Back

Predictors of percutaneous coronary intervention derived from CCTA in patients with chronic coronary syndrome

31 August 2024 (11:00 - 11:50)
Organised by: Logo
Congress Presentation Part of: Non-invasive methods for evaluating coronary artery disease Noninvasive Diagnostic Methods ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

Photo
Doctor Marta Belmonte

Sapienza University of Rome, Rome (Italy)

7 More presentations in this session

Presentation thumbnail
Non-invasive imaging to guide percutaneous coronary revascularization in chronic total occlusion: a systematic review and meta-analysis
Doctor G. Bisaccia (Chieti, IT)
Abstract Slides Video
Presentation thumbnail
Enhancing computational fluid dynamics simulation for coronary artery disease analysis through spatial iterative modeling
Mr M. Arya (Izmir, TR)
Abstract Slides Video
Presentation thumbnail
Quantitative myocardial blood flow distribution derived from CCTA and determination of myocardium at risk in the FAST TRACK CABG trial
Professor P. Serruys (Galway, IE)
Abstract Slides Video
Presentation thumbnail
Prognostic implication of computational angiography-derived fractional flow reserve in patients with non-obstructive coronary artery disease
Mr Y. Hung (Hong Kong, HK)
Abstract Slides Video
Presentation thumbnail
Machine-learning based prediction of obstructive coronary artery disease using integrated submodules of clinical information, chest x-ray, and electrocardiography
Professor R. Heo (Seoul, KR)
Abstract Slides Video

Access the full session

Session thumbnail
Non-invasive methods for evaluating coronary artery disease

The Event

Event poster

ESC Congress 2024

31 August 2024 11:00 CET
You may be interested in
thumbnail
Congress Presentation
Impact of using the 2024 ESC Guideline-recommended method for estimating the likelihood of obstructive coronary disease - a cardiac CT study
thumbnail
Congress Session
Risk prediction in coronary artery disease using cardiac computed tomography
thumbnail
Congress Session
Coronary computed tomography angiograms for diagnosis and risk stratification

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