Predicting Meningioma Consistency on Preoperative Neuroimaging Studies
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.
Medical Subject Headings
Brain (diagnostic imaging, pathology); Diffusion Magnetic Resonance Imaging (methods); Elasticity Imaging Techniques (methods); Humans; Magnetic Resonance Spectroscopy (methods); Meningeal Neoplasms (diagnostic imaging, pathology); Meningioma (diagnostic imaging, pathology); Tomography, Emission-Computed (methods)
Neurosurgery clinics of North America
Digital Object Identifier (DOI)
Shiroishi, Mark S.; Cen, Steven Y.; Tamrazi, Benita; D'Amore, Francesco; Lerner, Alexander; King, Kevin S.; Kim, Paul E.; Law, Meng; Hwang, Darryl H.; Boyko, Orest B.; and Liu, Chia-Shang J., "Predicting Meningioma Consistency on Preoperative Neuroimaging Studies" (2016). Neuroradiology. 58.