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Deep learning-based quantitative image analysis for detecting coronary artery stenosis, calcification, and vulnerable plaque in coronary computed tomography angiography

26 August 2023 (13:15 - 14:00)
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Congress Presentation Part of: Coronary computed tomography angiography: stenosis, plaque analysis or something else? Coronary Computed Tomography Angiography (Coronary CTA, CCTA) ESC Professional Premium Access ESC Congress 2023 European Society of Cardiology

About the speaker

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Associate Professor Dae-Won Kim

Daejeon St. Mary's Hospital, Daejeon (Korea (Republic of))

8 More presentations in this session

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Choosing between coronary CT angiography and functional tests in patients with suspected coronary artery disease: mind the (gender) gap
Miss M. Paiva (Lisbon, PT)
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The natural history and prediction of 10-year plaque progression on serial coronary CT angiography
Mr N. Nurmohamed (Amsterdam, NL)
Abstract Slides
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Incremental prognostic value of coronary plaque features on CT angiography in symptomatic patients with obstructive CAD
Doctor E. Gall (Paris, FR)
Abstract Slides Video
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Effects of stenotic lesion morphology on trans-lesional computed tomography derived fractional flow reserve (FFRCT) changes
Doctor T. Tsugu (Jette, BE)
Abstract Slides
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Real world impact of added FFR-CT to coronary CT angiography on clinical decision-making and patient prognosis
Miss L. Becker (Nieuwegein, NL)
Abstract Slides Video

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Coronary computed tomography angiography: stenosis, plaque analysis or something else?

The Event

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ESC Congress 2023

26 August 2023 13:15 CET
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ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources