WHO grade I meningioma subtypes: MRI features and pathological analysis

Tao Zhang1, Jian-Min Yu1, Yong-Qi Wang1

  • 1Department of Radiology, Weifang People's Hospital, Weifang, 261000, China.

Life Sciences
|August 29, 2018
PubMed
Abstract

Insights

Magnetic resonance imaging (MRI) features can help differentiate subtypes of WHO grade I meningiomas. Angiomatous and meningothelial meningiomas show distinct MRI characteristics, aiding in diagnosis.

Area of Science:

  • Neurosurgery
  • Neuroradiology
  • Neuropathology

Background:

  • WHO grade I meningiomas encompass diverse subtypes with varying prognoses.
  • Accurate subtype differentiation is crucial for tailored surgical planning and patient management.

Purpose of the Study:

  • To investigate the correlation between magnetic resonance imaging (MRI) features and pathological parameters across different WHO grade I meningioma subtypes.
  • To enhance the diagnostic value of MRI in classifying meningioma subtypes.

Main Methods:

  • Retrospective analysis of MRI findings (T1WI, T2WI, enhancement, edema) in patients with WHO grade I meningiomas.
  • Utilized proton magnetic resonance spectroscopy (1H-MRS) and reviewed pathological examination results.
  • Statistical analysis using Kruskal-Wallis H test to determine correlations (P < 0.05).

Main Results:

  • Angiomatous meningiomas: low T1WI, high T2WI, high edema, homogeneous enhancement.
  • Meningothelial meningiomas: iso-intense T1WI/T2WI, moderate/severe edema, moderate enhancement.
  • Mixed, fibroblastic, psammomatous meningiomas: mixed signals, mild/moderate edema, variable enhancement.
  • Significant differences observed in apparent diffusion coefficient (ADC) values and 1H-MRS indicators among subtypes.

Conclusions:

  • Angiomatous and meningothelial meningiomas exhibit distinct MRI signatures, facilitating their identification.
  • Distinguishing between mixed, fibroblastic, and psammomatous subtypes based on MRI alone remains challenging.
  • MRI features combined with advanced techniques like 1H-MRS show promise in improving meningioma subtype classification.

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