Characterization of multiple sclerosis lesions with distinct clinical correlates through quantitative diffusion MRI
| Autor: | Sara Llufriu, Ferran Prados, Salut Alba-Arbalat, Elisabet Lopez-Soley, Irene Pulido-Valdeolivas, Elisabeth Solana, Joaquim Radua, Magi Andorra, Aleix Solanes, Nuria Sola-Valls, Eloy Martinez-Heras, Maria Sepúlveda, Yolanda Blanco, Carmen Montejo, Albert Saiz |
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| Rok vydání: | 2020 |
| Předmět: |
Male
DWIs Diffusion-weighted images Diffusion magnetic resonance imaging Diffusion map lcsh:RC346-429 0302 clinical medicine Nuclear magnetic resonance vAD Extra-neurite transverse microscopic diffusivity MC-SMT Multi-compartment spherical mean technique FA Fractional anisotropy Diffusion (business) MS lesion types MS Multiple sclerosis medicine.diagnostic_test 05 social sciences Radial diffusivity Brain Regular Article Magnetic Resonance Imaging RD radial diffusivity Characterization (materials science) EDSS Expanded disability status scale Diffusion Tensor Imaging Neurology T1 3D-MPRAGE 3D-Magnetization Prepared Rapid Acquisition Gradient Echo lcsh:R858-859.7 Female MRI Adult vMD Extra-neurite microscopic mean diffusivity Multiple Sclerosis ƒin Intra-neurite volume fraction Cognitive Neuroscience DTI Diffusion tensor imaging SP Secondary progressive MD Mean diffusivity lcsh:Computer applications to medicine. Medical informatics 050105 experimental psychology 03 medical and health sciences AD Axial diffusivity BRB-N Brief Repeatable Battery of neuropsychological tests Fractional anisotropy medicine Humans RR Relapsing remitting 0501 psychology and cognitive sciences Radiology Nuclear Medicine and imaging lcsh:Neurology. Diseases of the nervous system λdiff Intrinsic diffusivity business.industry Multiple sclerosis MSSS Multiple sclerosis severity score Magnetic resonance imaging medicine.disease 3D-T2 3D-T2 fluid-attenuated inversion recovery Anisotropy NAWM Normal-appearing white matter Neurology (clinical) K-means clustering algorithm business 030217 neurology & neurosurgery Diffusion MRI |
| Zdroj: | NeuroImage: Clinical, Vol 28, Iss, Pp 102411-(2020) NeuroImage : Clinical |
| ISSN: | 2213-1582 |
| DOI: | 10.1016/j.nicl.2020.102411 |
| Popis: | Highlights • Macroscopic and microscopic diffusion properties discriminate between MS lesion types. • The number and volume of lesions with larger diffusion changes are associated with worse clinical outcomes. • Diffusion MRI provides useful information of the pathological heterogeneity in plaques. Diffusion magnetic resonance imaging can reveal quantitative information about the tissue changes in multiple sclerosis. The recently developed multi-compartment spherical mean technique can map different microscopic properties based only on local diffusion signals, and it may provide specific information on the underlying microstructural modifications that arise in multiple sclerosis. Given that the lesions in multiple sclerosis may reflect different degrees of damage, we hypothesized that quantitative diffusion maps may help characterize the severity of lesions “in vivo” and correlate these to an individual’s clinical profile. We evaluated this in a cohort of 59 multiple sclerosis patients (62% female, mean age 44.7 years), for whom demographic and disease information was obtained, and who underwent a comprehensive physical and cognitive evaluation. The magnetic resonance imaging protocol included conventional sequences to define focal lesions, and multi-shell diffusion imaging was used with b-values of 1000, 2000 and 3000 s/mm2 in 180 encoding directions. Quantitative diffusion properties on a macro- and micro-scale were used to discriminate distinct types of lesions through a k-means clustering algorithm, and the number and volume of those lesion types were correlated with parameters of the disease. The combination of diffusion tensor imaging metrics (fractional anisotropy and radial diffusivity) and multi-compartment spherical mean technique values (microscopic fractional anisotropy and intra-neurite volume fraction) differentiated two type of lesions, with a prediction strength of 0.931. The B-type lesions had larger diffusion changes compared to the A-type lesions, irrespective of their location (P |
| Databáze: | OpenAIRE |
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