Non-invasive quantitative characterization of aortic valve tissue composition from computed tomography angiography improves patient risk stratification in transcatheter aortic valve implantation.

29 August 2020 (00:00 - 00:00)

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About the speaker

Doctor Kajetan Grodecki

Medical University of Warsaw, Warsaw (Poland)

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Incremental prognostic value of pericoronary adipose tissue attenuation on top of comprehensive CCTA assessment

Mr P. Van Diemen (Amsterdam, NL)

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Left atrial size derived by non-contrast cardiac computed tomography and risk of incident atrial fibrillation

Mrs M. Fredgart (Odense, DK)

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The association of pericoronary adipose tissue attenuation with major adverse cardiac events (MACE) and atherosclerosis-relevant inflammatory mediators

Doctor M. Goeller (Erlangen, DE)

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A deep learning approach to automate high-resolution blood vessel reconstruction on computerised tomography images with or without the use of contrast agents

Mr A. Chandrashekar (Oxford, GB)

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A deep learning approach to generate contrast-enhanced computerised tomography angiograms without the use of intravenous contrast agents

Mr A. Chandrashekar (Oxford, GB)

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Computed Tomography ePosters

The Event

ESC Congress 2020

29 August - 1 September 2020

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ESC 365 is supported by

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