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« Previous AbstractData analysis of electronic nose technology in lung cancer: generating prediction models by means of Aethena    Next AbstractImproving lung cancer diagnosis by combining exhaled-breath data and clinical parameters »

Lung Cancer


Title:Multi-centre prospective study on diagnosing subtypes of lung cancer by exhaled-breath analysis
Author(s):Kort S; Tiggeloven MM; Brusse-Keizer M; Gerritsen JW; Schouwink JH; Citgez E; de Jongh FHC; Samii S; van der Maten J; van den Bogart M; van der Palen J;
Address:"Department of Pulmonary Medicine, Medisch Spectrum Twente, Enschede, the Netherlands. Electronic address: s.kort@mst.nl. Department of Pulmonary Medicine, Medisch Spectrum Twente, Enschede, the Netherlands. Medical School Twente, Medisch Spectrum Twente, Enschede, the Netherlands. The eNose Company, Zutphen, the Netherlands. Department of Pulmonary Medicine, Deventer Ziekenhuis, Deventer, the Netherlands. Department of Pulmonary Medicine, Medisch Centrum Leeuwarden, Leeuwarden, the Netherlands. Department of Pulmonary Medicine, Bernhoven Uden, Uden, the Netherlands. Medical School Twente, Medisch Spectrum Twente, Enschede, the Netherlands; Department of Research Methodology, Measurement, and Data Analysis, University of Twente, Enschede, the Netherlands"
Journal Title:Lung Cancer
Year:2018
Volume:20180929
Issue:
Page Number:223 - 229
DOI: 10.1016/j.lungcan.2018.09.022
ISSN/ISBN:1872-8332 (Electronic) 0169-5002 (Linking)
Abstract:"OBJECTIVES: Lung cancer is a leading cause of mortality. Exhaled-breath analysis of volatile organic compounds (VOC's) might detect lung cancer early in the course of the disease, which may improve outcomes. Subtyping lung cancers could be helpful in further clinical decisions. MATERIALS AND METHODS: In a prospective, multi-centre study, using 10 electronic nose devices, 144 subjects diagnosed with NSCLC and 146 healthy subjects, including subjects considered negative for NSCLC after investigation, breathed into the Aeonose (The eNose Company, Zutphen, Netherlands). Also, analyses into subtypes of NSCLC, such as adenocarcinoma (AC) and squamous cell carcinoma (SCC), and analyses of patients with small cell lung cancer (SCLC) were performed. RESULTS: Choosing a cut-off point to predominantly rule out cancer resulted for NSCLC in a sensitivity of 94.4%, a specificity of 32.9%, a positive predictive value of 58.1%, a negative predictive value (NPV) of 85.7%, and an area under the curve (AUC) of 0.76. For AC sensitivity, PPV, NPV, and AUC were 81.5%, 56.4%, 79.5%, and 0.74, respectively, while for SCC these numbers were 80.8%, 45.7%, 93.0%, and 0.77, respectively. SCLC could be ruled out with a sensitivity of 88.9% and an NPV of 96.8% with an AUC of 0.86. CONCLUSION: Electronic nose technology with the Aeonose can play an important role in rapidly excluding lung cancer due to the high negative predictive value for various, but not all types of lung cancer. Patients showing positive breath tests should still be subjected to further diagnostic testing"
Keywords:"Aged Area Under Curve Breath Tests/methods Carcinoma, Non-Small-Cell Lung/diagnosis Electronic Nose Exhalation/physiology Female Humans Lung Neoplasms/*diagnosis/metabolism Male Middle Aged Netherlands Prospective Studies Sensitivity and Specificity Small;"
Notes:"MedlineKort, S Tiggeloven, M M Brusse-Keizer, M Gerritsen, J W Schouwink, J H Citgez, E de Jongh, F H C Samii, S van der Maten, J van den Bogart, M van der Palen, J eng Multicenter Study Research Support, Non-U.S. Gov't Ireland 2018/11/16 Lung Cancer. 2018 Nov; 125:223-229. doi: 10.1016/j.lungcan.2018.09.022. Epub 2018 Sep 29"

 
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