Epicardial adipose tissue thickness predicts descending thoracic aorta atherosclerosis shown by multidetector computed tomography
Human epicardial adipose tissue (EAT) is a type of visceral adipose tissue functioning as an endocrine organ by secreting hormones and adipocytokines which have an important role in the atherosclerotic process. In this study, we aimed to assess the relationship between EAT measured by dual source mu...
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Veröffentlicht in: | International Journal of Cardiovascular Imaging 2012-04, Vol.28 (4), p.911-919 |
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creator | Yorgun, Hikmet Canpolat, Uğur Hazırolan, Tuncay Sunman, Hamza Ateş, Ahmet Hakan Gürses, Kadri Murat Ertuğrul, Özgür Kaya, Ergün Barış Aytemir, Kudret Tokgözoğlu, Lale Kabakçı, Giray Oto, Ali |
description | Human epicardial adipose tissue (EAT) is a type of visceral adipose tissue functioning as an endocrine organ by secreting hormones and adipocytokines which have an important role in the atherosclerotic process. In this study, we aimed to assess the relationship between EAT measured by dual source multidetector computed tomography (MDCT) and descending thoracic aorta (DTA) atherosclerosis. A total of 148 patients who underwent MDCT for the evaluation of coronary artery disease were enrolled in this study. Thickness of the EAT was measured on contrast enhanced multiplanar reformat images with parasternal short axis view at basal, mid-ventricular and apical levels and horizontal long axis view. The atherosclerotic plaque was scored from 0 to 4 points by the percentage of the luminal surface at the cross sectional area of proximal, mid and distal segments of descending aorta. Among the study population, 84 (56.8%) were male and age was (mean ± standart deviation) 56.9 ± 11.7 years. In patients with critical coronary atherosclerosis, DTA atherosclerosis had a significant relationship with EAT (
P
= 0.012). Multivariate linear regression analysis revealed that in addition to critical coronary stenosis, age and total epicardial fat thickness were associated with aortic atherosclerosis (β value, 0.058 and 0.035; t value, 4.74 and 2.28, respectively;
P
|
doi_str_mv | 10.1007/s10554-011-9899-x |
format | Article |
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P
= 0.012). Multivariate linear regression analysis revealed that in addition to critical coronary stenosis, age and total epicardial fat thickness were associated with aortic atherosclerosis (β value, 0.058 and 0.035; t value, 4.74 and 2.28, respectively;
P
< 0.05) after adjustment for traditional cardiovascular risk factors. In this study we demonstrated that atherosclerotic plaque burden of DTA was associated with the amount of EAT thickness among patients with suspected CAD shown by MDCT. Further large scale prospective studies are needed to address the interaction of EAT as well as the mediators of inflammation and adipocytokines with the development of atherosclerotic plaques in aorta and effects on cardiovascular outcomes.</description><identifier>ISSN: 1569-5794</identifier><identifier>EISSN: 1573-0743</identifier><identifier>EISSN: 1875-8312</identifier><identifier>DOI: 10.1007/s10554-011-9899-x</identifier><identifier>PMID: 21637979</identifier><identifier>CODEN: IJCIBI</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Adipose tissue ; Age ; Aged ; Aorta ; Aorta, Thoracic - diagnostic imaging ; Aorta, Thoracic - pathology ; Aortic Diseases - diagnostic imaging ; Aortic Diseases - pathology ; Arteriosclerosis ; Atherosclerosis - diagnostic imaging ; Atherosclerosis - pathology ; Body fat ; Cardiac Imaging ; Cardiology ; Cardiovascular diseases ; Computed tomography ; Coronary Angiography - methods ; Coronary Stenosis - diagnostic imaging ; Coronary Stenosis - pathology ; Female ; Heart diseases ; Hormones ; Humans ; Imaging ; Inflammation ; Intra-Abdominal Fat - diagnostic imaging ; Linear Models ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Multidetector Computed Tomography ; Multivariate Analysis ; Original Paper ; Pericardium - diagnostic imaging ; Plaque, Atherosclerotic ; Population studies ; Predictive Value of Tests ; Radiology ; Regression analysis ; Retrospective Studies ; Risk Assessment ; Risk Factors ; Severity of Illness Index ; Stenosis ; Thorax ; Turkey</subject><ispartof>International Journal of Cardiovascular Imaging, 2012-04, Vol.28 (4), p.911-919</ispartof><rights>Springer Science+Business Media, B.V. 2011</rights><rights>Springer Science+Business Media, B.V. 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c405t-628a422531f0f82e7560d24d35a0966449323a02b1593cdb5a4b5402af593bb43</citedby><cites>FETCH-LOGICAL-c405t-628a422531f0f82e7560d24d35a0966449323a02b1593cdb5a4b5402af593bb43</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/s10554-011-9899-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10554-011-9899-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21637979$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yorgun, Hikmet</creatorcontrib><creatorcontrib>Canpolat, Uğur</creatorcontrib><creatorcontrib>Hazırolan, Tuncay</creatorcontrib><creatorcontrib>Sunman, Hamza</creatorcontrib><creatorcontrib>Ateş, Ahmet Hakan</creatorcontrib><creatorcontrib>Gürses, Kadri Murat</creatorcontrib><creatorcontrib>Ertuğrul, Özgür</creatorcontrib><creatorcontrib>Kaya, Ergün Barış</creatorcontrib><creatorcontrib>Aytemir, Kudret</creatorcontrib><creatorcontrib>Tokgözoğlu, Lale</creatorcontrib><creatorcontrib>Kabakçı, Giray</creatorcontrib><creatorcontrib>Oto, Ali</creatorcontrib><title>Epicardial adipose tissue thickness predicts descending thoracic aorta atherosclerosis shown by multidetector computed tomography</title><title>International Journal of Cardiovascular Imaging</title><addtitle>Int J Cardiovasc Imaging</addtitle><addtitle>Int J Cardiovasc Imaging</addtitle><description>Human epicardial adipose tissue (EAT) is a type of visceral adipose tissue functioning as an endocrine organ by secreting hormones and adipocytokines which have an important role in the atherosclerotic process. In this study, we aimed to assess the relationship between EAT measured by dual source multidetector computed tomography (MDCT) and descending thoracic aorta (DTA) atherosclerosis. A total of 148 patients who underwent MDCT for the evaluation of coronary artery disease were enrolled in this study. Thickness of the EAT was measured on contrast enhanced multiplanar reformat images with parasternal short axis view at basal, mid-ventricular and apical levels and horizontal long axis view. The atherosclerotic plaque was scored from 0 to 4 points by the percentage of the luminal surface at the cross sectional area of proximal, mid and distal segments of descending aorta. Among the study population, 84 (56.8%) were male and age was (mean ± standart deviation) 56.9 ± 11.7 years. In patients with critical coronary atherosclerosis, DTA atherosclerosis had a significant relationship with EAT (
P
= 0.012). Multivariate linear regression analysis revealed that in addition to critical coronary stenosis, age and total epicardial fat thickness were associated with aortic atherosclerosis (β value, 0.058 and 0.035; t value, 4.74 and 2.28, respectively;
P
< 0.05) after adjustment for traditional cardiovascular risk factors. In this study we demonstrated that atherosclerotic plaque burden of DTA was associated with the amount of EAT thickness among patients with suspected CAD shown by MDCT. Further large scale prospective studies are needed to address the interaction of EAT as well as the mediators of inflammation and adipocytokines with the development of atherosclerotic plaques in aorta and effects on cardiovascular outcomes.</description><subject>Adipose tissue</subject><subject>Age</subject><subject>Aged</subject><subject>Aorta</subject><subject>Aorta, Thoracic - diagnostic imaging</subject><subject>Aorta, Thoracic - pathology</subject><subject>Aortic Diseases - diagnostic imaging</subject><subject>Aortic Diseases - pathology</subject><subject>Arteriosclerosis</subject><subject>Atherosclerosis - diagnostic imaging</subject><subject>Atherosclerosis - pathology</subject><subject>Body fat</subject><subject>Cardiac Imaging</subject><subject>Cardiology</subject><subject>Cardiovascular diseases</subject><subject>Computed tomography</subject><subject>Coronary Angiography - methods</subject><subject>Coronary Stenosis - diagnostic imaging</subject><subject>Coronary Stenosis - pathology</subject><subject>Female</subject><subject>Heart diseases</subject><subject>Hormones</subject><subject>Humans</subject><subject>Imaging</subject><subject>Inflammation</subject><subject>Intra-Abdominal Fat - diagnostic imaging</subject><subject>Linear Models</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Multidetector Computed Tomography</subject><subject>Multivariate Analysis</subject><subject>Original Paper</subject><subject>Pericardium - diagnostic imaging</subject><subject>Plaque, Atherosclerotic</subject><subject>Population studies</subject><subject>Predictive Value of Tests</subject><subject>Radiology</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>Severity of Illness Index</subject><subject>Stenosis</subject><subject>Thorax</subject><subject>Turkey</subject><issn>1569-5794</issn><issn>1573-0743</issn><issn>1875-8312</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkc1O3TAQha0KVCjwAN0gS2y6Sev_xEuEoK2E1E1ZR47t3GtI4uBxVO6yb16nl6IKqepmZqz55ozGB6H3lHykhNSfgBIpRUUorXSjdfX0Bh1TWfOK1IIfrLXSlay1OELvAO4JIYww_hYdMap4rWt9jH5ez8Ga5IIZsHFhjuBxDgBLSdtgHyYPgOfkXbAZsPNg_eTCtCndmIwNFpuYssEmb32KYIc1BsCwjT8m3O3wuAw5OJ-9zTFhG8d5yd7hHMe4SWbe7k7RYW8G8GfP-QTd3Vx_v_pS3X77_PXq8raygshcKdYYwZjktCd9w3wtFXFMOC4N0UoJoTnjhrCOSs2t66QRnRSEmb68u07wE_Rhrzun-Lh4yO0YyjXDYCYfF2gpp43Skqrm_yihtWK0aVhBL16h93FJUzlkpZT4rVcouqds-R1Ivm_nFEaTdgVqVyvbvZVtsbJdrWyfysz5s_LSjd69TPzxrgBsD0BpTRuf_l79L9Vf0OurjQ</recordid><startdate>20120401</startdate><enddate>20120401</enddate><creator>Yorgun, Hikmet</creator><creator>Canpolat, Uğur</creator><creator>Hazırolan, Tuncay</creator><creator>Sunman, Hamza</creator><creator>Ateş, Ahmet Hakan</creator><creator>Gürses, Kadri Murat</creator><creator>Ertuğrul, Özgür</creator><creator>Kaya, Ergün Barış</creator><creator>Aytemir, Kudret</creator><creator>Tokgözoğlu, Lale</creator><creator>Kabakçı, Giray</creator><creator>Oto, Ali</creator><general>Springer Netherlands</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>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7Z</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>7QO</scope></search><sort><creationdate>20120401</creationdate><title>Epicardial adipose tissue thickness predicts descending thoracic aorta atherosclerosis shown by multidetector computed tomography</title><author>Yorgun, Hikmet ; Canpolat, Uğur ; Hazırolan, Tuncay ; Sunman, Hamza ; Ateş, Ahmet Hakan ; Gürses, Kadri Murat ; Ertuğrul, Özgür ; Kaya, Ergün Barış ; Aytemir, Kudret ; Tokgözoğlu, Lale ; Kabakçı, Giray ; Oto, Ali</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c405t-628a422531f0f82e7560d24d35a0966449323a02b1593cdb5a4b5402af593bb43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adipose tissue</topic><topic>Age</topic><topic>Aged</topic><topic>Aorta</topic><topic>Aorta, Thoracic - diagnostic imaging</topic><topic>Aorta, Thoracic - pathology</topic><topic>Aortic Diseases - diagnostic imaging</topic><topic>Aortic Diseases - pathology</topic><topic>Arteriosclerosis</topic><topic>Atherosclerosis - diagnostic imaging</topic><topic>Atherosclerosis - pathology</topic><topic>Body fat</topic><topic>Cardiac Imaging</topic><topic>Cardiology</topic><topic>Cardiovascular diseases</topic><topic>Computed tomography</topic><topic>Coronary Angiography - methods</topic><topic>Coronary Stenosis - diagnostic imaging</topic><topic>Coronary Stenosis - pathology</topic><topic>Female</topic><topic>Heart diseases</topic><topic>Hormones</topic><topic>Humans</topic><topic>Imaging</topic><topic>Inflammation</topic><topic>Intra-Abdominal Fat - diagnostic imaging</topic><topic>Linear Models</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Multidetector Computed Tomography</topic><topic>Multivariate Analysis</topic><topic>Original Paper</topic><topic>Pericardium - diagnostic imaging</topic><topic>Plaque, Atherosclerotic</topic><topic>Population studies</topic><topic>Predictive Value of Tests</topic><topic>Radiology</topic><topic>Regression analysis</topic><topic>Retrospective Studies</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>Severity of Illness Index</topic><topic>Stenosis</topic><topic>Thorax</topic><topic>Turkey</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yorgun, Hikmet</creatorcontrib><creatorcontrib>Canpolat, Uğur</creatorcontrib><creatorcontrib>Hazırolan, Tuncay</creatorcontrib><creatorcontrib>Sunman, Hamza</creatorcontrib><creatorcontrib>Ateş, Ahmet Hakan</creatorcontrib><creatorcontrib>Gürses, Kadri Murat</creatorcontrib><creatorcontrib>Ertuğrul, Özgür</creatorcontrib><creatorcontrib>Kaya, Ergün Barış</creatorcontrib><creatorcontrib>Aytemir, Kudret</creatorcontrib><creatorcontrib>Tokgözoğlu, Lale</creatorcontrib><creatorcontrib>Kabakçı, Giray</creatorcontrib><creatorcontrib>Oto, Ali</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><jtitle>International Journal of Cardiovascular Imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yorgun, Hikmet</au><au>Canpolat, Uğur</au><au>Hazırolan, Tuncay</au><au>Sunman, Hamza</au><au>Ateş, Ahmet Hakan</au><au>Gürses, Kadri Murat</au><au>Ertuğrul, Özgür</au><au>Kaya, Ergün Barış</au><au>Aytemir, Kudret</au><au>Tokgözoğlu, Lale</au><au>Kabakçı, Giray</au><au>Oto, Ali</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Epicardial adipose tissue thickness predicts descending thoracic aorta atherosclerosis shown by multidetector computed tomography</atitle><jtitle>International Journal of Cardiovascular Imaging</jtitle><stitle>Int J Cardiovasc Imaging</stitle><addtitle>Int J Cardiovasc Imaging</addtitle><date>2012-04-01</date><risdate>2012</risdate><volume>28</volume><issue>4</issue><spage>911</spage><epage>919</epage><pages>911-919</pages><issn>1569-5794</issn><eissn>1573-0743</eissn><eissn>1875-8312</eissn><coden>IJCIBI</coden><abstract>Human epicardial adipose tissue (EAT) is a type of visceral adipose tissue functioning as an endocrine organ by secreting hormones and adipocytokines which have an important role in the atherosclerotic process. In this study, we aimed to assess the relationship between EAT measured by dual source multidetector computed tomography (MDCT) and descending thoracic aorta (DTA) atherosclerosis. A total of 148 patients who underwent MDCT for the evaluation of coronary artery disease were enrolled in this study. Thickness of the EAT was measured on contrast enhanced multiplanar reformat images with parasternal short axis view at basal, mid-ventricular and apical levels and horizontal long axis view. The atherosclerotic plaque was scored from 0 to 4 points by the percentage of the luminal surface at the cross sectional area of proximal, mid and distal segments of descending aorta. Among the study population, 84 (56.8%) were male and age was (mean ± standart deviation) 56.9 ± 11.7 years. In patients with critical coronary atherosclerosis, DTA atherosclerosis had a significant relationship with EAT (
P
= 0.012). Multivariate linear regression analysis revealed that in addition to critical coronary stenosis, age and total epicardial fat thickness were associated with aortic atherosclerosis (β value, 0.058 and 0.035; t value, 4.74 and 2.28, respectively;
P
< 0.05) after adjustment for traditional cardiovascular risk factors. In this study we demonstrated that atherosclerotic plaque burden of DTA was associated with the amount of EAT thickness among patients with suspected CAD shown by MDCT. Further large scale prospective studies are needed to address the interaction of EAT as well as the mediators of inflammation and adipocytokines with the development of atherosclerotic plaques in aorta and effects on cardiovascular outcomes.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>21637979</pmid><doi>10.1007/s10554-011-9899-x</doi><tpages>9</tpages></addata></record> |
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subjects | Adipose tissue Age Aged Aorta Aorta, Thoracic - diagnostic imaging Aorta, Thoracic - pathology Aortic Diseases - diagnostic imaging Aortic Diseases - pathology Arteriosclerosis Atherosclerosis - diagnostic imaging Atherosclerosis - pathology Body fat Cardiac Imaging Cardiology Cardiovascular diseases Computed tomography Coronary Angiography - methods Coronary Stenosis - diagnostic imaging Coronary Stenosis - pathology Female Heart diseases Hormones Humans Imaging Inflammation Intra-Abdominal Fat - diagnostic imaging Linear Models Male Medicine Medicine & Public Health Middle Aged Multidetector Computed Tomography Multivariate Analysis Original Paper Pericardium - diagnostic imaging Plaque, Atherosclerotic Population studies Predictive Value of Tests Radiology Regression analysis Retrospective Studies Risk Assessment Risk Factors Severity of Illness Index Stenosis Thorax Turkey |
title | Epicardial adipose tissue thickness predicts descending thoracic aorta atherosclerosis shown by multidetector computed tomography |
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