TY - JOUR T1 - The research on early detection of lung cancer with exhaled volatile organic compounds JF - European Respiratory Journal JO - Eur Respir J VL - 38 IS - Suppl 55 SP - p2789 AU - Yanjie Hu AU - Kejing Ying AU - Enguo Chen AU - Fanglei Liu AU - Yanjie Hu Y1 - 2011/09/01 UR - http://erj.ersjournals.com/content/38/Suppl_55/p2789.abstract N2 - We analyzed exhaled breath VOCs of 243 samples by SPME-GCMS system, including 88 samples of lung cancer, 70 samples of lung benign disease, 85 samples of health person, and further researched the sensitivity and specificity of the diagnostic models based on different combinations of special VOCs by applying statistical approaches, such as cluster analysis or stepwise discriminant analysis. In the end, we selected age, as well as 4 to 6 VOCs, as the diagnostic models for lung cancer, including 2,6-dimethylnaphthalene, palmitic aldehyde, nonadecyl alcohol, etc, basically with high sensitivity and specificity more than 85%. Take one model for example, which is consisted of palmitic aldehyde, nonadecyl alcohol, 2,6-dimethylnaphthalene, age, and so on, its specificity is 94.9%, and 78.7% of early stage lung cancer patients were correctly identificated, however, 31.9% of them were misclassificated to advanced stage. Therefore, this kind of diagnostic model could be applied to early diagnosis of lung cancer, but with poor effect to differentiate stages, which indicates that breath test diagnostic model for lung cancer might be one of the screening and early warning methods, although is not identical well to clinical staging of lung cancer. Furthermore, the study found that several special VOCs expression are associated with pathological classification, lesion locations, surgery and smoking situation. ER -