Literature DB >> 8036883

Magnetic resonance imaging in multiple sclerosis. A review.

L Truyen1.   

Abstract

Since its introduction in 1981 magnetic resonance imaging (MRI) has become the single most important paraclinical investigation in the diagnosis of multiple sclerosis (MS). Its sensitivity surpasses that of cerebrospinal fluid examination and trimodal evoked potentials. The clinical suspicion of multiple sclerosis remains mandatory because this greatly influences the specificity of MRI. Follow-up studies of MS patients using MRI with and without paramagnetic contrast enhancement have given us an insight in the 'realtime' dynamics of this disease which waxes and wanes for more than expected on clinical grounds alone. The impact of this 'subclinical' disease activity on the understanding of the disease and on the monitoring of therapeutical trials is discussed. The recently published European Community (EC) guidelines for the use of MRI in MS-related studies are the result of a major international effort to coordinate the multiple centers involved in MS related MRI research and should optimise multicentric (e.g. therapeutic trial) studies.

Entities:  

Mesh:

Year:  1994        PMID: 8036883

Source DB:  PubMed          Journal:  Acta Neurol Belg        ISSN: 0300-9009            Impact factor:   2.396


  4 in total

1.  Computerised volumetric analysis of lesions in multiple sclerosis using new semi-automatic segmentation software.

Authors:  P Dastidar; T Heinonen; T Vahvelainen; I Elovaara; H Eskola
Journal:  Med Biol Eng Comput       Date:  1999-01       Impact factor: 2.602

2.  A Robust Energy Minimization Algorithm for MS-Lesion Segmentation.

Authors:  Zhaoxuan Gong; Dazhe Zhao; Chunming Li; Wenjun Tan; Christos Davatzikos
Journal:  Adv Vis Comput       Date:  2015-12-18

3.  Non-locally regularized segmentation of multiple sclerosis lesion from multi-channel MRI data.

Authors:  Jingjing Gao; Chunming Li; Chaolu Feng; Mei Xie; Yilong Yin; Christos Davatzikos
Journal:  Magn Reson Imaging       Date:  2014-04-24       Impact factor: 2.546

4.  Multi-Sectional Views Textural Based SVM for MS Lesion Segmentation in Multi-Channels MRIs.

Authors:  Bassem A Abdullah; Akmal A Younis; Nigel M John
Journal:  Open Biomed Eng J       Date:  2012-05-09
  4 in total

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