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Probing axons using multi‐compartmental diffusion in multiple sclerosis
OBJECTS: 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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764633/ https://www.ncbi.nlm.nih.gov/pubmed/31407532 http://dx.doi.org/10.1002/acn3.50836 |
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author | Bagnato, Francesca Franco, Giulia Li, Hua Kaden, Enrico Ye, Fei Fan, Run Chen, Amalie Alexander, Daniel C. Smith, Seth A. Dortch, Richard Xu, Junzhong |
author_facet | Bagnato, Francesca Franco, Giulia Li, Hua Kaden, Enrico Ye, Fei Fan, Run Chen, Amalie Alexander, Daniel C. Smith, Seth A. Dortch, Richard Xu, Junzhong |
author_sort | Bagnato, Francesca |
collection | PubMed |
description | OBJECTS: 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. METHODS: 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 (ax)), and effective neural diffusivity (D (ax)) parametric maps were fitted. Differences in AD, V (ax), and D (ax) between anatomically matched regions reflecting different tissues types were estimated using generalized linear mixed models for binary outcomes. RESULTS: Differences were seen in all SMT‐derived parameters between chronic black holes (cBHs) and T2‐lesions (P ≤ 0.0016), in V (ax) and AD between T2‐lesions and normal appearing white matter (NAWM) (P < 0.0001), but not between the NAWM and normal WM in HCs. Inverse correlations were seen between V (ax) and AD in cBHs (r = −0.750, P = 0.02); in T2‐lesions D (ax) values were associated with V (ax) (r = 0.824, P < 0.0001) and AD (r = 0.570, P = 0.014). INTERPRETATIONS: SMT‐derived metrics are sensitive to pathological changes and hold potential for clinical application in MS patients. |
format | Online Article Text |
id | pubmed-6764633 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67646332019-09-30 Probing axons using multi‐compartmental diffusion in multiple sclerosis Bagnato, Francesca Franco, Giulia Li, Hua Kaden, Enrico Ye, Fei Fan, Run Chen, Amalie Alexander, Daniel C. Smith, Seth A. Dortch, Richard Xu, Junzhong Ann Clin Transl Neurol Research Articles OBJECTS: 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. METHODS: 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 (ax)), and effective neural diffusivity (D (ax)) parametric maps were fitted. Differences in AD, V (ax), and D (ax) between anatomically matched regions reflecting different tissues types were estimated using generalized linear mixed models for binary outcomes. RESULTS: Differences were seen in all SMT‐derived parameters between chronic black holes (cBHs) and T2‐lesions (P ≤ 0.0016), in V (ax) and AD between T2‐lesions and normal appearing white matter (NAWM) (P < 0.0001), but not between the NAWM and normal WM in HCs. Inverse correlations were seen between V (ax) and AD in cBHs (r = −0.750, P = 0.02); in T2‐lesions D (ax) values were associated with V (ax) (r = 0.824, P < 0.0001) and AD (r = 0.570, P = 0.014). INTERPRETATIONS: SMT‐derived metrics are sensitive to pathological changes and hold potential for clinical application in MS patients. John Wiley and Sons Inc. 2019-08-13 /pmc/articles/PMC6764633/ /pubmed/31407532 http://dx.doi.org/10.1002/acn3.50836 Text en © 2019 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals, Inc on behalf of American Neurological Association. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Bagnato, Francesca Franco, Giulia Li, Hua Kaden, Enrico Ye, Fei Fan, Run Chen, Amalie Alexander, Daniel C. Smith, Seth A. Dortch, Richard Xu, Junzhong Probing axons using multi‐compartmental diffusion in multiple sclerosis |
title | Probing axons using multi‐compartmental diffusion in multiple sclerosis |
title_full | Probing axons using multi‐compartmental diffusion in multiple sclerosis |
title_fullStr | Probing axons using multi‐compartmental diffusion in multiple sclerosis |
title_full_unstemmed | Probing axons using multi‐compartmental diffusion in multiple sclerosis |
title_short | Probing axons using multi‐compartmental diffusion in multiple sclerosis |
title_sort | probing axons using multi‐compartmental diffusion in multiple sclerosis |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764633/ https://www.ncbi.nlm.nih.gov/pubmed/31407532 http://dx.doi.org/10.1002/acn3.50836 |
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