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Neurosurgical Review

, Volume 42, Issue 1, pp 1–7 | Cite as

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

  • Alexander G. ChartrainEmail author
  • Mehmet Kurt
  • Amy Yao
  • Rui Feng
  • Kambiz Nael
  • J Mocco
  • Joshua B. Bederson
  • Priti Balchandani
  • Raj K. ShrivastavaEmail author
Review

Abstract

Meningioma consistency is a critical factor that influences preoperative planning for surgical resection. Recent studies have investigated the utility of preoperative magnetic resonance elastography (MRE) in predicting meningioma consistency. However, it is unclear whether existing methods are optimal for application to clinical practice. The results and conclusions of these studies are limited by their imaging acquisition methods, such as the use of a single MRE frequency and the use of shear modulus as the final measurement variable, rather than its storage and loss modulus components. In addition, existing studies do not account for the effects of cranial anatomy, which have been shown to significantly distort the MRE signal. Given the interaction of meningiomas with these anatomic structures and the lack of supporting evidence with more accurate imaging parameters, MRE may not yet be reliable for use in clinical practice.

Keywords

Magnetic resonance elastography Meningioma Tumor consistency 

Abbreviations

MRE

Magnetic resonance elastography

FLAIR

Fluid-attenuated inversion recovery

FA

Fractional anisotropy

DWI

Diffusion-weighted imaging

DTI

Diffusion tensor imaging

CT

Computed tomography

ICP

Intracranial pressure

Notes

Compliance with ethical standards

This work was performed ethically and complies with the ethical standards of our Institutional Review Board.

Disclosure of funding

None for all of the authors.

Conflict of interest

The authors declare that they have no conflict of interest.

Informed consent

Not required for this review as per our Institutional Review Board.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Alexander G. Chartrain
    • 1
    Email author
  • Mehmet Kurt
    • 2
  • Amy Yao
    • 1
  • Rui Feng
    • 1
  • Kambiz Nael
    • 1
  • J Mocco
    • 1
  • Joshua B. Bederson
    • 1
  • Priti Balchandani
    • 1
  • Raj K. Shrivastava
    • 1
    Email author
  1. 1.Department of NeurosurgeryIcahn School of Medicine at Mount SinaiNew YorkUSA
  2. 2.Department of Mechanical EngineeringStevens Institute of TechnologyHobokenUSA

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