Literature DB >> 28925109

Red fluorescence imaging for dental plaque detection and quantification: pilot study.

Zhao Liu1, Juliana Gomez2, Soniya Khan2, Debbie Peru2, Roger Ellwood1.   

Abstract

The red fluorescence of dental plaque originating from porphyrins in oral bacteria may allow visualization, detection, and scoring of plaque without disclosing agents. Two studies were conducted. The first included 24 healthy participants who abstained from oral hygiene for 24 h. Dental plaque was collected from tooth surfaces, and a 10% solution was prepared. These were scanned by a molecular spectrometer to identify the optimum excitation and emission wavelengths of plaque for developing a red fluorescence imaging system. Fourteen healthy subjects completed the second study. After a washout period (1 week), participants had a prophylaxis at baseline and abstained from oral hygiene during the study. They were monitored using the fluorescence imaging system at baseline, 24 h, and 48 h. A dentist clinically assessed plaque after disclosing and on red fluorescence images. Three descriptors were extracted from images and a RUSBoost classifier derived computer fluorescence scores through cross-validation. Red fluorescence plaque levels increased during the 48-h accumulation. Plaque progression was identified by dentist assessment and computer analysis, presenting significant differences between visits at tooth and subject levels (p<0.05). Moderate correlations showed between clinical plaque and red fluorescence plaque (r=0.62 dentist, r=0.55 computer). The best agreement was observed when disclosing plaque threshold at level 2, for both dentist evaluation (sensitivity 71.1%, specificity 67.7%, accuracy 70.2%) and computer classification (sensitivity 68.4%, specificity 62.9%, accuracy 67.1%). Given the correlation with clinical diagnosis, red fluorescence imaging shows its potential for providing an objective and promising method for proper oral hygiene assessment. (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).

Entities:  

Keywords:  RUSBoost classifier; autofluorescence imaging; computer analysis; dental plaque; oral hygiene

Mesh:

Year:  2017        PMID: 28925109     DOI: 10.1117/1.JBO.22.9.096008

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  6 in total

Review 1.  The Dental-BIOfilm Detection TECHnique (D-BioTECH): A Proof of Concept of a Patient-Based Oral Hygiene.

Authors:  Roberta Grassi; Gianna Maria Nardi; Marta Mazur; Roberto Di Giorgio; Livia Ottolenghi; Fabrizio Guerra
Journal:  Medicina (Kaunas)       Date:  2022-04-13       Impact factor: 2.948

2.  Deep learning-based dental plaque detection on primary teeth: a comparison with clinical assessments.

Authors:  Wenzhe You; Aimin Hao; Shuai Li; Yong Wang; Bin Xia
Journal:  BMC Oral Health       Date:  2020-05-13       Impact factor: 2.757

3.  Dorsal tongue porphyrin autofluorescence and Candida saprophytism: A prospective observational study.

Authors:  Massimo Petruzzi; Fedora Della Vella; Andrea Cassandro; Adriana Mosca; Mariasevera Di Comite; Maria Contaldo; Felice Roberto Grassi; Dorina Lauritano
Journal:  PLoS One       Date:  2019-09-26       Impact factor: 3.240

4.  Diagnosis of Biofilm-Associated Peri-Implant Disease Using a Fluorescence-Based Approach.

Authors:  Geelsu Hwang; Markus B Blatz; Mark S Wolff; Liviu Steier
Journal:  Dent J (Basel)       Date:  2021-02-27

5.  Handheld optical coherence tomography for clinical assessment of dental plaque and gingiva.

Authors:  Jungeun Won; Pin-Chieh Huang; Darold R Spillman; Eric J Chaney; Ralf Adam; Malgorzata Klukowska; Ronit Barkalifa; Stephen A Boppart
Journal:  J Biomed Opt       Date:  2020-11       Impact factor: 3.170

6.  Autofluorescence Detection Method for Dental Plaque Bacteria Detection and Classification: Example of Porphyromonas gingivalis, Aggregatibacter actinomycetemcomitans, and Streptococcus mutans.

Authors:  Yung-Jhe Yan; Bo-Wen Wang; Chih-Man Yang; Ching-Yi Wu; Mang Ou-Yang
Journal:  Dent J (Basel)       Date:  2021-06-22
  6 in total

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