Differentiating meningioma grade by imaging features on magnetic resonance imaging

AT Hale, L Wang, MK Strother… - Journal of Clinical …, 2018 - Elsevier
Journal of Clinical Neuroscience, 2018Elsevier
Atypical meningioma has an aggressive clinical course. Distinguishing atypical from benign
meningioma preoperatively could affect surgical planning and improve treatment outcomes.
In this study, we examined whether pre-operative magnetic resonance imaging (MRI)
features could distinguish between benign and atypical meningioma. Imaging factors
analyzed included peritumoral edema, the presence of a draining vein, tumor necrosis,
tumor location and tumor volume. Using univariate analysis, the most striking predictor of …
Abstract
Atypical meningioma has an aggressive clinical course. Distinguishing atypical from benign meningioma preoperatively could affect surgical planning and improve treatment outcomes. In this study, we examined whether pre-operative magnetic resonance imaging (MRI) features could distinguish between benign and atypical meningioma. Imaging factors analyzed included peritumoral edema, the presence of a draining vein, tumor necrosis, tumor location and tumor volume. Using univariate analysis, the most striking predictor of grade was tumor volume (p < .001). When adjusting for the degree of peritumoral edema, volume remained a positive predictor of higher histological grade meningioma (p = .042) and was the strongest single predictor of higher-grade meningioma in this study. Additional imaging features associated with increased risk for atypical pathology in univariate analysis included the presence of tumor necrosis (p = .012), peritumoral edema (p = .022) and location along the falx and convexity (p = .026). Despite statistically significant associations using univariate analysis, in multivariate analysis, we found that only presence of peritumoral edema was predictive of a higher-grade meningioma. Further multivariate analyses suggests that edema, draining vein and necrosis are all positive predictors of tumor volume (p < .0001). Overall, these data suggest that radiographic features including presence of tumor necrosis, and tumor location along the falx or convexity may be predictive of higher-grade meningioma when considered alone. However, most strikingly, our data point to tumor volume as the most robust pre-operative indicator of higher-grade meningioma.
Elsevier
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