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Multimodality Imaging in Coronary Artery Disease: Focus on Computed Tomography

Coronary artery disease (CAD) is the leading cause of mortality worldwide, and various cardiovascular imaging modalities have been introduced for the purpose of diagnosing and determining the severity of CAD. More recently, advances in computed tomography (CT) technology have contributed to the wide...

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Autores principales: Lee, Ji Hyun, Han, Donghee, Danad, Ibrahim, Hartaigh, Bríain ó, Lin, Fay Y., Min, James K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Echocardiography 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4828419/
https://www.ncbi.nlm.nih.gov/pubmed/27081438
http://dx.doi.org/10.4250/jcu.2016.24.1.7
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author Lee, Ji Hyun
Han, Donghee
Danad, Ibrahim
Hartaigh, Bríain ó
Lin, Fay Y.
Min, James K.
author_facet Lee, Ji Hyun
Han, Donghee
Danad, Ibrahim
Hartaigh, Bríain ó
Lin, Fay Y.
Min, James K.
author_sort Lee, Ji Hyun
collection PubMed
description Coronary artery disease (CAD) is the leading cause of mortality worldwide, and various cardiovascular imaging modalities have been introduced for the purpose of diagnosing and determining the severity of CAD. More recently, advances in computed tomography (CT) technology have contributed to the widespread clinical application of cardiac CT for accurate and noninvasive evaluation of CAD. In this review, we focus on imaging assessment of CAD based upon CT, which includes coronary artery calcium screening, coronary CT angiography, myocardial CT perfusion, and fractional flow reserve CT. Further, we provide a discussion regarding the potential implications, benefits and limitations, as well as the possible future directions according to each modality.
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spelling pubmed-48284192016-04-14 Multimodality Imaging in Coronary Artery Disease: Focus on Computed Tomography Lee, Ji Hyun Han, Donghee Danad, Ibrahim Hartaigh, Bríain ó Lin, Fay Y. Min, James K. J Cardiovasc Ultrasound Review Coronary artery disease (CAD) is the leading cause of mortality worldwide, and various cardiovascular imaging modalities have been introduced for the purpose of diagnosing and determining the severity of CAD. More recently, advances in computed tomography (CT) technology have contributed to the widespread clinical application of cardiac CT for accurate and noninvasive evaluation of CAD. In this review, we focus on imaging assessment of CAD based upon CT, which includes coronary artery calcium screening, coronary CT angiography, myocardial CT perfusion, and fractional flow reserve CT. Further, we provide a discussion regarding the potential implications, benefits and limitations, as well as the possible future directions according to each modality. Korean Society of Echocardiography 2016-03 2016-03-24 /pmc/articles/PMC4828419/ /pubmed/27081438 http://dx.doi.org/10.4250/jcu.2016.24.1.7 Text en Copyright © 2016 Korean Society of Echocardiography http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Lee, Ji Hyun
Han, Donghee
Danad, Ibrahim
Hartaigh, Bríain ó
Lin, Fay Y.
Min, James K.
Multimodality Imaging in Coronary Artery Disease: Focus on Computed Tomography
title Multimodality Imaging in Coronary Artery Disease: Focus on Computed Tomography
title_full Multimodality Imaging in Coronary Artery Disease: Focus on Computed Tomography
title_fullStr Multimodality Imaging in Coronary Artery Disease: Focus on Computed Tomography
title_full_unstemmed Multimodality Imaging in Coronary Artery Disease: Focus on Computed Tomography
title_short Multimodality Imaging in Coronary Artery Disease: Focus on Computed Tomography
title_sort multimodality imaging in coronary artery disease: focus on computed tomography
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4828419/
https://www.ncbi.nlm.nih.gov/pubmed/27081438
http://dx.doi.org/10.4250/jcu.2016.24.1.7
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