影响微波消融疗效的关键因素分析与优化

Shubhamshree Avishek, S. Samantaray
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引用次数: 1

摘要

微波消融术(MA)已成为一种更好和更有前途的替代药物治疗癌症的原始阶段。MA的主要优势包括器官特异性治疗和治疗≥3cm直径肿瘤的前景,疼痛最小,成本低。过去的研究表明,组织特性和输入参数在MA过程中起着至关重要的作用。因此,我们深入研究了应用功率、血液灌注率、频率、热导率、电导率、相对介电常数等关键参数对肺部MA治疗消融区尺寸的影响。采用基于有限元的数值方法分析了各参数对烧蚀体积的影响。利用统计工具建立回归方程,利用田口L27正交阵列数据得到最大烧蚀区。结果表明,施加功率对响应有显著影响,并呈正相关关系。除功率外,还观察到频率和血流灌注率对治疗过程的影响。得到功率3、频率3、血流灌注率3、电导率3、热导率2、相对介电常数2的最佳设置,最大消融体积为14.35 mm3。本研究的结果对放射科医生和临床医生在初始阶段获得治疗前的数据有很大的帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis and Optimization of Crucial Factors Affecting Efficacy of Microwave Ablation
Microwave Ablation (MA) has emerged as a better and more promising alternative to medicate the primitive stage of cancer. Major advantages of MA include the organ-specific treatment and the prospect of treating ≥ 3 cm diameter tumors with minimal pain and nominal cost. Past studies suggest that tissue properties and input parameters play a vital role during the MA process. Hence, an in-depth study has been made to inspect the influence of these crucial parameters as follows, applied power, perfusion rate of blood, frequency, thermal conductivity, electrical conductivity, and, relative permittivity on the dimension of ablation zone attained while treating with MA on Lungs. The FEM-based analysis with a numerical approach is taken into account to signify the individual impact of the parameters on the ablation volume. Using the statistical tool, a regression equation was formulated and the data derived from the Taguchi L27 orthogonal array helped to get the maximized ablation zone. The results infer that the applied power has a remarkable effect on the response with a positive correlation. Along with the power, frequency, and blood perfusion rate were also observed to influence the treatment process significantly. The following optimal settings Power3, Frequency3, Blood Perfusion Rate3, Electrical Conductivity3, Thermal Conductivity2, and Relative Permittivity2 were found out along with the maximized ablation volume of 14.35 mm3. The results obtained from the present work would be highly helpful for the radiologist and the clinical practitioners to get pre-treatment data during the initial phase.
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