Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

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Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid

Enzinger, C; Barkhof, F; Ciccarelli, O; Filippi, M; Kappos, L; Rocca, MA; Ropele, S; Rovira, À; Schneider, T; de Stefano, N; Vrenken, H; Wheeler-Kingshott, C; Wuerfel, J; Fazekas, F; MAGNIMS study group.
Nonconventional MRI and microstructural cerebral changes in multiple sclerosis.
Nat Rev Neurol. 2015; 11(12):676-686
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Autor/innen der Med Uni Graz:
Enzinger Christian
Fazekas Franz
Ropele Stefan
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Abstract:
MRI has become the most important paraclinical tool for diagnosing and monitoring patients with multiple sclerosis (MS). However, conventional MRI sequences are largely nonspecific in the pathology they reveal, and only provide a limited view of the complex morphological changes associated with MS. Nonconventional MRI techniques, such as magnetization transfer imaging (MTI), diffusion-weighted imaging (DWI) and susceptibility-weighted imaging (SWI) promise to complement existing techniques by revealing more-specific information on microstructural tissue changes. Past years have witnessed dramatic advances in the acquisition and analysis of such imaging data, and numerous studies have used these tools to probe tissue alterations associated with MS. Other MRI-based techniques-such as myelin-water imaging, (23)Na imaging, magnetic resonance elastography and magnetic resonance perfusion imaging-might also shed new light on disease-associated changes. This Review summarizes the rapid technical progress in the use of MRI in patients with MS, with a focus on nonconventional structural MRI. We critically discuss the present utility of nonconventional MRI in MS, and provide an outlook on future applications, including clinical practice. This information should allow appropriate selection of advanced MRI techniques, and facilitate their use in future studies of this disease.
Find related publications in this database (using NLM MeSH Indexing)
Brain Mapping -
Cerebral Cortex - pathology
Humans -
Image Processing, Computer-Assisted -
Multiple Sclerosis - pathology
Neuroimaging -

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