SORA

Advancing, promoting and sharing knowledge of health through excellence in teaching, clinical practice and research into the prevention and treatment of illness

Using DTI to assess white matter microstructure in cerebral small vessel disease (SVD) in multicentre studies.

Croall, ID; Lohner, V; Moynihan, B; Khan, U; Hassan, A; O'Brien, JT; Morris, RG; Tozer, DJ; Cambridge, VC; Harkness, K; et al. Croall, ID; Lohner, V; Moynihan, B; Khan, U; Hassan, A; O'Brien, JT; Morris, RG; Tozer, DJ; Cambridge, VC; Harkness, K; Werring, DJ; Blamire, AM; Ford, GA; Barrick, TR; Markus, HS (2017) Using DTI to assess white matter microstructure in cerebral small vessel disease (SVD) in multicentre studies. Clin Sci (Lond), 131 (12). pp. 1361-1373. ISSN 1470-8736 https://doi.org/10.1042/CS20170146
SGUL Authors: Barrick, Thomas Richard Moynihan, Barry

[img]
Preview
PDF Published Version
Available under License Creative Commons Attribution.

Download (729kB) | Preview
[img]
Preview
PDF Accepted Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview

Abstract

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.

Item Type: Article
Additional Information: © 2017 The Author(s). This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution Licence 4.0 (CC BY).
Keywords: biomarkers, cerebral small vessel disease, clinical trials, cognition, diffusion tensor imaging, biomarkers, cerebral small vessel disease, clinical trials, cognition, diffusion tensor imaging, Cardiovascular System & Hematology, 11 Medical And Health Sciences
SGUL Research Institute / Research Centre: Academic Structure > Molecular and Clinical Sciences Research Institute (MCS)
Academic Structure > Molecular and Clinical Sciences Research Institute (MCS) > Neuroscience (INCCNS)
Journal or Publication Title: Clin Sci (Lond)
ISSN: 1470-8736
Language: eng
Dates:
DateEvent
7 June 2017Published
9 May 2017Published Online
9 May 2017Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
2010/01British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
2010/01Stroke Associationhttp://dx.doi.org/10.13039/501100000364
PubMed ID: 28487471
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/108860
Publisher's version: https://doi.org/10.1042/CS20170146

Actions (login required)

Edit Item Edit Item