National Research Tomsk State Univ., Russian Federation.
Siberian State Medical Univ., Russian Federation.
J Biomed Opt. 2018 Apr;23(4):1-8. doi: 10.1117/1.JBO.23.4.045001.
The ability to diagnose oral lichen planus (OLP) based on saliva analysis using THz time-domain spectroscopy and chemometrics is discussed. The study involved 30 patients (2 male and 28 female) with OLP. This group consisted of two subgroups with the erosive form of OLP (n = 15) and with the reticular and papular forms of OLP (n = 15). The control group consisted of six healthy volunteers (one male and five females) without inflammation in the mucous membrane in the oral cavity and without periodontitis. Principal component analysis was used to reveal informative features in the experimental data. The one-versus-one multiclass classifier using support vector machine binary classifiers was used. The two-stage classification approach using several absorption spectra scans for an individual saliva sample provided 100% accuracy of differential classification between OLP subgroups and control group.
利用太赫兹时域光谱和化学计量学从唾液分析中诊断口腔扁平苔藓(OLP)的能力。研究涉及 30 名患者(2 名男性和 28 名女性),均患有 OLP。该组由两组组成,一组为 OLP 的糜烂型(n=15),另一组为 OLP 的网状和丘疹型(n=15)。对照组由六名健康志愿者(1 名男性和 5 名女性)组成,他们的口腔黏膜没有炎症,也没有牙周炎。主成分分析用于揭示实验数据中的信息特征。使用支持向量机二进制分类器的一对一多类分类器。使用个体唾液样本的多个吸收光谱扫描的两阶段分类方法,在 OLP 亚组和对照组之间的差异分类中提供了 100%的准确性。