Intracranial meningiomas at a tertiary hospital: Spectrum of MRI findings with histopathologic correlation

Jacobus A Pienaar1,2, Jacob Varghese1,2

  • 1Department of Diagnostic Radiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.

PubMed
Abstract

Insights

This study found that while intracranial meningiomas have diverse subtypes, MRI features do not reliably predict specific types or grades in South Africa. Definitive histopathology is crucial for diagnosis.

Area of Science:

  • Neurosurgery
  • Radiology
  • Pathology

Background:

  • Intracranial meningiomas exhibit diverse histological subtypes, some rare.
  • Limited data exists on the incidence and MRI features of these subtypes in South Africa.

Purpose of the Study:

  • To evaluate the spectrum of MRI findings and histological subtypes of meningiomas in South Africa.
  • To address the scarcity of literature concerning meningioma subtypes and their imaging characteristics in this population.

Main Methods:

  • Retrospective review of 41 histologically confirmed intracranial meningioma cases.
  • Auditing of MRI features and correlation with histological subtypes via statistical analysis.

Main Results:

  • Eleven histological subtypes were identified, with WHO Grade I meningothelial meningiomas being most common.
  • Meningiomas were generally isointense to grey matter on T1-weighted MRI, showing variability on T2-weighted images.
  • Specific subtype morphologies aligned with existing literature.

Conclusions:

  • No statistically significant differences in MRI features were found between histological subtypes.
  • Accurate preoperative prediction of meningioma subtype or WHO grade based on imaging alone is not feasible.
  • Emphasizes the necessity of histopathological diagnosis over reliance on imaging features.