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Radiofrequency ablation for liver tumors abutting complex blood vessel structures: treatment protocol optimization
Zheng Fang1,2, Hongjun Wei3, Hanwei Zhang3
1Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, Canada.
Summary
Optimizing radiofrequency ablation (RFA) parameters for liver tumors near blood vessels can maximize tumor destruction while minimizing damage. This study developed an RFA protocol to achieve large ablation volumes and reduce thermal injury to surrounding vasculature.
Area of Science:
- Oncology
- Medical Imaging & Technology
- Biomedical Engineering
Background:
- Radiofrequency ablation (RFA) is a key treatment for liver tumors.
- Treating tumors near complex vascular structures poses challenges due to potential thermal damage.
- Optimizing RFA parameters is crucial for effective tumor destruction and organ preservation.
Purpose of the Study:
- To design clinically adjustable RFA parameters for maximizing liver tumor ablation volume.
- To minimize thermal damage to adjacent blood vessels during RFA.
- To develop an optimized RFA protocol for liver tumors near complex vasculature.
Main Methods:
- Response surface methodology (RSM) was used to model the relationship between RFA parameters and outcomes.
- A coupled electric-thermal-fluid RFA computer model served as the simulation platform.
- Key parameters investigated included ablation time, electrode position, and insertion angle.
Main Results:
- The RFA protocol significantly influenced both tumor ablation volume and thermal damage to vessels (R² > 93%).
- An optimized RFA protocol increased tumor ablation from 98.1% to 99.6%.
- The optimized protocol reduced thermal damage to blood vessels from 4.1% to 0.4%.
Conclusions:
- Clinically adjustable RFA parameters can be designed to achieve large tumor ablation volumes.
- Minimizing thermal damage to surrounding blood vessels is achievable with optimized RFA protocols.
- This approach enhances the safety and efficacy of RFA for liver tumors near critical vascular structures.

