Lung Cancer Screening Based on Type-different Sensor Arrays

Abstract In recent years, electronic nose (e-nose) systems have become a focus method for diagnosing pulmonary diseases such as lung cancer. However, principles and patterns of sensor responses in traditional e-nose systems are relatively homogeneous. Less study has been focused on type-different se...

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Autores principales:	Wang Li, Hongying Liu, Dandan Xie, Zichun He, Xititan Pi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/183209445dfc4d1d8b893455184aaa58
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spelling	oai:doaj.org-article:183209445dfc4d1d8b893455184aaa582021-12-02T15:05:19ZLung Cancer Screening Based on Type-different Sensor Arrays10.1038/s41598-017-02154-92045-2322https://doaj.org/article/183209445dfc4d1d8b893455184aaa582017-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-02154-9https://doaj.org/toc/2045-2322Abstract In recent years, electronic nose (e-nose) systems have become a focus method for diagnosing pulmonary diseases such as lung cancer. However, principles and patterns of sensor responses in traditional e-nose systems are relatively homogeneous. Less study has been focused on type-different sensor arrays. In this paper, we designed a miniature e-nose system using 14 gas sensors of four types and its subsequent analysis of 52 breath samples. To investigate the performance of this system in identifying and distinguishing lung cancer from other respiratory diseases and healthy controls, five feature extraction algorithms and two classifiers were adopted. Lastly, the influence of type-different sensors on the identification ability of e-nose systems was analyzed. Results indicate that when using the LDA fuzzy 5-NN classification method, the sensitivity, specificity and accuracy of discriminating lung cancer patients from healthy controls with e-nose systems are 91.58%, 91.72% and 91.59%, respectively. Our findings also suggest that type-different sensors could significantly increase the diagnostic accuracy of e-nose systems. These results showed e-nose system proposed in this study was potentially practicable in lung cancer screening with a favorable performance. In addition, it is important for type-different sensors to be considered when developing e-nose systems.Wang LiHongying LiuDandan XieZichun HeXititan PiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Wang Li Hongying Liu Dandan Xie Zichun He Xititan Pi Lung Cancer Screening Based on Type-different Sensor Arrays
description	Abstract In recent years, electronic nose (e-nose) systems have become a focus method for diagnosing pulmonary diseases such as lung cancer. However, principles and patterns of sensor responses in traditional e-nose systems are relatively homogeneous. Less study has been focused on type-different sensor arrays. In this paper, we designed a miniature e-nose system using 14 gas sensors of four types and its subsequent analysis of 52 breath samples. To investigate the performance of this system in identifying and distinguishing lung cancer from other respiratory diseases and healthy controls, five feature extraction algorithms and two classifiers were adopted. Lastly, the influence of type-different sensors on the identification ability of e-nose systems was analyzed. Results indicate that when using the LDA fuzzy 5-NN classification method, the sensitivity, specificity and accuracy of discriminating lung cancer patients from healthy controls with e-nose systems are 91.58%, 91.72% and 91.59%, respectively. Our findings also suggest that type-different sensors could significantly increase the diagnostic accuracy of e-nose systems. These results showed e-nose system proposed in this study was potentially practicable in lung cancer screening with a favorable performance. In addition, it is important for type-different sensors to be considered when developing e-nose systems.
format	article
author	Wang Li Hongying Liu Dandan Xie Zichun He Xititan Pi
author_facet	Wang Li Hongying Liu Dandan Xie Zichun He Xititan Pi
author_sort	Wang Li
title	Lung Cancer Screening Based on Type-different Sensor Arrays
title_short	Lung Cancer Screening Based on Type-different Sensor Arrays
title_full	Lung Cancer Screening Based on Type-different Sensor Arrays
title_fullStr	Lung Cancer Screening Based on Type-different Sensor Arrays
title_full_unstemmed	Lung Cancer Screening Based on Type-different Sensor Arrays
title_sort	lung cancer screening based on type-different sensor arrays
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/183209445dfc4d1d8b893455184aaa58
work_keys_str_mv	AT wangli lungcancerscreeningbasedontypedifferentsensorarrays AT hongyingliu lungcancerscreeningbasedontypedifferentsensorarrays AT dandanxie lungcancerscreeningbasedontypedifferentsensorarrays AT zichunhe lungcancerscreeningbasedontypedifferentsensorarrays AT xititanpi lungcancerscreeningbasedontypedifferentsensorarrays
_version_	1718388876463046656

Lung Cancer Screening Based on Type-different Sensor Arrays

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