Histological Grade of Meningioma: Prediction by Intravoxel Incoherent Motion Histogram Parameters

Manisha Bohara1, Masanori Nakajo1, Kiyohisa Kamimura1

  • 1Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1, Sakuragaoka, Kagoshima 890-8544, Japan.

Academic Radiology
|June 2, 2019
PubMed
Abstract

Insights

Intravoxel incoherent motion (IVIM) histogram analysis, particularly measures of heterogeneity, can help differentiate low-grade meningiomas (LGMs) from high-grade meningiomas (HGMs). These IVIM parameters correlate with tumor proliferation markers like Ki-67.

Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Meningiomas are tumors arising from the meninges.
  • Distinguishing between low-grade meningiomas (LGMs) and high-grade meningiomas (HGMs) is crucial for treatment planning.
  • Intravoxel incoherent motion (IVIM) MRI is a technique that provides insights into tissue microstructure and microcirculation.

Purpose of the Study:

  • To assess the utility of IVIM histogram analysis in differentiating LGMs from HGMs.
  • To explore the correlation between IVIM parameters and tumor proliferation markers.

Main Methods:

  • Fifty-nine patients with pathologically confirmed meningiomas (45 LGMs, 14 HGMs) underwent IVIM MRI.
  • Histogram analysis was performed on IVIM parameters (perfusion fraction f, true diffusion coefficient D, pseudo-diffusion coefficient D*) and apparent diffusion coefficient (ADC).
  • Statistical comparisons and receiver operating characteristic (ROC) curve analyses were used to evaluate differentiation capabilities and correlations with Ki-67 expression.

Main Results:

  • HGMs exhibited significantly higher standard deviation, variance, and coefficient of variation for ADC and D compared to LGMs.
  • The coefficient of variation for the perfusion fraction (f) was also significantly higher in HGMs.
  • Significant positive correlations were found between Ki-67 expression and histogram parameters (SD, variance, kurtosis, skewness, CV) of ADC and D.

Conclusions:

  • Histogram analysis of IVIM parameters, reflecting tumor heterogeneity, shows promise in differentiating LGMs from HGMs.
  • These findings suggest IVIM MRI can provide valuable non-invasive information for grading meningiomas.

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