Journal Article Ppublish 15 citations
PubMed: 32949788 DOI: 10.1016/j.pdpdt.2020.102011
Clinical assessment of an automated fluorescent plaque index scoring with quantitative light-induced fluorescence.
Photodiagnosis Photodyn Ther 32:102011
Authors: Seok-Woo Park, Dono Kahharova, Joo-Young Lee, Eun-Song Lee, Elbert de Josselin de Jong, Bakhtinur Khudanov, Baek-Il Kim
Affiliations
- Department of Preventive Dentistry & Public Oral Health, BK21 PLUS Project, Yonsei University College of Dentistry, Seoul, Republic of Korea.
- Department of Preventive Dentistry, Academic Centre for Dentistry Amsterdam (ACTA), Amsterdam, the Netherlands.
- Department of Preventive Dentistry & Public Oral Health, BK21 PLUS Project, Yonsei University College of Dentistry, Seoul, Republic of Korea; Department of Health Service Research, University of Liverpool, Liverpool, United Kingdom; Inspektor Research Systems BV, Amsterdam, the Netherlands.
- Department of Preventive Dentistry, Tashkent State Dental Institute, Tashkent, Uzbekistan.
- Department of Preventive Dentistry & Public Oral Health, BK21 PLUS Project, Yonsei University College of Dentistry, Seoul, Republic of Korea.
Abstract
OBJECTIVE
The aims of this study were to evaluate the clinical applicability of a new fluorescent plaque index scoring (FPI) with the Turesky modified Quigley-Hein plaque index (mQH) and to evaluate its relationship with plaque maturity.
METHODS
In total 69 subjects participated in this study. White-light and fluorescent images of anterior teeth were acquired using a Qraycam (AIOBIO, Seoul, Korea). FPI was obtained from fluorescent images using the proprietary software (Q-Ray v.1.39, Inspektor Research System BV, Amsterdam, The Netherlands). Teeth were stained with a two-tone disclosing agent. mQH was used to manually score the combined red and blue disclosed plaque (Combi-mQH) and blue disclosed plaque (Blue-mQH) with the white-light images. Linear relationships between FPI and Combi-mQH (or Blue-mQH) were evaluated by using simple linear regression analysis. Differences of Combi-mQH (or Blue-mQH) with respect to FPI scores were statistically evaluated by using ANOVA with Duncan post hoc correction.
RESULTS
FPI showed a moderate positive correlation with Combi-mQH (r = 0.66, P < 0.001) and a high positive correlation with Blue-mQH (r = 0.78, P < 0.001). The model explanatory power (R) between FPI and Blue-mQH was 60.8 %, which is 16.8 % higher than the explanatory power observed with Combi-mQH (44.0 %). Both Combi-mQH and Blue-mQH increased significantly with increasing FPI score (P < 0.001).
CONCLUSION
In this study we found that the FPI scoring system can be used to detect plaque and quantitatively distinguish plaque levels. In addition, FPI was determined to be useful in clinic because of its ability to detect and distinguish old and mature plaque.
MeSH
Phototherapy, Quantitative Light-Induced Fluorescence
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