Literature DB >> 19068409

The use of MR imaging as an outcome measure in multiple sclerosis clinical trials.

Robert A Bermel1, Elizabeth Fisher, Jeffrey A Cohen.   

Abstract

MR imaging is an integral part of multiple sclerosis (MS) clinical trials. It provides the primary efficacy outcome of preliminary proof-of-concept studies and important corroborating data as secondary and exploratory outcomes in pivotal trials. At all stages of drug development, MR imaging provides important information on the kinetics and magnitude of treatment effect and insight into potential mechanisms of action. Attention to issues in scan acquisition, quantitative image processing, and statistical analysis is critical to generate high-quality data. Although it is unlikely that one single outcome measure can capture all aspects of the MS disease process, there is potential for MR imaging outcomes to evaluate inflammatory and degenerative components within clinical trials.

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Year:  2008        PMID: 19068409     DOI: 10.1016/j.nic.2008.06.008

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


  7 in total

1.  FLAIR2: A Combination of FLAIR and T2 for Improved MS Lesion Detection.

Authors:  V Wiggermann; E Hernández-Torres; A Traboulsee; D K B Li; A Rauscher
Journal:  AJNR Am J Neuroradiol       Date:  2015-10-08       Impact factor: 3.825

2.  Exercise and disease progression in multiple sclerosis: can exercise slow down the progression of multiple sclerosis?

Authors:  Ulrik Dalgas; Egon Stenager
Journal:  Ther Adv Neurol Disord       Date:  2012-03       Impact factor: 6.570

Review 3.  Monoclonal antibody therapy in multiple sclerosis: Paradigm shifts and emerging challenges.

Authors:  Paulo Fontoura
Journal:  MAbs       Date:  2010 Nov-Dec       Impact factor: 5.857

4.  Possible clinical outcome measures for clinical trials in patients with multiple sclerosis.

Authors:  Myla D Goldman; Robert W Motl; Richard A Rudick
Journal:  Ther Adv Neurol Disord       Date:  2010-07       Impact factor: 6.570

5.  The Neuro/PsyGRID calibration experiment: identifying sources of variance and bias in multicenter MRI studies.

Authors:  John Suckling; Anna Barnes; Dominic Job; David Brennan; Katherine Lymer; Paola Dazzan; Tiago Reis Marques; Clare MacKay; Shane McKie; Steve R Williams; Steven C R Williams; Bill Deakin; Stephen Lawrie
Journal:  Hum Brain Mapp       Date:  2011-03-21       Impact factor: 5.038

6.  Occulomotor Neural Integrator Dysfunction in Multiple Sclerosis: Insights From Neuroimaging.

Authors:  Peter Bede; Eoin Finegan; Rangariroyashe H Chipika; Stacey Li Hi Shing; Jeffrey Lambe; James Meaney; Janice Redmond
Journal:  Front Neurol       Date:  2018-08-23       Impact factor: 4.003

7.  MRI utility in the detection of disease activity in clinically stable patients with multiple sclerosis: a retrospective analysis of a community based cohort.

Authors:  Stanley Cohan; Chiayi Chen; Elizabeth Baraban; Tamela Stuchiner; Lois Grote
Journal:  BMC Neurol       Date:  2016-09-22       Impact factor: 2.474

  7 in total

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