Literature DB >> 21757533

Modelling the distribution of cortical lesions in multiple sclerosis.

MariaPia Sormani1, Maria L Stromillo, Marco Battaglini, Alessio Signori, Nicola De Stefano.   

Abstract

Recent studies have shown the relevance of the cerebral grey matter involvement in multiple sclerosis (MS). Cortical lesions (CLs), detected by specific MRI sequences, are likely to become a new research outcome in MS studies. The aim of this study was to infer the optimal statistical model describing the distribution of CLs in patients with relapsing-remitting (RR)MS. The negative binomial model gave the best fit to the observed distribution of CLs in a group of 44 RRMS patients with one MRI scan of the brain. This observation has important implications for the statistical analysis of CLs in MS studies.

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Year:  2011        PMID: 21757533     DOI: 10.1177/1352458511414965

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


  5 in total

1.  Comparison of Multiple Sclerosis Cortical Lesion Types Detected by Multicontrast 3T and 7T MRI.

Authors:  J Maranzano; M Dadar; D A Rudko; D De Nigris; C Elliott; J S Gati; S A Morrow; R S Menon; D L Collins; D L Arnold; S Narayanan
Journal:  AJNR Am J Neuroradiol       Date:  2019-06-20       Impact factor: 3.825

Review 2.  [Ultrahigh field MRI in context of neurological diseases].

Authors:  J Kuchling; T Sinnecker; I Bozin; J Dörr; V I Madai; J Sobesky; T Niendorf; F Paul; J Wuerfel
Journal:  Nervenarzt       Date:  2014-04       Impact factor: 1.214

3.  Modeling the distribution of new MRI cortical lesions in multiple sclerosis longitudinal studies.

Authors:  Maria Pia Sormani; Massimiliano Calabrese; Alessio Signori; Antonio Giorgio; Paolo Gallo; Nicola De Stefano
Journal:  PLoS One       Date:  2011-10-20       Impact factor: 3.240

Review 4.  Clinical correlates of grey matter pathology in multiple sclerosis.

Authors:  Dana Horakova; Tomas Kalincik; Jana Blahova Dusankova; Ondrej Dolezal
Journal:  BMC Neurol       Date:  2012-03-07       Impact factor: 2.474

5.  Predicting relapsing-remitting dynamics in multiple sclerosis using discrete distribution models: a population approach.

Authors:  Nieves Velez de Mendizabal; Matthew M Hutmacher; Iñaki F Troconiz; Joaquín Goñi; Pablo Villoslada; Francesca Bagnato; Robert R Bies
Journal:  PLoS One       Date:  2013-09-05       Impact factor: 3.240

  5 in total

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