The most important published studies assessing the efficacy of the e-nose for lung cancer
| First author [ref.] | Year | Lung cancer patients included/total study participants | Type of nose | Result |
| Philips [36] | 2008 | 95/180 | Gas chromatography and mass spectroscopy | Sensitivity: 74%; specificity: 71% |
| Bajtarevic [35] | 2009 | 220/661 | Gas chromatography and mass spectrometry | Sensitivity: 71; specificity: 100% |
| Dragonieri [39] | 2009 | 10/30 | Cyranose | Cross-validation value of 90% correct; sensitivity and specificity not reported |
| D’Amico [40] | 2010 | 28/148 | Gas chromatography and mass spectroscopy | Sensitivity: 85%; specificity: 100% |
| Gasparri [41] | 2016 | 70/146 | Gas sensor array composed of quartz microbalances | Sensitivity: 81%; specificity: 91% |
| Rocco [12] | 2016 | 23/100 | Pneumopipe | Sensitivity: 86%; specificity: 95% |
| De Vries [15] | 2018 | 35/604 | Spironose | Sensitivity 80%; specificity 90% |
| Huang [28] | 2018 | 56/244 | Cyranose | Multiple models Support vector machine Sensitivity: 83%; specificity: 86% |
| Tirzïte [26] | 2018 | 252/475 | Cyranose | Two different models for smokers (sensitivity: 96%; specificity: 92%) and nonsmokers (sensitivity: 96%; specificity: 91%) |
| Kort [27] | 2018 | 144/290 | Aeonose | Multiple models used in the same population Sensitivity: 94%; specificity: 33% (for the NSCLC model) |
| Van de Goor [42] | 2018 | 52/144 | Aeonose | Sensitivity: 83%; specificity: 84% |