Clinical value of MRI features predicting hemangiopericytoma and angiomatous meningioma

Abstract

Objective To investigate the clinical value of preoperative MRI features for predicting hemangiopericytoma (HPC) and angiomatous meningioma. Methods From January 2005 to December 2014, 12 patients with HPC and 17 with angiomatous meningioma admitted to the Department of Neurosurgery, Nanfang Hospital, Southern Medical University were analyzed retrospectively, and pathological diagnosis was conducted according to the WHO 2007 grading criteria. Preoperative MRI parameters included tumor location, tumor size, tumor shape, T1-weighted imaging, T2-weighted imaging, T1-enhanced imaging, apparent diffusion coefficient (ADC) value, fluid-attenuated inversion recovery (FLAIR) imaging, peritumoral edema, dural tail sign, vascular flow void shadow, subarachnoid space in T2-weighted imaging, and tumor hemorrhage or necrosis. The relationship between the two types of tumor imaging features and clinical pathology were detected by using univariate analysis. Logistic regression model was used to evaluate the relationship between these parameters and HPC. Results The results of univariate analysis showed that there were significant differences between age, gender, ADC value, tumor necrosis of two types of tumors and T1-enhanced imaging (P<0.05). Logistic regression model demonstrated that the ADC value was the only independent predictor of HPC (P=0.039, OR: 14.5, 95%CI: 3.7-38.6). Conclusions ADC value can be used as a simple and effective tool to identify primary intracranial HPC and angiomatous meningioma. The possibility of HPC in patients with preoperative DWI hypointensity and high ADC coefficient is greater Key words: Central nervous system neoplasms; Hemangiopericytoma; Meningioma; Magnetic resonance imaging; Apparent diffusion coefficient