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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.
Rationale And Objectives:
To evaluate the usefulness of intravoxel incoherent motion (IVIM) histogram analysis for differentiating low-grade meningiomas (LGMs) and high-grade meningiomas (HGMs).
Materials And Methods:
Fifty-nine patients with pathologically confirmed meningiomas (45 LGMs and 14 HGMs) underwent IVIM MR imaging. Maps of IVIM parameters (perfusion fraction, f; true diffusion coefficient, D; and pseudo diffusion coefficient, D*), as well as of the apparent diffusion coefficient (ADC), were generated. Histogram analysis was performed using parametric values from all voxels in regions-of-interest manually drawn to encompass the whole tumor. The histogram results of ADC and IVIM parameters were compared using the Mann-Whitney U test. Area under the receiver operating characteristic curve (AUC) values were generated to evaluate how well each parameter could differentiate LGMs from HGMs. Spearman's rank correlation coefficients were used to evaluate correlations between histogram parameters and Ki-67 expression.
Results:
Compared to LGM, HGM showed significantly higher standard deviation (SD), variance, and coefficient of variation (CV) of ADC (p< 0.006-0.028; AUC, 0.693-0.748), D (p< 0.004-0.032; AUC, 0.670-0.752), and significantly higher CV of f (p< 0.005-0.024; AUC = 0.737). Means and percentiles of ADC and IVIM parameters did not differ significantly between LGM and HGM. Significant positive correlations were identified between Ki-67 and histogram parameters of ADC (SD, variance, kurtosis, skewness, and CV) and D (SD, variance, kurtosis, and CV), whereas no significant correlation with Ki-67 was shown for mean or percentiles of ADC and IVIM parameters.
Conclusion:
Heterogeneity histogram parameters of ADC, D, and f may be useful for differentiating LGMs from HGMs.
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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