Literature DB >> 12063230

Quantification of brain gray matter damage in different MS phenotypes by use of diffusion tensor MR imaging.

Marco Bozzali1, Mara Cercignani, Maria Pia Sormani, Giancarlo Comi, Massimo Filippi.   

Abstract

BACKGROUND AND
PURPOSE: Increasing evidence exists that cerebral gray matter (GM) from patients with multiple sclerosis (MS) is not spared. This study was performed to quantify in vivo the extent of cerebral GM pathologic abnormality in patients with relapsing-remitting (RR), secondary progressive (SP), and primary progressive MS, by using diffusion tensor (DT) MR imaging.
METHODS: Dual-echo and DT MR imaging of the brain were performed in 102 patients with MS and 30 healthy volunteers. After GM segmentation using a technique based on diffusion anisotropy thresholding, average diffusivity (D) histograms of the cerebral GM were produced for all participants.
RESULTS: All D histogram-derived metrics of the GM were significantly different between control volunteers and the whole MS population. No significant difference was found for any of the D histogram-derived metrics between control volunteers and patients with RRMS, whereas significant differences were found for D and D histogram peak location between control volunteers and patients with PPMS. All the D histogram-derived metrics differed significantly between patients with RRMS and patients with SPMS. Patients with SPMS also had significantly lower D than did patients with PPMS. All D histogram-derived metrics of the GM were strongly correlated with the T2 lesion volume.
CONCLUSIONS: This study confirms the presence of brain GM changes in patients with MS. It also shows that the extent of such changes is greater during the progressive forms of the disease.

Entities:  

Mesh:

Year:  2002        PMID: 12063230      PMCID: PMC7976912     

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  24 in total

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Authors:  D K Jones; M A Horsfield; A Simmons
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Review 2.  Normal-appearing white matter changes in multiple sclerosis: the contribution of magnetic resonance techniques.

Authors:  M Filippi; C Tortorella; M Bozzali
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Authors:  B BROWNELL; J T HUGHES
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4.  Cortical lesions in multiple sclerosis.

Authors:  D Kidd; F Barkhof; R McConnell; P R Algra; I V Allen; T Revesz
Journal:  Brain       Date:  1999-01       Impact factor: 13.501

5.  Quantitative assessment of MRI lesion load in multiple sclerosis. A comparison of conventional spin-echo with fast fluid-attenuated inversion recovery.

Authors:  M Filippi; T Yousry; C Baratti; M A Horsfield; S Mammi; C Becker; R Voltz; S Spuler; A Campi; M F Reiser; G Comi
Journal:  Brain       Date:  1996-08       Impact factor: 13.501

6.  Magnetization transfer ratio histogram analysis of gray matter in relapsing-remitting multiple sclerosis.

Authors:  Y Ge; R I Grossman; J K Udupa; J S Babb; D L Kolson; J C McGowan
Journal:  AJNR Am J Neuroradiol       Date:  2001-03       Impact factor: 3.825

7.  Defining the clinical course of multiple sclerosis: results of an international survey. National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis.

Authors:  F D Lublin; S C Reingold
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Review 8.  The role of magnetic resonance techniques in understanding and managing multiple sclerosis.

Authors:  D H Miller; R I Grossman; S C Reingold; H F McFarland
Journal:  Brain       Date:  1998-01       Impact factor: 13.501

9.  Intra-observer reproducibility in measuring new putative MR markers of demyelination and axonal loss in multiple sclerosis: a comparison with conventional T2-weighted images.

Authors:  M Rovaris; M Filippi; G Calori; M Rodegher; A Campi; B Colombo; G Comi
Journal:  J Neurol       Date:  1997-04       Impact factor: 4.849

10.  Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS).

Authors:  J F Kurtzke
Journal:  Neurology       Date:  1983-11       Impact factor: 9.910

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  48 in total

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2.  Fractional anisotropy derived from the diffusion tensor distribution function boosts power to detect Alzheimer's disease deficits.

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Journal:  Magn Reson Med       Date:  2017-03-07       Impact factor: 4.668

Review 3.  Diffusion tensor imaging of the brain: review of clinical applications.

Authors:  P C Sundgren; Q Dong; D Gómez-Hassan; S K Mukherji; P Maly; R Welsh
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4.  Cortical lesions in multiple sclerosis: combined postmortem MR imaging and histopathology.

Authors:  Jeroen J G Geurts; Lars Bö; Petra J W Pouwels; Jonas A Castelijns; Chris H Polman; Frederik Barkhof
Journal:  AJNR Am J Neuroradiol       Date:  2005-03       Impact factor: 3.825

5.  Diffusion tensor imaging in the assessment of normal-appearing brain tissue damage in relapsing neuromyelitis optica.

Authors:  C S Yu; F C Lin; K C Li; T Z Jiang; C Z Zhu; W Qin; H Sun; P Chan
Journal:  AJNR Am J Neuroradiol       Date:  2006-05       Impact factor: 3.825

6.  Effects of number of diffusion gradient directions on derived diffusion tensor imaging indices in human brain.

Authors:  H Ni; V Kavcic; T Zhu; S Ekholm; J Zhong
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Review 7.  Autoimmune modulation of astrocyte-mediated homeostasis.

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8.  Improved identification of intracortical lesions in multiple sclerosis with phase-sensitive inversion recovery in combination with fast double inversion recovery MR imaging.

Authors:  F Nelson; A H Poonawalla; P Hou; F Huang; J S Wolinsky; P A Narayana
Journal:  AJNR Am J Neuroradiol       Date:  2007-09-20       Impact factor: 3.825

9.  Plasma membrane calcium ATPase deficiency causes neuronal pathology in the spinal cord: a potential mechanism for neurodegeneration in multiple sclerosis and spinal cord injury.

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10.  Relevance of the skewness index in DTI exploration of multiple sclerosis.

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