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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 †

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, t...

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Autores principales: Bernal, Jose, Valdés-Hernández, María, Escudero, Javier, Sakka, Eleni, Armitage, Paul A., Makin, Stephen, Touyz, Rhian M., Wardlaw, Joanna M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321077/
https://www.ncbi.nlm.nih.gov/pubmed/34460589
http://dx.doi.org/10.3390/jimaging6060043
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author Bernal, Jose
Valdés-Hernández, María
Escudero, Javier
Sakka, Eleni
Armitage, Paul A.
Makin, Stephen
Touyz, Rhian M.
Wardlaw, Joanna M.
author_facet Bernal, Jose
Valdés-Hernández, María
Escudero, Javier
Sakka, Eleni
Armitage, Paul A.
Makin, Stephen
Touyz, Rhian M.
Wardlaw, Joanna M.
author_sort Bernal, Jose
collection PubMed
description 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 ([Formula: see text] and [Formula: see text]), 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 [Formula: see text] in WMH ([Formula: see text]), but not with the other four methods. In WMH, we found higher [Formula: see text] was associated with younger age ([Formula: see text]) and fewer WMH ([Formula: see text]), whereas [Formula: see text] increased with younger age ([Formula: see text]) and WMH burden ([Formula: see text]). 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.
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spelling pubmed-83210772021-08-26 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, Jose Valdés-Hernández, María Escudero, Javier Sakka, Eleni Armitage, Paul A. Makin, Stephen Touyz, Rhian M. Wardlaw, Joanna M. J Imaging Article 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 ([Formula: see text] and [Formula: see text]), 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 [Formula: see text] in WMH ([Formula: see text]), but not with the other four methods. In WMH, we found higher [Formula: see text] was associated with younger age ([Formula: see text]) and fewer WMH ([Formula: see text]), whereas [Formula: see text] increased with younger age ([Formula: see text]) and WMH burden ([Formula: see text]). 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. MDPI 2020-06-05 /pmc/articles/PMC8321077/ /pubmed/34460589 http://dx.doi.org/10.3390/jimaging6060043 Text en © 2020 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Bernal, Jose
Valdés-Hernández, María
Escudero, Javier
Sakka, Eleni
Armitage, Paul A.
Makin, Stephen
Touyz, Rhian M.
Wardlaw, Joanna M.
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 †
title 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 †
title_full 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 †
title_fullStr 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 †
title_full_unstemmed 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 †
title_short 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 †
title_sort 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 †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321077/
https://www.ncbi.nlm.nih.gov/pubmed/34460589
http://dx.doi.org/10.3390/jimaging6060043
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