Literature DB >> 12135961

Measurement of atrophy in multiple sclerosis: pathological basis, methodological aspects and clinical relevance.

David H Miller1, Frederik Barkhof, Joseph A Frank, Geoffrey J M Parker, Alan J Thompson.   

Abstract

MRI methods are widely used to follow the pathological evolution of multiple sclerosis in life and its modification by treatment. To date, measures of the number and volume of macroscopically visible lesions have been studied most often. These MRI outcomes have demonstrated clear treatment effects but without a commensurate clinical benefit, suggesting that there are other aspects of multiple sclerosis pathology that warrant investigation. In this context, there has been considerable interest in measuring tissue loss (atrophy) as a more global marker of the adverse outcome of multiple sclerosis pathology, whether it arises in macroscopic lesions or in the normal appearing tissues. An International Workshop recently considered the measurement of atrophy in multiple sclerosis and provided the basis for this review. Brain white matter bulk consists predominantly of axons (46%) followed by myelin (24%), and progressive atrophy implies loss of these structures, especially axons, although variable effects on tissue volumes may also arise from glial cell proliferation or loss, gliosis, inflammation and oedema. Significant correlations found between brain volume and other putative MR neuronal markers also indicate that atrophy reflects axonal loss. Numerous methods are available for the measurement of global and regional brain volumes and upper cervical cord cross-sectional area that are highly reproducible and sensitive to changes within 6-12 months. In general, 3D-T(1)-weighted acquisitions and largely automated segmentation approaches are optimal. Whereas normalized volumes are desirable for cross-sectional studies, absolute volume measures are adequate for serial investigation. Atrophy is seen at all clinical stages of multiple sclerosis, developing gradually following the appearance of inflammatory lesions. This probably reflects both inflammation-induced axonal loss followed by Wallerian degeneration and post-inflammatory neurodegeneration that may be partly due to failure of remyelination. One component of atrophy appears to be independent of focal lesions. Existing immunomodulatory therapies have had limited effects on progressive atrophy, concordant with their modest effects on progressive disability. Atrophy provides a sensitive measure of the neurodegenerative component of multiple sclerosis and should be measured in trials evaluating potential anti-inflammatory, remyelinating or neuroprotective therapies.

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Year:  2002        PMID: 12135961     DOI: 10.1093/brain/awf177

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  152 in total

1.  Rostrocaudal analysis of corpus callosum demyelination and axon damage across disease stages refines diffusion tensor imaging correlations with pathological features.

Authors:  Mingqiang Xie; Jennifer E Tobin; Matthew D Budde; Chin-I Chen; Kathryn Trinkaus; Anne H Cross; Dennis P McDaniel; Sheng-Kwei Song; Regina C Armstrong
Journal:  J Neuropathol Exp Neurol       Date:  2010-07       Impact factor: 3.685

2.  In vivo evidence of disseminated subpial T2* signal changes in multiple sclerosis at 7 T: a surface-based analysis.

Authors:  J Cohen-Adad; T Benner; D Greve; R P Kinkel; A Radding; B Fischl; B R Rosen; C Mainero
Journal:  Neuroimage       Date:  2011-04-13       Impact factor: 6.556

3.  Whole-brain atrophy in multiple sclerosis measured by automated versus semiautomated MR imaging segmentation.

Authors:  Jitendra Sharma; Michael P Sanfilipo; Ralph H B Benedict; Bianca Weinstock-Guttman; Frederick E Munschauer; Rohit Bakshi
Journal:  AJNR Am J Neuroradiol       Date:  2004 Jun-Jul       Impact factor: 3.825

Review 4.  Assessing treatment effects on axonal loss--evidence from MRI monitored clinical trials.

Authors:  Frederik Barkhof
Journal:  J Neurol       Date:  2004-09       Impact factor: 4.849

5.  Method for bias field correction of brain T1-weighted magnetic resonance images minimizing segmentation error.

Authors:  Juan D Gispert; Santiago Reig; Javier Pascau; Juan J Vaquero; Pedro García-Barreno; Manuel Desco
Journal:  Hum Brain Mapp       Date:  2004-06       Impact factor: 5.038

6.  Diffusion tensor-MRI evidence for extra-axonal neuronal degeneration in caudate and thalamic nuclei of patients with multiple sclerosis.

Authors:  S Hannoun; F Durand-Dubief; C Confavreux; D Ibarrola; N Streichenberger; F Cotton; C R G Guttmann; D Sappey-Marinier
Journal:  AJNR Am J Neuroradiol       Date:  2012-03-01       Impact factor: 3.825

7.  Brain volume and diffusion markers as predictors of disability and short-term disease evolution in multiple sclerosis.

Authors:  P G Sämann; M Knop; E Golgor; S Messler; M Czisch; F Weber
Journal:  AJNR Am J Neuroradiol       Date:  2012-03-01       Impact factor: 3.825

8.  Gray matter pathology in MS: a 3-year longitudinal study in a pediatric population.

Authors:  M Calabrese; D Seppi; C Romualdi; F Rinaldi; S Alessio; P Perini; P Gallo
Journal:  AJNR Am J Neuroradiol       Date:  2012-03-15       Impact factor: 3.825

Review 9.  Segmentation of human brain using structural MRI.

Authors:  Gunther Helms
Journal:  MAGMA       Date:  2016-01-06       Impact factor: 2.310

10.  Quantification of blood-to-brain transfer rate in multiple sclerosis.

Authors:  Saeid Taheri; Gary A Rosenberg; Corey Ford
Journal:  Mult Scler Relat Disord       Date:  2012-10-24       Impact factor: 4.339

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