Using Histopathology to Assess the Reliability of Intraoperative Magnetic Resonance Imaging in Guiding Additional

Amar S Shah1, Alexander T Yahanda1, Peter T Sylvester1

  • 1Washington University School of Medicine, St. Louis, Missouri.

Neurosurgery
|August 18, 2020
PubMed
Abstract

Insights

Intraoperative MRI (iMRI) reliably identifies residual brain tumors. Histopathology confirms iMRI’s high accuracy in detecting additional tumor tissue during glioma and pituitary adenoma resections.

Area of Science:

  • Neurosurgery
  • Oncology
  • Radiology

Background:

  • Intraoperative magnetic resonance imaging (iMRI) is crucial for guiding brain tumor resections.
  • Accurate discernment of residual tumor by iMRI is essential for successful surgical outcomes.

Purpose of the Study:

  • To evaluate the reliability of iMRI in detecting residual tumor tissue across various brain tumor types using histopathology.
  • To assess iMRI's efficacy independent of the specific indications for its use during surgery.

Main Methods:

  • A multicenter database was utilized to analyze the likelihood of additional resection post-iMRI.
  • Histopathology of resected tissue after iMRI was employed to confirm the presence of residual tumor.
  • The study included gliomas (grades I-IV) and pituitary adenomas.

Main Results:

  • Gliomas showed a higher likelihood of additional resection after iMRI compared to pituitary adenomas.
  • Histopathological analysis confirmed tumor in 89.4% of resected samples post-iMRI.
  • iMRI demonstrated high reliability in identifying residual tumor across all glioma grades and in pituitary adenomas, with no significant differences observed based on tumor grade or prior resection status.

Conclusions:

  • Histopathological analysis confirms that iMRI is highly reliable for identifying residual tumor during resections of gliomas and pituitary adenomas.
  • iMRI serves as a dependable tool for neurosurgeons to ensure maximal safe tumor removal.

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