ArticleJournal of clinical and experimental dentistry2022
Selfie Dental Plaque Index: A New Tool for Dental Plaque Assessment.
Article in Journal of clinical and experimental dentistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Plaque disclosing agent as a guide in biofilm removal in patients with fixed orthodontic appliance: a randomized clinical trial.Odontology · 2026Article
- AI-enabled predictive, preventive and personalised oral health management: a lightweight patient-centred model for automated assessment of dental plaque and gingival inflammation.The EPMA journal · 2026Article
- Probiotics as an adjunctive therapy in periodontitis treatment-reality or illusion-a clinical perspective.NPJ biofilms and microbiomes · 2024Review
- New Insights Regarding the Use of Relevant Synthetic Compounds in Dentistry.Molecules (Basel, Switzerland) · 2024Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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, 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.
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Registered trials
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