Analysis of relationship among the MRI manifestations,pathology and relapse of benign meningiomas
FU Yao-hui
YU Jian-feng
Abstract:Objective To study relationship among the MRI manifestations ,pathology and relapse of benign meningio‐mas .Methods 60 patients with benign meningioma patients treated during a period from January 2011 to January 2014 were selected ,in which 30 patients with primary meningioma were taken as the control group ,and the remaining 30 pa‐tients with recurrent meningioma as the observation group .The parameters ,in terms of gender ,age ,tumor morphology and other indicators of patients in two groups ,taken as independent variables ,were subjected to multivariate Logistic re‐gression analysis .Also ,pathological types ,the involved locations ,and MRI findings of patients in two groups were com‐pared and analyzed .Results Logistic regression analysis showed that ,when the aneurysms involved the intracranial and extracranial communication or important intracranial structurs ,the benign meningiomas had high risk of recurrence .The rate of intracranial and extracranial communicating tumors or the involvement of important brain structure of patients in observation group was significantly higher tha that of patients in control group .The patients with tumors located beside the sinus and in skull base in the observation group were more than those in the control group of patients ,with statistically differences ( P <0 .05) .However ,the location ,histological type ,tumor morphology ,degree of peritumoral edema ,and volume size of patients with meningioma in two groups were not shown statistically different ( P >0 .05) .Conclusion MRI can predict prognosis and recurrence of benign meningiomas ,thereby playing an important role in this disorder .
Keywords:Benign meningiomaMagnetic resonancePathologyCourseRelapse
Publication Date:2015-01-01
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:4( 414-416,421 )
Journal of Medical Imaging

Journal of Medical Imaging

ISTIC
ISSN:1006-9011
Year, Vol.(Issue):2015,(3)