Aging Impact on Thoracic Aorta 3D Morphometry in Intermediate-Risk Subjects: Looking Beyond Coronary Arteries with Non-Contrast Cardiac CT
An increasing number of intermediate risk asymptomatic subjects benefit from measures of atherosclerosis burden like coronary artery calcification studies with non-contrast heart computed tomography (CT). However, additional information can be derived from these studies, looking beyond the coronary...
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Veröffentlicht in: | Annals of biomedical engineering 2012-05, Vol.40 (5), p.1028-1038 |
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creator | Craiem, Damian Chironi, Gilles Redheuil, Alban Casciaro, Mariano Mousseaux, Elie Simon, Alain Armentano, Ricardo L. |
description | An increasing number of intermediate risk asymptomatic subjects benefit from measures of atherosclerosis burden like coronary artery calcification studies with non-contrast heart computed tomography (CT). However, additional information can be derived from these studies, looking beyond the coronary arteries and without exposing the patients to further radiation. We report a semi-automatic method that objectively assesses ascending, arch and descending aorta dimension and shape from non-contrast CT datasets to investigate the effect of aging on thoracic aorta geometry. First, the segmentation process identifies the vessel centerline coordinates following a toroidal path for the curvilinear portion and axial planes for descending aorta. Then, reconstructing oblique planes orthogonal to the centerline direction, it iteratively fits circles inside the vessel cross-section. Finally, regional thoracic aorta dimensions (diameter, volume and length) and shape (vessel curvature and tortuosity) are calculated. A population of 200 normotensive men was recruited. Length, mean diameter and volume differed by 1.2 cm, 0.13 cm and 21 cm
3
per decade of life, respectively. Aortic shape uncoiled with aging, reducing its tortuosity and increasing its radius of curvature. The arch was the most affected segment. In conclusion, non-contrast cardiac CT imaging can be successfully employed to assess thoracic aorta 3D morphometry. |
doi_str_mv | 10.1007/s10439-011-0487-y |
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3
per decade of life, respectively. Aortic shape uncoiled with aging, reducing its tortuosity and increasing its radius of curvature. The arch was the most affected segment. In conclusion, non-contrast cardiac CT imaging can be successfully employed to assess thoracic aorta 3D morphometry.</description><identifier>ISSN: 0090-6964</identifier><identifier>EISSN: 1573-9686</identifier><identifier>DOI: 10.1007/s10439-011-0487-y</identifier><identifier>PMID: 22173558</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Aging ; Aging - pathology ; Aorta, Thoracic - diagnostic imaging ; Biochemistry ; Biological and Medical Physics ; Biomedical and Life Sciences ; Biomedical Engineering and Bioengineering ; Biomedicine ; Biophysics ; Classical Mechanics ; Computed tomography ; Coronary Angiography ; Coronary Vessels ; Humans ; Imaging, Three-Dimensional ; Male ; Tomography, X-Ray Computed</subject><ispartof>Annals of biomedical engineering, 2012-05, Vol.40 (5), p.1028-1038</ispartof><rights>Biomedical Engineering Society 2011</rights><rights>Biomedical Engineering Society 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c405t-bc60578376a68052c651671f4a778dd238c3934b4f6bb4798eb17c2fac047daf3</citedby><cites>FETCH-LOGICAL-c405t-bc60578376a68052c651671f4a778dd238c3934b4f6bb4798eb17c2fac047daf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10439-011-0487-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10439-011-0487-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27907,27908,41471,42540,51302</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22173558$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Craiem, Damian</creatorcontrib><creatorcontrib>Chironi, Gilles</creatorcontrib><creatorcontrib>Redheuil, Alban</creatorcontrib><creatorcontrib>Casciaro, Mariano</creatorcontrib><creatorcontrib>Mousseaux, Elie</creatorcontrib><creatorcontrib>Simon, Alain</creatorcontrib><creatorcontrib>Armentano, Ricardo L.</creatorcontrib><title>Aging Impact on Thoracic Aorta 3D Morphometry in Intermediate-Risk Subjects: Looking Beyond Coronary Arteries with Non-Contrast Cardiac CT</title><title>Annals of biomedical engineering</title><addtitle>Ann Biomed Eng</addtitle><addtitle>Ann Biomed Eng</addtitle><description>An increasing number of intermediate risk asymptomatic subjects benefit from measures of atherosclerosis burden like coronary artery calcification studies with non-contrast heart computed tomography (CT). However, additional information can be derived from these studies, looking beyond the coronary arteries and without exposing the patients to further radiation. We report a semi-automatic method that objectively assesses ascending, arch and descending aorta dimension and shape from non-contrast CT datasets to investigate the effect of aging on thoracic aorta geometry. First, the segmentation process identifies the vessel centerline coordinates following a toroidal path for the curvilinear portion and axial planes for descending aorta. Then, reconstructing oblique planes orthogonal to the centerline direction, it iteratively fits circles inside the vessel cross-section. Finally, regional thoracic aorta dimensions (diameter, volume and length) and shape (vessel curvature and tortuosity) are calculated. A population of 200 normotensive men was recruited. Length, mean diameter and volume differed by 1.2 cm, 0.13 cm and 21 cm
3
per decade of life, respectively. Aortic shape uncoiled with aging, reducing its tortuosity and increasing its radius of curvature. The arch was the most affected segment. In conclusion, non-contrast cardiac CT imaging can be successfully employed to assess thoracic aorta 3D morphometry.</description><subject>Aging</subject><subject>Aging - pathology</subject><subject>Aorta, Thoracic - diagnostic imaging</subject><subject>Biochemistry</subject><subject>Biological and Medical Physics</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Biomedicine</subject><subject>Biophysics</subject><subject>Classical Mechanics</subject><subject>Computed tomography</subject><subject>Coronary Angiography</subject><subject>Coronary Vessels</subject><subject>Humans</subject><subject>Imaging, Three-Dimensional</subject><subject>Male</subject><subject>Tomography, X-Ray Computed</subject><issn>0090-6964</issn><issn>1573-9686</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkctuEzEARS1ERUPhA9ggS2zYGOzxc9iF4dFIoZVouh55PJ7EacYOtkcov8BX4ygtQpWQWHnhc4_lewF4RfA7grF8nwhmtEaYEISZkujwBMwIlxTVQomnYIZxjZGoBTsHz1Pa4gIqyp-B86oiknKuZuDXfO38Gi7GvTYZBg9XmxC1cQbOQ8wa0k_wW4j7TRhtjgfoPFz4bONoe6ezRd9duoM3U7e1JqcPcBnC3VH30R6C72ETYvC6xOaxZJxN8KfLG3gVPGqCz1GnDBsdi8rAZvUCnA16l-zL-_MC3H75vGou0fL666KZL5FhmGfUGYG5VFQKLRTmlRGcCEkGpqVUfV9RZWhNWccG0XVM1sp2RJpq0AYz2euBXoC3J-8-hh-TTbkdXTJ2t9Pehim1BJOSKmbxHyiuOS-9soK-eYRuwxR9-chRWEmJOakKRU6UiSGlaId2H91YKirQ0Sbb06Ztmao9btoeSub1vXnqSu9_Eg8jFqA6Aalc-bWNfz_9L-tvbkGrxA</recordid><startdate>20120501</startdate><enddate>20120501</enddate><creator>Craiem, Damian</creator><creator>Chironi, Gilles</creator><creator>Redheuil, Alban</creator><creator>Casciaro, Mariano</creator><creator>Mousseaux, Elie</creator><creator>Simon, Alain</creator><creator>Armentano, Ricardo L.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H8G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>7X8</scope></search><sort><creationdate>20120501</creationdate><title>Aging Impact on Thoracic Aorta 3D Morphometry in Intermediate-Risk Subjects: Looking Beyond Coronary Arteries with Non-Contrast Cardiac CT</title><author>Craiem, Damian ; Chironi, Gilles ; Redheuil, Alban ; Casciaro, Mariano ; Mousseaux, Elie ; Simon, Alain ; Armentano, Ricardo L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c405t-bc60578376a68052c651671f4a778dd238c3934b4f6bb4798eb17c2fac047daf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Aging</topic><topic>Aging - 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Academic</collection><jtitle>Annals of biomedical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Craiem, Damian</au><au>Chironi, Gilles</au><au>Redheuil, Alban</au><au>Casciaro, Mariano</au><au>Mousseaux, Elie</au><au>Simon, Alain</au><au>Armentano, Ricardo L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Aging Impact on Thoracic Aorta 3D Morphometry in Intermediate-Risk Subjects: Looking Beyond Coronary Arteries with Non-Contrast Cardiac CT</atitle><jtitle>Annals of biomedical engineering</jtitle><stitle>Ann Biomed Eng</stitle><addtitle>Ann Biomed Eng</addtitle><date>2012-05-01</date><risdate>2012</risdate><volume>40</volume><issue>5</issue><spage>1028</spage><epage>1038</epage><pages>1028-1038</pages><issn>0090-6964</issn><eissn>1573-9686</eissn><abstract>An increasing number of intermediate risk asymptomatic subjects benefit from measures of atherosclerosis burden like coronary artery calcification studies with non-contrast heart computed tomography (CT). However, additional information can be derived from these studies, looking beyond the coronary arteries and without exposing the patients to further radiation. We report a semi-automatic method that objectively assesses ascending, arch and descending aorta dimension and shape from non-contrast CT datasets to investigate the effect of aging on thoracic aorta geometry. First, the segmentation process identifies the vessel centerline coordinates following a toroidal path for the curvilinear portion and axial planes for descending aorta. Then, reconstructing oblique planes orthogonal to the centerline direction, it iteratively fits circles inside the vessel cross-section. Finally, regional thoracic aorta dimensions (diameter, volume and length) and shape (vessel curvature and tortuosity) are calculated. A population of 200 normotensive men was recruited. Length, mean diameter and volume differed by 1.2 cm, 0.13 cm and 21 cm
3
per decade of life, respectively. Aortic shape uncoiled with aging, reducing its tortuosity and increasing its radius of curvature. The arch was the most affected segment. In conclusion, non-contrast cardiac CT imaging can be successfully employed to assess thoracic aorta 3D morphometry.</abstract><cop>Boston</cop><pub>Springer US</pub><pmid>22173558</pmid><doi>10.1007/s10439-011-0487-y</doi><tpages>11</tpages></addata></record> |
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subjects | Aging Aging - pathology Aorta, Thoracic - diagnostic imaging Biochemistry Biological and Medical Physics Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Biophysics Classical Mechanics Computed tomography Coronary Angiography Coronary Vessels Humans Imaging, Three-Dimensional Male Tomography, X-Ray Computed |
title | Aging Impact on Thoracic Aorta 3D Morphometry in Intermediate-Risk Subjects: Looking Beyond Coronary Arteries with Non-Contrast Cardiac CT |
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