Literature DB >> 9400639

Prediction of consistency of meningiomas with preoperative magnetic resonance imaging.

N Yamaguchi1, T Kawase, M Sagoh, T Ohira, H Shiga, S Toya.   

Abstract

BACKGROUND: The consistency of a meningioma is one of the important factors in determining the surgical outcome. If the surgeon is aware of the consistency of a meningioma preoperatively, the surgical plans will be influenced. A few papers have described the correlation between consistency of meningiomas and their magnetic resonance imaging (MRI) findings. However, prediction of consistency with MRI is still difficult. We have tried to predict the consistency of meningiomas with MRI findings more precisely. METHODS AND
RESULTS: Fifty patients diagnosed as having intracranial meningiomas were studied with 1.5 Tesla MRI. We compared the MRI findings with tumor consistency. The intensities of the tumors were categorized into three grades (low, iso, and high) compared to that of the gray matter. T1-weighted images had no specifics, but T2-weighted images and proton density images were useful for the prediction of tumor consistency. Hyperintensity on protein density (PD) and T2-weighted images was a sign of a soft tumor.
CONCLUSION: We presume that T2 and PD are useful for predicting consistency of meningiomas, and their water content is one of the main factors in their consistency. Histology may be one of the factors helpful in defining the consistency of a tumor. In this series, we found no relationship between histology and MRI findings, nor between histology and consistency. If the meningioma is believed to be hard, preoperative endovascular embolization is beneficial, which will induce necrosis of the meningioma and make it soft enough to be removed more easily and safety.

Entities:  

Mesh:

Year:  1997        PMID: 9400639     DOI: 10.1016/s0090-3019(96)00439-9

Source DB:  PubMed          Journal:  Surg Neurol        ISSN: 0090-3019


  16 in total

1.  Low-field MR imaging of meningiomas including dynamic contrast enhancement study: evaluation of surgical and histopathologic characteristics.

Authors:  S K Yrjänä; H Tuominen; A Karttunen; N Lähdesluoma; E Heikkinen; J Koivukangas
Journal:  AJNR Am J Neuroradiol       Date:  2006 Nov-Dec       Impact factor: 3.825

Review 2.  Magnetic resonance elastography: a general overview of its current and future applications in brain imaging.

Authors:  Antonio Di Ieva; Fabio Grizzi; Elisa Rognone; Zion Tsz Ho Tse; Tassanai Parittotokkaporn; Ferdinando Rodriguez Y Baena; Manfred Tschabitscher; Christian Matula; Siegfrid Trattnig; Riccardo Rodriguez Y Baena
Journal:  Neurosurg Rev       Date:  2010-02-27       Impact factor: 3.042

3.  Appearance of meningiomas on diffusion-weighted images: correlating diffusion constants with histopathologic findings.

Authors:  C G Filippi; M A Edgar; A M Uluğ; J C Prowda; L A Heier; R D Zimmerman
Journal:  AJNR Am J Neuroradiol       Date:  2001-01       Impact factor: 3.825

Review 4.  Predicting Meningioma Consistency on Preoperative Neuroimaging Studies.

Authors:  Mark S Shiroishi; Steven Y Cen; Benita Tamrazi; Francesco D'Amore; Alexander Lerner; Kevin S King; Paul E Kim; Meng Law; Darryl H Hwang; Orest B Boyko; Chia-Shang J Liu
Journal:  Neurosurg Clin N Am       Date:  2016-02-18       Impact factor: 2.509

Review 5.  Can MRI predict meningioma consistency?: a correlation with tumor pathology and systematic review.

Authors:  Amy Yao; Margaret Pain; Priti Balchandani; Raj K Shrivastava
Journal:  Neurosurg Rev       Date:  2016-11-21       Impact factor: 3.042

6.  Higher-Resolution Magnetic Resonance Elastography in Meningiomas to Determine Intratumoral Consistency.

Authors:  Joshua D Hughes; Nikoo Fattahi; J Van Gompel; Arvin Arani; Fredric Meyer; Giuseppe Lanzino; Michael J Link; Richard Ehman; John Huston
Journal:  Neurosurgery       Date:  2015-10       Impact factor: 4.654

Review 7.  Utility of preoperative meningioma consistency measurement with magnetic resonance elastography (MRE): a review.

Authors:  Alexander G Chartrain; Mehmet Kurt; Amy Yao; Rui Feng; Kambiz Nael; J Mocco; Joshua B Bederson; Priti Balchandani; Raj K Shrivastava
Journal:  Neurosurg Rev       Date:  2017-05-31       Impact factor: 3.042

8.  Predicting Consistency of Meningioma by Magnetic Resonance Imaging.

Authors:  Kyle A Smith; John D Leever; Roukoz B Chamoun
Journal:  J Neurol Surg B Skull Base       Date:  2015-01-21

Review 9.  MR elastography of the brain and its application in neurological diseases.

Authors:  Matthew C Murphy; John Huston; Richard L Ehman
Journal:  Neuroimage       Date:  2017-10-07       Impact factor: 6.556

10.  Preoperative assessment of meningioma stiffness using magnetic resonance elastography.

Authors:  Matthew C Murphy; John Huston; Kevin J Glaser; Armando Manduca; Fredric B Meyer; Giuseppe Lanzino; Jonathan M Morris; Joel P Felmlee; Richard L Ehman
Journal:  J Neurosurg       Date:  2012-10-19       Impact factor: 5.115

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