Lung cancer identification by the analysis of breath by means of an array of non-selective gas sensors
Lung cancer identification by the analysis of breath by means of an array of non-selective gas sensors
复制标题
DOI：
10.1016/s0956-5663(03)00086-1
复制
发表时间：
2003-09-01
影响因子：
12.6
通讯作者：
D'Amico, A
中科院分区：
文献类型：
--
作者：
Di Natale, C;Macagnano, A;D'Amico, A
先前的发现表明，肺癌患者的呼吸成分中含有可用于检测疾病的信息。这些挥发物主要是烷烃和芳香族化合物。传感器阵列技术（电子鼻）被证明可用于筛选具有不同顶空成分特征的样品。在这里，我们研究了使用电子鼻检查呼出空气中存在的挥发性化合物是否可以诊断肺癌的可能性。收集呼吸样本并立即通过电子鼻进行分析。共有 60 人参与了该实验。其中 35 人患有肺癌。 18 名个体进行了测量作为参考，9 名个体在手术治疗后进行了测量。两个人被测量了两次。手术治疗前后，总共进行了 62 次测量。使用的电子鼻由八个涂有不同金属卟啉的石英微天平（QMB）气体传感器组成。这些传感器对先前被认为可能是呼吸中肺癌标志物的化合物表现出良好的敏感性。 “偏最小二乘判别分析”(PLS-DA) 的应用发现，肺癌患者的分类率为 100%，参考文献的分类率为 94%。在 44% 的病例中，手术后患者的类别被正确分类，而其他样本则被分类为健康参考。肺癌的存在引起的呼吸成分的改变足以完全识别患病个体的样本。需要进行扩展研究来评估该方法的分辨率，即可以识别疾病的阶段，以便使用该仪器进行早期诊断。 (C) 2003 Elsevier Science B.V. 保留所有权利。
Previous finding shown that the composition of the breath of patients with lung cancer contains information that could be used to detect the disease. These volatiles are mainly alkanes and aromatic compounds. Sensor arrays technology (electronic nose) proved to be useful to screen samples characterised by different headspace composition. Here we investigated the possibility of using an electronic nose to check whether volatile compounds present in expired air may diagnose lung cancer. Breath samples were collected and immediately analysed by an electronic nose. A total of 60 individuals were involved in the experiment. 35 of them were affected by lung cancer. 18 individuals were measured as reference and nine were measured after the surgical therapy. Two individuals were measured twice. before and after the surgical therapy, fora total of 62 measurements. An electronic nose, composed by eight quartz microbalance (QMB) gas sensors, coated with different metalloporphyrins, was used. These sensors show a good sensitivity towards those compounds previously indicated as possible lung cancer markers in breath. The application of a 'partial least squares-discriminant analysis' (PLS-DA) found out a 100% of classification of lung cancer affected patients, 94% of reference was correctly classified. The class of post-surgery patients were correctly individuated in 44% of the cases, while the other samples were classified as healthy references. The alteration of breath composition induced by the presence of lung cancer was enough to allow a complete identification of the sample of diseased individuals. Extended studies are necessary to evaluate the resolution of the method, namely the stage at which the disease may be identified in order to use this instrument for early diagnosis. (C) 2003 Elsevier Science B.V. All rights reserved.