It was also adequate for practical application with inexperienced surgeons. According to the overall score, 83% of the surgeons believed that the realistic physical simulator presents distortions when compared to the real anatomical structure, 66% with tridimensional reconstruction and 66% reported that the virtual simulator allowed multi angular perspective.This model provides a highly effective way of working with 3D data and significantly enhances the learning of surgical anatomy and operative strategies. The combination of virtual and realistic tools may safely improve and abbreviate the surgical learning curve.Reference Key |
coelho2020developmentworld
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Authors | Coelho, Giselle;Figueiredo, Eberval Gadelha;Rabelo, Nícollas Nunes;Rodrigues de Souza, Matheus;Fagundes, Caroline Ferreira;Teixeira, Manoel Jacobsen;Zanon, Nelci; |
Journal | world neurosurgery |
Year | 2020 |
DOI | S1878-8750(20)30641-0 |
URL | |
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