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Electrical Impedance Tomography Based Closed-loop Tumor Treating Fields in Dynamic Lung Tumors

Authors :
Wang, Minmin
Xie, Xu
Guo, Yuxi
Zhu, Liying
Lan, Yue
Yang, Haitang
Pan, Yun
Chen, Guangdi
Zhang, Shaomin
Zhang, Maomao
Publication Year :
2024

Abstract

Tumor Treating Fields (TTFields) is a non-invasive anticancer modality that utilizes alternating electric fields to disrupt cancer cell division and growth. While generally well-tolerated with minimal side effects, traditional TTFields therapy for lung tumors faces challenges due to the influence of respiratory motion. We design a novel closed-loop TTFields strategy for lung tumors by incorporating electrical impedance tomography (EIT) for real-time respiratory phase monitoring and dynamic parameter adjustments. Furthermore, we conduct theoretical analysis to evaluate the performance of the proposed method using the lung motion model. Compared to conventional TTFields settings, we observed that variations in the electrical conductivity of lung during different respiratory phases led to a decrease in the average electric field intensity within lung tumors, transitioning from end-expiratory (1.08 V/cm) to end-inspiratory (0.87 V/cm) phases. Utilizing our proposed closed-Loop TTFields approach at the same dose setting (2400 mA, consistent with the traditional TTFields setting), we can achieve a higher and consistent average electric field strength at the tumor site (1.30 V/cm) across different respiratory stages. Our proposed closed-loop TTFields method has the potential to improved lung tumor therapy by mitigating the impact of respiratory motion.<br />Comment: 7 pages, 5 figures

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2407.07306
Document Type :
Working Paper