<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mohamed, Ehab I</style></author><author><style face="normal" font="default" size="100%">Bruno, Ernesto</style></author><author><style face="normal" font="default" size="100%">Linder, Roland</style></author><author><style face="normal" font="default" size="100%">Alessandrini, Marco</style></author><author><style face="normal" font="default" size="100%">Di Girolamo, Alberto</style></author><author><style face="normal" font="default" size="100%">Siegfried J. Pöppl</style></author><author><style face="normal" font="default" size="100%">Puija, Alberto</style></author><author><style face="normal" font="default" size="100%">De Lorenzo, Antonino</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Novel Method for Diagnosing Chronic Rhinosinusitis based on an Electronic Nose</style></title><secondary-title><style face="normal" font="default" size="100%">Anales otorrinolaringológicos ibero-americanos</style></secondary-title><alt-title><style face="normal" font="default" size="100%">An Otorrinolaringol Ibero Am</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Adult</style></keyword><keyword><style  face="normal" font="default" size="100%">Chronic Disease</style></keyword><keyword><style  face="normal" font="default" size="100%">Electronics</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Rhinitis</style></keyword><keyword><style  face="normal" font="default" size="100%">Sinusitis</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2003</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2003</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">30</style></volume><pages><style face="normal" font="default" size="100%">447-57</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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.</style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/14648925?dopt=Abstract</style></custom1></record></records></xml>