Back

Prognostic implication of computational angiography-derived fractional flow reserve in patients with non-obstructive coronary artery disease

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

About the speaker

Photo
Mr Yik Ming Hung

Queen Mary Hospital, Hong Kong (Hong Kong)

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
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
Presentation thumbnail
angioPy: an open-source, deep learning-driven tool for coronary artery segmentation
Doctor T. Mahendiran (Aalst, BE)
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 Session
Functional testing in coronary artery disease
thumbnail
Congress Presentation
A comprehensive approach combining FFR, CFR, and IMR in order to predict adverse cardiovascular events in patients with non-obstructive coronary artery disease
thumbnail
Congress Presentation
Prognostic value of coronary computed tomography angiography-derived fractional flow reserve (FFR-CT) from a large nationwide cohort.

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources