Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractBreath analysis in detecting epilepsy    Next AbstractDetecting recurrent head and neck cancer using electronic nose technology: A feasibility study »

Eur Arch Otorhinolaryngol


Title:"Feasibility of electronic nose technology for discriminating between head and neck, bladder, and colon carcinomas"
Author(s):van de Goor RM; Leunis N; van Hooren MR; Francisca E; Masclee A; Kremer B; Kross KW;
Address:"Department of Otorhinolaryngology, Head and Neck Surgery, Maastricht University Medical Center, PO Box 5800, 6202 AZ, Maastricht, The Netherlands. rens.vande.goor@mumc.nl. Department of Otorhinolaryngology, Head and Neck Surgery, Maastricht University Medical Center, PO Box 5800, 6202 AZ, Maastricht, The Netherlands. Department of Urology, Maastricht University Medical Center, Maastricht, The Netherlands. Department of Gastroenterology and Hepatology, Maastricht University Medical Center, Maastricht, The Netherlands"
Journal Title:Eur Arch Otorhinolaryngol
Year:2017
Volume:20161011
Issue:2
Page Number:1053 - 1060
DOI: 10.1007/s00405-016-4320-y
ISSN/ISBN:1434-4726 (Electronic) 0937-4477 (Print) 0937-4477 (Linking)
Abstract:"Electronic nose (e-nose) technology has the potential to detect cancer at an early stage and can differentiate between cancer origins. Our objective was to compare patients who had head and neck squamous cell carcinoma (HNSCC) with patients who had colon or bladder cancer to determine the distinctive diagnostic characteristics of the e-nose. Feasibility study An e-nose device was used to collect samples of exhaled breath from patients who had HNSCC and those who had bladder or colon cancer, after which the samples were analyzed and compared. One hundred patients with HNSCC, 40 patients with bladder cancer, and 28 patients with colon cancer exhaled through an e-nose for 5 min. An artificial neural network was used for the analysis, and double cross-validation to validate the model. In differentiating HNSCC from colon cancer, a diagnostic accuracy of 81 % was found. When comparing HNSCC with bladder cancer, the diagnostic accuracy was 84 %. A diagnostic accuracy of 84 % was found between bladder cancer and colon cancer. The e-nose technique using double cross-validation is able to discriminate between HNSCC and colon cancer and between HNSCC and bladder cancer. Furthermore, the e-nose technique can distinguish colon cancer from bladder cancer"
Keywords:"Aged Breath Tests Carcinoma, Squamous Cell/*diagnosis Colonic Neoplasms/*diagnosis Early Detection of Cancer/*instrumentation *Electronic Nose Equipment Design Exhalation Feasibility Studies Female Head and Neck Neoplasms/*diagnosis Humans Male Middle Age;"
Notes:"Medlinevan de Goor, R M G E Leunis, N van Hooren, M R A Francisca, E Masclee, A Kremer, B Kross, K W eng Germany 2016/10/13 Eur Arch Otorhinolaryngol. 2017 Feb; 274(2):1053-1060. doi: 10.1007/s00405-016-4320-y. Epub 2016 Oct 11"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 28-12-2024