Detecting recurrent head and neck cancer using electronic nose technology: A feasibility study

Background The aim of this feasibility study was to assess the diagnostic performance of an electronic nose (e‐nose) as a noninvasive diagnostic tool in detecting locoregional recurrent and/or second (or third) primary head and neck squamous cell carcinoma (HNSCC) after curative treatment. Methods U...

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Bibliographic Details
Published in:	Head & neck Vol. 41; no. 9; pp. 2983 - 2990
Main Authors:	Goor, Rens M. G. E., Hardy, Joey C. A., Hooren, Michel R. A., Kremer, Bernd, Kross, Kenneth W.
Format:	Journal Article
Language:	English
Published:	Hoboken, USA John Wiley & Sons, Inc 01-09-2019 Wiley Subscription Services, Inc
Subjects:	Aged Breath Tests Carcinoma, Squamous Cell - diagnosis diagnostics Electronic Nose Electronic noses Feasibility Studies Female Head & neck cancer Head and Neck Neoplasms - diagnosis head and neck squamous cell carcinoma Humans Male Middle Aged Neoplasm Recurrence, Local - diagnosis Neoplasms, Second Primary - diagnosis Netherlands Neural Networks, Computer Organic compounds Original recurrent head and neck cancer Squamous cell carcinoma VOCs Volatile Organic Compounds Netherlands diagnostics electronic nose recurrent head and neck cancer volatile organic compounds head and neck squamous cell carcinoma
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Summary:	Background The aim of this feasibility study was to assess the diagnostic performance of an electronic nose (e‐nose) as a noninvasive diagnostic tool in detecting locoregional recurrent and/or second (or third) primary head and neck squamous cell carcinoma (HNSCC) after curative treatment. Methods Using an e‐nose (Aeonose, The eNose Company, Zutphen, The Netherlands), breath samples were collected from patients after curative treatment of an HNSCC with a locoregional recurrence or second (or third) primary tumor (N = 20) and from patients without evidence of recurrent disease (N = 20). Analyses were performed utilizing artificial neural networking based on patterns of volatile organic compounds. Results A diagnostic accuracy of 83% was observed in differentiating follow‐up patients with locoregional recurrent or second (or third) primary HNSCC from those without evidence of disease. Conclusion This study has demonstrated the feasibility of using an e‐nose to detect locoregional recurrent and/or second (or third) primary HNSCC.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1043-3074 1097-0347
DOI:	10.1002/hed.25787