Literature DB >> 28391786

MR Imaging in Monitoring and Predicting Treatment Response in Multiple Sclerosis.

Jordi Río1, Cristina Auger2, Àlex Rovira2.   

Abstract

MR imaging is the most sensitive tool for identifying lesions in patients with multiple sclerosis (MS). MR imaging has also acquired an essential role in the detection of complications arising from these treatments and in the assessment and prediction of efficacy. In the future, other radiological measures that have shown prognostic value may be incorporated within the models for predicting treatment response. This article examines the role of MR imaging as a prognostic tool in patients with MS and the recommendations that have been proposed in recent years to monitor patients who are treated with disease-modifying drugs.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Interferon; MR imaging; Multiple sclerosis; Patient assessment; Relapsing-remitting multiple sclerosis; Scoring system; Treatment response

Mesh:

Year:  2017        PMID: 28391786     DOI: 10.1016/j.nic.2017.01.001

Source DB:  PubMed          Journal:  Neuroimaging Clin N Am        ISSN: 1052-5149            Impact factor:   2.264


  3 in total

1.  Myelin status is associated with change in functional mobility following slope walking in people with multiple sclerosis.

Authors:  E M King; M J Sabatier; M Hoque; T M Kesar; D Backus; M R Borich
Journal:  Mult Scler J Exp Transl Clin       Date:  2018-04-27

2.  FLAIR2 improves LesionTOADS automatic segmentation of multiple sclerosis lesions in non-homogenized, multi-center, 2D clinical magnetic resonance images.

Authors:  M Le; L Y W Tang; E Hernández-Torres; M Jarrett; T Brosch; L Metz; D K B Li; A Traboulsee; R C Tam; A Rauscher; V Wiggermann
Journal:  Neuroimage Clin       Date:  2019-07-05       Impact factor: 4.881

Review 3.  Molecular imaging of multiple sclerosis: from the clinical demand to novel radiotracers.

Authors:  Matteo Bauckneht; Selene Capitanio; Stefano Raffa; Luca Roccatagliata; Matteo Pardini; Caterina Lapucci; Cecilia Marini; Gianmario Sambuceti; Matilde Inglese; Paolo Gallo; Diego Cecchin; Flavio Nobili; Silvia Morbelli
Journal:  EJNMMI Radiopharm Chem       Date:  2019-04-08
  3 in total

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