Abstract
Disease specific patterns of volatile organic compounds can be detected in exhaled breath using an electronic nose (e-nose). The aim of this study is to explore whether an e-nose can differentiate between head and neck, and lung carcinoma. Eighty-seven patients received an e-nose measurement before any oncologic treatment. We used PARAFAC/TUCKER3 tensor decomposition for data reduction and an artificial neural network for analysis to obtain binary results; either diagnosed as head and neck or lung carcinoma. Via a leave-one-out method, cross-validation of the data was performed. In differentiating head and neck from lung carcinoma patients, a diagnostic accuracy of 93 % was found. After cross-validation of the data, this resulted in a diagnostic accuracy of 85 %. There seems to be a potential for e-nose as a diagnostic tool in HNC and lung carcinoma. With a fair diagnostic accuracy, an e-nose can differentiate between the two tumor entities.
Original language | English |
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Pages (from-to) | 3897-3903 |
Journal | European Archives of Oto-Rhino-Laryngology |
Volume | 273 |
Issue number | 11 |
DOIs | |
Publication status | Published - Nov 2016 |
Keywords
- Volatile organic compounds
- Electronic nose
- Head and neck carcinoma
- Lung carcinoma
- Diagnosis