Literature DB >> 9647285

Magnetic resonance techniques to monitor the long term evolution of multiple sclerosis pathology and to monitor definitive clinical trials.

D W Paty1, H McFarland.   

Abstract

Magnetic resonance has provided a literal window on the brain to visualise the actual pathology of MS as it evolves in the living patient. Natural history studies disclosed that MRI visualised pathological activity was seen at 5 to 10x the rate of clinical relapses. Utilising that knowledge, systematic MRI monitoring has been used to supplement clinical monitoring to show the treatment effect in several clinical trials. This chapter explains how MR techniques can be used to further explore the evolution of in vivo pathology both in clinical trials and natural history studies.

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Year:  1998        PMID: 9647285

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  5 in total

Review 1.  Statins as potential therapeutic agents in multiple sclerosis.

Authors:  Olaf Stüve; Thomas Prod'homme; Sawsan Youssef; Shannon Dunn; Oliver Neuhaus; Martin Weber; Hans-Peter Hartung; Lawrence Steinman; Scott S Zamvil
Journal:  Curr Neurol Neurosci Rep       Date:  2004-05       Impact factor: 5.081

2.  Inhibition of astrocytic DRD2 suppresses CNS inflammation in an animal model of multiple sclerosis.

Authors:  Shen-Zhao Lu; Yue Wu; Yong-Shun Guo; Pei-Zhou Liang; Shu Yin; Yan-Qing Yin; Xiu-Li Zhang; Yan-Fang Liu; Hong-Yan Wang; Yi-Chuan Xiao; Xin-Miao Liang; Jia-Wei Zhou
Journal:  J Exp Med       Date:  2022-07-25       Impact factor: 17.579

3.  Clinical appropriateness: a key factor in outcome measure selection: the 36 item short form health survey in multiple sclerosis.

Authors:  J A Freeman; J C Hobart; D W Langdon; A J Thompson
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-02       Impact factor: 10.154

4.  One year follow up study of primary and transitional progressive multiple sclerosis.

Authors:  V L Stevenson; D H Miller; S M Leary; M Rovaris; F Barkhof; B Brochet; V Dousset; M Filippi; R Hintzen; X Montalban; C H Polman; A Rovira; J de Sa; A J Thompson
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-06       Impact factor: 10.154

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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