In the treatment of lung cancer, bedside monitoring plays an important role. X-ray computed tomography, as a mostly used technique, cannot provide medical surveillance for lung cancer patients in real-time. In comparison, electrical impedance tomography (EIT) has the potential to solve the issue by visualizing human respiratory system; however, its spatial resolution is too low to locate the real pulmonary lesions. One feasible method is to incorporate priori information into the process of EIT imaging. This study aims to investigate the conductivity characteristics of human lung tissues as priori information. First, the impedance spectra of human lung tissues in surgical operation were measured in time in a measurement system. Then, two- and three-dimensional lung models were established. Finally, the conductivity distribution models of cancerous and normal lung tissues were established. Overall, the conductivity of left lung was larger than that of right lung; the conductivity of lower lobe was larger in left lung, whereas the conductivity of upper lobe was larger in right lung. When tissues became cancerous, the conductivity increased by 33.5% on average, and by 34.8 and 31.4% in the left and right lung, respectively. The conductivity in left lung changed more obviously; and it changed more obviously in posterior basal segment of lower lobe in left lung, as well as at apex in right lung. These conclusions can lay the foundation for the further research of improving the spatial resolution of EIT for lung cancer monitoring.

中文翻译：

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人体肺组织的电导特性

在肺癌的治疗中，床边监测起着重要的作用。X射线计算机断层扫描作为一种最常用的技术，无法为肺癌患者提供实时的医学监测。相比之下，电阻抗断层扫描 (EIT) 有可能通过可视化人类呼吸系统来解决这个问题。然而，它的空间分辨率太低，无法定位真正的肺部病变。一种可行的方法是将先验信息纳入 EIT 成像过程。本研究旨在先验研究人肺组织的电导特性信息。首先，在测量系统中及时测量了外科手术中人体肺组织的阻抗谱。然后，建立了二维和三维肺模型。最后，建立了癌组织和正常肺组织的电导率分布模型。总体而言，左肺电导率大于右肺；左肺下叶电导率较大，右肺上叶电导率较大。当组织癌变时，电导率平均增加 33.5%，左右肺分别增加 34.8% 和 31.4%。左肺电导变化更明显；左肺下叶后基底段变化更明显，右肺心尖部变化更明显。