Abstract
IntroductionViscoelastic properties indicate structural alterations in biological tissues at multiple scales with high sensitivity. Magnetic Resonance Elastography (MRE) is a novel technique that directly visualizes and quantitatively measures biomechanical tissue properties in vivo. MRE recently revealed that early relapsing-remitting multiple sclerosis (MS) is associated with a global decrease of the cerebral mechanical integrity. This study addresses MRE and MR volumetry in chronic-progressive disease courses of MS.MethodsWe determined viscoelastic parameters of the brain parenchyma in 23 MS patients with primary or secondary chronic progressive disease course in comparison to 38 age- and gender-matched healthy individuals by multifrequency MRE, and correlated the results with clinical data, T2 lesion load and brain volume. Two viscoelastic parameters, the shear elasticity μ and the powerlaw exponent α, were deduced according to the springpot model and compared to literature values of relapsing-remitting MS.ResultsIn chronic-progressive MS patients, μ and α were reduced by 20.5% and 6.1%, respectively, compared to healthy controls. MR volumetry yielded a weaker correlation: Total brain volume loss in MS patients was in the range of 7.5% and 1.7% considering the brain parenchymal fraction. All findings were significant (P<0.001).ConclusionsChronic-progressive MS disease courses show a pronounced reduction of the cerebral shear elasticity compared to early relapsing-remitting disease. The powerlaw exponent α decreased only in the chronic-progressive stage of MS, suggesting an alteration in the geometry of the cerebral mechanical network due to chronic neuroinflammation.
Highlights
Viscoelastic properties indicate structural alterations in biological tissues at multiple scales with high sensitivity
MR volumetry yielded a weaker correlation: Total brain volume loss in multiple sclerosis (MS) patients was in the range of 7.5% and 1.7% considering the brain parenchymal fraction
Chronic-progressive MS disease courses show a pronounced reduction of the cerebral shear elasticity compared to early relapsing-remitting disease
Summary
Viscoelastic properties indicate structural alterations in biological tissues at multiple scales with high sensitivity. The reported springpot parameters m and a describe the viscoelastic dispersion of the complex shear modulus G* of brain tissue by a powerlaw, i.e. a linear function in logarithmical coordinates. The shear elasticity m is related to the inherent strength or integrity of this network, while the powerlaw exponent a is related to geometry, i.e. the topology or fractal dimension of the network [15,16]. Both springpot parameters are potentially sensitive markers of a variety of neurological disorders affecting the global mechanical scaffold of brain at multiple scales
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