Literature DB >> 26474950

Validity and reliability of autofluorescence-based quantification method of dental plaque.

Sun-Young Han1, Bo-Ra Kim2, Hae-Youn Ko2, Ho-Keun Kwon2, Baek-Il Kim3.   

Abstract

BACKGROUND: The aim of this study was to evaluate validity and reliability of autofluorescence-based plaque quantification (APQ) method.
METHODS: The facial surfaces of 600 sound anterior teeth of 50 subjects were examined. The subjects received dental plaque examination using Turesky modified Quigley Hein plaque index (QHI) and Silness & Löe plaque index (SLI). The autofluorescence images were taken before the plaque examination with Quantitative Light-induced Fluorescence-Digital, and plaque percent index (PPI) was calculated. Correlation between two existing plaque indices and the PPI of the APQ method was evaluated to find which level of plaque redness on tooth (ΔR) by the APQ method shows the highest correlation. The area under the ROC curve (AUC) analysis and intra- and inter-examiner reliability tests were performed.
RESULTS: The PPIΔR20 of the APQ method showed a moderate correlation with two existing plaque indices (rho of QHI=0.48, SLI=0.51). This methodology fell in the fair category and it had an excellent reliability. The APQ method also showed possibility to detect heavy plaque with fair validity.
CONCLUSIONS: The APQ method demonstrated excellent reliability, and fair validity, compared with 2 conventional indices. The plaque quantification described has the potential to be used in clinical evaluation of oral hygiene procedures.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Dental plaque; Fluorescence; QLF; Quantification

Mesh:

Year:  2015        PMID: 26474950     DOI: 10.1016/j.pdpdt.2015.10.003

Source DB:  PubMed          Journal:  Photodiagnosis Photodyn Ther        ISSN: 1572-1000            Impact factor:   3.631


  3 in total

1.  Oral health status of inpatients with varying physical activity limitations in rehabilitation wards: A cross-sectional study.

Authors:  So Jung Mun; Hyun Sun Jeon; Eun Sil Choi; Ree Lee; Sung Hoon Kim; Sun Young Han
Journal:  Medicine (Baltimore)       Date:  2021-08-13       Impact factor: 1.817

2.  Comparison of Quantitative light-induced fluorescence-digital (QLF-D) images and images of disclosed plaque for planimetric quantification of dental plaque in multibracket appliance patients.

Authors:  Katharina Klaus; Tabea Glanz; Alexander Georg Glanz; Carolina Ganss; Sabine Ruf
Journal:  Sci Rep       Date:  2020-03-11       Impact factor: 4.379

3.  DenTiUS Plaque, a Web-Based Application for the Quantification of Bacterial Plaque: Development and Usability Study.

Authors:  Nicolás Vila-Blanco; Vicente Freire; Carlos Balsa-Castro; Inmaculada Tomás; María J Carreira
Journal:  J Med Internet Res       Date:  2020-09-03       Impact factor: 5.428

  3 in total

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