Prognostic implication of preoperative behavior changes in patients with primary high-grade meningiomas.
Andrej VranicFrederic GilbertPublished in: TheScientificWorldJournal (2014)
High-grade meningiomas are rare extra-axial tumors, frequently causing brain invasion and prominent brain edema. Patients harboring high-grade meningiomas occasionally present with behavior changes. Data about frequency and prognostic importance of preoperative behavior changes in patients with high-grade meningiomas is missing. 86 patients with primary high-grade meningiomas were analyzed. Statistical analysis was performed to determine correlation of preoperative behavior changes with tumor location, preoperative brain edema, tumor cleavability, tumor grade, Ki67 proliferation index, and microscopic brain invasion. Survival analysis was performed. 30 (34.9%) patients presented with preoperative behavior changes. These changes were more frequent with male patients (P = 0.066) and patients older than 55 years (P = 0.018). They correlated with frontal location (P = 0.013), tumor size (P = 0.023), microscopic brain invasion (P = 0.015), and brain edema (P = 0.006). Preoperative behavior changes did not correlate with duration of symptoms, tumor cleavability, tumor malignancy grade, and Ki67 proliferation index. They were not significantly related to overall survival or recurrence-free survival of patients with primary high-grade meningiomas. Preoperative behavior changes are frequent in patients harboring primary high-grade meningiomas. They correlate with tumor size, microscopic brain invasion, and brain edema. Preoperative behavior changes do not predict prognosis in patients with primary high-grade meningiomas.
Keyphrases
- high grade
- low grade
- end stage renal disease
- ejection fraction
- newly diagnosed
- white matter
- resting state
- free survival
- prognostic factors
- radiation therapy
- functional connectivity
- squamous cell carcinoma
- patient reported outcomes
- signaling pathway
- physical activity
- working memory
- cerebral ischemia
- data analysis
- artificial intelligence
- patient reported