Evidence for Progressive Microstructural Damage in Early Multiple Sclerosis by Multi-Shell Diffusion Magnetic Resonance Imaging.


Journal

Neuroscience
ISSN: 1873-7544
Titre abrégé: Neuroscience
Pays: United States
ID NLM: 7605074

Informations de publication

Date de publication:
01 04 2019
Historique:
received: 04 08 2018
revised: 12 01 2019
accepted: 14 01 2019
pubmed: 2 2 2019
medline: 10 7 2019
entrez: 2 2 2019
Statut: ppublish

Résumé

In multiple sclerosis (MS), it would be of clinical value to be able to track the progression of axonal pathology, especially before the manifestation of clinical disability. However, non-invasive evaluation of short-term longitudinal progression of white matter integrity is challenging. This study aims at assessing longitudinal changes in the restricted (i.e. intracellular) diffusion signal fraction (FR) in early-stage MS by using ultra-high gradient strength multi-shell diffusion magnetic resonance imaging. In 11 early MS subjects (disease duration ≤5 years), FR was obtained at two timepoints (one year apart) through the Composite Hindered and Restricted Model of Diffusion, along with conventional Diffusion Tensor Imaging metrics. At follow-up, no statistically significant change was detected in clinical variables, while all imaging metrics showed statistically significant longitudinal changes (p < 0.01, corrected for multiple comparisons) in widespread regions in normal-appearing white matter (NAWM). The most extensive longitudinal changes were observed in FR, including areas known to include a large fraction of crossing fibers. Furthermore, FR was also the only metric showing significant longitudinal changes in lesions that were present at both time points (p = 0.007), with no significant differences found for conventional diffusion metrics. Finally, FR was the only diffusion metric (as compared to Diffusion Tensor Imaging) that revealed pre-lesional changes already present at baseline. Taken together, our data provide evidence for progressive microstructural damage in the NAWM of early MS cases detectable already at 1-year follow-up. Our study highlights the value of multi-shell diffusion imaging for sensitive tracking of disease evolution in MS before any clinical changes are observed. This article is part of a Special Issue entitled: SI: MRI and Neuroinflammation.

Identifiants

pubmed: 30708049
pii: S0306-4522(19)30042-9
doi: 10.1016/j.neuroscience.2019.01.022
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

27-34

Subventions

Organisme : NINDS NIH HHS
ID : NIH R01NS07832201 A1
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH093765
Pays : United States
Organisme : NIBIB NIH HHS
ID : P41 EB015896
Pays : United States
Organisme : NCRR NIH HHS
ID : S10 RR023043
Pays : United States
Organisme : NCRR NIH HHS
ID : S10 RR023401
Pays : United States
Organisme : NCRR NIH HHS
ID : S10 RR019307
Pays : United States

Informations de copyright

Copyright © 2019 IBRO. Published by Elsevier Ltd. All rights reserved.

Auteurs

Nicola Toschi (N)

Athinoula A. Martinos Center for Biomedical Imaging and Harvard Medical School, Boston, MA, USA; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy. Electronic address: toschi@med.uniroma2.it.

Silvia De Santis (S)

Instituto de Neurociencias de Alicante (CSIC-UMH), San Juan de Alicante, Spain; Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, UK.

Tobias Granberg (T)

Athinoula A. Martinos Center for Biomedical Imaging and Harvard Medical School, Boston, MA, USA; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Radiology, Karolinska University Hospital, Stockholm, Sweden.

Russell Ouellette (R)

Athinoula A. Martinos Center for Biomedical Imaging and Harvard Medical School, Boston, MA, USA; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Constantina A Treaba (CA)

Athinoula A. Martinos Center for Biomedical Imaging and Harvard Medical School, Boston, MA, USA.

Elena Herranz (E)

Athinoula A. Martinos Center for Biomedical Imaging and Harvard Medical School, Boston, MA, USA.

Caterina Mainero (C)

Athinoula A. Martinos Center for Biomedical Imaging and Harvard Medical School, Boston, MA, USA.

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