Analysis of aortic pressure fields from 4D flow MRI in healthy volunteers: Associations with age and left ventricular remodeling

Background Aging‐related arterial stiffness is associated with substantial changes in global and local arterial pressures. The subsequent early return of reflected pressure waves leads to an elevated left ventricular (LV) afterload and ultimately to a deleterious concentric LV remodeling. Purpose To...

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Veröffentlicht in:Journal of magnetic resonance imaging 2019-09, Vol.50 (3), p.982-993
Hauptverfasser: Bouaou, Kevin, Bargiotas, Ioannis, Dietenbeck, Thomas, Bollache, Emilie, Soulat, Gilles, Craiem, Damian, Houriez‐Gombaud‐Saintonge, Sophia, De Cesare, Alain, Gencer, Umit, Giron, Alain, Redheuil, Alban, Messas, Emmanuel, Lucor, Didier, Mousseaux, Elie, Kachenoura, Nadjia
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container_issue 3
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container_title Journal of magnetic resonance imaging
container_volume 50
creator Bouaou, Kevin
Bargiotas, Ioannis
Dietenbeck, Thomas
Bollache, Emilie
Soulat, Gilles
Craiem, Damian
Houriez‐Gombaud‐Saintonge, Sophia
De Cesare, Alain
Gencer, Umit
Giron, Alain
Redheuil, Alban
Messas, Emmanuel
Lucor, Didier
Mousseaux, Elie
Kachenoura, Nadjia
description Background Aging‐related arterial stiffness is associated with substantial changes in global and local arterial pressures. The subsequent early return of reflected pressure waves leads to an elevated left ventricular (LV) afterload and ultimately to a deleterious concentric LV remodeling. Purpose To compute aortic time‐resolved pressure fields of healthy subjects from 4D flow MRI and to define relevant pressure‐based markers while investigating their relationship with age, LV remodeling, as well as tonometric augmentation index (AIx) and pulse wave velocity (PWV). Study Type Retrospective. Population Forty‐seven healthy subjects (age: 49.5 ± 18 years, 24 women). Field Strength/Sequence 3 T/4D flow MRI. Assessment Spatiotemporal pressure fields were computed by integrating velocity‐derived pressure gradients using Navier–Stokes equations, while assuming zero pressure at the sino‐tubular junction. To quantify aortic pressure spatiotemporal variations, we defined the following markers: 1) volumetric aortic pressure propagation rates ΔP E1/ΔV and ΔP E2/ΔV, representing variations of early and late systolic relative pressure peaks along the aorta, respectively, according to the cumulated aortic volume; 2) ΔA PE1‐PE2 defined in four aortic regions as the absolute difference between early and late systolic relative pressure peaks amplitude. Statistical Tests Linear regression, Wilcoxon rank sum test, Bland–Altman analysis, and intraclass correlation coefficients (ICC). Results Spatiotemporal variations of aortic pressure peaks were moderately to highly reproducible (ICC ≥0.50) and decreased significantly with age, in terms of absolute magnitude: ΔP E1/ΔV (r = 0.70, P 
doi_str_mv 10.1002/jmri.26673
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The subsequent early return of reflected pressure waves leads to an elevated left ventricular (LV) afterload and ultimately to a deleterious concentric LV remodeling. Purpose To compute aortic time‐resolved pressure fields of healthy subjects from 4D flow MRI and to define relevant pressure‐based markers while investigating their relationship with age, LV remodeling, as well as tonometric augmentation index (AIx) and pulse wave velocity (PWV). Study Type Retrospective. Population Forty‐seven healthy subjects (age: 49.5 ± 18 years, 24 women). Field Strength/Sequence 3 T/4D flow MRI. Assessment Spatiotemporal pressure fields were computed by integrating velocity‐derived pressure gradients using Navier–Stokes equations, while assuming zero pressure at the sino‐tubular junction. To quantify aortic pressure spatiotemporal variations, we defined the following markers: 1) volumetric aortic pressure propagation rates ΔP E1/ΔV and ΔP E2/ΔV, representing variations of early and late systolic relative pressure peaks along the aorta, respectively, according to the cumulated aortic volume; 2) ΔA PE1‐PE2 defined in four aortic regions as the absolute difference between early and late systolic relative pressure peaks amplitude. Statistical Tests Linear regression, Wilcoxon rank sum test, Bland–Altman analysis, and intraclass correlation coefficients (ICC). Results Spatiotemporal variations of aortic pressure peaks were moderately to highly reproducible (ICC ≥0.50) and decreased significantly with age, in terms of absolute magnitude: ΔP E1/ΔV (r = 0.70, P &lt; 0.005), ΔP E2/ΔV (r = –0.45, P &lt; 0.005) and ΔA PE1‐PE2 (|r| &gt; 0.39, P &lt; 0.005). ΔP E1/ΔV was associated with LV remodeling (r = 0.53, P &lt; 0.001) and ascending aorta ΔA PE1‐PE2 was associated with AIx (r = –0.59, P &lt; 0.001). Both associations were independent of age and systolic blood pressures. Only weak associations were found between pressure indices and PWV (r ≤ 0.40). Data Conclusion 4D flow MRI relative aortic pressures were consistent with physiological knowledge as demonstrated by their significant volumetric and temporal variations with age and their independent association with LV remodeling and augmentation index. Level of Evidence 2 Technical Efficacy Stage 3 J. Magn. Reson. Imaging 2019;50:982–993.</description><identifier>ISSN: 1053-1807</identifier><identifier>EISSN: 1522-2586</identifier><identifier>DOI: 10.1002/jmri.26673</identifier><identifier>PMID: 30714258</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley &amp; Sons, Inc</publisher><subject>4D flow ; Age ; Aging ; Aorta ; aortic pressure waveform ; Augmentation ; Blood pressure ; Computational fluid dynamics ; Coronary vessels ; Correlation analysis ; Correlation coefficients ; Elastic waves ; Field strength ; Fluid mechanics ; Heart ; LV remodeling ; Magnetic resonance imaging ; Markers ; Mechanics ; MRI ; Physics ; Population (statistical) ; Population studies ; Pressure gradients ; Regression analysis ; Statistical analysis ; Statistical tests ; Stiffness ; Temporal variations ; Velocity ; Ventricle ; Wave velocity</subject><ispartof>Journal of magnetic resonance imaging, 2019-09, Vol.50 (3), p.982-993</ispartof><rights>2019 International Society for Magnetic Resonance in Medicine</rights><rights>2019 International Society for Magnetic Resonance in Medicine.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3913-fd8c7fd9434f707b9104ed9e9fedd3c82418059e93b87a19dc5c032086f620c63</citedby><cites>FETCH-LOGICAL-c3913-fd8c7fd9434f707b9104ed9e9fedd3c82418059e93b87a19dc5c032086f620c63</cites><orcidid>0000-0001-5643-0497 ; 0000-0002-1069-1293 ; 0000-0002-0480-4028 ; 0000-0003-4334-4586 ; 0000-0002-8076-1445 ; 0000-0002-9893-9694 ; 0000-0002-1002-9902</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjmri.26673$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjmri.26673$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,1427,27901,27902,45550,45551,46384,46808</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30714258$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-02384661$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Bouaou, Kevin</creatorcontrib><creatorcontrib>Bargiotas, Ioannis</creatorcontrib><creatorcontrib>Dietenbeck, Thomas</creatorcontrib><creatorcontrib>Bollache, Emilie</creatorcontrib><creatorcontrib>Soulat, Gilles</creatorcontrib><creatorcontrib>Craiem, Damian</creatorcontrib><creatorcontrib>Houriez‐Gombaud‐Saintonge, Sophia</creatorcontrib><creatorcontrib>De Cesare, Alain</creatorcontrib><creatorcontrib>Gencer, Umit</creatorcontrib><creatorcontrib>Giron, Alain</creatorcontrib><creatorcontrib>Redheuil, Alban</creatorcontrib><creatorcontrib>Messas, Emmanuel</creatorcontrib><creatorcontrib>Lucor, Didier</creatorcontrib><creatorcontrib>Mousseaux, Elie</creatorcontrib><creatorcontrib>Kachenoura, Nadjia</creatorcontrib><title>Analysis of aortic pressure fields from 4D flow MRI in healthy volunteers: Associations with age and left ventricular remodeling</title><title>Journal of magnetic resonance imaging</title><addtitle>J Magn Reson Imaging</addtitle><description>Background Aging‐related arterial stiffness is associated with substantial changes in global and local arterial pressures. The subsequent early return of reflected pressure waves leads to an elevated left ventricular (LV) afterload and ultimately to a deleterious concentric LV remodeling. Purpose To compute aortic time‐resolved pressure fields of healthy subjects from 4D flow MRI and to define relevant pressure‐based markers while investigating their relationship with age, LV remodeling, as well as tonometric augmentation index (AIx) and pulse wave velocity (PWV). Study Type Retrospective. Population Forty‐seven healthy subjects (age: 49.5 ± 18 years, 24 women). Field Strength/Sequence 3 T/4D flow MRI. Assessment Spatiotemporal pressure fields were computed by integrating velocity‐derived pressure gradients using Navier–Stokes equations, while assuming zero pressure at the sino‐tubular junction. To quantify aortic pressure spatiotemporal variations, we defined the following markers: 1) volumetric aortic pressure propagation rates ΔP E1/ΔV and ΔP E2/ΔV, representing variations of early and late systolic relative pressure peaks along the aorta, respectively, according to the cumulated aortic volume; 2) ΔA PE1‐PE2 defined in four aortic regions as the absolute difference between early and late systolic relative pressure peaks amplitude. Statistical Tests Linear regression, Wilcoxon rank sum test, Bland–Altman analysis, and intraclass correlation coefficients (ICC). Results Spatiotemporal variations of aortic pressure peaks were moderately to highly reproducible (ICC ≥0.50) and decreased significantly with age, in terms of absolute magnitude: ΔP E1/ΔV (r = 0.70, P &lt; 0.005), ΔP E2/ΔV (r = –0.45, P &lt; 0.005) and ΔA PE1‐PE2 (|r| &gt; 0.39, P &lt; 0.005). ΔP E1/ΔV was associated with LV remodeling (r = 0.53, P &lt; 0.001) and ascending aorta ΔA PE1‐PE2 was associated with AIx (r = –0.59, P &lt; 0.001). Both associations were independent of age and systolic blood pressures. Only weak associations were found between pressure indices and PWV (r ≤ 0.40). Data Conclusion 4D flow MRI relative aortic pressures were consistent with physiological knowledge as demonstrated by their significant volumetric and temporal variations with age and their independent association with LV remodeling and augmentation index. Level of Evidence 2 Technical Efficacy Stage 3 J. Magn. Reson. Imaging 2019;50:982–993.</description><subject>4D flow</subject><subject>Age</subject><subject>Aging</subject><subject>Aorta</subject><subject>aortic pressure waveform</subject><subject>Augmentation</subject><subject>Blood pressure</subject><subject>Computational fluid dynamics</subject><subject>Coronary vessels</subject><subject>Correlation analysis</subject><subject>Correlation coefficients</subject><subject>Elastic waves</subject><subject>Field strength</subject><subject>Fluid mechanics</subject><subject>Heart</subject><subject>LV remodeling</subject><subject>Magnetic resonance imaging</subject><subject>Markers</subject><subject>Mechanics</subject><subject>MRI</subject><subject>Physics</subject><subject>Population (statistical)</subject><subject>Population studies</subject><subject>Pressure gradients</subject><subject>Regression analysis</subject><subject>Statistical analysis</subject><subject>Statistical tests</subject><subject>Stiffness</subject><subject>Temporal variations</subject><subject>Velocity</subject><subject>Ventricle</subject><subject>Wave velocity</subject><issn>1053-1807</issn><issn>1522-2586</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp90U1v0zAYB_AIMbExuPABkCUugJTht9gJt2rANlSEhOBsufbj1ZUTFztp1RsfHXcZO-zAyS_66S8__lfVK4IvCMb0w6ZP_oIKIdmT6ow0lNa0acXTsscNq0mL5Wn1POcNxrjrePOsOmVYEl7QWfVnMehwyD6j6JCOafQGbRPkPCVAzkOwGbkUe8Q_IRfiHn37cYP8gNagw7g-oF0M0zACpPwRLXKOxuvRxyGjvR_XSN8C0oNFAdyIdjCMyZsp6IQS9NFC8MPti-rE6ZDh5f16Xv368vnn5XW9_H51c7lY1oZ1hNXOtkY623HGncRy1RHMwXbQObCWmZbyMmdTzmzVSk06axqDGcWtcIJiI9h59W7OXeugtsn3Oh1U1F5dL5bqeIcpa7kQZEeKfTvbbYq_J8ij6n02EIIeIE5ZUSI73mLCWKFvHtFNnFL506KoLJC1ghb1flYmxZwTuIcXEKyOHapjh-quw4Jf30dOqx7sA_1XWgFkBnsf4PCfKPW1tDWH_gXgfqZ6</recordid><startdate>201909</startdate><enddate>201909</enddate><creator>Bouaou, Kevin</creator><creator>Bargiotas, Ioannis</creator><creator>Dietenbeck, Thomas</creator><creator>Bollache, Emilie</creator><creator>Soulat, Gilles</creator><creator>Craiem, Damian</creator><creator>Houriez‐Gombaud‐Saintonge, Sophia</creator><creator>De Cesare, Alain</creator><creator>Gencer, Umit</creator><creator>Giron, Alain</creator><creator>Redheuil, Alban</creator><creator>Messas, Emmanuel</creator><creator>Lucor, Didier</creator><creator>Mousseaux, Elie</creator><creator>Kachenoura, Nadjia</creator><general>John Wiley &amp; Sons, Inc</general><general>Wiley Subscription Services, Inc</general><general>Wiley-Blackwell</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0001-5643-0497</orcidid><orcidid>https://orcid.org/0000-0002-1069-1293</orcidid><orcidid>https://orcid.org/0000-0002-0480-4028</orcidid><orcidid>https://orcid.org/0000-0003-4334-4586</orcidid><orcidid>https://orcid.org/0000-0002-8076-1445</orcidid><orcidid>https://orcid.org/0000-0002-9893-9694</orcidid><orcidid>https://orcid.org/0000-0002-1002-9902</orcidid></search><sort><creationdate>201909</creationdate><title>Analysis of aortic pressure fields from 4D flow MRI in healthy volunteers: Associations with age and left ventricular remodeling</title><author>Bouaou, Kevin ; Bargiotas, Ioannis ; Dietenbeck, Thomas ; Bollache, Emilie ; Soulat, Gilles ; Craiem, Damian ; Houriez‐Gombaud‐Saintonge, Sophia ; De Cesare, Alain ; Gencer, Umit ; Giron, Alain ; Redheuil, Alban ; Messas, Emmanuel ; Lucor, Didier ; Mousseaux, Elie ; Kachenoura, Nadjia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3913-fd8c7fd9434f707b9104ed9e9fedd3c82418059e93b87a19dc5c032086f620c63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>4D flow</topic><topic>Age</topic><topic>Aging</topic><topic>Aorta</topic><topic>aortic pressure waveform</topic><topic>Augmentation</topic><topic>Blood pressure</topic><topic>Computational fluid dynamics</topic><topic>Coronary vessels</topic><topic>Correlation analysis</topic><topic>Correlation coefficients</topic><topic>Elastic waves</topic><topic>Field strength</topic><topic>Fluid mechanics</topic><topic>Heart</topic><topic>LV remodeling</topic><topic>Magnetic resonance imaging</topic><topic>Markers</topic><topic>Mechanics</topic><topic>MRI</topic><topic>Physics</topic><topic>Population (statistical)</topic><topic>Population studies</topic><topic>Pressure gradients</topic><topic>Regression analysis</topic><topic>Statistical analysis</topic><topic>Statistical tests</topic><topic>Stiffness</topic><topic>Temporal variations</topic><topic>Velocity</topic><topic>Ventricle</topic><topic>Wave velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bouaou, Kevin</creatorcontrib><creatorcontrib>Bargiotas, Ioannis</creatorcontrib><creatorcontrib>Dietenbeck, Thomas</creatorcontrib><creatorcontrib>Bollache, Emilie</creatorcontrib><creatorcontrib>Soulat, Gilles</creatorcontrib><creatorcontrib>Craiem, Damian</creatorcontrib><creatorcontrib>Houriez‐Gombaud‐Saintonge, Sophia</creatorcontrib><creatorcontrib>De Cesare, Alain</creatorcontrib><creatorcontrib>Gencer, Umit</creatorcontrib><creatorcontrib>Giron, Alain</creatorcontrib><creatorcontrib>Redheuil, Alban</creatorcontrib><creatorcontrib>Messas, Emmanuel</creatorcontrib><creatorcontrib>Lucor, Didier</creatorcontrib><creatorcontrib>Mousseaux, Elie</creatorcontrib><creatorcontrib>Kachenoura, Nadjia</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Journal of magnetic resonance imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bouaou, Kevin</au><au>Bargiotas, Ioannis</au><au>Dietenbeck, Thomas</au><au>Bollache, Emilie</au><au>Soulat, Gilles</au><au>Craiem, Damian</au><au>Houriez‐Gombaud‐Saintonge, Sophia</au><au>De Cesare, Alain</au><au>Gencer, Umit</au><au>Giron, Alain</au><au>Redheuil, Alban</au><au>Messas, Emmanuel</au><au>Lucor, Didier</au><au>Mousseaux, Elie</au><au>Kachenoura, Nadjia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of aortic pressure fields from 4D flow MRI in healthy volunteers: Associations with age and left ventricular remodeling</atitle><jtitle>Journal of magnetic resonance imaging</jtitle><addtitle>J Magn Reson Imaging</addtitle><date>2019-09</date><risdate>2019</risdate><volume>50</volume><issue>3</issue><spage>982</spage><epage>993</epage><pages>982-993</pages><issn>1053-1807</issn><eissn>1522-2586</eissn><abstract>Background Aging‐related arterial stiffness is associated with substantial changes in global and local arterial pressures. The subsequent early return of reflected pressure waves leads to an elevated left ventricular (LV) afterload and ultimately to a deleterious concentric LV remodeling. Purpose To compute aortic time‐resolved pressure fields of healthy subjects from 4D flow MRI and to define relevant pressure‐based markers while investigating their relationship with age, LV remodeling, as well as tonometric augmentation index (AIx) and pulse wave velocity (PWV). Study Type Retrospective. Population Forty‐seven healthy subjects (age: 49.5 ± 18 years, 24 women). Field Strength/Sequence 3 T/4D flow MRI. Assessment Spatiotemporal pressure fields were computed by integrating velocity‐derived pressure gradients using Navier–Stokes equations, while assuming zero pressure at the sino‐tubular junction. To quantify aortic pressure spatiotemporal variations, we defined the following markers: 1) volumetric aortic pressure propagation rates ΔP E1/ΔV and ΔP E2/ΔV, representing variations of early and late systolic relative pressure peaks along the aorta, respectively, according to the cumulated aortic volume; 2) ΔA PE1‐PE2 defined in four aortic regions as the absolute difference between early and late systolic relative pressure peaks amplitude. Statistical Tests Linear regression, Wilcoxon rank sum test, Bland–Altman analysis, and intraclass correlation coefficients (ICC). Results Spatiotemporal variations of aortic pressure peaks were moderately to highly reproducible (ICC ≥0.50) and decreased significantly with age, in terms of absolute magnitude: ΔP E1/ΔV (r = 0.70, P &lt; 0.005), ΔP E2/ΔV (r = –0.45, P &lt; 0.005) and ΔA PE1‐PE2 (|r| &gt; 0.39, P &lt; 0.005). ΔP E1/ΔV was associated with LV remodeling (r = 0.53, P &lt; 0.001) and ascending aorta ΔA PE1‐PE2 was associated with AIx (r = –0.59, P &lt; 0.001). Both associations were independent of age and systolic blood pressures. Only weak associations were found between pressure indices and PWV (r ≤ 0.40). Data Conclusion 4D flow MRI relative aortic pressures were consistent with physiological knowledge as demonstrated by their significant volumetric and temporal variations with age and their independent association with LV remodeling and augmentation index. Level of Evidence 2 Technical Efficacy Stage 3 J. Magn. Reson. 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subjects 4D flow
Age
Aging
Aorta
aortic pressure waveform
Augmentation
Blood pressure
Computational fluid dynamics
Coronary vessels
Correlation analysis
Correlation coefficients
Elastic waves
Field strength
Fluid mechanics
Heart
LV remodeling
Magnetic resonance imaging
Markers
Mechanics
MRI
Physics
Population (statistical)
Population studies
Pressure gradients
Regression analysis
Statistical analysis
Statistical tests
Stiffness
Temporal variations
Velocity
Ventricle
Wave velocity
title Analysis of aortic pressure fields from 4D flow MRI in healthy volunteers: Associations with age and left ventricular remodeling
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