Virtual neurosurgery anatomy laboratory: A collaborative and remote education experience in the metaverse

Document Type

Article

Abstract

BACKGROUND: Advances in computer sciences, including novel 3-dimensional rendering techniques, have enabled the creation of cloud-based virtual reality (VR) interfaces, making real-time peer-to-peer interaction possible even from remote locations. This study addresses the potential use of this technology for microsurgery anatomy education. METHODS: Digital specimens were created using multiple photogrammetry techniques and imported into a virtual simulated neuroanatomy dissection laboratory. A VR educational program using a multiuser virtual anatomy laboratory experience was developed. Internal validation was performed by five multinational neurosurgery visiting scholars testing and assessing the digital VR models. For external validation, 20 neurosurgery residents tested and assessed the same models and virtual space. RESULTS: Each participant responded to 14 statements assessing the virtual models, categorized under realism ( = 3), usefulness ( = 2), practicality ( = 3), enjoyment ( = 3), and recommendation ( = 3). Most responses expressed agreement or strong agreement with the assessment statements (internal validation, 94% [66/70] total responses; external validation, 91.4% [256/280] total responses). Notably, most participants strongly agreed that this system should be part of neurosurgery residency training and that virtual cadaver courses through this platform could be effective for education. CONCLUSION: Cloud-based VR interfaces are a novel resource for neurosurgery education. Interactive and remote collaboration between instructors and trainees is possible in virtual environments using volumetric models created with photogrammetry. We believe that this technology could be part of a hybrid anatomy curriculum for neurosurgery education. More studies are needed to assess the educational value of this type of innovative educational resource.

Publication Date

1-1-2023

Publication Title

Surgical neurology international

ISSN

2229-5097

Volume

14

First Page

90

PubMed ID

37025523

Digital Object Identifier (DOI)

10.25259/SNI_162_2023

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