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Latest Advances in Cardiac CT

Recent rapid technological advancements in cardiac CT have improved image quality and reduced radiation exposure to patients. Furthermore, key insights from large cohort trials have helped delineate cardiovascular disease risk as a function of overall coronary plaque burden and the morphological app...

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Detalles Bibliográficos
Autores principales: Heseltine, Thomas D, Murray, Scott W, Ruzsics, Balazs, Fisher, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Radcliffe Cardiology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7066830/
https://www.ncbi.nlm.nih.gov/pubmed/32180833
http://dx.doi.org/10.15420/ecr.2019.14.2
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author Heseltine, Thomas D
Murray, Scott W
Ruzsics, Balazs
Fisher, Michael
author_facet Heseltine, Thomas D
Murray, Scott W
Ruzsics, Balazs
Fisher, Michael
author_sort Heseltine, Thomas D
collection PubMed
description Recent rapid technological advancements in cardiac CT have improved image quality and reduced radiation exposure to patients. Furthermore, key insights from large cohort trials have helped delineate cardiovascular disease risk as a function of overall coronary plaque burden and the morphological appearance of individual plaques. The advent of CT-derived fractional flow reserve promises to establish an anatomical and functional test within one modality. Recent data examining the short-term impact of CT-derived fractional flow reserve on downstream care and clinical outcomes have been published. In addition, machine learning is a concept that is being increasingly applied to diagnostic medicine. Over the coming decade, machine learning will begin to be integrated into cardiac CT, and will potentially make a tangible difference to how this modality evolves. The authors have performed an extensive literature review and comprehensive analysis of the recent advances in cardiac CT. They review how recent advances currently impact on clinical care and potential future directions for this imaging modality.
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spelling pubmed-70668302020-03-16 Latest Advances in Cardiac CT Heseltine, Thomas D Murray, Scott W Ruzsics, Balazs Fisher, Michael Eur Cardiol Imaging Recent rapid technological advancements in cardiac CT have improved image quality and reduced radiation exposure to patients. Furthermore, key insights from large cohort trials have helped delineate cardiovascular disease risk as a function of overall coronary plaque burden and the morphological appearance of individual plaques. The advent of CT-derived fractional flow reserve promises to establish an anatomical and functional test within one modality. Recent data examining the short-term impact of CT-derived fractional flow reserve on downstream care and clinical outcomes have been published. In addition, machine learning is a concept that is being increasingly applied to diagnostic medicine. Over the coming decade, machine learning will begin to be integrated into cardiac CT, and will potentially make a tangible difference to how this modality evolves. The authors have performed an extensive literature review and comprehensive analysis of the recent advances in cardiac CT. They review how recent advances currently impact on clinical care and potential future directions for this imaging modality. Radcliffe Cardiology 2020-02-26 /pmc/articles/PMC7066830/ /pubmed/32180833 http://dx.doi.org/10.15420/ecr.2019.14.2 Text en Copyright © 2020, Radcliffe Cardiology https://creativecommons.org/licenses/by-nc/4.0/legalcode This work is open access under the CC-BY-NC 4.0 License which allows users to copy, redistribute and make derivative works for non-commercial purposes, provided the original work is cited correctly.
spellingShingle Imaging
Heseltine, Thomas D
Murray, Scott W
Ruzsics, Balazs
Fisher, Michael
Latest Advances in Cardiac CT
title Latest Advances in Cardiac CT
title_full Latest Advances in Cardiac CT
title_fullStr Latest Advances in Cardiac CT
title_full_unstemmed Latest Advances in Cardiac CT
title_short Latest Advances in Cardiac CT
title_sort latest advances in cardiac ct
topic Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7066830/
https://www.ncbi.nlm.nih.gov/pubmed/32180833
http://dx.doi.org/10.15420/ecr.2019.14.2
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