当前位置: X-MOL 学术J. Adv. Res. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Lung cancer dynamics using fractional order impedance modeling on a mimicked lung tumor setup
Journal of Advanced Research ( IF 10.7 ) Pub Date : 2021-01-13 , DOI: 10.1016/j.jare.2020.12.016
Maria Ghita 1, 2 , Dana Copot 1, 2 , Clara M Ionescu 1, 2
Affiliation  

Introduction

As pulmonary dysfunctions are prospective factors for developing cancer, efforts are needed to solve the limitations regarding applications in lung cancer. Fractional order respiratory impedance models can be indicative of lung cancer dynamics and tissue heterogeneity.

Objective

The purpose of this study is to investigate how the existence of a tumorous tissue in the lung modifies the parameters of the proposed models. The first use of a prototype forced oscillations technique (FOT) device in a mimicked lung tumor setup is investigated by comparing and interpreting the experimental findings.

Methods

The fractional order model parameters are determined for the mechanical properties of the healthy and tumorous lung. Two protocols have been performed for a mimicked lung tumor setup in a laboratory environment. A low frequency evaluation of respiratory impedance model and nonlinearity index were assessed using the forced oscillations technique.

Results

The viscoelastic properties of the lung tissue change, results being mirrored in the respiratory impedance assessment via FOT. The results demonstrate significant differences among the mimicked healthy and tumor measurements, (p-values < 0.05) for impedance values and also for heterogeneity index. However, there was no significant difference in lung function before and after immersing the mimicked lung in water or saline solution, denoting no structural changes.

Conclusion

Simulation tests comparing the changes in impedance support the research hypothesis. The impedance frequency response is effective in non-invasive identification of respiratory tissue abnormalities in tumorous lung, analyzed with appropriate fractional models.



中文翻译:

在模拟肺肿瘤设置上使用分数阶阻抗建模的肺癌动力学

介绍

由于肺功能障碍是发生癌症的预期因素,因此需要努力解决在肺癌中应用的局限性。分数阶呼吸阻抗模型可以指示肺癌动力学和组织异质性。

客观的

本研究的目的是研究肺中肿瘤组织的存在如何改变所提出模型的参数。通过比较和解释实验结果,研究了原型强迫振荡技术 (FOT) 设备在模拟肺肿瘤设置中的首次使用。

方法

分数阶模型参数是针对健康和肿瘤肺的机械特性确定的。在实验室环境中对模拟肺肿瘤设置执行了两种协议。使用强迫振荡技术评估呼吸阻抗模型和非线性指数的低频评估。

结果

肺组织的粘弹性变化,结果反映在通过 FOT 的呼吸阻抗评估中。结果证实了模仿的健康和肿瘤测量之间的差异显著(p -值< 0.05 ) 阻抗值和异质性指数。然而,在将模拟肺浸入水或盐水溶液之前和之后,肺功能没有显着差异,表明没有结构变化。

结论

比较阻抗变化的模拟测试支持了研究假设。阻抗频率响应可有效地非侵入性识别肿瘤肺中的呼吸组织异常,并使用适当的分数模型进行分析。

更新日期:2021-01-13
down
wechat
bug