Literature DB >> 22744352

Fiber density index in the evaluation of the spinal cord in patients with multiple sclerosis.

M Ukmar1, A Montalbano, E Makuc, I Specogna, A Bratina, R Longo, M A Cova.   

Abstract

PURPOSE: The aims of this study were to determine fractional anisotropy (FA) and the fibre density index (FDi) in the cervical spinal cord of patients with multiple sclerosis (MS) by using diffusion-tensor magnetic resonance imaging (DT-MRI) to identify possible differences between MS patients and controls.
MATERIALS AND METHODS: We studied 27 patients with MS - nine with primary progressive (PPMS), nine with secondary progressive (SPMS) and nine with relapsing-remitting (RRMS) disease - and 18 healthy individuals as controls. Conventional and DTI sequences with diffusion gradients applied in 32 directions were obtained. The results were compared between healthy controls and patients, between healthy controls and individual forms of MS and between the three forms of MS. Statistical analysis was performed by analysis of variance (ANOVA) and Student's t test.
RESULTS: The FDi in the three subgroups of patients and in controls showed a statistically significant difference. Using the t test, we found results from both PPMS and SPMS groups were different from controls. The correlation between FA and FDi was significant both in healthy controls and in MS patients evaluated as a single group. CONSLUCIONS: Despite the small group of patients, these findings suggest that FDi associated with FA is a sensitive parameter for assessing spinal cord damage in patients with MS.

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Year:  2012        PMID: 22744352     DOI: 10.1007/s11547-012-0848-0

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  30 in total

Review 1.  Staging of multiple sclerosis (MS) lesions: pathology of the time frame of MS.

Authors:  P van der Valk; C J De Groot
Journal:  Neuropathol Appl Neurobiol       Date:  2000-02       Impact factor: 8.090

2.  Quantification of cervical cord pathology in primary progressive MS using diffusion tensor MRI.

Authors:  F Agosta; B Benedetti; M A Rocca; P Valsasina; M Rovaris; G Comi; M Filippi
Journal:  Neurology       Date:  2005-02-22       Impact factor: 9.910

3.  A method for obtaining tract-specific diffusion tensor MRI measurements in the presence of disease: application to patients with clinically isolated syndromes suggestive of multiple sclerosis.

Authors:  E Pagani; M Filippi; M A Rocca; M A Horsfield
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4.  Dependence of the fractional anisotropy in cervical spine from the number of diffusion gradients, repeated acquisition and voxel size.

Authors:  Xenja Santarelli; Gabriele Garbin; Maja Ukmar; Renata Longo
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5.  Heterogeneity of multiple sclerosis lesions: implications for the pathogenesis of demyelination.

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Authors:  Tim P L Roberts; Fang Liu; Andrea Kassner; Susumu Mori; Abhijit Guha
Journal:  AJNR Am J Neuroradiol       Date:  2005-10       Impact factor: 3.825

7.  MR diffusion tensor imaging and fiber tracking in inflammatory diseases of the spinal cord.

Authors:  J Renoux; D Facon; P Fillard; I Huynh; P Lasjaunias; D Ducreux
Journal:  AJNR Am J Neuroradiol       Date:  2006-10       Impact factor: 3.825

Review 8.  Magnetic resonance imaging monitoring of multiple sclerosis lesion evolution.

Authors:  Matilde Inglese; Robert I Grossman; Massimo Filippi
Journal:  J Neuroimaging       Date:  2005       Impact factor: 2.486

9.  Diffusion tensor magnetic resonance imaging in multiple sclerosis.

Authors:  M Filippi; M Cercignani; M Inglese; M A Horsfield; G Comi
Journal:  Neurology       Date:  2001-02-13       Impact factor: 9.910

10.  Fiber density index, fractional anisotropy, adc and clinical motor findings in the white matter of patients with glioblastoma.

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Journal:  Eur Radiol       Date:  2007-09-25       Impact factor: 5.315

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  2 in total

1.  Microstructural changes of brain in patients with aromatic L-amino acid decarboxylase deficiency.

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Review 2.  Translating state-of-the-art spinal cord MRI techniques to clinical use: A systematic review of clinical studies utilizing DTI, MT, MWF, MRS, and fMRI.

Authors:  Allan R Martin; Izabela Aleksanderek; Julien Cohen-Adad; Zenovia Tarmohamed; Lindsay Tetreault; Nathaniel Smith; David W Cadotte; Adrian Crawley; Howard Ginsberg; David J Mikulis; Michael G Fehlings
Journal:  Neuroimage Clin       Date:  2015-12-04       Impact factor: 4.881

  2 in total

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