High-Resolution Mechanical Imaging of Glioblastoma by Multifrequency Magnetic Resonance Elastography

2014 | journal article. A publication with affiliation to the University of Göttingen.

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​Streitberger, Kaspar-Josche, et al. "High-Resolution Mechanical Imaging of Glioblastoma by Multifrequency Magnetic Resonance Elastography​." ​PLoS ONE, vol. 9, no. 10, ​2014, , ​doi: 10.1371/journal.pone.0110588. 

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Authors
Streitberger, Kaspar-Josche; Reiss-Zimmermann, Martin; Freimann, Florian Baptist; Bayerl, Simon; Guo, Jing; Arlt, Felix; Wuerfel, Jens; Braun, Juergen; Hoffmann, Karl-Titus; Sack, Ingolf
Abstract
Objective: To generate high-resolution maps of the viscoelastic properties of human brain parenchyma for presurgical quantitative assessment in glioblastoma (GB). Methods: Twenty-two GB patients underwent routine presurgical work-up supplemented by additional multifrequency magnetic resonance elastography. Two three-dimensional viscoelastic parameter maps, magnitude vertical bar G vertical bar, and phase angle phi of the complex shear modulus were reconstructed by inversion of full wave field data in 2-mm isotropic resolution at seven harmonic drive frequencies ranging from 30 to 60 Hz. Results: Mechanical brain maps confirmed that GB are composed of stiff and soft compartments, resulting in high intratumor heterogeneity. GB could be easily differentiated from healthy reference tissue by their reduced viscous behavior quantified by phi (0.37 +/- 0.08 vs. 0.58 +/- 0.07). vertical bar G vertical bar, which in solids more relates to the material's stiffness, was significantly reduced in GB with a mean value of 1.32 +/- 0.26 kPa compared to 1.54 +/- 0.27 kPa in healthy tissue (P = 0.001). However, some GB (5 of 22) showed increased stiffness. Conclusion: GB are generally less viscous and softer than healthy brain parenchyma. Unrelated to the morphology-based contrast of standard magnetic resonance imaging, elastography provides an entirely new neuroradiological marker and contrast related to the biomechanical properties of tumors.
Issue Date
2014
Status
published
Publisher
Public Library Science
Journal
PLoS ONE 
ISSN
1932-6203
Sponsor
German Research Foundation (DFG) [Sa901/10]

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