Literature DB >> 11936488

The role of MRI as a surrogate outcome measure in multiple sclerosis.

H F McFarland1, F Barkhof, J Antel, D H Miller.   

Abstract

The need for more specific and more sensitive outcome measures for use in testing new therapies in multiple sderosis (MS) is generally accepted. This need has been accentuated by the realization that the ability to conduct large placebo-controlled trials will be limited in the future. From the first use of magnetic resonance imaging (MRI) to study MS, the ability of this imaging technique to identify areas of the central nervous system damage by the disease process in MS has been impressive. Thus, the possibility that MRI could serve as a surrogate outcome measure in clinical trials in MS has been attractive. The use of MRI as a surrogate outcome measure has been examined by an international group of investigators with expertise in clinical aspects of MS, the use of MRI in MS, and in experimental therapeutics. The group agreed that MRI does not represent a validated surrogate in any clinical form of MS. It was also agreed, however, that MRI does provide a reflection of the underlying pathology in the disease, but no single MRI measurement in isolation was seen as sufficient to monitor disease. The use for multiple imaging techniques, especially new, emerging techniques that may better reflect the underlying pathology, was seen as particularly important in monitoring studies of patients with either secondary or primary progressive MS. The choice of MRI techniques used to monitor new therapies needs to be consistent with the proposed mechanisms of the new therapy and phase of the disease. It was also noted, however, that additional validation is required for nonconventional imaging techniques. Finally, the participants noted that clinical trials using MRI as a primary outcome measure may fail to fully identify the effects of the therapy on dinical measures and that the risk and cost-benefit ratio of the treatment might be unresolved. Thus, before MRI is used as a primary outcome measure, new approaches to trial design must be given careful consideration.

Entities:  

Mesh:

Year:  2002        PMID: 11936488     DOI: 10.1191/1352458502ms767xx

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  30 in total

1.  Multiple sclerosis normal-appearing white matter: pathology-imaging correlations.

Authors:  Natalia M Moll; Anna M Rietsch; Smitha Thomas; Amy J Ransohoff; Jar-Chi Lee; Robert Fox; Ansi Chang; Richard M Ransohoff; Elizabeth Fisher
Journal:  Ann Neurol       Date:  2011-11       Impact factor: 10.422

2.  Medical imaging in new drug clinical development.

Authors:  Yi-Xiang Wang; Min Deng
Journal:  J Thorac Dis       Date:  2010-12       Impact factor: 2.895

3.  Predictors of long-term clinical response to interferon beta therapy in relapsing multiple sclerosis.

Authors:  Valentina Tomassini; Andrea Paolillo; Pierluigi Russo; Elisabetta Giugni; Luca Prosperini; Claudio Gasperini; Guido Antonelli; Stefano Bastianello; Carlo Pozzilli
Journal:  J Neurol       Date:  2005-09-14       Impact factor: 4.849

4.  Identification and treatment of symptoms associated with inflammation in medically ill patients.

Authors:  Robert Dantzer; Lucile Capuron; Michael R Irwin; Andrew H Miller; Helene Ollat; Victor Hugh Perry; Sarah Rousey; Raz Yirmiya
Journal:  Psychoneuroendocrinology       Date:  2007-12-03       Impact factor: 4.905

5.  Magnetic resonance imaging as a surrogate outcome for multiple sclerosis relapses.

Authors:  J Petkau; S C Reingold; U Held; G R Cutter; T R Fleming; M D Hughes; D H Miller; H F McFarland; J S Wolinsky
Journal:  Mult Scler       Date:  2008-06-05       Impact factor: 6.312

6.  [Multiple sclerosis. An update with practical guidelines for ophthalmologists].

Authors:  T Ziemssen; H Wilhelm; F Ziemssen
Journal:  Ophthalmologe       Date:  2006-07       Impact factor: 1.059

7.  Breakdown of multiple sclerosis genetics to identify an integrated disease network and potential variant mechanisms.

Authors:  C Joy Shepard; Sara G Cline; David Hinds; Seyedehameneh Jahanbakhsh; Jeremy W Prokop
Journal:  Physiol Genomics       Date:  2019-09-04       Impact factor: 3.107

8.  Brain metabolite profiles of T1-hypointense lesions in relapsing-remitting multiple sclerosis.

Authors:  Belinda S Y Li; Juleiga Regal; Brian J Soher; Lois J Mannon; Robert I Grossman; Oded Gonen
Journal:  AJNR Am J Neuroradiol       Date:  2003-01       Impact factor: 3.825

9.  Examination of the role of magnetic resonance imaging in multiple sclerosis: A problem-orientated approach.

Authors:  Henry F McFarland
Journal:  Ann Indian Acad Neurol       Date:  2009-10       Impact factor: 1.383

Review 10.  Neutralizing antibodies to interferon-beta and other immunological treatments for multiple sclerosis: prevalence and impact on outcomes.

Authors:  Florian Deisenhammer
Journal:  CNS Drugs       Date:  2009       Impact factor: 5.749

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