Literature DB >> 11337342

Mean diffusivity and fractional anisotropy histograms of patients with multiple sclerosis.

M Cercignani1, M Inglese, E Pagani, G Comi, M Filippi.   

Abstract

BACKGROUND AND
PURPOSE: Compared with conventional T2-weighted MR imaging, diffusion tensor MR imaging provides quantitative indices with increased specificity to the most destructive aspects of multiple sclerosis. In this study, we obtained brain mean diffusivity (_D) and fractional anisotropy histograms of patients with multiple sclerosis to compare them with those of healthy volunteers and to investigate the correlation between diffusion tensor MR imaging histogram-derived measures and the level of disability and quantities derived from conventional MR imaging.
METHODS: Dual-echo and diffusion tensor MR images were obtained from 78 patients with relapsing-remitting, secondary progressive, or primary progressive multiple sclerosis and from 20 healthy control volunteers. After obtaining mean diffusivity (_D) and fractional anisotropy images and image coregistration, _D and fractional anisotropy histograms were created. From each histogram, the following measures were derived: the average _D and fractional anisotropy, the histogram peak heights, and the histogram peak locations.
RESULTS: All the _D and fractional anisotropy histogram-derived measures were different between patients and controls at a significance level of P <.001. No differences were found in any of the considered quantities among the three multiple sclerosis phenotypes. In patients with relapsing-remitting multiple sclerosis, disability was correlated with histogram average_D (r = 0.4, P =.01) and peak height (r = -0.4, P =.01). In patients with secondary progressive multiple sclerosis, disability was correlated with fractional anisotropy histogram peak position (r = -0.6, P =.01). Significant correlations were also found between T2 lesion load and various diffusion tensor MR quantities.
CONCLUSION: This study shows that brain _D and fractional anisotropy histograms are different for patients with multiple sclerosis compared with control volunteers. This study also shows that quantities derived from diffusion tensor MR imaging are correlated with disability in patients with relapsing-remitting multiple sclerosis and secondary progressive multiple sclerosis, suggesting that they might serve as additional measures of outcome when monitoring multiple sclerosis evolution in these patients.

Entities:  

Mesh:

Year:  2001        PMID: 11337342      PMCID: PMC8174941     

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


  34 in total

1.  Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging.

Authors:  D K Jones; M A Horsfield; A Simmons
Journal:  Magn Reson Med       Date:  1999-09       Impact factor: 4.668

2.  Magnetisation transfer ratio and mean diffusivity of normal appearing white and grey matter from patients with multiple sclerosis.

Authors:  M Cercignani; M Bozzali; G Iannucci; G Comi; M Filippi
Journal:  J Neurol Neurosurg Psychiatry       Date:  2001-03       Impact factor: 10.154

3.  Nuclear magnetic resonance measurement of skeletal muscle: anisotrophy of the diffusion coefficient of the intracellular water.

Authors:  G G Cleveland; D C Chang; C F Hazlewood; H E Rorschach
Journal:  Biophys J       Date:  1976-09       Impact factor: 4.033

4.  Automated three-dimensional registration of magnetic resonance and positron emission tomography brain images by multiresolution optimization of voxel similarity measures.

Authors:  C Studholme; D L Hill; D J Hawkes
Journal:  Med Phys       Date:  1997-01       Impact factor: 4.071

5.  Estimation of the effective self-diffusion tensor from the NMR spin echo.

Authors:  P J Basser; J Mattiello; D LeBihan
Journal:  J Magn Reson B       Date:  1994-03

6.  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
Journal:  Neurology       Date:  1996-04       Impact factor: 9.910

7.  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

8.  In vivo magnetic resonance diffusion measurement in the brain of patients with multiple sclerosis.

Authors:  H B Larsson; C Thomsen; J Frederiksen; M Stubgaard; O Henriksen
Journal:  Magn Reson Imaging       Date:  1992       Impact factor: 2.546

9.  A magnetization transfer imaging study of normal-appearing white matter in multiple sclerosis.

Authors:  M Filippi; A Campi; V Dousset; C Baratti; V Martinelli; N Canal; G Scotti; G Comi
Journal:  Neurology       Date:  1995-03       Impact factor: 9.910

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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  60 in total

Review 1.  Clinical trials and clinical practice in multiple sclerosis: conventional and emerging magnetic resonance imaging technologies.

Authors:  Massimo Filippi; Maria A Rocca; Marco Rovaris
Journal:  Curr Neurol Neurosci Rep       Date:  2002-05       Impact factor: 5.081

2.  Diffusion tensor imaging applications in multiple sclerosis patients using 3T magnetic resonance: a preliminary study.

Authors:  Lorenzo Testaverde; Laura Caporali; Eugenio Venditti; Giovanni Grillea; Claudio Colonnese
Journal:  Eur Radiol       Date:  2011-12-09       Impact factor: 5.315

3.  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

Review 4.  Multicentre imaging measurements for oncology and in the brain.

Authors:  P S Tofts; D J Collins
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

5.  Frontal white matter changes and aggression in methamphetamine dependence.

Authors:  Katharina Lederer; Jean-Paul Fouche; Don Wilson; Dan J Stein; Anne Uhlmann
Journal:  Metab Brain Dis       Date:  2015-12-15       Impact factor: 3.584

6.  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

7.  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

8.  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
Journal:  AJNR Am J Neuroradiol       Date:  2006-09       Impact factor: 3.825

9.  Diffusion tensor tractography-based group mapping of the pyramidal tract in relapsing-remitting multiple sclerosis patients.

Authors:  F Lin; C Yu; T Jiang; K Li; P Chan
Journal:  AJNR Am J Neuroradiol       Date:  2007-02       Impact factor: 3.825

10.  A diffusion longitudinal MR imaging study in normal-appearing white matter in untreated relapsing-remitting multiple sclerosis.

Authors:  F G Garaci; V Colangelo; A Ludovici; F Gaudiello; S Marziali; D Centonze; L Boffa; G Simonetti; R Floris
Journal:  AJNR Am J Neuroradiol       Date:  2007-03       Impact factor: 3.825

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