Role of Computational Modelling in Enhancing Thermal Safety During Cardiac Ablation

Area of Science:

• Cardiovascular Medicine
• Biomedical Engineering
• Medical Physics

Background:

• Cardiac ablation techniques like radiofrequency ablation, cryoablation, and pulsed-field ablation are critical for treating arrhythmias.
• Optimizing these procedures requires precise control over energy delivery and tissue response.
• Computational modeling offers a promising avenue for enhancing the precision, safety, and effectiveness of cardiac ablation.

Purpose of the Study:

• To analyze current cardiac ablation techniques.
• To focus on the role of computational modeling in improving ablation precision, safety, and effectiveness.
• To explore thermal management and energy delivery control through computational approaches.

Main Methods:

• A narrative review based on expert knowledge and a targeted literature search.
• Analysis of radiofrequency ablation, cryoablation, and pulsed-field ablation mechanisms, applications, and limitations.
• Discussion of computational approaches, including numerical and AI-based models, for evaluating energy distribution, lesion size, and tissue response.

Main Results:

• Computational methods can predict ablation treatment outcomes.
• These models aid in optimizing lesion size, ablation parameters, and procedural safety.
• Model reliability is contingent upon proper validation and verification.

Conclusions:

• Further research is needed to gather in vivo data for validating computational models.
• Integration of validated computational models into clinical practice is essential.
• Improved patient outcomes are anticipated with the clinical adoption of computational modeling.