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.
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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
References
Andrew A. Badachhape, Ramona S. Durham, Brent D. Efron, Ruth J. Okamoto, Curtis L. Johnson, Philip V. Bayly (2016) In vivo characterization of the human skull-brain interface using magnetic resonance elastography. Proc. 2016 Biomed. Eng. Soc. Annu. Meet.
Asbach P, Klatt D, Hamhaber U, Braun J, Somasundaram R, Hamm B, Sack I (2008) Assessment of liver viscoelasticity using multifrequency MR elastography. Magn Reson Med 60:373–379. doi:10.1002/mrm.21636
Braun J, Guo J, Lützkendorf R, Stadler J, Papazoglou S, Hirsch S, Sack I, Bernarding J (2014) High-resolution mechanical imaging of the human brain by three-dimensional multifrequency magnetic resonance elastography at 7T. NeuroImage 90:308–314. doi:10.1016/j.neuroimage.2013.12.032
Chauvet D, Imbault M, Capelle L, Demene C, Mossad M, Karachi C, Boch A-L, Gennisson J-L, Tanter M (2015) In vivo measurement of brain tumor elasticity using intraoperative shear wave elastography. Ultraschall der Medizin-Eur J Ultrasound. doi:10.1055/s-0034-1399152
Clayton EH, Genin GM, Bayly PV (2012) Transmission, attenuation and reflection of shear waves in the human brain. J R Soc Interface 9:2899–2910. doi:10.1098/rsif.2012.0325
Fehlner A, Hirsch S, Weygandt M, Christophel T, Barnhill E, Kadobianskyi M, Braun J, Bernarding J, Lützkendorf R, Sack I, Hetzer S (2016) Increasing the spatial resolution and sensitivity of magnetic resonance elastography by correcting for subject motion and susceptibility-induced image distortions. J Magn Reson Imaging. doi:10.1002/jmri.25516
Fehlner A, Papazoglou S, McGarry MD, Paulsen KD, Guo J, Streitberger K-J, Hirsch S, Braun J, Sack I (2015) Cerebral multifrequency MR elastography by remote excitation of intracranial shear waves. NMR Biomed 28:1426–1432. doi:10.1002/nbm.3388
Guo J, Hirsch S, Fehlner A, Papazoglou S, Scheel M, Braun J, Sack I (2013) Towards an elastographic atlas of brain anatomy. PLoS One. doi:10.1371/journal.pone.0071807
Holland D, Kuperman JM, Dale AM (2011) Efficient correction of inhomogeneous static magnetic field-induced distortion in echo planar imaging. NeuroImage 50:1–18. doi:10.1016/j.neuroimage.2009.11.044.Efficient
Hoover JM, Morris JM, Meyer FB (2011) Use of preoperative magnetic resonance imaging T1 and T2 sequences to determine intraoperative meningioma consistency. Surg Neurol Int 2:142. doi:10.4103/2152-7806.85983
Hughes JD, Fattahi N, Van Gompel J, Arani A, Meyer F, Lanzino G, Link MJ, Ehman R, Huston J (2015) Higher-resolution magnetic resonance elastography in meningiomas to determine intratumoral consistency. Neurosurgery 77:653–659. doi:10.1227/NEU.0000000000000892
Di Ieva A, Grizzi F, Rognone E, Tse ZTH, Parittotokkaporn T, Rodriguez y Baena F, Tschabitscher M, Matula C, Trattnig S, Rodriguez y Baena R (2010) Magnetic resonance elastography: a general overview of its current and future applications in brain imaging. Neurosurg Rev 33:137–145. doi: 10.1007/s10143-010-0249-6
Johnson CL, Holtrop JL, McGarry MD, Weaver JB, Paulsen KD, Georgiadis JG, Sutton BP (2014) 3D multislab, multishot acquisition for fast, whole-brain MR elastography with high signal-to-noise efficiency. Magn Reson Med 71:477–485
Johnson CL, Schwarb H, D.J. McGarry M, Anderson AT, Huesmann GR, Sutton BP, Cohen NJ (2016) Viscoelasticity of subcortical gray matter structures. Hum Brain Mapp doi: 10.1002/hbm.23314
Kai Y, Hamada JI, Morioka M, Yano S, Todaka T, Ushio Y (2002) Appropriate interval between embolization and surgery in patients with meningioma. Am J Neuroradiol 23:139–142
Kashimura H, Inoue T, Ogasawara K, Arai H, Otawara Y, Kanbara Y, Ogawa A (2007) Prediction of meningioma consistency using fractional anisotropy value measured by magnetic resonance imaging. J Neurosurg 107:784–787. doi:10.3171/jns-07/10/0784
Kruse SA, Rose GH, Glaser KJ, Manduca A, Felmlee JP, Jack CR, Ehman RL (2008) Magnetic resonance elastography of the brain. NeuroImage 39:231–237. doi:10.1016/j.neuroimage.2007.08.030
Kurt M, Han Lv, Kaveh Laksari, Lyndia Wu, Karla Epperson, David B. Camarillo, Kim B. Pauly, Max Wintermark (2016) In vivo multi-frequency magnetic resonance elastography of the human brain: which frequencies matter? Proc. 2016 Biomed. Eng. Soc. Annu. Meet.
Low G (2016) General review of magnetic resonance elastography. World J Radiol 8:59. doi:10.4329/wjr.v8.i1.59
Manduca A, Oliphant TE, Dresner MA, Mahowald JL, Kruse SA, Amromin E, Felmlee JP, Greenleaf JF, Ehman RL (2001) Magnetic resonance elastography: non-invasive mapping of tissue elasticity. Med Image Anal 5:237–254. doi:10.1016/S1361-8415(00)00039-6
Mariappan YK, Glaser KJ, Ehman RL (2010) Magnetic resonance elastography: a review. Clin Anat 23:497–511. doi:10.1002/ca.21006
McGrath DM, Ravikumar N, Beltrachini L, Wilkinson ID, Frangi AF, Taylor ZA (2016) Evaluation of wave delivery methodology for brain MRE: insights from computational simulations. Magn Reson Med n/a-n/a. doi:10.1002/mrm.26333
McGrath DM, Ravikumar N, Wilkinson ID, Frangi AF, Taylor ZA (2016) Magnetic resonance elastography of the brain: an in silico study to determine the influence of cranial anatomy. Magn Reson Med 76:645–662. doi:10.1002/mrm.25881
Murphy MC, Huston J, Glaser KJ, Manduca A, Meyer FB, Lanzino G, Morris JM, Felmlee JP, Ehman RL (2013) Preoperative assessment of meningioma stiffness using magnetic resonance elastography. J Neurosurg 118:643–648. doi:10.3171/2012.9.JNS12519
Muthupillai R, Lomas D, Rossman P, Greenleaf J, Manduca A, Ehman R (1995) Magnetic resonance elastography by direct visualization of propagating acoustic strain waves. Science (80- ) 269:1854–1857. doi: 10.1126/science.7569924
Okamoto RJ, Clayton EH, Bayly PV (2011) Viscoelastic properties of soft gels: comparison of magnetic resonance elastography and dynamic shear testing in the shear wave regime. Phys Med Biol 56:6379–6400. doi:10.1088/0031-9155/56/19/014
Ortega-Porcayo LA, Ballesteros-Zebadúa P, Marrufo-Meléndez OR, Ramírez-Andrade JJ, Barges-Coll J, Tecante A, Ramírez-Gilly M, Gómez-Amador JL (2015) Prediction of mechanical properties and subjective consistency of meningiomas using T1-T2 assessment versus fractional anisotropy. World Neurosurg 84:1691–1698. doi:10.1016/j.wneu.2015.07.018
Papazoglou S, Hirsch S, Braun J, Sack I (2012) Multifrequency inversion in magnetic resonance elastography. Phys Med Biol 57:2329–2346. doi:10.1088/0031-9155/57/8/2329
Reiss-Zimmermann M, Streitberger K-J, Sack I, Braun J, Arlt F, Fritzsch D, Hoffmann K-T (2015) High resolution imaging of viscoelastic properties of intracranial tumours by multi-frequency magnetic resonance elastography. Clin Neuroradiol 25:371–378. doi:10.1007/s00062-014-0311-9
Romani R, Tang W, Mao Y, Wang D, Tang H, Zhu F, Che X, Gong Y, Zheng K, Zhong P, Li S, Bao W, Benner C, Wu J, Zhou L (2014) Diffusion tensor magnetic resonance imaging for predicting the consistency of intracranial meningiomas. Acta Neurochir 156:1837–1845. doi:10.1007/s00701-014-2149-y
Sack I, Beierbach B, Wuerfel J, Klatt D, Hamhaber U, Papazoglou S, Martus P, Braun J (2009) The impact of aging and gender on brain viscoelasticity. NeuroImage 46:652–657. doi:10.1016/j.neuroimage.2009.02.040
Shiroishi MS, Cen SY, Tamrazi B, D’Amore F, Lerner A, King KS, Kim PE, Law M, Hwang DH, Boyko OB, Liu CSJ (2016) Predicting meningioma consistency on preoperative neuroimaging studies. Neurosurg Clin N Am 27:145–154. doi:10.1016/j.nec.2015.11.007
Sitthinamsuwan B, Khampalikit I, Nunta-aree S, Srirabheebhat P, Witthiwej T, Nitising A (2012) Predictors of meningioma consistency: a study in 243 consecutive cases. Acta Neurochir 154:1383–1389. doi:10.1007/s00701-012-1427-9
Smith KA, Leever JD, Chamoun RB (2015) Prediction of consistency of pituitary adenomas by magnetic resonance imaging. J Neurol Surgery, Part B Skull Base 76:340–343. doi:10.1055/s-0035-1549005
Teasdale E, Patterson J, McLellan D, Macpherson P (1984) Subselective preoperative embolization for meningiomas. J Neurosurg 60:506–511. doi:10.3171/jns.1984.60.3.0506
Watanabe K, Kakeda S, Yamamoto J, Ide S, Ohnari N, Nishizawa S, Korogi Y (2016) Prediction of hard meningiomas: quantitative evaluation based on the magnetic resonance signal intensity. Acta Radiol 57:333–340. doi:10.1177/0284185115578323
Xu L, Lin Y, Han JC, Xi ZN, Shen H, Gao PY (2007) Magnetic resonance elastography of brain tumors: preliminary results. Acta Radiol 48:327–330. doi:10.1080/02841850701199967
Yamaguchi N, Kawase T, Sagoh M, Ohira T, Shiga H, Toya S (1997) Prediction of consistency of meningiomas with preoperative magnetic resonance imaging. Surg Neurol 48:579–583. doi:10.1016/S0090-3019(96)00439-9
Yao A, Pain M, Balchandani P, Shrivastava RK (2016) Can MRI predict meningioma consistency?: a correlation with tumor pathology and systematic review. Neurosurg Rev. doi:10.1007/s10143-016-0801-0
Yrjänä SK, Tuominen H, Karttunen A, Lähdesluoma N, Heikkinen E, Koivukangas J (2006) Low-field MR imaging of meningiomas including dynamic contrast enhancement study: evaluation of surgical and histopathologic characteristics. Am J Neuroradiol 27:2128–2134
Zada G, Yashar P, Robison A, Winer J, Khalessi A, Mack WJ, Giannotta SL (2013) A proposed grading system for standardizing tumor consistency of intracranial meningiomas. Neurosurg Focus 35:E1. doi:10.3171/2013.8.FOCUS13274
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Highlights
- MRE is a promising tool for preoperative meningioma consistency determinations.
- Previous studies have only used a single frequency for measurement acquisition, which may limit the applicability of the results.
- Previous studies have measured the storage modulus, which may not yield clinical results as reliable as the storage and loss moduli do, separately.
- Improved understanding of MRE measurements may be needed prior to clinical application.
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Chartrain, A.G., Kurt, M., Yao, A. et al. Utility of preoperative meningioma consistency measurement with magnetic resonance elastography (MRE): a review. Neurosurg Rev 42, 1–7 (2019). https://doi.org/10.1007/s10143-017-0862-8
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DOI: https://doi.org/10.1007/s10143-017-0862-8