Literature DB >> 10713356

Serial magnetic resonance imaging in multiple sclerosis: correlation with attacks, disability, and disease stage.

H L Weiner1, C R Guttmann, S J Khoury, E J Orav, M J Hohol, R Kikinis, F A Jolesz.   

Abstract

Serial MRI and clinical testing was performed on 45 well-defined untreated multiple sclerosis patients in different categories of disease (relapsing-remitting, progressive, stable). Up to 24 MRIs were scheduled over a 1-year period for each patient. Clinical evaluation was performed monthly and at times of attacks using the Expanded Disability Status Scale (EDSS) and the Ambulation Index (AI). MRI scans were performed both with and without gadolinium enhancement. MRI lesion volume was determined by computerized analysis and gadolinium-enhancing lesions were counted by radiologists. We observed an increase in lesion volume over 1 year in all patient groups except those classified clinically as stable. In relapsing-remitting patients there were correlations between increases in the number of gadolinium enhancing lesions and increases in EDSS and the occurrence of attacks. In chronic progressive patients, increases in lesion volume were correlated with both increases in EDSS and AI. These results demonstrate a linkage between MRI and clinical disease that depends both on the stage of MS and the MRI measures used and support the use of MRI as a surrogate marker of clinical disability in the study of multiple sclerosis.

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Year:  2000        PMID: 10713356     DOI: 10.1016/s0165-5728(99)00273-8

Source DB:  PubMed          Journal:  J Neuroimmunol        ISSN: 0165-5728            Impact factor:   3.478


  13 in total

Review 1.  A review of the automated detection of change in serial imaging studies of the brain.

Authors:  Julia Patriarche; Bradley Erickson
Journal:  J Digit Imaging       Date:  2004-06-29       Impact factor: 4.056

2.  Part 1. Automated change detection and characterization in serial MR studies of brain-tumor patients.

Authors:  Julia Willamena Patriarche; Bradley James Erickson
Journal:  J Digit Imaging       Date:  2007-09       Impact factor: 4.056

3.  Supervised automatic procedure to identify new lesions in brain MR longitudinal studies of patients with multiple sclerosis.

Authors:  R C Parodi; F Levrero; M P Sormani; A Pilot; G L Mancardi; A Aliprandi; F Sardanelli
Journal:  Radiol Med       Date:  2008-04-02       Impact factor: 3.469

4.  Towards the implementation of 'no evidence of disease activity' in multiple sclerosis treatment: the multiple sclerosis decision model.

Authors:  Martin Stangel; Iris Katharina Penner; Boris A Kallmann; Carsten Lukas; Bernd C Kieseier
Journal:  Ther Adv Neurol Disord       Date:  2015-01       Impact factor: 6.570

5.  Seasonal prevalence of MS disease activity.

Authors:  D S Meier; K E Balashov; B Healy; H L Weiner; C R G Guttmann
Journal:  Neurology       Date:  2010-08-31       Impact factor: 9.910

6.  MR imaging intensity modeling of damage and repair in multiple sclerosis: relationship of short-term lesion recovery to progression and disability.

Authors:  D S Meier; H L Weiner; C R G Guttmann
Journal:  AJNR Am J Neuroradiol       Date:  2007 Nov-Dec       Impact factor: 3.825

7.  Short-term correlations between clinical and MR imaging findings in relapsing-remitting multiple sclerosis.

Authors:  Marco Rovaris; Giancarlo Comi; David Ladkani; Jerry S Wolinsky; Massimo Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2003-01       Impact factor: 3.825

8.  Segmentation of subtraction images for the measurement of lesion change in multiple sclerosis.

Authors:  Y Duan; P G Hildenbrand; M P Sampat; D F Tate; I Csapo; B Moraal; R Bakshi; F Barkhof; D S Meier; C R G Guttmann
Journal:  AJNR Am J Neuroradiol       Date:  2008-02       Impact factor: 3.825

Review 9.  Time-series modeling of multiple sclerosis disease activity: a promising window on disease progression and repair potential?

Authors:  Dominik S Meier; Howard L Weiner; Charles R G Guttmann
Journal:  Neurotherapeutics       Date:  2007-07       Impact factor: 7.620

10.  Change detection & characterization: a new tool for imaging informatics and cancer research.

Authors:  Julia W Patriarche; Bradley J Erickson
Journal:  Cancer Inform       Date:  2007-05-12
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