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Artificial Intelligence Algorithm-Based Intraoperative Magnetic Resonance Navigation for Glioma Resection.

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Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Glioma resection aims to maximize tumor removal while preserving neurological function.
  • Conventional surgical techniques rely on surgeon experience, potentially limiting resection rates.
  • Intraoperative magnetic resonance imaging (iMRI) offers real-time visualization during surgery.

Purpose of the Study:

  • To evaluate the clinical application value of artificial intelligence (AI) algorithm-based iMRI in neurosurgical glioma resection.
  • To compare the efficacy of AI-assisted iMRI versus conventional surgical experience in glioma removal.
  • To assess the impact of AI-iMRI on tumor resection rate, neurological function, and postoperative infection.

Main Methods:

  • A comparative study involving 108 glioma patients divided into an experimental group (AI-iMRI assisted resection) and a control group (conventional resection).
  • Data collected included tumor resection rate, National Institute of Health Stroke Scale (NIHSS) score, Karnofsky score, and postoperative intracranial infection rates.
  • Statistical analysis was performed to compare outcomes between the two groups.

Main Results:

  • The AI-iMRI group demonstrated a significantly higher average tumor resection rate compared to the control group (P < 0.05).
  • While no significant difference in NIHSS or Karnofsky scores was observed between groups, the AI-iMRI group had fewer postoperative neurological deficits.
  • Postoperative infection rates were comparable between the experimental and control groups (P > 0.05).

Conclusions:

  • AI algorithm-based iMRI navigation is clinically valuable for neurosurgical glioma resection.
  • This technology enhances maximal tumor removal and preserves neurological function.
  • AI-iMRI offers a safe approach, without increasing postoperative infection risk, significantly benefiting glioma treatment.