J Neurol Surg B Skull Base 2025; 86(S 01): S1-S576
DOI: 10.1055/s-0045-1803152
Presentation Abstracts
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Advancing Neurosurgical Training Environment for Skull Base Approaches: Efficacy of Innovative 3D Computer Graphics

Authors

  • Tatsuya Uchida

    1   Stanford University, Stanford, California, United States
  • Taichi Kin

    2   The University of Tokyo, Tokyo, Japan
  • Juan Fernandez-Miranda

    1   Stanford University, Stanford, California, United States
  • Aaron Cohen-Gadol

    3   Keck School of Medicine of USC, Los Angeles, California, United States
  • Nobuhito Saito

    2   The University of Tokyo, Tokyo, Japan
 

Background: Neurosurgeons require training in skull-based approaches. Recent technological developments have led to widespread use of computer-based surgical education and training. However, it is still difficult to provide detailed and realistic training such as cadaver dissection. This study introduces a novel training environment using primitive polygon-based microanatomical 3D computer graphics (PPM-3DCG) and evaluates its effectiveness against traditional patient-image-based 3D computer graphics (PI-3DCG) for skull base surgery.

Objective: This article aims to evaluate the learning effectiveness of the PPM-3DCG in skull base approach training and the impact of immersive virtual reality (VR) goggles in this new training method.

Methods: High-resolution polygonal models, representing microanatomical structures up to the resolution limit of patient-based medical images, were developed and integrated into a VR training application. This training method was defined as PPM-3DCG training. As a control, an expert created 3D computer graphics from normal patient images and integrated it into the same VR training application. This method is referred to as PI-3DCG training. Ten neurosurgeons engaged in endoscopic pituitary surgery and anterior petrosal approach (APA) training using both methods on a computer display. The anatomical accuracy, clarity of surgical landmarks, and realism were assessed using a Likert scale. Next, the same surgical approaches were performed in the PPM-3DCG training environment via VR goggles, and the immersion, realism, usability, comfort, and educational value were compared with those of a computer display.

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Results: In PPM-3DCG training, both approaches had higher scores on all measures, with significantly higher scores for anatomical accuracy and realism. The VR goggles had significantly higher immersion and educational value scores than regular displays.

Conclusion: PPM-3DCG training, particularly when combined with VR goggles, offers a superior training platform for skull base surgeries. This pilot study underscores the potential of this new training environment to revolutionize neurosurgical education and sets the stage for broader comparative investigations.



Publication History

Article published online:
07 February 2025

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