Cited by 44Advanced Neuroimaging Techniques and ApplicationsMultiple Sclerosis Research StudiesAdvanced MRI Techniques and Applications

Complementary information from multi-exponential T2 relaxation and diffusion tensor imaging reveals differences between multiple sclerosis lesions

Kolind, Shannon H., Laule, Cornelia, Vavasour, Irene M., Li, David K.B., Traboulsee, Anthony L., Mädler, Burkhard, Moore, G.R. Wayne, MacKay, Alex L.·2008·NeuroImage

Abstract

While conventional magnetic resonance imaging (MRI) has long been used to study multiple sclerosis (MS), more sensitive and specific approaches to studying both MS lesions and normal appearing white matter (NAWM) are needed to gain a better understanding of the pathogenesis of the disease. Two MRI techniques thought to offer insight regarding myelin and axonal integrity are T(2) relaxation and diffusion tensor imaging (DTI). In this study, metrics obtained from T(2) relaxation (specifically myelin water content (MWC) and long-T(2) fraction) and DTI experiments (in particular the fractional anisotropy, mean diffusivity , parallel diffusivity lambda(||), and perpendicular diffusivity lambda(perpendicular)) were compared for 19 MS patients within both lesion and contralateral NAWM with the goal of better understanding how each of the measures are affected by pathology. In particular, it was successfully determined that the detection of a long-T(2) signal within an MS lesion is indicative of a different underlying pathology than is present in lesions without long-T(2) signal. All of the diffusion metrics were significantly different in lesions with a long-T(2) signal than in those without. While no significant correlations were found between MWC and , lambda(||) or lambda(perpendicular) in NAWM (R(2)=0.02-0.04, p>0.07), and only weak correlations were found in lesions without long-T(2) signal (R(2)=0.05-0.14, p<0.04), strong correlations were observed in lesions exhibiting long-T…

Integrity signals

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Crossref · 10.1016/j.neuroimage.2007.11.033

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  • Multiple myelin markers can provide complementary information.

    “many studies have already found that multiple myelin markers can provide complementary information (Callaghan, Freund, Draganski, Anderson, Cappelletti, Chowdhury, Diedrichsen, Fitzgerald, Smittenaar, Helms, Lutti, Weiskopf, 2014, Eichert et al., 2020, Kolind, Laule, Vavasour, Li, Traboulsee, Mädler, Moore, Mackay, 2008, Lipp, Jones, Bells, Sgarlata, Foster, Stickland, Davidson, Tallantyre, Rober”

    From Can MRI measure myelin? Systematic review, qualitative assessment, and meta-analysis of studies validating microstructural imaging with myelin histology (2021) · cites this paper as Kolind, Laule, Vavasour, Li, Traboulsee, Mädler, Moore, Mackay, 2008

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Authors
Kolind, S. H., Laule, C., Vavasour, I. M., Li, D. K. B., Traboulsee, A. L., Mädler, B., Moore, G. R. W., & MacKay, A. L.
Affiliations
University of British Columbia (CA)
Corresponding author
Kolind, Shannon H.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2008-03-01
Volume
40
Issue
1
Pages
77-85
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2105528651
Cited by
44
References
70
Citations by year
2024: 2 · 2023: 2 · 2021: 5 · 2019: 3 · 2018: 2 · 2017: 1 · 2015: 3 · 2014: 5 · 2013: 4 · 2012: 3
FWCI
3.00
Type
journal article
Language
en
Open access
closed
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Multiple Sclerosis Society
  • Killam Trusts
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
multiple sclerosis, multiple sclerosis lesions, normal-appearing white matter, diffusion tensor imaging, fractional anisotropy, mean diffusivity, myelin integrity, axonal integrity, pathological lesions
MeSH terms
Adult, Algorithms, Brain, Data Interpretation, Statistical, Female, Humans, Image Processing, Computer-Assisted, Male, Middle Aged, Multiple Sclerosis, Diffusion Magnetic Resonance Imaging

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