Heat conduction in live tissue during radiofrequency electrosurgery

Area of Science:

• Biomedical Engineering
• Thermal Modeling
• Surgical Technology

Background:

• Radiofrequency electrosurgery is a critical surgical tool.
• Accurate thermal modeling is essential for predicting tissue response and optimizing energy delivery.
• Existing models may lack accuracy at higher temperatures encountered in certain procedures.

Purpose of the Study:

• To develop and validate a novel model for radiofrequency electrosurgery.
• To accurately capture thermal phenomena at elevated temperatures.
• To improve the efficiency of electrosurgical modeling and parameter estimation.

Main Methods:

• Proposed a non-Fourier Maxwell-Cattaneo-type model.
• Integrated an Arrhenius-type model for reaction kinetics and energy dissipation.
• Utilized experimental data from *in vivo* porcine liver trials for parameter estimation.

Main Results:

• The combined non-Fourier and Arrhenius model accurately represents high-temperature electrosurgical phenomena.
• Experimental validation on porcine liver confirmed model suitability.
• The proposed model demonstrates higher accuracy compared to existing methods.

Conclusions:

• The developed model offers a more precise approach to radiofrequency electrosurgery simulation.
• This advancement can lead to improved surgical outcomes and reduced procedure times.
• The model provides a foundation for further optimization of electrosurgical devices and techniques.