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Selfie Dental Plaque Index: A New Tool for Dental Plaque Assessment

BACKGROUND: Plaque quantification indices are frequently used to evaluate personal oral hygiene. Education in self-care and self-diagnosis is effective in prevention and control of both dental and periodontal disease. Mobile technology has become a ubiquitous technology and can be particularly usefu...

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Autores principales: Azevedo, Camila-Lindoni, Henriques, Paulo-Sérgio-Gomes, Pannuti, Claudio-Mendes, Michel-Crosato, Edgard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medicina Oral S.L. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701342/
https://www.ncbi.nlm.nih.gov/pubmed/36458034
http://dx.doi.org/10.4317/jced.59908
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author Azevedo, Camila-Lindoni
Henriques, Paulo-Sérgio-Gomes
Pannuti, Claudio-Mendes
Michel-Crosato, Edgard
author_facet Azevedo, Camila-Lindoni
Henriques, Paulo-Sérgio-Gomes
Pannuti, Claudio-Mendes
Michel-Crosato, Edgard
author_sort Azevedo, Camila-Lindoni
collection PubMed
description BACKGROUND: Plaque quantification indices are frequently used to evaluate personal oral hygiene. Education in self-care and self-diagnosis is effective in prevention and control of both dental and periodontal disease. Mobile technology has become a ubiquitous technology and can be particularly useful in the self-monitoring of health promotion. To evaluate the selfie dental plaque index compared with O´Leary index (DPI) and visible plaque index (VPI). The secondary outcome was to compare full-mouth and anterior teeth plaque index analysis. MATERIAL AND METHODS: A sample of 47 adults were evaluated using a four-stage protocol. All teeth (except third molars) were analyzed for VPI and DPI. A selfie Digital Camera captured the image of the patient’s smile (without and with disclosing solution), which was analyzed using Image J software (ImageJ 1.52a, National Institutes of Health). Adobe Photoshop software (Copyright © 2020 Adobe) was used for individual segmentation. The calculation of the selfie index of visible plaque (SVPI) and disclosed (SDPI) was done through the area with plaque of each image in relation to the total teeth area. RESULTS: Spearman’s correlation test showed a moderate correlation between VPI and SVPI (rho = 0.6, p<0.001), whereas between DPI and SDPI the correlation was weak (rho = 0.2, p = 0.13). The correlation between the plaque index using all the teeth present, showed a strong correlation with the analysis only of the anterior teeth (rho = 0.8, p<0.001). CONCLUSIONS: Our results showed the potential of smiling images as a new tool for quantitative measurements and showed moderate correlation when compared with the visible plaque index. Anterior teeth provided reliable plaque indexes when compared with full mouth analysis. Key words:Dental Plaque Index, dental hygiene, mHealth, health Promotion, oral Health.
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spelling pubmed-97013422022-11-30 Selfie Dental Plaque Index: A New Tool for Dental Plaque Assessment Azevedo, Camila-Lindoni Henriques, Paulo-Sérgio-Gomes Pannuti, Claudio-Mendes Michel-Crosato, Edgard J Clin Exp Dent Research BACKGROUND: Plaque quantification indices are frequently used to evaluate personal oral hygiene. Education in self-care and self-diagnosis is effective in prevention and control of both dental and periodontal disease. Mobile technology has become a ubiquitous technology and can be particularly useful in the self-monitoring of health promotion. To evaluate the selfie dental plaque index compared with O´Leary index (DPI) and visible plaque index (VPI). The secondary outcome was to compare full-mouth and anterior teeth plaque index analysis. MATERIAL AND METHODS: A sample of 47 adults were evaluated using a four-stage protocol. All teeth (except third molars) were analyzed for VPI and DPI. A selfie Digital Camera captured the image of the patient’s smile (without and with disclosing solution), which was analyzed using Image J software (ImageJ 1.52a, National Institutes of Health). Adobe Photoshop software (Copyright © 2020 Adobe) was used for individual segmentation. The calculation of the selfie index of visible plaque (SVPI) and disclosed (SDPI) was done through the area with plaque of each image in relation to the total teeth area. RESULTS: Spearman’s correlation test showed a moderate correlation between VPI and SVPI (rho = 0.6, p<0.001), whereas between DPI and SDPI the correlation was weak (rho = 0.2, p = 0.13). The correlation between the plaque index using all the teeth present, showed a strong correlation with the analysis only of the anterior teeth (rho = 0.8, p<0.001). CONCLUSIONS: Our results showed the potential of smiling images as a new tool for quantitative measurements and showed moderate correlation when compared with the visible plaque index. Anterior teeth provided reliable plaque indexes when compared with full mouth analysis. Key words:Dental Plaque Index, dental hygiene, mHealth, health Promotion, oral Health. Medicina Oral S.L. 2022-11-01 /pmc/articles/PMC9701342/ /pubmed/36458034 http://dx.doi.org/10.4317/jced.59908 Text en Copyright: © 2022 Medicina Oral S.L. https://creativecommons.org/licenses/by/2.5/This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Azevedo, Camila-Lindoni
Henriques, Paulo-Sérgio-Gomes
Pannuti, Claudio-Mendes
Michel-Crosato, Edgard
Selfie Dental Plaque Index: A New Tool for Dental Plaque Assessment
title Selfie Dental Plaque Index: A New Tool for Dental Plaque Assessment
title_full Selfie Dental Plaque Index: A New Tool for Dental Plaque Assessment
title_fullStr Selfie Dental Plaque Index: A New Tool for Dental Plaque Assessment
title_full_unstemmed Selfie Dental Plaque Index: A New Tool for Dental Plaque Assessment
title_short Selfie Dental Plaque Index: A New Tool for Dental Plaque Assessment
title_sort selfie dental plaque index: a new tool for dental plaque assessment
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701342/
https://www.ncbi.nlm.nih.gov/pubmed/36458034
http://dx.doi.org/10.4317/jced.59908
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