Literature DB >> 17425737

Statistical issues related to the use of MRI data in multiple sclerosis.

Maria Pia Sormani1, Massimo Filippi.   

Abstract

Since magnetic resonance imaging (MRI) of the brain has proved to be the most important paraclinical tool for diagnosing multiple sclerosis (MS) and monitoring its evolution, methodological and statistical issues related to the use of MRI markers in MS have been the focus of several studies in the past 10 years. While many of these methodological issues have been addressed using standard procedures available from other areas of application of medical statistics, in some cases statistical procedures that are not standard have been developed specifically for MRI variables in MS. Two of the major achievements in the statistical methods applied to the use of MRI variables in MS in the past 10 years were the identification of a parametric model to describe the distribution of MRI lesion counts across patients and the study of the relationships between MRI markers and clinical variables, with the aim to validate MRI parameters as surrogates for clinical progression.

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Year:  2007        PMID: 17425737     DOI: 10.1111/j.1552-6569.2007.00139.x

Source DB:  PubMed          Journal:  J Neuroimaging        ISSN: 1051-2284            Impact factor:   2.486


  2 in total

1.  Modeling MR imaging enhancing-lesion volumes in multiple sclerosis: application in clinical trials.

Authors:  I J van den Elskamp; D L Knol; B M J Uitdehaag; F Barkhof
Journal:  AJNR Am J Neuroradiol       Date:  2011-11-03       Impact factor: 3.825

2.  Modeling lesion counts in multiple sclerosis when patients have been selected for baseline activity.

Authors:  C J Morgan; I B Aban; C R Katholi; G R Cutter
Journal:  Mult Scler       Date:  2010-06-18       Impact factor: 6.312

  2 in total

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