NDLI: Differentiation of typical and atypical meningiomas using magnetic resonance imaging

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Differentiation of typical and atypical meningiomas using magnetic resonance imaging

Content Provider	Scilit
Author	Naseed, Mohammad Nazir, Imran Rafiq, Suhail Shaheen, Feroze Dar, Musaib Ahmad
Copyright Year	2021
Abstract	Background: Meningiomas are the most common intracranial neoplasms. They are usually homogeneously enhancing extraaxial masses. However, 10% of meningiomas are atypical with different imaging appearance. Distinguishing typical from atypical meningiomas on imaging is highly important in surgical and treatment planning. Materials and Methods: Our study was a retrospective one comprising twenty cases each of pathologically proven typical and atypical meningiomas excluding enplaque lesions. Magnetic resonance images were reviewed with each of the lesions showed as dural-based enhancing mass. Individual features analyzed were age, gender, maximum size, location, signal characteristics on T1, T2 weighted, susceptibility weighted imaging , diffusion-weighted, apparent diffusion coefficient, contrast-enhanced T1, interface with adjacent brain tissue, signal changes in adjacent brain tissue, and changes in overlying bone. Aim: The aim of the study is to retrospectively assess the magnetic resonance imaging (MRI) features of pathologically proven typical and atypical meningiomas. Results: Magnetic resonance features such as diffusion restriction, bony changes in form of destruction, indistinct interface with brain parenchyma, heterogeneous postcontrast enhancement, and edematous changes >6 mm thick in adjacent brain parenchyma were in favor of atypical meningioma. Conclusion: MRI has the ability to differentiate typical and atypical meningiomas based on imaging appearance which is important in surgical and treatment planning.
Related Links	https://www.mmjonweb.org/article.asp?issn=2070-1128;year=2021;volume=20;issue=1;spage=17;epage=20;aulast=Nazir;type=2
File Format	XHTML
ISSN	20701128
DOI	10.4103/mj.mj_36_20
Journal	Mustansiriya Medical Journal
Issue Number	1
Volume Number	20
Language	English
Publisher	Medknow
Publisher Date	2021-01-01
Access Restriction	Open
Subject Keyword	Neuroimaging Magnetic Resonance Imaging Meningioma Magnetic Resonance Spectroscopy Mustansiriya Medical Journal, Volume 20, Issue 1
Content Type	Text
Resource Type	Article

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