基于人体呼出气体标志物检测的口腔疾病筛查与诊断研究

doi:10.3969/j.issn.0258-8021.2021.02.10

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Abstract This study established a standardized method and procedure to detect volatile sulfide compounds (VSCs) in human exhaled breath by gas chromatography and mass spectrometry (GC-MS) for the first time. By this way, 65 breath samples were collected using airbags, and the concentrations of VSCs were analyzed by GC-MS and instruments currently used in clinical applications, the correlation of which were analyzed. Further, receiver operating characteristic curve (ROC) method was adopted to establish the threshold model of halitosis grade, and the periodontal disease diagnosis models based on linear discriminant analysis, logistic regression, and support vector machine were designed. The results of GC-MS method were correlated with the breath detection instruments (P<0.01). The sensitivity of halitosis grade threshold diagnostic model based on ROC reached 0.897 at present. The sensitivity and specificity of the periodontal disease diagnosis model were 0.733 and 0.771 respectively by logistic regression method. This work validated the feasibility to screen and diagnose oral diseases based on VSCs with good performance. It could be predicted that the combination with other markers of exhaled gas would provide a more simple, non-invasive and rapid diagnostic way for disease diagnosis.

Key words： exhaled breath detection halitosis volatile sulfur compounds oral diseases

Received: 22 May 2020

PACS:

R318

About author:: Member, Chinese Society of Biomedical Engineering

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	Articles by authors
	Xue Yingying
	Zhang Tao
	Yang Tingting
	Chen Yuantao
	Zhang Junyu
	Wan Hao
	Ye Wei
	Wang Ping

Cite this article:

Xue Yingying,Zhang Tao,Yang Tingting, et al. Study on the Screening and Diagnosis of Oral Diseases Based on Volatile Sulfur Compounds in Human Exhaled Breath[J]. Chinese Journal of Biomedical Engineering, 2021, 40(2): 202-209.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2021.02.10 OR http://cjbme.csbme.org/EN/Y2021/V40/I2/202

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