Back

Predictive value of plaque characteristics assessed by coronary computed tomography angiography and optical coherence tomography for identification of lesions causing ischemia

1 September 2024 (12:00 - 12:50)
Organised by: Logo
Congress Presentation Part of: Myocardial ischaemia and heart failure: insight from multimodality imaging Imaging of Coronary Artery Disease ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

Photo
Doctor Jonghu Shin

Yonsei University, Seoul (Korea (Republic of))

7 More presentations in this session

Presentation thumbnail
The role of semi-quantitative parameters of thallium-201 myocardial perfusion imaging in predicting mortality rate among CKD population
Doctor Y. Liu (Kaohsiung, TW)
Abstract Slides Video
Presentation thumbnail
Rosuvastatin effect on atherosclerotic plaque microcalcification
Doctor M. Santos (Coimbra, PT)
Abstract Slides Video
Presentation thumbnail
Predictors of LV reverse remodeling after SAVR: insights from a prospective TTE and CMR study in patients with severe aortic stenosis.
Doctor R. Reis Santos (Lisbon, PT)
Abstract Slides Video
Presentation thumbnail
Dapagliflozin reduces epicardial adipose tissue in patients with heart failure with reduced ejection fraction and type 2 diabetes
Mr M. Alghamdi (Dundee, GB)
Abstract Slides Video
Presentation thumbnail
The correlation between cardiac magnetic resonance imaging and echocardiography in patients with severe ischaemic cardiomyopathy
Doctor T. Aklilu (London, GB)
Abstract Slides Video

Access the full session

Session thumbnail
Myocardial ischaemia and heart failure: insight from multimodality imaging

The Event

Event poster

ESC Congress 2024

1 September 2024 12:00 CET
You may be interested in
thumbnail
Congress Presentation
Influence of coronary plaque characteristics on lesion-specific ischemia assessed by coronary computed tomography angiography and fractional flow reserve - a systematic review and meta-analysis
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
thumbnail
Congress Session
Coronary plaque characterisation: from proteomics to artificial intelligence

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources