Electrical Impedance Tomography Based Closed-loop Tumor Treating Fields in Dynamic Lung Tumors
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arXiv
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| Format: | Preprint |
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2024
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| author | Wang, Minmin Xie, Xu Guo, Yuxi Zhu, Liying Lan, Yue Yang, Haitang Pan, Yun Chen, Guangdi Zhang, Shaomin Zhang, Maomao |
| author_facet | Wang, Minmin Xie, Xu Guo, Yuxi Zhu, Liying Lan, Yue Yang, Haitang Pan, Yun Chen, Guangdi Zhang, Shaomin Zhang, Maomao |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_07306 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Electrical Impedance Tomography Based Closed-loop Tumor Treating Fields in Dynamic Lung Tumors Wang, Minmin Xie, Xu Guo, Yuxi Zhu, Liying Lan, Yue Yang, Haitang Pan, Yun Chen, Guangdi Zhang, Shaomin Zhang, Maomao Medical Physics Systems and Control 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. |
| title | Electrical Impedance Tomography Based Closed-loop Tumor Treating Fields in Dynamic Lung Tumors |
| topic | Medical Physics Systems and Control |
| url | https://arxiv.org/abs/2407.07306 |