Back

Lipid core burden in relation to the severity of calcium burden assessed by computed tomographic coronary angiography in patients with chronic coronary syndrome

26 August 2023 (13:15 - 14:00)
Organised by: Logo
Congress Presentation Part of: Coronary computed tomography angiography: stenosis, plaque analysis or something else? Imaging of Coronary Artery Disease ESC Professional Premium Access ESC Congress 2023 European Society of Cardiology

About the speaker

Photo
Doctor Tatsuhiro Nagamine

Tsuchiura Kyodo General Hospital, Ibaraki (Japan)

8 More presentations in this session

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

Access the full session

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

The Event

Event poster

ESC Congress 2023

26 August 2023 13:15 CET
You may be interested in
thumbnail
Congress Presentation
Computed tomographic predictors of a lipid-rich plaque identified by near-infrared spectroscopy.
thumbnail
Congress Presentation
Noninvasive and invasive assessment of plaque composition and burden in chronic coronary syndromes
thumbnail
Congress Presentation
Artificial intelligence-based automated plaque quantification from CCTA to predict acute coronary syndrome on top of obstructive or ischemic coronary artery disease

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources