Abstract
The aim of the study was to investigate the association between meningioma volume and the occurrence of clinic-radiologic signs of tumor aggressiveness. For volumetric approximation, the authors evaluated the method of semiautomatic image segmentation at hand of high-resolution MRI-image sequences. ITK-SNAP was utilized for semiautomatic image segmentation of 58 gadolinium-contrast enhanced T1-weighted thin-slice MRI datasets for volumetric analysis. Furthermore, multimodal imaging datasets (including T2, FLAIR, T1) were evaluated for radiological biomarkers of aggressiveness and growth potential. Thereby generated data was checked for association with retrospectively collected data points. Location (P = 0.001), clinical disease manifestation (P = 0.033), peritumoral edema (P = 0.038), tumor intrinsic cystic degeneration (P = 0.007), three-dimensional complexity (P = 0.022), and the presence of meningioma mass effect (P = 0.001) were statistically associated with higher tumor volumes. There was no association between higher tumor volumes and histopathological tumor grade. The size of a meningioma does not seem to reliably predict tumor grade. Growth potential seems to be influenced by tumor location. Higher tumor volumes were significantly associated with the occurrence of clinical symptoms.
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