Differentiating head and neck carcinoma from lung carcinoma with an electronic nose: a proof of concept study
| Autor: | Dirk S. Brandsma, Nicoline Leunis, Bernd Kremer, Kenneth W. Kross, Anne-Marie C. Dingemans, Michel R. A. van Hooren |
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| Přispěvatelé: | MUMC+: MA AIOS Keel Neus Oorheelkunde (9), Promovendi ODB, KNO, Pulmonologie, MUMC+: MA Med Staf Spec Longziekten (9), RS: GROW - R2 - Basic and Translational Cancer Biology |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Adult
Male 0301 basic medicine medicine.medical_specialty Pathology Lung Neoplasms Electronic nose Diagnosis Differential 03 medical and health sciences 0302 clinical medicine Predictive Value of Tests Diagnosis Carcinoma medicine Lung carcinoma Humans Volatile organic compounds Head and neck Head and neck carcinoma Aged Lung business.industry Reproducibility of Results General Medicine Middle Aged medicine.disease 030104 developmental biology medicine.anatomical_structure Breath Tests Otorhinolaryngology Exhalation Head and Neck Neoplasms 030220 oncology & carcinogenesis Predictive value of tests Female Radiology Differential diagnosis business Head and Neck |
| Zdroj: | European Archives of Oto-Rhino-Laryngology, 273(11), 3897-3903. Springer European Archives of Oto-Rhino-Laryngology |
| ISSN: | 0937-4477 |
| DOI: | 10.1007/s00405-016-4038-x |
| Popis: | 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. Electronic supplementary material The online version of this article (doi:10.1007/s00405-016-4038-x) contains supplementary material, which is available to authorized users. |
| Databáze: | OpenAIRE |
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