MOS Sensors Array for the Discrimination of Lung Cancer and At-Risk Subjects with Exhaled Breath Analysis

• Published in: Chemosensors Vol. 9; no. 8; p. 209
• Main Authors: Marzorati, Davide, Mainardi, Luca, Sedda, Giulia, Gasparri, Roberto, Spaggiari, Lorenzo, Cerveri, Pietro
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2021
• Subjects: Biomarkers; Classification; Clinical medicine; Clinical trials; Diagnosis; Disease; Electronic noses; exhaled breath; Feasibility studies; Feature extraction; Gas sensors; Gases; Lung cancer; Machine learning; Medical screening; Metal oxides; Mortality; MOS sensors; Organic compounds; Risk management; Sensor arrays; Sensors; Survival; VOCs; Volatile organic compounds; United States > US
• ISSN: 2227-9040; 2227-9040
• DOI: 10.3390/chemosensors9080209

Lung cancer is characterized by a tremendously high mortality rate and a low 5-year survival rate when diagnosed at a late stage. Early diagnosis of lung cancer drastically reduces its mortality rate and improves survival. Exhaled breath analysis could offer a tool to clinicians to improve the abili...