A Novel Method for Diagnosing Chronic Rhinosinusitis based on an Electronic Nose

Ernesto Bruno, Roland Linder, Marco Alessandrini, Siegfried J. Pöppl, Alberto Puija, E. I. Mohamed, L. De Girolamo, A. De Lorenzo


The nasal out-breath of persons with chronic nasal and/or paranasal infections may have characteristic strange odors, which in our experience are in most cases related to bacterial and/or fungal infections of the sinuses. The objective of the present study was to examine nasal out-breath samples from patients with chronic rhinosinusitis (CRS) (with or without polyposis) and healthy control volunteers using the electronic-nose (EN) technology. We developed a simple technique for collecting samples of nasal out-breath in disposable sterile plastic sacks with a tight closing seal. The principal component analysis correctly classified all individual EN patterns for CRS patients and misclassified 2 samples from the healthy controls (80.0% successful classification rate). The artificial neural network analysis correctly classified 60.0% of the patterns of both groups. We believe that the use of methodologies based on EN technology, combined with conventional clinical examinations, may improve the diagnosis of chronic rhinosinusitis.
Original languageEnglish
JournalAnales otorrinolaringológicos ibero-americanos
Pages (from-to)447-457
Number of pages11
Publication statusPublished - 01.11.2003


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