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
Hauptverfasser: 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
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container_issue 4
container_start_page 911
container_title International Journal of Cardiovascular Imaging
container_volume 28
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  
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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  &lt; 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. 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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  &lt; 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 &amp; 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 &amp; 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 &amp; 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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  &lt; 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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