Literature DB >> 18690498

The definition of non-responder to multiple sclerosis treatment: neuroimaging markers.

Marco Rovaris1.   

Abstract

MRI is the main paraclinical tool used both to diagnose multiple sclerosis (MS) and to evaluate the efficacy of experimental treatments in phase II and III clinical trials. In the latter context, a major issue is represented by the weak correlations found between clinical and MRI aspects in the case of established MS, which are particularly evident when individual patients are considered. As a consequence, the definition of response to MS treatment, when based upon MRI aspects, remains a challenging task. Although the use of MRI-derived quantities to define treatment options and strategies at an individual patient level is supported by recent evidence, only the integration of clinical and MRI data can be considered a reliable approach for the work-up of patients undergoing disease-modifying treatments.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18690498     DOI: 10.1007/s10072-008-0943-0

Source DB:  PubMed          Journal:  Neurol Sci        ISSN: 1590-1874            Impact factor:   3.307


  10 in total

1.  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

2.  Characterization of MRI response to treatment with interferon beta-1b: contrast-enhancing MRI lesion frequency as a primary outcome measure.

Authors:  L A Stone; J A Frank; P S Albert; C N Bash; P A Calabresi; H Maloni; H F McFarland
Journal:  Neurology       Date:  1997-09       Impact factor: 9.910

3.  The distribution of the magnetic resonance imaging response to glatiramer acetate in multiple sclerosis.

Authors:  M P Sormani; P Bruzzi; G Comi; M Filippi
Journal:  Mult Scler       Date:  2005-08       Impact factor: 6.312

4.  Interferon beta-1a for early multiple sclerosis: CHAMPS trial subgroup analyses.

Authors:  Roy W Beck; Danielle L Chandler; Stephen R Cole; Jack H Simon; Lawrence D Jacobs; R Philip Kinkel; John B Selhorst; John W Rose; Joanna A Cooper; George Rice; Thomas J Murray; Alfred W Sandrock
Journal:  Ann Neurol       Date:  2002-04       Impact factor: 10.422

5.  Post-marketing survey on clinical response to interferon beta in relapsing multiple sclerosis: the Roman experience.

Authors:  C Pozzilli; L Prosperini; E Sbardella; L De Giglio; E Onesti; V Tomassini
Journal:  Neurol Sci       Date:  2005-12       Impact factor: 3.307

6.  Defining interferon beta response status in multiple sclerosis patients.

Authors:  Richard A Rudick; Jar-Chi Lee; Jack Simon; Richard M Ransohoff; Elizabeth Fisher
Journal:  Ann Neurol       Date:  2004-10       Impact factor: 10.422

7.  Conventional and magnetization transfer MRI predictors of clinical multiple sclerosis evolution: a medium-term follow-up study.

Authors:  Marco Rovaris; Federica Agosta; Maria Pia Sormani; Matilde Inglese; Vittorio Martinelli; Giancarlo Comi; Massimo Filippi
Journal:  Brain       Date:  2003-08-22       Impact factor: 13.501

8.  Subgroups of the BENEFIT study: risk of developing MS and treatment effect of interferon beta-1b.

Authors:  Chris Polman; Ludwig Kappos; Mark S Freedman; Gilles Edan; Hans-Peter Hartung; David H Miller; Xavier Montalbán; Frederick Barkhof; Krzysztof Selmaj; Bernard M J Uitdehaag; Susanne Dahms; Lars Bauer; Christoph Pohl; Rupert Sandbrink
Journal:  J Neurol       Date:  2007-11-15       Impact factor: 4.849

9.  Expression profiling identifies responder and non-responder phenotypes to interferon-beta in multiple sclerosis.

Authors:  S Stürzebecher; K P Wandinger; A Rosenwald; M Sathyamoorthy; A Tzou; P Mattar; J A Frank; L Staudt; R Martin; H F McFarland
Journal:  Brain       Date:  2003-06       Impact factor: 13.501

10.  The distribution of magnetic resonance imaging response to interferonbeta-1b in multiple sclerosis.

Authors:  Maria Pia Sormani; Paolo Bruzzi; Karola Beckmann; Ludwig Kappos; David H Miller; Chris Polman; Carlo Pozzilli; Alan J Thompson; Klaus Wagner; Massimo Filippi
Journal:  J Neurol       Date:  2005-07-18       Impact factor: 4.849

  10 in total
  1 in total

1.  Multiple sclerosis pharmacogenetics: personalized approach towards tailored therapeutics.

Authors:  Iris Grossman; Ariel Miller
Journal:  EPMA J       Date:  2010-06-09       Impact factor: 6.543

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.