Korean Journal of Health Promotion

: J Korean Dent Assoc. 2019;57(4):213-220. Published online April 30, 2019.
DOI: https://doi.org/10.22974/jkda.2019.57.4.002; 형광 차이를 이용한 세균성 치아 침착물의 성숙도 구별; 조무열¹, 이은송², ³, 윤홍철⁴, 김백일⁵; ¹연세대학교 치과대학 예방치과학교실, BK21 플러스 통합구강생명과학 사업단
²연세대학교 치과대학 예방치과학교실, BK21 플러스 통합구강생명과학 사업단
³연세대학교 치과대학 예방치과학교실, BK21 플러스 통합구강생명과학 사업단
⁴강남베스트덴 치과의원
⁵연세대학교 치과대학 예방치과학교실, BK21 플러스 통합구강생명과학 사업단; Classification of maturation of bacterial dental deposits using differences in fluorescence intensity; Mu-Yeol Cho¹, Eun-Song Lee², Elbert de Josselin de Jong³, Hong-Chul Yoon⁴, Baek-Il Kim⁵; ¹Department of Preventive dentistry & Public Oral Health, BK 21 PLUS Project, Yonsei University College of Dentistry
²Department of Preventive dentistry & Public Oral Health, BK 21 PLUS Project, Yonsei University College of Dentistry
³Department of Preventive dentistry & Public Oral Health, BK 21 PLUS Project, Yonsei University College of Dentistry
⁴Kangnam Bestden dental clinic
⁵Department of Preventive dentistry & Public Oral Health, BK 21 PLUS Project, Yonsei University College of Dentistry

Abstract: Purpose
The aim of this study was to evaluate the red fluorescence characteristics of bacterial dental deposits assessed by quantitative light-induced fluorescence (QLF) technology and confirm whether the red fluorescence can distinguish and evaluate quantitatively accumulation of bacterial dental deposits. Methods: This retrospective cross-sectional study used QLF images captured at a dental clinic from January to December 2016. In each QLF image, a skilled examiner selected one region where the presence of deposits was suspected. Then, the regions were classified into three groups of not detectable deposits(ND), half detectable deposits (HD), and full detectable deposits (FD) by two examiners according to classification criteria. Only those images where the regions of bacterial dental deposits were classified identically by all examiners were used for analysis. The mean red fluorescence intensity (RFI) was defined as the mean value of R/G for all pixels in the regions. The RFI was compared between groups using Welch's ANOVA test, and the Spearman correlation was calculated to assess the association between RFI and accumulation of deposits. Results: In this study, 351 images among the collected images of 605 subjects were finally selected. The mean age of subjects was about 44 years. The R/G values of the ND, HD and FD were 0.73, 1.26 and 1.83 respectively. There were significant differences between all groups (p<0.001), and strong positive correlation was identified between the R/G value and the accumulation of deposits (r = 0.90, p<0.001). Conclusion: The intensity of red fluorescence as observed in the QLF images correlated well with the accumulation maturation of the deposits, which indicates that the QLF technology can be used to evaluate the status of oral hygiene.

Keywords :Bacterial dental deposits;Quantitative Light-induced fluorescence;Red fluorescence intensity;