Literature DB >> 35754351

Diffusion-derived parameters in lesions, peri-lesion and normal-appearing white matter in multiple sclerosis using tensor, kurtosis and fixel-based analysis.

Chris Wj van der Weijden1, Anouk van der Hoorn2, Jan Hendrik Potze2, Remco J Renken3, Ronald Jh Borra1, Rudi Ajo Dierckx1, Ingomar W Gutmann4, Hakim Ouaalam5, Davood Karimi6,7, Ali Gholipour5,6,7, Simon K Warfield5,6,7, Erik Fj de Vries1, Jan F Meilof3,8.   

Abstract

Neuronal damage is the primary cause of long-term disability of multiple sclerosis (MS) patients. Assessment of axonal integrity from diffusion MRI parameters might enable better disease characterisation. 16 diffusion derived measurements from diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), and fixel-based analysis (FBA) in lesions, peri-lesion and normal appearing white matter were investigated. Diffusion MRI scans of 11 MS patients were processed to generate DTI, DKI, and FBA images. Fractional anisotropy (FA) and fibre density (FD) were used to assess axonal integrity across brain regions. Subsequently, 359 lesions were identified, and lesion and peri-lesion segmentation was performed using structural T1w, T2w, T2w-FLAIR, and T1w post-contrast MRI. The segmentations were then used to extract 16 diffusion MRI parameters from lesion, peri-lesion, and contralateral normal appearing white matter (NAWM). The measurements for axonal integrity, DTI-FA, DKI-FA, FBA-FD, produced similar results. All diffusion MRI parameters were affected in lesions as compared to NAWM (p < 0.001), confirming loss of axonal integrity in lesions. In peri-lesions, most parameters, except FBA-FD, were also significantly different from NAWM, although the effect size was smaller than in lesions. The reduction in axonal integrity in peri-lesions, despite unaffected fibre density estimates, suggests an effect of Wallerian degeneration.

Entities:  

Keywords:  Axonal integrity; diffusion kurtosis imaging; diffusion tensor imaging; fixel-based analysis; multiple sclerosis

Mesh:

Year:  2022        PMID: 35754351      PMCID: PMC9580168          DOI: 10.1177/0271678X221107953

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.960


  51 in total

1.  Gibbs-ringing artifact removal based on local subvoxel-shifts.

Authors:  Elias Kellner; Bibek Dhital; Valerij G Kiselev; Marco Reisert
Journal:  Magn Reson Med       Date:  2015-11-24       Impact factor: 4.668

2.  Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution.

Authors:  J-Donald Tournier; Fernando Calamante; David G Gadian; Alan Connelly
Journal:  Neuroimage       Date:  2004-11       Impact factor: 6.556

Review 3.  Advances in functional and structural MR image analysis and implementation as FSL.

Authors:  Stephen M Smith; Mark Jenkinson; Mark W Woolrich; Christian F Beckmann; Timothy E J Behrens; Heidi Johansen-Berg; Peter R Bannister; Marilena De Luca; Ivana Drobnjak; David E Flitney; Rami K Niazy; James Saunders; John Vickers; Yongyue Zhang; Nicola De Stefano; J Michael Brady; Paul M Matthews
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

4.  About "axial" and "radial" diffusivities.

Authors:  Claudia A M Wheeler-Kingshott; Mara Cercignani
Journal:  Magn Reson Med       Date:  2009-05       Impact factor: 4.668

5.  The evaluation of MRI diffusion values of active demyelinating lesions in multiple sclerosis.

Authors:  Mohammad Abdoli; Santanu Chakraborty; Heather J MacLean; Mark S Freedman
Journal:  Mult Scler Relat Disord       Date:  2016-09-28       Impact factor: 4.339

6.  Cerebral gliomas: diffusional kurtosis imaging analysis of microstructural differences.

Authors:  Peter Raab; Elke Hattingen; Kea Franz; Friedhelm E Zanella; Heinrich Lanfermann
Journal:  Radiology       Date:  2010-01-20       Impact factor: 11.105

7.  Multiple sclerosis. Distribution of T cells, T cell subsets and Ia-positive macrophages in lesions of different ages.

Authors:  U Traugott; E L Reinherz; C S Raine
Journal:  J Neuroimmunol       Date:  1983-06       Impact factor: 3.478

8.  Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria.

Authors:  Chris H Polman; Stephen C Reingold; Brenda Banwell; Michel Clanet; Jeffrey A Cohen; Massimo Filippi; Kazuo Fujihara; Eva Havrdova; Michael Hutchinson; Ludwig Kappos; Fred D Lublin; Xavier Montalban; Paul O'Connor; Magnhild Sandberg-Wollheim; Alan J Thompson; Emmanuelle Waubant; Brian Weinshenker; Jerry S Wolinsky
Journal:  Ann Neurol       Date:  2011-02       Impact factor: 10.422

9.  Relationship of acute axonal damage, Wallerian degeneration, and clinical disability in multiple sclerosis.

Authors:  Shailender Singh; Tobias Dallenga; Anne Winkler; Shanu Roemer; Brigitte Maruschak; Heike Siebert; Wolfgang Brück; Christine Stadelmann
Journal:  J Neuroinflammation       Date:  2017-03-17       Impact factor: 8.322

10.  DTI Measurements in Multiple Sclerosis: Evaluation of Brain Damage and Clinical Implications.

Authors:  Emilia Sbardella; Francesca Tona; Nikolaos Petsas; Patrizia Pantano
Journal:  Mult Scler Int       Date:  2013-03-31
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