Back

Development and validation of a long-term clinical prediction model for MACE associated with non-culprit lesions after percutaneous coronary intervention in patients with AMI

29 August 2025 (07:00 - 18:00)
Organised by: Logo
Congress Presentation Part of: Coronary artery disease imaging Plaque Imaging ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

Photo
Doctor Senqing Jiang

The Second Affiliated Hospital of Harbin Medical University, Harbin (China)

7 More presentations in this session

Presentation thumbnail
Novel lesion-level coronary artery calcium characterization from non-contrast computed tomography
Doctor L. Yan (Singapore, SG)
Abstract Slides Video
Presentation thumbnail
Haptoglobin phenotypes and coronary artery disease: unlocking a new marker for cardiovascular risk
Doctor R. Maragna (Milan, IT)
Abstract Slides Video
Presentation thumbnail
Prognostic efficacy of peri-coronary adipose tissue volume and computed tomography derived fractional flow reserve alone and in combination on outcome of patients with chronic coronary syndrome
Doctor Y. Wang (Nanjing, CN)
Abstract Slides Video
Presentation thumbnail
Video-based deep learning can estimate coronary artery calcium score using echocardiography in patients with chronic kidney disease
Mr J. Christensen (Hellerup, DK)
Abstract Slides Video
Presentation thumbnail
Dynamic CT perfusion to identify hemodynamically significant coronary artery disease- preliminary results of a one-stop-shop approach
Doctor D. Da Silva Correia (Lisbon, PT)
Abstract Slides Video

Access the full session

Session thumbnail
Coronary artery disease imaging

The Event

Event poster

ESC Congress 2025

29 August - 1 September 2025
You may be interested in
thumbnail
Congress Presentation
Integrative machine learning model for predicting patient-oriented composite endpoints in acute myocardial infarction: a neuroendocrine biomarker approach
thumbnail
Congress Presentation
Development and validation of a machine learning-based explainable predictive model for long-term outcomes in patients with high bleeding risk undergoing percutaneous coronary intervention
thumbnail
Congress Presentation
Development of a multidimensional data-driven prediction model and risk stratification for 1-year cardiac mortality in AMI patients

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources