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Application of Multimodal Image Fusion to Precisely Localize Small Intramedullary Spinal Cord Tumors

Peihai Zhang1, Guihuai Wang1, Zhenxing Sun1

  • 1Department of Neurosurgery, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China.

World Neurosurgery
|July 23, 2018
PubMed
Abstract

Insights

Precise localization of small intramedullary spinal cord tumors was achieved using multimodal image fusion and an intraoperative O-arm navigation system. This technique offers accurate guidance for minimally invasive surgical approaches to these challenging lesions.

Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Spinal Surgery

Background:

  • Small intramedullary spinal cord tumors present significant localization challenges during surgery.
  • Accurate intraoperative targeting is crucial for minimizing neurological damage and maximizing tumor resection.

Purpose of the Study:

  • To evaluate the application of precise intraoperative localization for small intramedullary spinal cord tumors.
  • To assess the accuracy and feasibility of a multimodal image fusion and navigation system in guiding spinal cord tumor surgery.

Main Methods:

  • Five patients with small intramedullary spinal cord tumors underwent image-guided surgery.
  • Intraoperative O-arm computed tomography (CT) images were fused with preoperative magnetic resonance images (MRI) using Stealth navigation and Medtronic Synergy Cranial software.
  • Navigation accuracy was determined by measuring the discrepancy between the planned and actual tumor position.

Main Results:

  • Multimodal image fusion and image-guided surgery were successfully completed in all five patients.
  • The mean tumor diameter was 12.2 mm, with a mean incision length of 12.7 mm.
  • The mean image processing time was 15 minutes, and the mean navigation error was 1.2 mm.

Conclusions:

  • Multimodal image fusion combined with an intraoperative O-arm navigation system enables precise localization of small intramedullary spinal cord tumors.
  • This integrated approach facilitates accurate image-guided surgery for challenging spinal lesions.
Keywords:
Multimodal image fusionNavigationSpinal cord tumors

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