定量的光誘導蛍光画像の解析による細菌活性と舌苔の分布の評価

Analysis of Quantitative Light-Induced Fluorescence Images for the Assessment of Bacterial Activity and Distribution of Tongue Coating.

抄録

本研究は、口腔内悪臭診断のための定量的光誘導蛍光（QLF）画像の解析により、細菌活動と舌苔の分布の相関関係を検証し、その評価を妥当なものにすることを目的とした。口腔内悪臭をTwin Breasor IIを用いて測定し、QLF画像を用いて細菌活性と舌苔の分布を調査した。TB01 1.05 を用いて舌を 6 分割し，細菌活性と舌苔の分布を定量的に解析した．口腔内悪臭の診断，細菌活性の検査，舌苔の分布を検証するために，MedCalc ソフトウェアを用いて ROC カーブを作成した．細菌活性と舌苔の分布は非常に強い相関を示し（r = 0.937, < 0.01），口腔内悪臭群で有意に高かった（ < 0.05）．舌苔の分布はHSと高い相関を示したが（r = 0.223, < 0.01），CHSHとは相関がなかった．感度，特異度，曲線下面積から，本法が口腔内悪臭の診断において，細菌活性と舌苔の分布を高い精度で評価できることが確認された．QLF 画像は定量解析時に細菌活性と舌苔の分布の同定に大きな精度を示すことから，QLF 画像と口腔内悪臭測定を積極的に活用することで，舌苔の体系的な管理と口腔内悪臭の軽減が可能となる．

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, < 0.01), and were significantly higher in the oral malodor group ( < 0.05). The distribution of tongue coating was highly correlated with HS (r = 0.223, < 0.01) but not associated with CHSH. 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.