Utility of Surgical Simulation for Tubular Retractor Surgery Using Three-Dimensional Printed Intraventricular Tumor

Ryo Omae1, Ryu Kimura1, Yoshihiro Otani1

  • 1Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.

World Neurosurgery
|February 5, 2025
PubMed
Abstract

Insights

Three-dimensional (3D)-printed intraventricular tumor models significantly improve preoperative simulation accuracy for tubular retractor surgery. These models reduce blind spots and enhance safety in complex neurosurgical procedures.

Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Tubular retractors offer utility for deep-seated and intraventricular tumors.
  • Challenges include surgical field depth, narrowness, potential blind spots, and risk to eloquent cortex/white matter fibers.
  • Preoperative simulation is critical for optimizing tubular retractor surgery outcomes.

Purpose of the Study:

  • To investigate the benefits of three-dimensional (3D)-printed intraventricular tumor models for preoperative simulation in tubular retractor surgery.
  • To compare the efficacy of 3D-printed models versus traditional fusion images for surgical planning.
  • To assess the impact on neurosurgeon accuracy in determining optimal retractor placement.

Main Methods:

  • Retrospective review of nine patients with intraventricular central neurocytoma undergoing tubular retractor surgery.
  • Development of 3D-printed tumor models and fusion images from preoperative CT and MRI scans.
  • Simulation of tubular retractor puncture points by 11 neurosurgeons using both modalities, with analysis of puncture point dispersion.

Main Results:

  • Puncture point dispersion was significantly smaller when using 3D-printed intraventricular tumor models compared to simulations based solely on fusion images.
  • The 3D-printed models provided a more precise and consistent simulation of surgical access.
  • This enhanced precision was observed across different levels of neurosurgical expertise.

Conclusions:

  • Three-dimensional (3D)-printed intraventricular tumor models are more beneficial than fusion images for preoperative simulation in tubular retractor surgery.
  • These models enhance surgical planning by providing a superior spatial understanding of the tumor and surrounding structures.
  • The use of 3D-printed models can potentially improve surgical safety and efficacy for intraventricular tumors.

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