Temperature-controlled radiofrequency ablation of different tissues using two-compartment models

Area of Science:

• Biomedical Engineering
• Therapeutic Technologies
• Oncology

Background:

• Radiofrequency ablation (RFA) is a minimally invasive thermal therapy used for tumor treatment.
• Understanding tissue-specific responses to RFA is critical for optimizing treatment outcomes.
• Previous studies have explored RFA but often lack detailed analysis of varying tissue environments.

Purpose of the Study:

• To analyze the efficacy of temperature-controlled radiofrequency ablation (RFA) across different tissue types.
• To investigate the impact of tissue perfusion and thermal properties on RFA outcomes.
• To determine optimal treatment parameters for complete tumor necrosis with minimal collateral damage.

Main Methods:

• A 3D computational model simulating healthy tissue with embedded tumors was developed.
• Thermo-electric analysis was used to estimate temperature distribution and ablation volume.
• A programmable, temperature-controlled RFA system with a PID controller was employed.
• Numerical results were validated against in vitro experiments using tissue-mimicking phantom gels.

Main Results:

• Significant variations in input voltage and temperature distribution were observed across different tissues.
• Hypovascular lung tissue yielded the largest ablation volume; highly perfused kidney tissue yielded the least.
• Optimal treatment times for complete tumor necrosis varied, with associated quantification of healthy tissue damage.

Conclusions:

• The surrounding tissue environment significantly influences RFA-induced ablation volume.
• Optimizing treatment time is key to minimizing damage to adjacent healthy tissues during RFA.
• Organ-specific clinical protocols and systems are necessary for safe and effective RFA tumor treatment.