Literature DB >> 28993232

MR elastography of the brain and its application in neurological diseases.

Matthew C Murphy1, John Huston2, Richard L Ehman2.   

Abstract

Magnetic resonance elastography (MRE) is an imaging technique for noninvasively and quantitatively assessing tissue stiffness, akin to palpation. MRE is further able assess the mechanical properties of tissues that cannot be reached by hand including the brain. The technique is a three-step process beginning with the introduction of shear waves into the tissue of interest by applying an external vibration. Next, the resulting motion is imaged using a phase-contrast MR pulse sequence with motion encoding gradients that are synchronized to the vibration. Finally, the measured displacement images are mathematically inverted to compute a map of the estimated stiffness. In the brain, the technique has demonstrated strong test-retest repeatability with typical errors of 1% for measuring global stiffness, 2% for measuring stiffness in the lobes of the brain, and 3-7% for measuring stiffness in subcortical gray matter. In healthy volunteers, multiple studies have confirmed that stiffness decreases with age, while more recent studies have demonstrated a strong relationship between viscoelasticity and behavioral performance. Furthermore, several studies have demonstrated the sensitivity of brain stiffness to neurodegeneration, as stiffness has been shown to decrease in multiple sclerosis and in several forms of dementia. Moreover, the spatial pattern of stiffness changes varies among these different classes of dementia. Finally, MRE is a promising tool for the preoperative assessment of intracranial tumors, as it can measure both tumor consistency and adherence to surrounding tissues. These factors are important predictors of surgical difficulty. In brief, MRE demonstrates potential value in a number of neurological diseases. However, significant opportunity remains to further refine the technique and better understand the underlying physiology.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28993232      PMCID: PMC5889749          DOI: 10.1016/j.neuroimage.2017.10.008

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  75 in total

1.  Tissue characterization using magnetic resonance elastography: preliminary results.

Authors:  S A Kruse; J A Smith; A J Lawrence; M A Dresner; A Manduca; J F Greenleaf; R L Ehman
Journal:  Phys Med Biol       Date:  2000-06       Impact factor: 3.609

2.  Bridging Three Orders of Magnitude: Multiple Scattered Waves Sense Fractal Microscopic Structures via Dispersion.

Authors:  Simon A Lambert; Sven Peter Näsholm; David Nordsletten; Christian Michler; Lauriane Juge; Jean-Michel Serfaty; Lynne Bilston; Bojan Guzina; Sverre Holm; Ralph Sinkus
Journal:  Phys Rev Lett       Date:  2015-08-26       Impact factor: 9.161

3.  Shear wave group velocity inversion in MR elastography of human skeletal muscle.

Authors:  Sebastian Papazoglou; Jens Rump; Jürgen Braun; Ingolf Sack
Journal:  Magn Reson Med       Date:  2006-09       Impact factor: 4.668

4.  Meningioma consistency prediction utilizing tumor to cerebellar peduncle intensity on T2-weighted magnetic resonance imaging sequences: TCTI ratio.

Authors:  Kyle A Smith; John D Leever; Phillip D Hylton; Paul J Camarata; Roukoz B Chamoun
Journal:  J Neurosurg       Date:  2016-04-08       Impact factor: 5.115

5.  Tissue structure and inflammatory processes shape viscoelastic properties of the mouse brain.

Authors:  Jason M Millward; Jing Guo; Dominique Berndt; Jürgen Braun; Ingolf Sack; Carmen Infante-Duarte
Journal:  NMR Biomed       Date:  2015-05-12       Impact factor: 4.044

6.  Medial temporal lobe viscoelasticity and relational memory performance.

Authors:  Hillary Schwarb; Curtis L Johnson; Matthew D J McGarry; Neal J Cohen
Journal:  Neuroimage       Date:  2016-02-27       Impact factor: 6.556

7.  In vivo waveguide elastography: effects of neurodegeneration in patients with amyotrophic lateral sclerosis.

Authors:  Anthony Romano; Jing Guo; Torben Prokscha; Thomas Meyer; Sebastian Hirsch; Jürgen Braun; Ingolf Sack; Michael Scheel
Journal:  Magn Reson Med       Date:  2013-12-17       Impact factor: 4.668

8.  MR elastography in a murine stroke model reveals correlation of macroscopic viscoelastic properties of the brain with neuronal density.

Authors:  Florian Baptist Freimann; Susanne Müller; Kaspar-Josche Streitberger; Jing Guo; Sergej Rot; Adnan Ghori; Peter Vajkoczy; Rolf Reiter; Ingolf Sack; Jürgen Braun
Journal:  NMR Biomed       Date:  2013-06-20       Impact factor: 4.044

9.  Brain viscoelasticity alteration in chronic-progressive multiple sclerosis.

Authors:  Kaspar-Josche Streitberger; Ingolf Sack; Dagmar Krefting; Caspar Pfüller; Jürgen Braun; Friedemann Paul; Jens Wuerfel
Journal:  PLoS One       Date:  2012-01-20       Impact factor: 3.240

10.  Aerobic fitness, hippocampal viscoelasticity, and relational memory performance.

Authors:  Hillary Schwarb; Curtis L Johnson; Ana M Daugherty; Charles H Hillman; Arthur F Kramer; Neal J Cohen; Aron K Barbey
Journal:  Neuroimage       Date:  2017-03-30       Impact factor: 6.556

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  36 in total

1.  Imaging brain function with simultaneous BOLD and viscoelasticity contrast: fMRI/fMRE.

Authors:  Patricia S Lan; Kevin J Glaser; Richard L Ehman; Gary H Glover
Journal:  Neuroimage       Date:  2020-02-01       Impact factor: 6.556

2.  Reply.

Authors:  D R Roberts; D Asemani; P J Nietert; M A Eckert; D C Inglesby; J J Bloomberg; M S George; T R Brown
Journal:  AJNR Am J Neuroradiol       Date:  2020-02-20       Impact factor: 3.825

3.  Brain stiffness following recovery in a patient with an episode of low-pressure hydrocephalus: case report.

Authors:  William C Olivero; Arundhati Biswas; Tracey M Wszalek; Bradley P Sutton; Curtis L Johnson
Journal:  Childs Nerv Syst       Date:  2020-10-08       Impact factor: 1.475

4.  Structural and Functional MRI Evidence for Distinct Medial Temporal and Prefrontal Roles in Context-dependent Relational Memory.

Authors:  Hillary Schwarb; Curtis L Johnson; Michael R Dulas; Matthew D J McGarry; Joseph L Holtrop; Patrick D Watson; Jane X Wang; Joel L Voss; Bradley P Sutton; Neal J Cohen
Journal:  J Cogn Neurosci       Date:  2019-08-08       Impact factor: 3.225

5.  TURBINE-MRE: A 3D hybrid radial-Cartesian EPI acquisition for MR elastography.

Authors:  Yi Sui; Arvin Arani; Joshua D Trzasko; Matthew C Murphy; Phillip J Rossman; Kevin J Glaser; Kiaran P McGee; Armando Manduca; Richard L Ehman; Philip A Araoz; John Huston
Journal:  Magn Reson Med       Date:  2020-08-01       Impact factor: 4.668

6.  Viscoelasticity of reward and control systems in adolescent risk taking.

Authors:  Grace McIlvain; Rebecca G Clements; Emily M Magoon; Jeffrey M Spielberg; Eva H Telzer; Curtis L Johnson
Journal:  Neuroimage       Date:  2020-04-13       Impact factor: 6.556

Review 7.  Stiffness and Beyond: What MR Elastography Can Tell Us About Brain Structure and Function Under Physiologic and Pathologic Conditions.

Authors:  Ziying Yin; Anthony J Romano; Armando Manduca; Richard L Ehman; John Huston
Journal:  Top Magn Reson Imaging       Date:  2018-10

8.  Gelator length precisely tunes supramolecular hydrogel stiffness and neuronal phenotype in 3D culture.

Authors:  Jacqueline M Godbe; Ronit Freeman; Lena F Burbulla; Jacob Lewis; Dimitri Krainc; Samuel I Stupp
Journal:  ACS Biomater Sci Eng       Date:  2020-01-17

9.  In vivo characterization of 3D skull and brain motion during dynamic head vibration using magnetic resonance elastography.

Authors:  Ziying Yin; Yi Sui; Joshua D Trzasko; Phillip J Rossman; Armando Manduca; Richard L Ehman; John Huston
Journal:  Magn Reson Med       Date:  2018-05-17       Impact factor: 4.668

10.  Brain Stiffness Relates to Dynamic Balance Reactions in Children With Cerebral Palsy.

Authors:  Grace McIlvain; James B Tracy; Charlotte A Chaze; Drew A Petersen; Gabrielle M Villermaux; Henry G Wright; Freeman Miller; Jeremy R Crenshaw; Curtis L Johnson
Journal:  J Child Neurol       Date:  2020-03-23       Impact factor: 1.987

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