| Issue |
ITM Web Conf.
Volume 83, 2026
2025 International Conference on Information Technology, Education and Management Innovation (ITEMI 2025)
|
|
|---|---|---|
| Article Number | 01009 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/itmconf/20268301009 | |
| Published online | 10 March 2026 | |
Advanced energy technology for improving efficiency for lung cancer microwave therapy using microwave antenna
1 Department of Mechanical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand
2 Department of Mechanical Engineering, Faculty of Engineering, Thammasat University, Pathumthani, Thailand
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
In the past, energy technology was often used to analyze the cost-effectiveness of energy use. However, the use of advanced energy technology for improving efficiency has become popular in various applications, such as the medical field. Medical technology has continuously advanced in recent years, aiming to improve medical treatment efficacy while lowering patient hazards. Lung cancer is one of the most dangerous cancers that can affect everyone of any gender or age. One of the emerging and promising technologies for cancer treatment is microwave ablation (MWA). This study presents a computational approach to investigate the use of microwave energy for lung cancer treatment. A realistic three-dimensional model of human lung tissue was developed, and simulations were conducted using the finite element method (FEM). Key variables such as frequency, power, and heating time were systematically analyzed to evaluate their effects on temperature distribution and the treatment efficacy. Simulation results revealed that microwave energy at a frequency of 2.45 GHz produced the highest temperature values, followed by 1.8 GHz and 0.9 GHz, respectively. Notably, the application of 20 W of microwave power was found to reduce the time required for effective tumor ablation. The findings from this research provide valuable insights and a foundational framework for further energy for enhancing clinical treatment planning, enabling more precise and safer cancer therapy.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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