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首页> 外文期刊>Thorax: The Journal of the British Thoracic Society >Diagnosis of lung cancer by the analysis of exhaled breath with a colorimetric sensor array.
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Diagnosis of lung cancer by the analysis of exhaled breath with a colorimetric sensor array.

机译：通过比色传感器阵列分析呼出气来诊断肺癌。

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BACKGROUND: The pattern of volatile organic compounds (VOCs) in the exhaled breath of patients with lung cancer may be unique. New sensor systems that detect patterns of VOCs have been developed. One of these sensor systems, a colorimetric sensor array, has 36 spots composed of different chemically sensitive compounds impregnated on a disposable cartridge. The colours of these spots change based on the chemicals with which they come into contact. In this proof of principle study, the ability of this sensor system to detect a pattern of VOCs unique to lung cancer is assessed. METHODS: Individuals with lung cancer, those with other lung diseases and healthy controls performed tidal breathing of room air for 12 min while exhaling into a device designed to draw their breath across a colorimetric sensor array. The colour changes that occurred for each individual were converted into a numerical vector. The vectors were analysed statistically, using a random forests technique, to determine whether lung cancercould be predicted from the responses of the sensor. RESULTS: 143 individuals participated in the study: 49 with non-small cell lung cancer, 18 with chronic obstructive pulmonary disease 15 with idiopathic pulmonary fibrosis 20 with pulmonary arterial hypertension 20 with sarcoidosis and 21 controls. A prediction model was developed using observations from 70% of the subjects. This model was able to predict the presence of lung cancer in the remaining 30% of subjects with a sensitivity of 73.3% and a specificity of 72.4% (p = 0.01). CONCLUSIONS: The unique chemical signature of the breath of patients with lung cancer can be detected with moderate accuracy by a colorimetric sensor array.
机译：背景：肺癌患者呼出气中挥发性有机化合物（VOC）的模式可能是独特的。已经开发了检测VOC模式的新型传感器系统。这些传感器系统之一是比色传感器阵列，具有36个斑点，这些斑点由浸渍在一次性药筒上的不同化学敏感化合物组成。这些斑点的颜色会根据它们所接触的化学物质而变化。在这项原理验证研究中，评估了该传感器系统检测肺癌特有的VOC模式的能力。方法：患有肺癌的个体，患有其他肺部疾病和健康对照的个体在呼出进入旨在通过比色传感器阵列进行呼吸的装置的呼气时，进行潮气呼吸室内空气12分钟。每个人发生的颜色变化都转换为数值向量。使用随机森林技术对载体进行统计分析，以确定是否可以根据传感器的反应预测肺癌。结果：143人参加了该研究：49例非小细胞肺癌，18例慢性阻塞性肺疾病15特发性肺纤维化20例肺动脉高压20结节病和21例对照。使用70％的受试者的观察结果开发了预测模型。该模型能够以73.3％的敏感性和72.4％的特异性预测剩余30％受试者中肺癌的存在（p = 0.01）。结论：通过比色传感器阵列可以以中等准确度检测肺癌患者呼吸的独特化学特征。

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