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Detection of Lung Cancer and EGFR Mutation by Electronic Nose System
Monday, October 2, 2017
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Source Name: Journal of Thoracic Oncology
Researchers used a nanomaterial sensor array and pattern recognition statistical techniques to evaluate exhaled breath samples from patients with suspicious lesions on imaging. A total of 119 patients were included, of whom 30 had benign lesions. In cancer patients, the accuracy of discriminating EGFR mutations from wild-type EGFR was 83%. The accuracy of differentiating early stage cancer from benign disease was 87%.
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