微波消融
微波食品加热
烧蚀
材料科学
烧蚀区
生物医学工程
天线(收音机)
抛物面天线
比吸收率
骨组织
电介质
光电子学
医学
物理
内科学
电信
量子力学
计算机科学
作者
M. Radmilović-Radjenović,Dimitrije Radjenovic,Branislav Radjenović
出处
期刊:EPL
[Institute of Physics]
日期:2021-10-01
卷期号:136 (2): 28001-28001
被引量:5
标识
DOI:10.1209/0295-5075/ac2719
摘要
Abstract Microwave ablation becomes a promising thermal modality for treating cancerous tumor cells in patients who are non-surgical candidates. To ensure the destruction of cancer cells with minimal damage to healthy tissue, the elevation of temperature and the evolution of the necrotic tissue need to be controlled. Besides experimental methods, computer modeling evolves into a powerful approach for improving the performance of the ablative treatment. This letter reports on the numerical studies of the microwave ablation effect on the liver, lung, kidney, and bone tumoral tissues. Calculations were performed by using the COMSOL Multiphysic based on a multi-component plasma fluid model. Simulation conditions include the microwave frequency of , the input power of , and taking into account the temperature dependence of dielectric properties of the tissue. The total loss power density, the temperature distribution, the fraction of the tissue damage, and the specific absorption rate have been determined. It was shown that the temperature distribution has an ellipsoidal shape reaching the maximal values required for effective cancer treatment but to avoid damaging healthy cells near the antenna slot. From the degree of tissue injury, the fraction of damage has been estimated revealing that the microwave ablation zones are concentrated around the tip and slot of the antenna. Also, the ablation of the tumor cells can be achieved over a long period without damaging healthy cells when small input power is used. The obtained results confirm that simulations can be very useful for predicting optimal conditions for the minimal damage of the healthy tissue during microwave ablation, and therefore may be implemented into treatment planning.
科研通智能强力驱动
Strongly Powered by AbleSci AI