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Computational Modeling of Microwave Tumor Ablation
Marija Radmilović-Radjenović1, Nikola Bošković1, Branislav Radjenović1
1Institute of Physics, University of Belgrade, Pregrevica 118, 11080 Belgrade, Serbia.
Bioengineering (Basel, Switzerland)
|November 10, 2022
Summary
Computer modeling optimizes microwave ablation, a minimally invasive cancer treatment. Simulations predict heat spread, enabling precise tumor destruction while minimizing damage to healthy tissue.
Area of Science:
- Oncology
- Biomedical Engineering
- Medical Physics
Background:
- Microwave ablation is a minimally invasive cancer treatment using microwave energy for heat generation.
- Potential for localized heating and damage to surrounding tissues necessitates optimization.
- Computer modeling offers an effective approach to refine microwave ablation techniques.
Purpose of the Study:
- To review computational studies on microwave tumor ablation.
- To explore novel treatment planning strategies using numerical methods.
- To demonstrate the utility of 3D simulations for optimizing ablation procedures.
Main Methods:
- Recapitulation of numerous computational studies on microwave tumor ablation.
- Discussion of emerging treatment planning areas leveraging numerical methods.
- Presentation and analysis of 3D simulations for real liver tumors (3D-IRCADb-01 database).
Main Results:
- Numerical methods are effective for controlling ablation size and ensuring tumor destruction.
- Predictive models can minimize damage to healthy tissues by optimizing power and time.
- 3D simulations confirm the utility of numerical methods for precise, minimally invasive ablation.
Conclusions:
- Computational modeling is crucial for understanding heat transport in microwave ablation.
- Numerical methods enable precise control over ablation size, minimizing collateral damage.
- 3D simulations provide valuable insights for planning and executing effective microwave tumor ablation.
