Back

Valvular leaflets and epicardial fat have a significant effect on lesion size in RF ablation

30 August 2024 (08:00 - 17:30)
Organised by: Logo
Congress Presentation Part of: Clinical implications of catheter ablation techniques Catheter Ablation of Arrhythmias ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

Photo
Mrs Camille Colling

Munich (Germany)

8 More presentations in this session

Presentation thumbnail
"Honey pot"-like lesion formation: impact of catheter contact angle on lesion formation by novel temperature controlled ablation catheter in a porcine experimental model
Doctor S. Ogiso (Kanagawa, JP)
Abstract Slides Video
Presentation thumbnail
Evaluating lesion integrity with diamond temp system
Doctor A. Khanani (Lakeland, US)
Abstract Slides Video
Presentation thumbnail
Risk of right coronary artery injury and distance from tricuspid valve ring to right coronary artery in radiofrequency ablation.
Mr M. Takigawa (Tokyo, JP)
Abstract Slides Video
Presentation thumbnail
Anatomical characteristics of the phrenic nerve and the spontaneous conduction block between the right atrium and the superior vena cava
Doctor R. Hojo (Tokyo, JP)
Abstract Slides Video
Presentation thumbnail
The intracardiac echocardiographic findings during rewarming using catheter-based cryoablation
Doctor M. Sugitani (Nishinomiya, JP)
Abstract Slides Video

Access the full session

Session thumbnail
Clinical implications of catheter ablation techniques

The Event

Event poster

ESC Congress 2024

30 August - 2 September 2024
You may be interested in
thumbnail
Congress Presentation
Optimisation of linear lesion creation at the left atrial roof and posterior wall guided by wall thickness and epicardial fat using photon-counting CT imaging
thumbnail
Congress Presentation
Lesion metrics analysis of very high-power vs. high-power short duration radiofrequency ablation in a porcine ex vivo model.
thumbnail
Congress Presentation
Accurate estimation of lesion metrics in radiofrequency ablation using machine-learning model

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources