Correlating new directional measures of myelin and axonal integrity in T2-weighted MRI with quantitative histology in multiple sclerosis.


Journal

Journal of neuroscience methods
ISSN: 1872-678X
Titre abrégé: J Neurosci Methods
Pays: Netherlands
ID NLM: 7905558

Informations de publication

Date de publication:
01 01 2019
Historique:
received: 14 06 2018
revised: 17 09 2018
accepted: 17 09 2018
pubmed: 22 9 2018
medline: 26 3 2020
entrez: 22 9 2018
Statut: ppublish

Résumé

Imaging measurement of structure alignment has shown increasing importance in determining tissue properties. It is not known if a similar ability for characterizing neuropathology exists. This study aimed to validate a new alignment-assessing method for measuring myelin and axonal properties using quantitative histological metrics. The new method involved analysis of the Fourier transform (FT) power spectrum in standard magnetic resonance imaging (MRI). T There were significant differences in orientation metrics between tissue types in both MRI and histology, and MRI measurements correlated strongly with histological indices. Moreover, the joint effect of myelin and axonal entropy explained over 95% of the variance of MRI angular entropy. There is no established method for characterizing myelin and axonal pathology using standard MRI. Advanced MRI methods have the potential to do this but are still in research development and are not yet routinely acquired in clinical practice. Alignment measurement using clinical MRI scans may become a valuable new method for characterizing myelin and axonal properties in MS patients.

Sections du résumé

BACKGROUND
Imaging measurement of structure alignment has shown increasing importance in determining tissue properties. It is not known if a similar ability for characterizing neuropathology exists.
NEW METHODS
This study aimed to validate a new alignment-assessing method for measuring myelin and axonal properties using quantitative histological metrics. The new method involved analysis of the Fourier transform (FT) power spectrum in standard magnetic resonance imaging (MRI). T
RESULTS
There were significant differences in orientation metrics between tissue types in both MRI and histology, and MRI measurements correlated strongly with histological indices. Moreover, the joint effect of myelin and axonal entropy explained over 95% of the variance of MRI angular entropy.
COMPARISON WITH EXISTING METHOD
There is no established method for characterizing myelin and axonal pathology using standard MRI. Advanced MRI methods have the potential to do this but are still in research development and are not yet routinely acquired in clinical practice.
CONCLUSIONS
Alignment measurement using clinical MRI scans may become a valuable new method for characterizing myelin and axonal properties in MS patients.

Identifiants

pubmed: 30240805
pii: S0165-0270(18)30287-5
doi: 10.1016/j.jneumeth.2018.09.020
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

369-376

Informations de copyright

Copyright © 2018 Elsevier B.V. All rights reserved.

Auteurs

Shrushrita Sharma (S)

Department of Radiology, University of Calgary, Alberta, Canada; Department of Clinical Neurosciences, University of Calgary, Alberta, Canada; Hotchkiss Brain Institute, University of Calgary, Alberta, Canada.

Cornelia Laule (C)

Department of Radiology, University of British Columbia, British Columbia, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, British Columbia, Canada; International Collaboration on Repair Discoveries (ICORD), University of British Columbia, British Columbia, Canada; Department of Physics & Astronomy, University of British Columbia, British Columbia, Canada.

G R Wayne Moore (GRW)

Department of Pathology and Laboratory Medicine, University of British Columbia, British Columbia, Canada; International Collaboration on Repair Discoveries (ICORD), University of British Columbia, British Columbia, Canada.

David K B Li (DKB)

Department of Radiology, University of British Columbia, British Columbia, Canada.

Yunyan Zhang (Y)

Department of Radiology, University of Calgary, Alberta, Canada; Department of Clinical Neurosciences, University of Calgary, Alberta, Canada; Hotchkiss Brain Institute, University of Calgary, Alberta, Canada. Electronic address: yunyzhan@ucalgary.ca.

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