Literature DB >> 23706475

Future MRI tools in multiple sclerosis.

M Filippi1, M Absinta, M A Rocca.   

Abstract

Magnetic resonance imaging (MRI) is extremely sensitive in detecting multiple sclerosis (MS)-related abnormalities. As a consequence, it has become an established tool to diagnose the disease and to monitor its evolution. In patients at presentation with clinically isolated syndromes suggestive of MS, MRI has been formally included in the diagnostic work up and ad hoc criteria have been proposed and are updated on a regular basis. However, in patients with definite MS, the strength of the relationship between conventional MRI findings and subsequent clinical manifestations of the disease remains modest. This is likely due to the relatively lack of specificity of conventional MRI to the heterogeneous pathological substrates of the disease and its inability to provide accurate estimates of such a damage outside focal lesions as well as to define the mechanisms through which the central nervous system recovers after tissue injury has occurred. Non-conventional MRI techniques offer new biomarkers more closely linked to the pathological features of the disease, which are likely to contribute to overcome, at least partially, these limitations. This review summarizes how MRI has improved our ability to diagnose MS and to predict its course, as well as how it is changing our understanding of the factors associated with the accumulation of irreversible disability in this condition.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diagnosis; Disability; Future tools; Magnetic resonance imaging; Multiple sclerosis; Prognosis

Mesh:

Year:  2013        PMID: 23706475     DOI: 10.1016/j.jns.2013.04.025

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  9 in total

Review 1.  Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis--establishing disease prognosis and monitoring patients.

Authors:  Mike P Wattjes; Àlex Rovira; David Miller; Tarek A Yousry; Maria P Sormani; Maria P de Stefano; Mar Tintoré; Cristina Auger; Carmen Tur; Massimo Filippi; Maria A Rocca; Franz Fazekas; Ludwig Kappos; Chris Polman
Journal:  Nat Rev Neurol       Date:  2015-09-15       Impact factor: 42.937

Review 2.  Multiple sclerosis in children: an update on clinical diagnosis, therapeutic strategies, and research.

Authors:  Amy Waldman; Angelo Ghezzi; Amit Bar-Or; Yann Mikaeloff; Marc Tardieu; Brenda Banwell
Journal:  Lancet Neurol       Date:  2014-09       Impact factor: 44.182

3.  Magnetization transfer in lamellar liquid crystals.

Authors:  Dariya I Malyarenko; Ellen M Zimmermann; Jeremy Adler; Scott D Swanson
Journal:  Magn Reson Med       Date:  2013-11-20       Impact factor: 4.668

Review 4.  An Update on the Measurement of Motor Cerebellar Dysfunction in Multiple Sclerosis.

Authors:  Katherine Hope Kenyon; Frederique Boonstra; Gustavo Noffs; Helmut Butzkueven; Adam P Vogel; Scott Kolbe; Anneke van der Walt
Journal:  Cerebellum       Date:  2022-06-27       Impact factor: 3.648

5.  Diffusion Tensor Imaging in NAWM and NADGM in MS and CIS: Association with Candidate Biomarkers in Sera.

Authors:  Renuka Natarajan; Sanna Hagman; Xingchen Wu; Ullamari Hakulinen; Minna Raunio; Mika Helminen; Maija Rossi; Prasun Dastidar; Irina Elovaara
Journal:  Mult Scler Int       Date:  2013-12-17

6.  Magnetic Resonance Fingerprinting - a promising new approach to obtain standardized imaging biomarkers from MRI.

Authors: 
Journal:  Insights Imaging       Date:  2015-03-24

Review 7.  Advances in noninvasive myelin imaging.

Authors:  Florence Heath; Samuel A Hurley; Heidi Johansen-Berg; Cassandra Sampaio-Baptista
Journal:  Dev Neurobiol       Date:  2017-11-10       Impact factor: 3.964

8.  Comparison of probabilistic tractography and tract-based spatial statistics for assessing optic radiation damage in patients with autoimmune inflammatory disorders of the central nervous system.

Authors:  Joseph Kuchling; Yael Backner; Frederike C Oertel; Noa Raz; Judith Bellmann-Strobl; Klemens Ruprecht; Friedemann Paul; Netta Levin; Alexander U Brandt; Michael Scheel
Journal:  Neuroimage Clin       Date:  2018-05-08       Impact factor: 4.881

9.  Diffusion tensor imaging and disability progression in multiple sclerosis: A 4-year follow-up study.

Authors:  Marcin Kolasa; Ullamari Hakulinen; Antti Brander; Sanna Hagman; Prasun Dastidar; Irina Elovaara; Marja-Liisa Sumelahti
Journal:  Brain Behav       Date:  2018-12-26       Impact factor: 2.708

  9 in total

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