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通过呼吸分析检测肺癌和癌症阶段,使用自制的电子鼻子设备

Binson V A¹, Philip Mathew², Sania Thomas¹

¹Saintgits College of Engineering, Kottayam, Kerala, India.

Expert review of molecular diagnostics

|February 19, 2024

概括

呼吸学,使用电子鼻子 (e-nose) 来分析呼出的气息挥发性有机化合物 (VOC),显示了肺癌检测的希望. 这种非侵入性方法在识别肺癌患者和对照组中取得了很高的准确性.

科学领域:

呼吸学是一种呼吸学.
代谢学代谢学代谢学
肺部疾病的诊断肺部疾病的诊断

背景情况:

呼吸学是监测和诊断肺部疾病,特别是肺癌的一个新兴领域.
这项研究的重点是利用代谢学方法来分析人类的呼吸,以早期检测肺癌.

研究的目的:

使用代谢学方法开发呼吸痕迹,以快速识别肺癌及其各个阶段.
评估电子鼻子 (e-nose) 系统用于检测肺癌的临床潜力.

主要方法:

开发了一个电子鼻子 (e-nose) 系统,包括五个金属氧化物半导体 (MOS) 气体传感器,一个微控制器和机器学习算法.
这项研究涉及114名肺癌患者和147名健康对照.

主要成果:

在训练阶段,XGBoost分类器模型在区分肺癌与对照中的准确率达到了91.67%.
在验证阶段,该模型在识别肺癌患者和健康对照中显示了83.33%的灵敏度和86.27%的特异性.

结论:

使用电子鼻子技术的呼气挥发性有机化合物 (VOC) 分析显示了作为肺癌新型诊断工具的潜力.
电子鼻子提供了诸如简单,无痛的采样和低成本程序等优势,将其定位为未来有价值的诊断方法.

关键词:

在Xgboost中使用.电子鼻子电子鼻子呼出的呼吸分析.肺癌是一种肺癌.挥发性有机化合物挥发性有机化合物

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