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학술지 Analysis of Volatile Organic Compounds in Exhaled Breath for Lung Cancer Diagnosis using a Sensor System
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저자
장지은, 이대식, 반상우, 오재호, 정문연, 김승환, 박성준, Krishna Persaud, 전상훈
발행일
201802
출처
Sensors and Actuators B : Chemical, v.255 no.Part. 1, pp.800-807
ISSN
0925-4005
출판사
Elsevier
DOI
https://dx.doi.org/10.1016/j.snb.2017.08.057
협약과제
17JS1300, 다중 바이오마커 기반 모바일 다이어트 모니터링 기술 개발, 이대식
초록
Lung cancer is the leading cause of cancer deaths in worldwide. There are many challenges to detect early stage lung cancer in accurate, inexpensive, and non-invasive ways. In this study, we have designed, fabricated, and characterized a sensor system as a novel lung cancer diagnosis tool. In order to investigate the clinical feasibility of the system to detect early stage lung cancer, exhaled breath was collected from 37 patients with non-small cell lung cancer (81.1% of stage I and II) and 48 healthy controls. Three types of samples were collected from each patient; 1) before lung cancer surgery, 2) the first outpatient clinic visit after surgery, and 3) the second outpatient clinic visit after surgery. The sampling schedule from the healthy controls matched that of the lung cancer patients. The volatile organic compounds (VOCs) in the exhaled breath were analyzed by the sensor system. The sensor system consisted of an array of seven metal oxide gas sensors, a gas flow controlling module, heating module, gas adsorption-desorption module and classifiers for data analysis. The result obtained for the first set of samples, using a multilayer perceptron (MLP) for classification indicated a total accuracy of 75.0% with 79.0% of sensitivity and 72.0% of specificity. 93.5% of healthy controls showed nearly unchanged data from the first to the third samples, while 45.2% of lung cancer patients showed definitely changed data from the first to the third samples when analyzed the projection results of original data onto the selected principal components (PCs) obtained from principal component analysis (PCA). The study showed that VOCs in exhaled breath potentially discriminated mostly early stage lung cancer patients before the surgery from healthy volunteers with our sensor system. Furthermore, the prognosis of the lung cancer patients after surgery would be predicted by this system. These results suggest that breath analysis may develop as a novel diagnostic tool for early lung cancer.
키워드
Breath gas, Chemo-resistive sensors, Lung cancer, Volatile organic compounds
KSP 제안 키워드
Cancer patients, Data analysis, Diagnostic tool, Gas flow, Healthy controls, Healthy volunteers, Heating module, Lung cancer diagnosis, Metal oxide gas sensors, Metal-oxide(MOX), Non-invasive