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Automated deep learning quantification of epicardial adiposity on cardiac CT predicts atrial fibrillation risk immediately following cardiac surgery and long-term

Topic: Coronary Computed Tomography Angiography (Coronary CTA, CCTA)

Congress Presentation

About the speaker

Doctor Henry West

University of Oxford, Oxford (United Kingdom of Great Britain & Northern Ireland)
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5 more presentations in this session

Clinical impact of novel pericoronary adipose tissue measurement on ECG-gated non-contrast chest CT scan

Speaker: Doctor D. Takahashi (Hongo, Bunkyo-ku, Tokyo, JP)

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Epicardial and pericoronary fat volume and attenuation, lipid lowering therapy and coronary high risk coronary plaque burden

Speaker: Doctor B. Balcer (Essen, DE)

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Influence of gender on coronary atherosclerosis and inflammatory biomarker profile: A CT angiographic study

Speaker: Assistant Professor D. Bittner (Augsburg, DE)

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Coronary artery stenosis and vulnerable plaque quantification on CCTA by deep learning methods

Speaker: Doctor A. He (Perth, AU)

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Coronary computed tomography angiography based endothelial wall shear stress in normal coronary arteries

Speaker: Doctor J. Schultz (Turku, FI)

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Access the full session

Epicardial fat, coronary atherosclerosis and beyond

Speakers: Doctor H. West, Doctor D. Takahashi, Doctor B. Balcer, Assistant Professor D. Bittner, Doctor A. He...
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ESC Congress 2022

26 August - 29 August 2022

Sessions Presentations

ESC 365 is supported by

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