Detection of lung cancer with electronic nose and logistic regression analysis
Lung cancer is a very common malignancy with a low five-year survival rate. Artificial olfactory
sensor (electronic nose) is a tool that recently has been studied as a probable optimal screening
tool for early detection of lung cancer, but still no statistical method has been put forward as the
preferable one. The aim of the study was to explore the use of logistic regression analysis (LRA) to
analyse patients ’ exhaled breath samples with electronic nose in order to differentiate lung cancer
patients (regardless of the stage of the cancer) from patients with other lung diseases and healthy
individuals. Patients with histologically or cytologically verified, untreated lung cancer, patients
with other lung diseases such as benign lung tumors, chronic obstructive pulmonary disease, asthma,
pneumonia, etc, and healthy volunteers were enrolled in the study, in total 252 cancer patients and
223 patients without cancer. Breath sample collection and analysis were performed with Cyranose...
Source: Journal of Breath Research - Category: Respiratory Medicine Authors: Madara Tirz ïte, Māris Bukovskis, Gunta Strazda, Normunds Jurka and Immanuels Taivans Source Type: research
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