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Imaging Subclinical Atherosclerosis: Where Do We Stand?

The age of initiation and the rate of progression of atherosclerosis vary markedly among individuals and have been difficult to predict with traditional cardiovascular risk assessment models. Although these risk models provide good discrimination and calibration in certain populations, cardiovascula...

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Autores principales: Papageorgiou, Nikolaos, Briasoulis, Alexandros, Androulakis, Emmanuel, Tousoulis, Dimitris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Science Publishers 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5324316/
https://www.ncbi.nlm.nih.gov/pubmed/27492229
http://dx.doi.org/10.2174/1573403X12666160803095855
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author Papageorgiou, Nikolaos
Briasoulis, Alexandros
Androulakis, Emmanuel
Tousoulis, Dimitris
author_facet Papageorgiou, Nikolaos
Briasoulis, Alexandros
Androulakis, Emmanuel
Tousoulis, Dimitris
author_sort Papageorgiou, Nikolaos
collection PubMed
description The age of initiation and the rate of progression of atherosclerosis vary markedly among individuals and have been difficult to predict with traditional cardiovascular risk assessment models. Although these risk models provide good discrimination and calibration in certain populations, cardiovascular disease (CVD) risk may not be accurately estimated in low- and intermediate risk individuals. Therefore, imaging techniques such as Ankle-Brachial Index (ABI), Coronary Artery Calcium score (CAC), carotid Intima-Media Thickness (cIMT), flow mediated dilation (FMD) and Positron Emission Tomography (PET) have been developed and used to reclassify these individuals. In the present article we review the role of the most commonly used imaging techniques for CVD risk assessment.
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spelling pubmed-53243162018-02-01 Imaging Subclinical Atherosclerosis: Where Do We Stand? Papageorgiou, Nikolaos Briasoulis, Alexandros Androulakis, Emmanuel Tousoulis, Dimitris Curr Cardiol Rev Article The age of initiation and the rate of progression of atherosclerosis vary markedly among individuals and have been difficult to predict with traditional cardiovascular risk assessment models. Although these risk models provide good discrimination and calibration in certain populations, cardiovascular disease (CVD) risk may not be accurately estimated in low- and intermediate risk individuals. Therefore, imaging techniques such as Ankle-Brachial Index (ABI), Coronary Artery Calcium score (CAC), carotid Intima-Media Thickness (cIMT), flow mediated dilation (FMD) and Positron Emission Tomography (PET) have been developed and used to reclassify these individuals. In the present article we review the role of the most commonly used imaging techniques for CVD risk assessment. Bentham Science Publishers 2017-02 2017-02 /pmc/articles/PMC5324316/ /pubmed/27492229 http://dx.doi.org/10.2174/1573403X12666160803095855 Text en © Papageorgiou et.al2017 Bentham Science Publishers https://creativecommons.org/licenses/by-nc/4.0/legalcode This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Papageorgiou, Nikolaos
Briasoulis, Alexandros
Androulakis, Emmanuel
Tousoulis, Dimitris
Imaging Subclinical Atherosclerosis: Where Do We Stand?
title Imaging Subclinical Atherosclerosis: Where Do We Stand?
title_full Imaging Subclinical Atherosclerosis: Where Do We Stand?
title_fullStr Imaging Subclinical Atherosclerosis: Where Do We Stand?
title_full_unstemmed Imaging Subclinical Atherosclerosis: Where Do We Stand?
title_short Imaging Subclinical Atherosclerosis: Where Do We Stand?
title_sort imaging subclinical atherosclerosis: where do we stand?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5324316/
https://www.ncbi.nlm.nih.gov/pubmed/27492229
http://dx.doi.org/10.2174/1573403X12666160803095855
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