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Using DTI to assess white matter microstructure in cerebral small vessel disease (SVD) in multicentre studies
Diffusion tensor imaging (DTI) metrics such as fractional anisotropy (FA) and mean diffusivity (MD) have been proposed as clinical trial markers of cerebral small vessel disease (SVD) due to their associations with outcomes such as cognition. However, studies investigating this have been predominant...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Portland Press Ltd.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5461938/ https://www.ncbi.nlm.nih.gov/pubmed/28487471 http://dx.doi.org/10.1042/CS20170146 |
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author | Croall, Iain D. Lohner, Valerie Moynihan, Barry Khan, Usman Hassan, Ahamad O’Brien, John T. Morris, Robin G. Tozer, Daniel J. Cambridge, Victoria C. Harkness, Kirsty Werring, David J. Blamire, Andrew M. Ford, Gary A. Barrick, Thomas R. Markus, Hugh S. |
author_facet | Croall, Iain D. Lohner, Valerie Moynihan, Barry Khan, Usman Hassan, Ahamad O’Brien, John T. Morris, Robin G. Tozer, Daniel J. Cambridge, Victoria C. Harkness, Kirsty Werring, David J. Blamire, Andrew M. Ford, Gary A. Barrick, Thomas R. Markus, Hugh S. |
author_sort | Croall, Iain D. |
collection | PubMed |
description | Diffusion tensor imaging (DTI) metrics such as fractional anisotropy (FA) and mean diffusivity (MD) have been proposed as clinical trial markers of cerebral small vessel disease (SVD) due to their associations with outcomes such as cognition. However, studies investigating this have been predominantly single-centre. As clinical trials are likely to be multisite, further studies are required to determine whether associations with cognition of similar strengths can be detected in a multicentre setting. One hundred and nine patients (mean age =68 years) with symptomatic lacunar infarction and confluent white matter hyperintensities (WMH) on MRI was recruited across six sites as part of the PRESERVE DTI substudy. After handling missing data, 3T-MRI scanning was available from five sites on five scanner models (Siemens and Philips), alongside neuropsychological and quality of life (QoL) assessments. FA median and MD peak height were extracted from DTI histogram analysis. Multiple linear regressions were performed, including normalized brain volume, WMH lesion load, and n° lacunes as covariates, to investigate the association of FA and MD with cognition and QoL. DTI metrics from all white matter were significantly associated with global cognition (standardized β =0.268), mental flexibility (β =0.306), verbal fluency (β =0.376), and Montreal Cognitive Assessment (MoCA) (β =0.273). The magnitudes of these associations were comparable with those previously reported from single-centre studies found in a systematic literature review. In this multicentre study, we confirmed associations between DTI parameters and cognition, which were similar in strength to those found in previous single-centre studies. The present study supports the use of DTI metrics as biomarkers of disease progression in multicentre studies. |
format | Online Article Text |
id | pubmed-5461938 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Portland Press Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-54619382017-06-13 Using DTI to assess white matter microstructure in cerebral small vessel disease (SVD) in multicentre studies Croall, Iain D. Lohner, Valerie Moynihan, Barry Khan, Usman Hassan, Ahamad O’Brien, John T. Morris, Robin G. Tozer, Daniel J. Cambridge, Victoria C. Harkness, Kirsty Werring, David J. Blamire, Andrew M. Ford, Gary A. Barrick, Thomas R. Markus, Hugh S. Clin Sci (Lond) Research Articles Diffusion tensor imaging (DTI) metrics such as fractional anisotropy (FA) and mean diffusivity (MD) have been proposed as clinical trial markers of cerebral small vessel disease (SVD) due to their associations with outcomes such as cognition. However, studies investigating this have been predominantly single-centre. As clinical trials are likely to be multisite, further studies are required to determine whether associations with cognition of similar strengths can be detected in a multicentre setting. One hundred and nine patients (mean age =68 years) with symptomatic lacunar infarction and confluent white matter hyperintensities (WMH) on MRI was recruited across six sites as part of the PRESERVE DTI substudy. After handling missing data, 3T-MRI scanning was available from five sites on five scanner models (Siemens and Philips), alongside neuropsychological and quality of life (QoL) assessments. FA median and MD peak height were extracted from DTI histogram analysis. Multiple linear regressions were performed, including normalized brain volume, WMH lesion load, and n° lacunes as covariates, to investigate the association of FA and MD with cognition and QoL. DTI metrics from all white matter were significantly associated with global cognition (standardized β =0.268), mental flexibility (β =0.306), verbal fluency (β =0.376), and Montreal Cognitive Assessment (MoCA) (β =0.273). The magnitudes of these associations were comparable with those previously reported from single-centre studies found in a systematic literature review. In this multicentre study, we confirmed associations between DTI parameters and cognition, which were similar in strength to those found in previous single-centre studies. The present study supports the use of DTI metrics as biomarkers of disease progression in multicentre studies. Portland Press Ltd. 2017-06-07 /pmc/articles/PMC5461938/ /pubmed/28487471 http://dx.doi.org/10.1042/CS20170146 Text en © 2017 The Author(s). http://creativecommons.org/licenses/by/4.0/This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Articles Croall, Iain D. Lohner, Valerie Moynihan, Barry Khan, Usman Hassan, Ahamad O’Brien, John T. Morris, Robin G. Tozer, Daniel J. Cambridge, Victoria C. Harkness, Kirsty Werring, David J. Blamire, Andrew M. Ford, Gary A. Barrick, Thomas R. Markus, Hugh S. Using DTI to assess white matter microstructure in cerebral small vessel disease (SVD) in multicentre studies |
title | Using DTI to assess white matter microstructure in cerebral small vessel disease (SVD) in multicentre studies |
title_full | Using DTI to assess white matter microstructure in cerebral small vessel disease (SVD) in multicentre studies |
title_fullStr | Using DTI to assess white matter microstructure in cerebral small vessel disease (SVD) in multicentre studies |
title_full_unstemmed | Using DTI to assess white matter microstructure in cerebral small vessel disease (SVD) in multicentre studies |
title_short | Using DTI to assess white matter microstructure in cerebral small vessel disease (SVD) in multicentre studies |
title_sort | using dti to assess white matter microstructure in cerebral small vessel disease (svd) in multicentre studies |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5461938/ https://www.ncbi.nlm.nih.gov/pubmed/28487471 http://dx.doi.org/10.1042/CS20170146 |
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