A New Model for RF Ablation Planning in Clinic

Area of Science:

• Biomedical Engineering
• Medical Physics
• Computational Biology

Background:

• Radiofrequency ablation (RF) is a crucial medical procedure.
• Accurate temperature field prediction is vital for effective RF treatment planning.
• Existing models often lack precision due to simplified assumptions about tissue properties.

Purpose of the Study:

• To develop and validate a novel theoretical model for RF ablation.
• To improve the accuracy of temperature field and ablation range predictions.
• To incorporate patient-specific electrical resistance for personalized treatment planning.

Main Methods:

• A two-cylinder model simulating human anatomy with specific electrical conductivities was developed.
• Numerical simulations were performed based on patient-specific electrical resistance and RF power.
• The orthogonal-array method was used for parameter analysis.
• RF heating experiments in a live pig liver were conducted for validation.

Main Results:

• The model accurately predicted temperature distribution, aligning well with experimental data.
• A narrow range of model parameters yielded consistent ablation range predictions under specific resistance and power conditions.
• The proposed model demonstrated superior accuracy compared to uniform-electrical-conductivity models.

Conclusions:

• The developed model offers a more precise approach to simulating RF ablation.
• Incorporating patient-specific electrical resistance significantly improves ablation range prediction accuracy.
• This model holds potential for enhanced clinical treatment planning in RF ablation procedures.