Characterization of Murine Glioma by Magnetic Resonance Elastography: Preliminary Results

  • Erik H. Clayton
  • John A. Engelbach
  • Joel R. Garbow
  • Philip V. Bayly
Conference paper
Part of the Conference Proceedings of the Society for Experimental Mechanics Series book series (CPSEMS)

Abstract

Magnetic resonance elastography (MRE) is a non-invasive imaging technique that permits quantitative measurement of the mechanical properties of biological tissue. In MRE, coherent tissue displacements are induced by a mechanical actuator and images are collected in synchrony with these mechanical motions. Components of displacement in any direction can be measured by applying the motion-encoding gradients along that direction. The mechanical properties of tissue are derived by fitting measured displacement data to the equations governing wave propagation. A number of groups have explored the diagnostic value of MRE in the clinical setting, driven largely by the empirically observed relationship between tissue health and stiffness. The investigation of MRI methods as biomarkers of tumor progression and early therapeutic response remains an extremely active and important area of research. In this regard, MRE has considerable potential for staging cancer and monitoring the effects of therapy. We seek to demonstrate the utility of MRE for cancer staging by tracking the viscoelastic properties of brain tumor in a mouse model of high-grade glioma. Brain tissue viscoelasticity cannot be probed in vivo by any other known imaging technique, yet is suspected to contain valuable information about tissue health. Preliminary results indicate elastographic sensitivity to the presence of brain tumors in the living mouse.

Keywords

Material Mechanical properties Non invasive Brain Tumor MR imaging 

Notes

Acknowledgements

Financial support was provided by NIH RO1 NS055951 (Bayly), the Alvin J. Siteman Cancer Center at Washington University in St. Louis, an NCI Comprehensive Cancer Center (P30 CA91842), and through pilot funds from the Mallinckrodt Institute of Radiology at Washington University in St. Louis (Bayly/Garbow/Clayton).

References

  1. 1.
    Muthupillai R, Lomas DJ, Rossman PJ, Greenleaf JF, Manduca A, Ehman RL (1995) Magnetic resonance elastography by direct visualization of propagating acoustic strain waves. Science 269:1854–1857CrossRefGoogle Scholar
  2. 2.
    Yin M, Woollard J, Wang X, Torres VE, Harris PC, Ward CJ, Glaser KJ, Manduca A, Ehman RL (2007) Quantitative assessment of hepatic fibrosis in an animal model with magnetic resonance elastography. Magn Reson Med 58:346–353CrossRefGoogle Scholar
  3. 3.
    Diguet E, Van Houten E, Green M, Sinkus R (2009) High resolution MR-elastography mouse brain study: towards a mechanical atlas. In: Proceedings of the international society for magnetic resonance in medicine, p 714Google Scholar
  4. 4.
    Pattison AJ, Lollis SS, Perrinez PR, Perreard IM, Mcgarry MDJ, Weaver JB, Paulsen KD (2010) Time-harmonic magnetic resonance elastography of the normal feline brain. J Biomech 43:2747–52CrossRefGoogle Scholar
  5. 5.
    Schregel K, Wuerfel E, Wuerfel J, Petersen D, Sinkus R (2010) Viscoelastic properties change at an early stage of cuprizone induced affection of oligodendrocytes in the corpus callosum of C57/black6 mice. In: Proceedings of the international society for magnetic resonance in medicine, p 2134Google Scholar
  6. 6.
    Murphy MC, Curran GL, Glaser KJ, Rossman PJ, Huston J 3, Poduslo JF, Jack CR Jr, Felmlee JP, Ehman RL (2012) Magnetic resonance elastography of the brain in a mouse model of Alzheimer’s disease: initial results. Magn Reson Imaging 30:535–539CrossRefGoogle Scholar
  7. 7.
    Atay SM, Kroenke CD, Sabet A, Bayly PV (2008) Measurement of the dynamic shear modulus of mouse brain tissue in vivo by magnetic resonance elastography. J Biomech Eng 130:021013CrossRefGoogle Scholar
  8. 8.
    Clayton EH, Garbow JR, Bayly PV (2011) Frequency-dependent viscoelastic parameters of mouse brain tissue estimated by MR elastography. Phys Med Biol 56:2391–2406CrossRefGoogle Scholar
  9. 9.
    Jost SC, Wanebo JE, Song SK, Chicoine MR, Rich KM, Woolsey TA, Lewis JS, Mach RH, Xu J, Garbow JR (2007) In vivo imaging in a murine model of glioblastoma. Neurosurgery 60:360–371CrossRefGoogle Scholar

Copyright information

© The Society for Experimental Mechanics, Inc. 2013

Authors and Affiliations

  • Erik H. Clayton
    • 1
  • John A. Engelbach
    • 2
  • Joel R. Garbow
    • 2
  • Philip V. Bayly
    • 1
    • 3
  1. 1.Department of Mechanical Engineering & Materials ScienceWashington University in St. LouisSaint LouisUSA
  2. 2.Department of RadiologyWashington University in St. LouisSaint LouisUSA
  3. 3.Department of Biomedical EngineeringWashington University in St. LouisSaint LouisUSA

Personalised recommendations