Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.
ADVANCED SEARCH
Log in
Top
Clinical Neuroradiology
Published in: Clinical Neuroradiology 4/2015

01-12-2015 | Original Article

High Resolution Imaging of Viscoelastic Properties of Intracranial Tumours by Multi-Frequency Magnetic Resonance Elastography

Authors: M. Reiss-Zimmermann, MD, K.-J. Streitberger, MD, I. Sack, J. Braun, MD, F. Arlt, MD, D. Fritzsch, MD, K.-T. Hoffmann, MD

Published in: Clinical Neuroradiology | Issue 4/2015

Login to get access

Abstract

Purpose

In recent years Magnetic Resonance Elastography (MRE) emerged into a clinically applicable imaging technique. It has been shown that MRE is capable of measuring global changes of the viscoelastic properties of cerebral tissue. The purpose of our study was to evaluate a spatially resolved three-dimensional multi-frequent MRE (3DMMRE) for assessment of the viscoelastic properties of intracranial tumours.

Methods

A total of 27 patients (63±13 years) were included. All examinations were performed on a 3.0 T scanner, using a modified phase-contrast echo planar imaging sequence. We used 7 vibration frequencies in the low acoustic range with a temporal resolution of 8 dynamics per wave cycle. Post-processing included multi-frequency dual elasto-visco (MDEV) inversion to generate high-resolution maps of the magnitude |G*| and the phase angle φ of the complex valued shear modulus.

Results

The tumour entities included in this study were: glioblastoma (n = 11), anaplastic astrocytoma (n = 3), meningioma (n = 7), cerebral metastasis (n = 5) and intracerebral abscess formation (n = 1). Primary brain tumours and cerebral metastases were not distinguishable in terms of |G*| and φ. Glioblastoma presented the largest range of |G*| values and a trend was delineable that glioblastoma were slightly softer than WHO grade III tumours. In terms of φ, meningiomas were clearly distinguishable from all other entities.

Conclusions

In this pilot study, while analysing the viscoelastic constants of various intracranial tumour entities with an improved spatial resolution, it was possible to characterize intracranial tumours by their mechanical properties. We were able to clearly delineate meningiomas from intraaxial tumours, while for the latter group an overlap remains in viscoelastic terms.
Literature
1.
Essig M, Nguyen TB, Shiroishi MS, Saake M, Provenzale JM, Enterline DS, Anzalone N, Dörfler A, Rovira A, Wintermark M, Law M. Perfusion MRI: the five most frequently asked clinical questions. AJR Am J Roentgenol. 2013;201:W495–510.CrossRefPubMed
2.
Runge VM. Current technological advances in magnetic resonance with critical impact for clinical diagnosis and therapy. Invest Radiol. 2013;48:869–77.CrossRefPubMed
3.
Cha S. Update on brain tumor imaging: from anatomy to physiology. AJNR Am J Neuroradiol. 2006;27:475–87.PubMed
4.
Schaefer PW, Grant PE, Gonzalez RG. Diffusion-weighted MR imaging of the brain. Radiology. 2000;217:331–45.CrossRefPubMed
5.
6.
Christen T, Bolar DS, Zaharchuk G. Imaging brain oxygenation with MRI using blood oxygenation approaches: methods, validation, and clinical applications. AJNR Am J Neuroradiol. 2013;34:1113–23.CrossRefPubMed
7.
Radbruch A, Wiestler B, Kramp L, Lutz K, Bäumer P, Weiler M, Roethke M, Sahm F, Schlemmer HP, Wick W, Heiland S, Bendszus M. Differentiation of glioblastoma and primary CNS lymphomas using susceptibility weighted imaging. Eur J Radiol. 2013;82:552–6.CrossRefPubMed
8.
Tóth V, Förschler A, Hirsch NM, den Hollander J, Kooijman H, Gempt J, Ringel F, Schlegel J, Zimmer C, Preibisch C. MR-based hypoxia measures in human glioma. J Neurooncol. 2013;115:197–207.CrossRefPubMed
9.
Baldawa SS, Bele K, Menon G, George CV, Abraham M, Nair S. Susceptibility-weighted imaging: a new tool for detection of intratumoral bleeding and subarachnoid hemorrhage–report of two cases. Clin Neuroradiol. 2012;22:257–61.CrossRefPubMed
10.
Essig M, Anzalone N, Combs SE, Dorfler A, Lee SK, Picozzi P, Rovira A, Weller M, Law M. MR imaging of neoplastic central nervous system lesions: review and recommendations for current practice. AJNR Am J Neuroradiol. 2012;33:803–17.CrossRefPubMed
11.
Lin NU, Lee EQ, Aoyama H, Barani IJ, Baumert BG, Brown PD, Camidge DR, Chang SM, Dancey J, Gaspar LE. Challenges relating to solid tumour brain metastases in clinical trials, part 1: patient population, response, and progression. A report from the RANO group. Lancet Oncol. 2013;14:e396–406.CrossRefPubMed
12.
Faehndrich J, Weidauer S, Pilatus U, Oszvald A, Zanella FE, Hattingen E. Neuroradiological viewpoint on the diagnostics of space-occupying brain lesions. Clin Neuroradiol. 2011;21:123–39.CrossRefPubMed
13.
Xing Z, You RX, Li J, Liu Y, Cao DR. Differentiation of primary central nervous system lymphomas from high-grade gliomas by rCBV and percentage of signal intensity recovery derived from dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging. Clin Neuroradiol 2013; doi:10.1007/s00062-013-0255-5.
14.
Lee EJ, Ahn KJ, Lee EK, Lee YS, Kim DB. Potential role of advanced MRI techniques for the peritumoural region in differentiating glioblastoma multiforme and solitary metastatic lesions. Clin Radiol. 2013;68:e689–97.CrossRefPubMed
15.
Bühring U, Herrlinger U, Krings T, Thiex R, Weller M, Küker W. MRI features of primary central nervous system lymphomas at presentation. Neurology. 2001;57:393–6.CrossRefPubMed
16.
Toh CH, Wei K-C, Ng S-H, Wan Y-L, Lin C-P, Castillo M. Differentiation of brain abscesses from necrotic glioblastomas and cystic metastatic brain tumors with diffusion tensor imaging. AJNR Am J Neuroradiol. 2011;32:1646–51.CrossRefPubMed
17.
Romano A, Scheel M, Hirsch S, Braun J, Sack I. In vivo waveguide elastography of white matter tracts in the human brain. Magn Reson Med. 2012;68:1410–22.CrossRefPubMed
18.
Johnson CL, McGarry MDJ, Gharibans AA, Weaver JB, Paulsen KD, Wang H, Olivero WC, Sutton BP, Georgiadis JG. Local mechanical properties of white matter structures in the human brain. Neuroimage. 2013;79:145–52.PubMedCentralCrossRefPubMed
19.
Muthupillai R, Lomas DJ, Rossman PJ, Greenleaf JF, Manduca A, Ehman RL. Magnetic resonance elastography by direct visualization of propagating acoustic strain waves. Science. 1995;269:1854–7.CrossRefPubMed
20.
21.
Sack I, Beierbach B, Wuerfel J, Klatt D, Hamhaber U, Papazoglou S, Martus P, Braun J. The impact of aging and gender on brain viscoelasticity. Neuroimage. 2009;46:652–7.CrossRefPubMed
22.
Sack I, Streitberger K-J, Krefting D, Paul F, Braun J. The influence of physiological aging and atrophy on brain viscoelastic properties in humans. PLoS ONE. 2011;6:e23451.PubMedCentralCrossRefPubMed
23.
Streitberger KJ, Wiener E, Hoffmann J, Freimann FB, Klatt D, Braun J, Lin K, McLaughlin J, Sprung C, Klingebiel R, Sack I. In vivo viscoelastic properties of the brain in normal pressure hydrocephalus. NMR Biomed. 2011;24:385–92. doi:10.1002/nbm.1602.PubMed
24.
Murphy MC, Huston J, Jack CR, Glaser KJ, Manduca A, Felmlee JP, Ehman RL. Decreased brain stiffness in Alzheimer’s disease determined by magnetic resonance elastography. J Magn Reson Imaging. 2011;34:494–8.PubMedCentralCrossRefPubMed
25.
Wuerfel J, Paul F, Beierbach B, Hamhaber U, Klatt D, Papazoglou S, Zipp F, Martus P, Braun J, Sack I. MR-elastography reveals degradation of tissue integrity in multiple sclerosis. Neuroimage. 2010;49:2520–5.CrossRefPubMed
26.
Lipp A, Trbojevic R, Paul F, Fehlner A, Hirsch S, Scheel M, Noack C, Braun J, Sack I. Cerebral magnetic resonance elastography in supranuclear palsy and idiopathic Parkinson’s disease. NeuroImage Clin. 2013;3:381–7.PubMedCentralCrossRefPubMed
27.
Simon M, Guo J, Papazoglou S, Scholand-Engler H, Erdmann C, Melchert U, Bonsanto M, Braun J, Petersen D, Sack I, Wuerfel J. Non-invasive characterization of intracranial tumors by magnetic resonance elastography. New J Phys. 2013;15:085024.CrossRef
28.
Murphy MC, Huston J, Glaser KJ, Manduca A, Meyer FB, Lanzino G, Morris JM, Felmlee JP, Ehmann RL. Preoperative assessment of meningioma stiffness using magnetic resonance elastography. J Neurosurg. 2013;118(3):643–8.PubMedCentralCrossRefPubMed
29.
Johnson CL, McGarry MDJ, Van Houten EEW, Weaver JB, Paulsen KD, Sutton BP, Georgiadis JG. Magnetic resonance elastography of the brain using multishot spiral readouts with self-navigated motion correction. Magn Reson Med. 2013;70:404–12.PubMedCentralCrossRefPubMed
30.
Hirsch S, Guo J, Reiter R, Papazoglou S, Kroencke T, Braun J, Sack IMR. Elastography of the liver and the spleen using a piezoelectric driver, single-shot wave-field acquisition, and multifrequency dual parameter reconstruction. Magn Reson Med. 2014;71(1):267–77.CrossRefPubMed
31.
Baghani A, Salcudean S, Honarvar M, Sahebjavaher RS, Rohling R, Sinkus R. Travelling wave expansion: a model fitting approach to the inverse problem of elasticity reconstruction. IEEE Trans Med Imaging. 2011;30:1555–65.CrossRefPubMed
32.
Papazoglou S, Hirsch S, Braun J, Sack I. Multifrequency inversion in magnetic resonance elastography. Phys Med Biol. 2012;57:2329–46.CrossRefPubMed
33.
34.
Hirsch S, Klatt D, Freimann F, Scheel M, Braun J, Sack I. In vivo measurement of volumetric strain in the human brain induced by arterial pulsation and harmonic waves. Magn Reson Med. 2013;70:671–83.CrossRefPubMed
35.
Papazoglou S, Xu C, Hamhaber U, Siebert E, Bohner G, Klingebiel R, Braun J, Sack I. Scatter-based magnetic resonance elastography. Phys Med Biol. 2009;54:2229–41.CrossRefPubMed
36.
Braun J, Guo J, Lützkendorf R, Stadler J, Papazoglou S, Hirsch S, Sack I, Bernarding J. High-resolution mechanical imaging of the human brain by three-dimensional multifrequency magnetic resonance elastography at 7T. NeuroImage. 2014;90:308–14. doi:10.1016/j.neuroimage.2013.12.032.CrossRefPubMed
37.
Streitberger KJ, Guo J, Tzschätzsch H, Hirsch S, Fischer T, Braun J, Sack I. High-resolution mechanical imaging oft he kidney. J Biomech. 2014;47(3):639–44.CrossRefPubMed
38.
Guo J, Hirsch S, Streitberger KJ, Kamphues C, Asbach P, Braun J, Sack I. Patient-activated three-dimensional multifrequency magnetic resonance elastography for high-resolution mechanical imaging of the liver and spleen. Rofo. 2014;186(3):260–6.PubMed
39.
Sack I. Magnetresonanzelastographie 2.0: Hochaufgelöste Bildgebung zur Bestimmung von Elastizität, Viskosität und Druck weicher Gewebe. Dtsch Med Wochenschr. 2013;138:2426–30.CrossRefPubMed
40.
Xu L, Lin Y, Han JC, Xi ZN, Shen H, Gao PY. Magnetic resonance elastography of brain tumors: preliminary results. Acta Radiol. 2007;48:327–30.CrossRefPubMed
41.
Sack I, Jöhrens K, Würfel J, Braun J. Structure-sensitive elastography: on the viscoelastic powerlaw behavior of in vivo human tissue in health and disease. Soft Matter. 2013;9:5672–80.CrossRef
42.
Basan M, Risler T, Joanny J-F, Sastre-Garau X, Prost J. Homeostatic competition drives tumor growth and metastasis nucleation. HFSP J. 2009;3:265–72.PubMedCentralCrossRefPubMed
43.
Katira P, Bonnecaze RT, Zaman MH. Modeling the mechanics of cancer: effect of changes in cellular and extra-cellular mechanical properties. Front Oncol. 2013;3:145. doi:10.3389/fonc.2013.00145.PubMedCentralCrossRefPubMed
44.
Fritsch A, Höckel M, Kiessling T, Nnetu KD, Wetzel F, Zink M, Käs JA. Are biomechanical changes necessary for tumour progression?. Nat Phys. 2010;6:730–2.CrossRef
45.
Garteiser P, Doblas S, Daire J-L, Wagner M, Leitao H, Vilgrain V, Sinkus R, Van Beers BE. MR elastography of liver tumours: value of viscoelastic properties for tumour characterisation. Eur Radiol. 2012;22:2169–77.CrossRefPubMed
46.
Jezzard P, Clare S. Sources of distortions in functional MRI data. Hum Brain Map. 1999;8:80–5.CrossRef
47.
Anderson JLR, Skare S, Ashburner J. How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging. Neuroimage. 2003;20(2):870–88.CrossRef
48.
Smith SM, Jenkinson M, Woolrich MW, Beckmann CF, Behrens TEJ, Johansen-Berg H, Bannister PR, De Luca M, Drobnjak I, Flitney DE, Niazy R, Saunders J, Vickers J, Zhang Y, De Stefano N, Brady JM, Matthes PM. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage. 2004;23(S1):208–19.CrossRef
Metadata
Title
High Resolution Imaging of Viscoelastic Properties of Intracranial Tumours by Multi-Frequency Magnetic Resonance Elastography
Authors
M. Reiss-Zimmermann, MD
K.-J. Streitberger, MD
I. Sack
J. Braun, MD
F. Arlt, MD
D. Fritzsch, MD
K.-T. Hoffmann, MD
Publication date
01-12-2015
Publisher
Springer Berlin Heidelberg
Published in
Clinical Neuroradiology / Issue 4/2015
Print ISSN: 1869-1439
Electronic ISSN: 1869-1447
DOI
https://doi.org/10.1007/s00062-014-0311-9

Other articles of this Issue 4/2015

Clinical Neuroradiology 4/2015 Go to the issue

Original Article

Multimodal Computed Tomography Based Definition of Cerebral Imaging Profiles for Acute Stroke Reperfusion Therapy (CT-DEFINE): Results of a Prospective Observational Study

Correspondence

Ultrasonography of Multifocal Acquired Demyelinating Sensory and Motor Neuropathy (MADSAM)

Clinical Case

Freiburg Neuropathology Case Conference. A Mass Lesion of the Fourth Ventricle

Original Research

The Value of syngo DynaPBV Neuro During Neuro-Interventional Hypotensive Balloon Occlusion Test

letter to the editor

Some Considerations on the Kernohan–Woltman Notch Phenomenon

Information

Societies Communications