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Predicting Meningioma Consistency on Preoperative Neuroimaging Studies

Authors :
Mark S. Shiroishi
Kevin S. King
Paul E. Kim
Alexander Lerner
Chia-Shang J. Liu
Francesco D'Amore
Meng Law
Benita Tamrazi
Steven Cen
Darryl Hwang
Orest B. Boyko
Source :
Neurosurgery Clinics of North America. 27:145-154
Publication Year :
2016
Publisher :
Elsevier BV, 2016.

Abstract

This article provides an overview of the neuroimaging literature focused on preoperative prediction of meningioma consistency. A validated, noninvasive neuroimaging method to predict tumor consistency can provide valuable information regarding neurosurgical planning and patient counseling. Most of the neuroimaging literature indicates conventional MRI using T2-weighted imaging may be helpful to predict meningioma consistency; however, further rigorous validation is necessary. Much less is known about advanced MRI techniques, such as diffusion MRI, MR elastography (MRE), and MR spectroscopy. Of these methods, MRE and diffusion tensor imaging appear particularly promising.

Details

ISSN :
10423680
Volume :
27
Database :
OpenAIRE
Journal :
Neurosurgery Clinics of North America
Accession number :
edsair.doi.dedup.....e4398c36d04bcba89c28e60cc07bb246
Full Text :
https://doi.org/10.1016/j.nec.2015.11.007