Literature DB >> 12195457

MR correlates of cerebral atrophy in patients with multiple sclerosis.

Nicola De Stefano1, Giuseppe Iannucci, Maria P Sormani, Leonello Guidi, Maria L Bartolozzi, Giancarlo Comi, Antonio Federico, Massimo Filippi.   

Abstract

OBJECTIVE: To investigate the in-vivo correlates of brain atrophy in patients with multiple sclerosis (MS) by assessing the relationship between normalized measures of brain volume (NBV) and other magnetic resonance (MR) measures of tissue damage.
BACKGROUND: Brain atrophy diffusely occurs and progressively increases in patients with MS. Nevertheless, the mechanisms leading to brain atrophy in this disease are not fully understood.
METHODS: MR examinations were performed in 20 patients with relapsing-remitting MS. Conventional MRI was used to assess NBV and total brain T2-hyperintense and T1-hypointense lesion volumes. Proton MR spectroscopic imaging and diffusion tensor MR imaging were also performed for large portions of brain containing mainly normal-appearing tissue to provide indices of tissue damage, including N-acetylaspartate to creatine ratio (NAA/Cr) and mean diffusivity (D).
RESULTS: Values of NBV correlated significantly with those of average brain (r = -0.58, p = 0.007) and NAA/Cr (r = 0.67, p < 0.001). The relationship of these markers of tissue damage to NBV was also found when NAA/Cr and were computed together in a composite MR score (r = 0.70, p < 0.001). In contrast, NBV values did not correlate with measurements of average lesion, T(2) and T(1) weighted total brain MRI lesion volumes.
CONCLUSIONS: This study suggests that brain atrophy in MS is not simply due to axonal loss, but rather reflects a more generalized process that involves various brain tissue components. Damage to the normal-appearing tissue rather than the extent and intrinsic pathology of macroscopic lesions seems to be important in the destructive process leading to MS-related irreversible cerebral atrophy.

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Year:  2002        PMID: 12195457     DOI: 10.1007/s00415-002-0790-5

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  20 in total

1.  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

2.  Widespread microstructural white matter involvement in amyotrophic lateral sclerosis: a whole-brain DTI study.

Authors:  M Cirillo; F Esposito; G Tedeschi; G Caiazzo; A Sagnelli; G Piccirillo; R Conforti; F Tortora; M R Monsurrò; S Cirillo; F Trojsi
Journal:  AJNR Am J Neuroradiol       Date:  2012-02-02       Impact factor: 3.825

3.  Relationships between brain water content and diffusion tensor imaging parameters (apparent diffusion coefficient and fractional anisotropy) in multiple sclerosis.

Authors:  Paul E Sijens; Roy Irwan; Jan Hendrik Potze; Jop P Mostert; Jacques De Keyser; Matthijs Oudkerk
Journal:  Eur Radiol       Date:  2005-12-06       Impact factor: 5.315

Review 4.  MRI in the assessment and monitoring of multiple sclerosis: an update on best practice.

Authors:  Ulrike W Kaunzner; Susan A Gauthier
Journal:  Ther Adv Neurol Disord       Date:  2017-05-12       Impact factor: 6.570

Review 5.  Energy failure in multiple sclerosis and its investigation using MR techniques.

Authors:  David Paling; Xavier Golay; Claudia Wheeler-Kingshott; Raju Kapoor; David Miller
Journal:  J Neurol       Date:  2011-06-10       Impact factor: 4.849

6.  Analysis of the human brain in primary progressive multiple sclerosis with mapping of the spatial distributions using 1H MR spectroscopy and diffusion tensor imaging.

Authors:  Paul E Sijens; Roy Irwan; Jan Hendrik Potze; Jop P Mostert; Jacques De Keyser; Matthijs Oudkerk
Journal:  Eur Radiol       Date:  2005-04-22       Impact factor: 5.315

7.  Retinal nerve fiber layer thickness in subgroups of multiple sclerosis, measured by optical coherence tomography and scanning laser polarimetry.

Authors:  Theodora A M Siepman; Marijke Wefers Bettink-Remeijer; Rogier Q Hintzen
Journal:  J Neurol       Date:  2010-05-12       Impact factor: 4.849

8.  Tract-specific quantitative MRI better correlates with disability than conventional MRI in multiple sclerosis.

Authors:  Daniel M Harrison; Navid Shiee; Pierre-Louis Bazin; Scott D Newsome; John N Ratchford; Dzung Pham; Peter A Calabresi; Daniel S Reich
Journal:  J Neurol       Date:  2012-08-12       Impact factor: 4.849

Review 9.  Disease biomarkers in multiple sclerosis: potential for use in therapeutic decision making.

Authors:  Violaine K Harris; Saud A Sadiq
Journal:  Mol Diagn Ther       Date:  2009       Impact factor: 4.074

10.  N-acetylaspartic acid in cerebrospinal fluid of multiple sclerosis patients determined by gas-chromatography-mass spectrometry.

Authors:  Bas Jasperse; Cornelis Jakobs; M Judith Eikelenboom; Christine D Dijkstra; Bernard M J Uitdehaag; Frederik Barkhof; Chris H Polman; Charlotte E Teunissen
Journal:  J Neurol       Date:  2007-04-06       Impact factor: 4.849

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