Wu Chen, Huang Hangming, Liu Yongfang, Chen Lingchao, Yu Shuangquan, Moser Michael A J, Zhang Wenjun, Fang Zheng, Zhang Bing
Intelligent Energy-based Tumor Ablation Laboratory, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201412, China.
Comput Methods Programs Biomed. 2023 Dec;242:107799. doi: 10.1016/j.cmpb.2023.107799. Epub 2023 Sep 7.
This study aims to demonstrate that the conformal microwave ablation (MWA) of liver tumors could be attained by optimizing the structure of an aperiodic tri-slot coaxial antenna, its insertion depth, and input power.
A computational MWA model with an aperiodic tri-slot coaxial antenna operating at the frequency of 2.45 GHz was built and validated by both an ex vivo and a pilot in vivo experiment with porcine healthy livers. The validated in vivo computational MWA model implemented with a liver tumor was then used as a testbed to investigate the conformal ablation of liver tumors. Five liver tumors in different sizes and shapes were investigated. A genetic algorithm optimization method (NSGA-II) was used to optimize the structure of antenna, insertion depth of antenna, and microwave antenna input power for the conformal ablation of liver tumors.
The validation results showed that a good agreement in both the spatiotemporal temperature distribution and ablation zone was found between the computer model and the ex vivo experiments at both 45 W, 5 min and 60 W, 3 min treatments and the in vivo experiment at 45 W, 5 min treatment. The optimized simulation results confirmed that five cases of liver tumors in different sizes and shapes can be conformally ablated by optimizing the aperiodic tri-slot coaxial antenna, antenna insertion depth, and microwave antenna input power.
This paper demonstrates that the aperiodic tri-slot coaxial antenna can be optimized with the insertion depth and input power for the conformal ablation of liver tumors, regardless the size and shape of liver tumors.
本研究旨在证明，通过优化非周期三槽同轴天线的结构、其插入深度和输入功率，可以实现肝脏肿瘤的适形微波消融（MWA）。
构建了一个工作频率为2.45吉赫兹的非周期三槽同轴天线的微波消融计算模型，并通过对猪健康肝脏进行的离体实验和初步体内实验进行了验证。然后，将通过验证的、植入肝肿瘤的体内微波消融计算模型用作试验台，以研究肝脏肿瘤的适形消融。研究了五个不同大小和形状的肝肿瘤。采用遗传算法优化方法（NSGA-II）对天线结构、天线插入深度和微波天线输入功率进行优化，以实现肝肿瘤的适形消融。
验证结果表明，在45瓦、5分钟和60瓦、3分钟处理时，计算机模型与离体实验在时空温度分布和消融区域方面均有良好的一致性，在45瓦、5分钟处理时与体内实验也有良好的一致性。优化后的模拟结果证实，通过优化非周期三槽同轴天线、天线插入深度和微波天线输入功率，可以对五个不同大小和形状的肝肿瘤进行适形消融。
本文证明，无论肝肿瘤的大小和形状如何，均可通过插入深度和输入功率对非周期三槽同轴天线进行优化，以实现肝肿瘤的适形消融。
