Predicting Meningioma Consistency on Preoperative Neuroimaging Studies
- PMID: 27012379
- PMCID: PMC4936899
- DOI: 10.1016/j.nec.2015.11.007
Predicting Meningioma Consistency on Preoperative Neuroimaging Studies
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.
Keywords: Consistency; Firmness; MRI; Meningioma; Minimally invasive neurosurgery; Neurosurgical planning; Prediction; Texture.
Copyright © 2016 Elsevier Inc. All rights reserved.
Figures
References
-
- Zada G, Yashar P, Robison A, et al. A proposed grading system for standardizing tumor consistency of intracranial meningiomas. Neurosurg Focus. 2013;35(6):E1. - PubMed
-
- Zada G, Du R, Laws ER., Jr Defining the “edge of the envelope”: patient selection in treating complex sellar-based neoplasms via transsphenoidal versus open craniotomy. J Neurosurg. 2011;114(2):286–300. - PubMed
-
- Watanabe K, Kakeda S, Yamamoto J, et al. Prediction of hard meningiomas: quantitative evaluation based on the magnetic resonance signal intensity. Acta Radiol. 2015 - PubMed
-
- Ortega-Porcayo LA, Ballesteros-Zebadua P, Marrufo-Melendez OR, et al. Prediction of mechanical properties and subjective consistency of meningiomas using T1-T2 assessment vs Fractional Anisotropy. World Neurosurg. 2015 - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
