gms | German Medical Science

82. Jahresversammlung der Deutschen Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie e. V.

Deutsche Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie e. V.

01.06. - 05.06.2011, Freiburg

Application of an Electronic Nose for diagnosis of Head and Neck cancer

Meeting Abstract

  • corresponding author Kenneth W. Kross - Maastricht University Medical Centre. Department of Otolaryngology/Head and Neck, Maastricht, The Netherlands
  • Nicoline Leunis - Maastricht University Medical Centre, Dep. of Otolaryngology/Head and Neck Surge, Maastricht, The Netherlands
  • Ellen Stobberingh - Maastricht University Medical Centre, Dep. of Microbiology, Maastricht, The Netherlands
  • Bernd Kremer - Maastricht University Medical Centre, Dep. of Otolaryngology/Head and Neck Surge, Maastricht, The Netherlands

Deutsche Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie. 82. Jahresversammlung der Deutschen Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie. Freiburg i. Br., 01.-05.06.2011. Düsseldorf: German Medical Science GMS Publishing House; 2011. Doc11hnod201

DOI: 10.3205/11hnod201, URN: urn:nbn:de:0183-11hnod2014

Veröffentlicht: 19. April 2011

© 2011 Kross et al.
Dieser Artikel ist ein Open Access-Artikel und steht unter den Creative Commons Lizenzbedingungen (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.de). Er darf vervielfältigt, verbreitet und öffentlich zugänglich gemacht werden, vorausgesetzt dass Autor und Quelle genannt werden.


Gliederung

Text

Objective: Electronic nose (e-nose) technology is used in various applications such as in food and beverage industry, monitoring of air quality, detection of explosive and chemical agents. We present preliminary results of volatile organic compounds (VOCs) analysis by e-nose in exhaled breath from patients with Head and Neck Cancer for diagnosis and follow-up.

Material and method: 56 patients with histological confirmed Head and Neck Squamous Cell Carcinoma (HNSCC) were asked to exhale into a 5 litre Tedlar bag. Air samples were analyzed within a period of 2 hours using an e-nose (Diagnose II of C-it Zutphen). Results were compared with a matched group of patients visiting the outpatient clinic for other (benign) diseases.

Results: Logistic regression analysis was used to generate the probability scores for the eceiver operating characteristic curve. An area under the curve of 0.82±0.04 was found. Sensitivity and specificity was depending on the threshold value. A high specificity of 98% and sensitivity of 50% was obtained at a threshold value of 7.5.

Conclusion: The e-nose might have potential for application in the diagnosis of HNSCC due to its rapid, simple, non-invasive nature and high specificity. More studies have to be done to validate use of the e-nose in the diagnostic process.