| Literature DB >> 27012379 |
Mark S Shiroishi1, Steven Y Cen2, Benita Tamrazi3, Francesco D'Amore2, Alexander Lerner2, Kevin S King2, Paul E Kim2, Meng Law2, Darryl H Hwang2, Orest B Boyko2, Chia-Shang J Liu2.
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.Entities:
Keywords: Consistency; Firmness; MRI; Meningioma; Minimally invasive neurosurgery; Neurosurgical planning; Prediction; Texture
Mesh:
Year: 2016 PMID: 27012379 PMCID: PMC4936899 DOI: 10.1016/j.nec.2015.11.007
Source DB: PubMed Journal: Neurosurg Clin N Am ISSN: 1042-3680 Impact factor: 2.509