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Determination of aortic stiffness using 4D flow cardiovascular magnetic resonance - a population-based study
BACKGROUND: Increased aortic stiffness is an independent predictor of cardiovascular disease. Optimal measurement is highly beneficial for the detection of atherosclerosis and the management of patients at risk. Thus, it was our purpose to selectively measure aortic stiffness using a novel imaging m...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6011486/ https://www.ncbi.nlm.nih.gov/pubmed/29925388 http://dx.doi.org/10.1186/s12968-018-0461-z |
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author | Harloff, Andreas Mirzaee, Hanieh Lodemann, Thomas Hagenlocher, Paul Wehrum, Thomas Stuplich, Judith Hennemuth, Anja Hennig, Jürgen Grundmann, Sebastian Vach, Werner |
author_facet | Harloff, Andreas Mirzaee, Hanieh Lodemann, Thomas Hagenlocher, Paul Wehrum, Thomas Stuplich, Judith Hennemuth, Anja Hennig, Jürgen Grundmann, Sebastian Vach, Werner |
author_sort | Harloff, Andreas |
collection | PubMed |
description | BACKGROUND: Increased aortic stiffness is an independent predictor of cardiovascular disease. Optimal measurement is highly beneficial for the detection of atherosclerosis and the management of patients at risk. Thus, it was our purpose to selectively measure aortic stiffness using a novel imaging method and to provide reference values from a population-based study. METHODS: One hundred twenty six inhabitants of Freiburg, Germany, between 20 and 80 years prospectively underwent 3 Tesla cardiovascular magnetic resonance (CMR) of the thoracic aorta. 4D flow CMR (spatial/temporal resolution 2mm(3)/20ms) was executed to calculate aortic pulse wave velocity (PWV) in m/s using dedicated software. In addition, we calculated distensibility coefficients (DC) using 2D CINE CMR imaging of the ascending (AAo) and descending aorta (DAo). Segmental aortic diameter and thickness of aortic plaques were determined by 3D T1 weighted CMR (spatial resolution 1mm(3)). RESULTS: PWV increased from 4.93 ± 0.54 m/s in 20–30 year-old to 8.06 ± 1.03 m/s in 70–80 year-old subjects. PWV was significantly lower in women compared to men (p < 0.0001). Increased blood pressure (systolic r = 0.36, p < 0.0001; diastolic r = 0.33, p = 0.0001; mean arterial pressure r = 0.37, p < 0.0001) correlated with PWV after adjustment for age and gender. Finally, PWV increased with increasing diameter of the aorta (ascending aorta r = 0.20, p = 0.026; aortic arch r = 0.24, p = 0.009; descending aorta r = 0.26, p = 0.004). Correlation of PWV and DC of the AAo and DAo or the mean of both was high (r = 0.69, r = 0.68, r = 0.73; p < 0.001). CONCLUSIONS: 4D flow CMR was successfully applied to calculate aortic PWV and thus aortic stiffness. Findings showed a high correlation with distensibility coefficients representing local compliance of the aorta. Our novel method and reference data for PWV may provide a reliable biomarker for the identification of patients with underlying cardiovascular disease and optimal guidance of future treatment in studies or clinical routine. |
format | Online Article Text |
id | pubmed-6011486 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-60114862018-07-05 Determination of aortic stiffness using 4D flow cardiovascular magnetic resonance - a population-based study Harloff, Andreas Mirzaee, Hanieh Lodemann, Thomas Hagenlocher, Paul Wehrum, Thomas Stuplich, Judith Hennemuth, Anja Hennig, Jürgen Grundmann, Sebastian Vach, Werner J Cardiovasc Magn Reson Research BACKGROUND: Increased aortic stiffness is an independent predictor of cardiovascular disease. Optimal measurement is highly beneficial for the detection of atherosclerosis and the management of patients at risk. Thus, it was our purpose to selectively measure aortic stiffness using a novel imaging method and to provide reference values from a population-based study. METHODS: One hundred twenty six inhabitants of Freiburg, Germany, between 20 and 80 years prospectively underwent 3 Tesla cardiovascular magnetic resonance (CMR) of the thoracic aorta. 4D flow CMR (spatial/temporal resolution 2mm(3)/20ms) was executed to calculate aortic pulse wave velocity (PWV) in m/s using dedicated software. In addition, we calculated distensibility coefficients (DC) using 2D CINE CMR imaging of the ascending (AAo) and descending aorta (DAo). Segmental aortic diameter and thickness of aortic plaques were determined by 3D T1 weighted CMR (spatial resolution 1mm(3)). RESULTS: PWV increased from 4.93 ± 0.54 m/s in 20–30 year-old to 8.06 ± 1.03 m/s in 70–80 year-old subjects. PWV was significantly lower in women compared to men (p < 0.0001). Increased blood pressure (systolic r = 0.36, p < 0.0001; diastolic r = 0.33, p = 0.0001; mean arterial pressure r = 0.37, p < 0.0001) correlated with PWV after adjustment for age and gender. Finally, PWV increased with increasing diameter of the aorta (ascending aorta r = 0.20, p = 0.026; aortic arch r = 0.24, p = 0.009; descending aorta r = 0.26, p = 0.004). Correlation of PWV and DC of the AAo and DAo or the mean of both was high (r = 0.69, r = 0.68, r = 0.73; p < 0.001). CONCLUSIONS: 4D flow CMR was successfully applied to calculate aortic PWV and thus aortic stiffness. Findings showed a high correlation with distensibility coefficients representing local compliance of the aorta. Our novel method and reference data for PWV may provide a reliable biomarker for the identification of patients with underlying cardiovascular disease and optimal guidance of future treatment in studies or clinical routine. BioMed Central 2018-06-21 /pmc/articles/PMC6011486/ /pubmed/29925388 http://dx.doi.org/10.1186/s12968-018-0461-z Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Harloff, Andreas Mirzaee, Hanieh Lodemann, Thomas Hagenlocher, Paul Wehrum, Thomas Stuplich, Judith Hennemuth, Anja Hennig, Jürgen Grundmann, Sebastian Vach, Werner Determination of aortic stiffness using 4D flow cardiovascular magnetic resonance - a population-based study |
title | Determination of aortic stiffness using 4D flow cardiovascular magnetic resonance - a population-based study |
title_full | Determination of aortic stiffness using 4D flow cardiovascular magnetic resonance - a population-based study |
title_fullStr | Determination of aortic stiffness using 4D flow cardiovascular magnetic resonance - a population-based study |
title_full_unstemmed | Determination of aortic stiffness using 4D flow cardiovascular magnetic resonance - a population-based study |
title_short | Determination of aortic stiffness using 4D flow cardiovascular magnetic resonance - a population-based study |
title_sort | determination of aortic stiffness using 4d flow cardiovascular magnetic resonance - a population-based study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6011486/ https://www.ncbi.nlm.nih.gov/pubmed/29925388 http://dx.doi.org/10.1186/s12968-018-0461-z |
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