Examining the relationship between semiquantitative methods analysing concentration-time and enhancement-time curves from dynamic-contrast enhanced magnetic resonance imaging and cerebrovascular dysfunction in small vessel disease

Bernal, J., Valdés-Hernández, M., Escudero, J., Sakka, E., Armitage, P. A., Makin, S., Touyz, R. M. and Wardlaw, J. M. (2020) Examining the relationship between semiquantitative methods analysing concentration-time and enhancement-time curves from dynamic-contrast enhanced magnetic resonance imaging and cerebrovascular dysfunction in small vessel disease. Journal of Imaging, 6(6), 43. (doi: 10.3390/jimaging6060043)

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Abstract

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can be used to examine the distribution of an intravenous contrast agent within the brain. Computational methods have been devised to analyse the contrast uptake/washout over time as reflections of cerebrovascular dysfunction. However, there have been few direct comparisons of their relative strengths and weaknesses. In this paper, we compare five semiquantitative methods comprising the slope and area under the enhancement-time curve, the slope and area under the concentration-time curve ( SlopeCon and AUCCon ), and changes in the power spectrum over time. We studied them in cerebrospinal fluid, normal tissues, stroke lesions, and white matter hyperintensities (WMH) using DCE-MRI scans from a cohort of patients with small vessel disease (SVD) who presented mild stroke. The total SVD score was associated with AUCCon in WMH ( p<0.05 ), but not with the other four methods. In WMH, we found higher AUCCon was associated with younger age ( p<0.001 ) and fewer WMH ( p<0.001 ), whereas SlopeCon increased with younger age ( p>0.05 ) and WMH burden ( p>0.05 ). Our results show the potential of different measures extracted from concentration-time curves extracted from the same DCE examination to demonstrate cerebrovascular dysfunction better than those extracted from enhancement-time curves.

Item Type:Articles
Additional Information:This research was supported by: the Fondation Leducq Network for the Study of Perivascular Spaces in Small Vessel Disease (16 CVD 05); the Wellcome Trust (patient recruitment, scanning, primary study Ref No. WT088134/Z/09/A); the Row Fogo Charitable Trust Centre for Research into Aging and the Brain (MVH) (BRO-D.FID3668413); a British Heart Foundation Chair award (RMT) (CH/12/4/29762); European Union Horizon 2020, PHC-03-15, project No666881, ‘SVDs@Target’; MRC Doctoral Training Programme in Precision Medicine (JB); the UK Dementia Research Institute at the University of Edinburgh (MRC, Alz Soc, ARUK).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Makin, Dr Stephen and Touyz, Professor Rhian
Authors: Bernal, J., Valdés-Hernández, M., Escudero, J., Sakka, E., Armitage, P. A., Makin, S., Touyz, R. M., and Wardlaw, J. M.
College/School:College of Medical Veterinary and Life Sciences > Institute of Cardiovascular and Medical Sciences
Journal Name:Journal of Imaging
Publisher:MDPI
ISSN:2313-433X
ISSN (Online):2313-433X
Copyright Holders:Copyright © 2020 The Authors
First Published:First published in Journal of Imaging 6(6):43
Publisher Policy:Reproduced under a Creative Commons Licence

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