Department of Electronic Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Roma, Italy.
Lung Cancer. 2010 May;68(2):170-6. doi: 10.1016/j.lungcan.2009.11.003. Epub 2009 Dec 2.
The use of gas sensor arrays as medical diagnosis instruments has been proposed several years ago. Since then, the idea has been proven for a limited number of diseases. The case of lung cancer is particularly interesting because it is supported by studies that have shown the correlation between the composition of breath and the disease. However, it is known that many other diseases can alter the breath composition, so for lung cancer diagnosis it is necessary not only to detect generic alterations but those specifically consequent to cancer. In this paper an experiment, performed in the bronchoscopy unit of a large hospital, aimed at discriminating between lung cancer, diverse lung diseases and reference controls is illustrated. Results show not only a satisfactory identification rate of lung cancer subjects but also a non-negligible sensitivity to breath modification induced by other affections. Furthermore, the effects of some compounds frequently found in the breath of lung cancer subjects have also been studied. Results indicate that breath samples of control individuals drift towards the lung cancer group when added with either single or mixtures of these alleged cancer-related compounds.
气体传感器阵列作为医学诊断仪器的应用在数年前就已经被提出。从那以后,该想法已经在有限数量的疾病中得到证实。肺癌的情况特别有趣,因为它得到了研究的支持,这些研究表明了呼吸成分与疾病之间的相关性。然而,已知许多其他疾病也会改变呼吸成分,因此,对于肺癌诊断,不仅需要检测一般的变化,还需要检测与癌症相关的特定变化。本文介绍了在一家大医院的支气管镜检查室进行的一项实验,旨在区分肺癌、多种肺部疾病和参考对照组。结果不仅表明对肺癌患者的识别率令人满意,而且对其他疾病引起的呼吸变化也具有相当的敏感性。此外,还研究了在肺癌患者呼吸中经常发现的一些化合物的影响。结果表明,当将这些被认为与癌症相关的化合物中的一种或混合物添加到对照组的呼吸样本中时,对照组的呼吸样本会向肺癌组漂移。