Back

Incremental prognostic value of CT-derived extracellular volume in severe aortic stenosis

29 August 2025 (07:00 - 18:00)
Organised by: Logo
Congress Presentation Part of: Imaging in aortic stenosis Imaging ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

Photo
Doctor Rita Carvalho

Western Lisbon Hospital Centre, EPE, Lisbon (Portugal)

7 More presentations in this session

Presentation thumbnail
Morphological and functional phenotyping of patients with severe aortic stenosis, preserved ejection fraction and low-flow constellations
Doctor S. Gersch (Goettingen, DE)
Abstract Slides Video
Presentation thumbnail
Can AI solve the problem of diagnosing low-gradient aortic stenosis?
Mr M. Wrzosek (Warsaw, PL)
Abstract Slides
Presentation thumbnail
Systolic impairment in severe aortic stenosis with afterload mismatch is better predicted by excessively high afterload than myocardial fibrosis
Doctor M. Rajah (Cape Town, ZA)
Abstract Slides Video
Presentation thumbnail
Prognostic value of stroke volume index after low-dose dobutamine stress testing in asymptomatic patients with severe high-gradient aortic stenosis and normal left ventricular ejection fraction
Doctor N. Boskovic (Belgrade, RS)
Abstract Slides Video
Presentation thumbnail
Prediction of future redo-TAVI feasibility by preoperative computed tomography
Doctor S. Nakawatase (Osaka, JP)
Abstract Slides Video

Access the full session

Session thumbnail
Imaging in aortic stenosis

The Event

Event poster

ESC Congress 2025

29 August - 1 September 2025
You may be interested in
thumbnail
Congress Presentation
Association of cardiac damage and computed tomography-derived extracellular volume in patients undergoing transcatheter aortic valve implantation
thumbnail
Congress Presentation
Prognostic value of cardiac computed tomography parameters to predict pre-intervention outcomes in patients with severe aortic stenosis
thumbnail
Congress Presentation
Comparative assessment of CMR-determined extracellular volume metrics in predicting adverse outcomes

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources