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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-8321077 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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