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Dataset Information

Development and initial evaluation of a novel simulation model for comprehensive brain tumor surgery training.


ABSTRACT:

Background

Increasing technico-manual complexity of procedures and time constraints necessitates effective neurosurgical training. For this purpose, both screen- and model-based simulations are under investigation. Approaches including 3D printed brains, gelatin composite models, and virtual environments have already been published. However, quality of brain surgery simulation is limited due to discrepancies in visual and haptic experience. Similarly, virtual training scenarios are still lacking sufficient real-world resemblance. In this study, we introduce a novel simulator for realistic neurosurgical training that combines real brain tissue with 3D printing and augmented reality.

Methods

Based on a human CT scan, a skull base and skullcap were 3D printed and equipped with

SUBMITTER: Grosch AS 

PROVIDER: S-EPMC7360639 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature