Literature DB >> 15955492

Mean diffusivity and fractional anisotropy histogram analysis of the cervical cord in MS patients.

Paola Valsasina1, Maria A Rocca, Federica Agosta, Beatrice Benedetti, Mark A Horsfield, Antonio Gallo, Marco Rovaris, Giancarlo Comi, Massimo Filippi.   

Abstract

The spinal cord is frequently involved in multiple sclerosis (MS), and cord damage may be an important contributor to disability. Diffusion tensor magnetic resonance imaging (DT-MRI) provides quantitative information about the structural and orientational features of the central nervous system. In order to assess whether diffusion tensor-derived measures of cord tissue damage are related to clinical disability, mean diffusivity (MD) and fractional anisotropy (FA) histograms from the cervical cord were acquired from a large cohort of MS patients. Diffusion-weighted sensitivity-encoded (SENSE) echo planar images of the cervical cord, and brain dual-echo and diffusion-weighted scans were acquired from 44 patients with MS and 17 healthy controls. Cord and brain MD and FA histograms were produced. An analysis of variance model, adjusting for cord volume and patient age, was used to compare cord DT-MRI parameters from controls and patients. A multivariate linear regression model was used to identify DT-MRI variables independently associated with disability. Average cervical cord FA was significantly lower in MS patients compared to controls. Cord cross-sectional area, average FA and average MD were all significantly correlated with the degree of disability (r values ranging from 0.36 to 0.51). The multivariate linear regression model retained average cord FA and average brain MD as variables independently associated with disability, with a correlation coefficient of 0.73 (P < 0.001). DT-MRI reveals a loss of cervical cord tissue structure in MS patients. The strong correlation found between a composite DT-MRI score and disability suggests that a full and accurate assessment of cervical cord damage in MS provides information that usefully contributes to an explanation of the clinical manifestations of the disease.

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Year:  2005        PMID: 15955492     DOI: 10.1016/j.neuroimage.2005.02.033

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  33 in total

1.  Surface-based vertexwise analysis of morphometry and microstructural integrity for white matter tracts in diffusion tensor imaging: With application to the corpus callosum in Alzheimer's disease.

Authors:  Xiaoying Tang; Yuanyuan Qin; Wenzhen Zhu; Michael I Miller
Journal:  Hum Brain Mapp       Date:  2017-01-13       Impact factor: 5.038

Review 2.  Examination of spinal cord tissue architecture with magnetic resonance diffusion tensor imaging.

Authors:  Stephan E Maier
Journal:  Neurotherapeutics       Date:  2007-07       Impact factor: 7.620

Review 3.  Spinal cord MRI in multiple sclerosis--diagnostic, prognostic and clinical value.

Authors:  Hugh Kearney; David H Miller; Olga Ciccarelli
Journal:  Nat Rev Neurol       Date:  2015-05-26       Impact factor: 42.937

4.  Correlation between spinal cord diffusion tensor imaging and postural response latencies in persons with multiple sclerosis: A pilot study.

Authors:  Chu-Yu Lee; Jessie M Huisinga; In-Young Choi; Sharon G Lynch; Phil Lee
Journal:  Magn Reson Imaging       Date:  2019-11-05       Impact factor: 2.546

5.  Pulse-triggered DTI sequence with reduced FOV and coronal acquisition at 3T for the assessment of the cervical spinal cord in patients with myelitis.

Authors:  J Hodel; P Besson; O Outteryck; H Zéphir; D Ducreux; A Monnet; D Chéchin; M Zins; M Rodallec; J P Pruvo; P Vermersch; X Leclerc
Journal:  AJNR Am J Neuroradiol       Date:  2012-08-23       Impact factor: 3.825

6.  Short-term evolution of spinal cord damage in multiple sclerosis: a diffusion tensor MRI study.

Authors:  M Théaudin; G Saliou; B Ducot; K Deiva; C Denier; D Adams; D Ducreux
Journal:  Neuroradiology       Date:  2012-06-26       Impact factor: 2.804

Review 7.  MRI evidence for multiple sclerosis as a diffuse disease of the central nervous system.

Authors:  Massimo Filippi; Maria Assunta Rocca
Journal:  J Neurol       Date:  2005-11       Impact factor: 4.849

8.  2D phase-sensitive inversion recovery imaging to measure in vivo spinal cord gray and white matter areas in clinically feasible acquisition times.

Authors:  Nico Papinutto; Regina Schlaeger; Valentina Panara; Eduardo Caverzasi; Sinyeob Ahn; Kevin J Johnson; Alyssa H Zhu; William A Stern; Gerhard Laub; Stephen L Hauser; Roland G Henry
Journal:  J Magn Reson Imaging       Date:  2014-12-08       Impact factor: 4.813

9.  Diffusion tensor magnetic resonance imaging of Wallerian degeneration in rat spinal cord after dorsal root axotomy.

Authors:  Jiangyang Zhang; Melina Jones; Cynthia A DeBoy; Daniel S Reich; Jonathan A D Farrell; Paul N Hoffman; John W Griffin; Kazim A Sheikh; Michael I Miller; Susumu Mori; Peter A Calabresi
Journal:  J Neurosci       Date:  2009-03-11       Impact factor: 6.167

Review 10.  Non-invasive imaging of nerve regeneration.

Authors:  Kazim A Sheikh
Journal:  Exp Neurol       Date:  2009-07-16       Impact factor: 5.330

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