Kim Yu-Rin, Kang Hyun-Kyung
Department of Dental Hygiene, Silla University, 140 Baegyang-daero 700 Beon-gil, Sasang-gu, Busan 46958, Republic of Korea.
Healthcare (Basel). 2023 Jan 11;11(2):217. doi: 10.3390/healthcare11020217.
This study aimed to verify and to validate the correlation between, and validate the assessment of, bacterial activity and the distribution of tongue coating, by analyzing quantitative light-induced fluorescence (QLF) images for the diagnosis of oral malodor. Oral malodor was measured using the Twin Breasor II, and bacterial activity and the distribution of tongue coating were investigated using QLF images. Bacterial activity and the distribution of tongue coating were quantitatively analyzed by dividing the tongue into six areas using the TB01 1.05 software. ROC curves were generated using MedCalc® software to validate the diagnosis of oral malodor, the testing of bacterial activity, and the distribution of tongue coating. Bacterial activity and the distribution of tongue coating showed a very strong association with each other (r = 0.937, p < 0.01), and were significantly higher in the oral malodor group (p < 0.05). The distribution of tongue coating was highly correlated with H2S (r = 0.223, p < 0.01) but not associated with CH3SH. Sensitivity, specificity, and the area under the curve confirmed the high accuracy of this method in assessing bacterial activity and the distribution of tongue coating in the diagnosis of oral malodor. Since QLF images provide significant accuracy during quantitative analysis in the identification of bacterial activity and the distribution of tongue coating, systematic management of tongue coating and reduced oral malodor can be achieved by actively using QLF images and oral malodor measurement.
本研究旨在通过分析用于口腔异味诊断的定量光诱导荧光（QLF）图像，验证并确认细菌活性与舌苔分布之间的相关性，以及验证对细菌活性和舌苔分布的评估。使用Twin Breasor II测量口腔异味，并使用QLF图像研究细菌活性和舌苔分布。使用TB01 1.05软件将舌头分为六个区域，对细菌活性和舌苔分布进行定量分析。使用MedCalc®软件生成ROC曲线，以验证口腔异味的诊断、细菌活性测试和舌苔分布。细菌活性与舌苔分布之间显示出非常强的相关性（r = 0.937，p < 0.01），并且在口腔异味组中显著更高（p < 0.05）。舌苔分布与H2S高度相关（r = 0.223，p < 0.01），但与CH3SH无关。敏感性、特异性和曲线下面积证实了该方法在评估口腔异味诊断中细菌活性和舌苔分布方面的高准确性。由于QLF图像在定量分析细菌活性和舌苔分布时具有显著的准确性，因此通过积极使用QLF图像和口腔异味测量，可以实现对舌苔的系统管理并减少口腔异味。
