Probing axons using multi-compartmental diffusion in multiple sclerosis.


Journal

Annals of clinical and translational neurology
ISSN: 2328-9503
Titre abrégé: Ann Clin Transl Neurol
Pays: United States
ID NLM: 101623278

Informations de publication

Date de publication:
09 2019
Historique:
received: 26 03 2019
revised: 28 05 2019
accepted: 06 06 2019
pubmed: 14 8 2019
medline: 13 5 2020
entrez: 14 8 2019
Statut: ppublish

Résumé

The diffusion-based spherical mean technique (SMT) provides a novel model to relate multi-b-value diffusion magnetic resonance imaging (MRI) data to features of tissue microstructure. We propose the first clinical application of SMT to image the brain of patients with multiple sclerosis (MS) and investigate clinical feasibility and translation. Eighteen MS patients and nine age- and sex-matched healthy controls (HCs) underwent a 3.0 Tesla scan inclusive of clinical sequences and SMT images (isotropic resolution of 2 mm). Axial diffusivity (AD), apparent axonal volume fraction (V Differences were seen in all SMT-derived parameters between chronic black holes (cBHs) and T2-lesions (P ≤ 0.0016), in V SMT-derived metrics are sensitive to pathological changes and hold potential for clinical application in MS patients.

Identifiants

pubmed: 31407532
doi: 10.1002/acn3.50836
pmc: PMC6764633
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

1595-1605

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR000445
Pays : United States
Organisme : European Union Horizon 2020
ID : EU H2020 634541-2
Pays : International
Organisme : National Multiple Sclerosis Society
ID : NMSS PP-1801-29686
Pays : International
Organisme : NIH HHS
ID : S10 OD021771
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB000461
Pays : United States
Organisme : NIBIB NIH HHS
ID : K01 EB009120
Pays : United States
Organisme : National Multiple Sclerosis Society
ID : NMSS RG-1501-02840
Pays : International
Organisme : Engineering and Physical Sciences Research Council
ID : UK EPSRC EP/M020533/1
Pays : International
Organisme : NIBIB NIH HHS
ID : K25 EB013659
Pays : United States
Organisme : Engineering and Physical Sciences Research Council
ID : UK EPSRC EP/N018702/1
Pays : International

Informations de copyright

© 2019 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals, Inc on behalf of American Neurological Association.

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Auteurs

Francesca Bagnato (F)

Neuroimaging Unit/Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee.
Neurology Department, VA, TN Valley Healthcare System, Nashville, Tennessee, 37215.

Giulia Franco (G)

Neuroimaging Unit/Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee.
IRCCS Foundation Ca' Granda Ospedale Maggiore Policlinico, Dino Ferrari Center, Neuroscience Section, Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.

Hua Li (H)

Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.

Enrico Kaden (E)

Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.

Fei Ye (F)

Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.

Run Fan (R)

Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.

Amalie Chen (A)

Neuroimaging Unit/Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee.

Daniel C Alexander (DC)

Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.

Seth A Smith (SA)

Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.

Richard Dortch (R)

Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.
Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee.

Junzhong Xu (J)

Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.

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