Detecting subtypes of non-small cell lung cancer by electronic nose

Sharina Kort, Mayke Tiggeloven, Marjolein Brusse-Keizer, Hugo Schouwink, Frans de Jongh, Emanuel Citgez, Jan Willem Gerritsen, Job van der Palen

Research output: Contribution to journalMeeting AbstractAcademic

Abstract

Introduction: Lung cancer is the leading cause of global cancer mortality. Exhaled-breath analysis of volatile organic compounds (VOC’s), reflecting pathological processes, has the potential to detect non-small cell lung cancer (NSCLC) early in the course of the disease in a non-invasive way, which may improve outcome. Analyses into subtypes of NSCLC, such as adenocarcinoma (AC) and squamous cell carcinoma (SCC) have not been performed extensively yet.

Methods: Subjects diagnosed with AC or SCC and healthy subjects breathed into the Aeonose™ (The eNose Company, Zutphen, Netherlands) for 5 minutes. The diagnostic accuracy was studied in a prospective multicenter study in 81 patients with confirmed AC and 26 patients with confirmed SCC. In the 2 analysis, respectively, 109 and 91 healthy subjects were included. The results were compared with the accuracy to diagnose NSCLC as 1 group. Limited case sample sizes resulted in different group sizes for healthy subjects. Data compression and artificial neural networks were used for the statistical analysis of VOC data.

Results: AC patients had a mean age of 63.0 years and SCC patients had a mean age of 63.5 years. Table 1 shows the diagnostic performance of the Aeonose™ in terms of sensitivity, specificity, negative predictive value and area under the curve for the different groups.

Conclusion: The data suggest that the Aeonose™ can contribute to the early diagnostic workup of lung cancer. When differentiating between subtypes of NSCLC, the diagnostic performance improves.
Original languageEnglish
Article numberPA1761
JournalEuropean respiratory journal
Volume52
DOIs
Publication statusPublished - 15 Sept 2018
Externally publishedYes
EventERS International Congress 2018 - Paris Expo Porte de Versailles, Paris, France
Duration: 15 Sept 201819 Sept 2018

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