Monitoring of caries disease by risk assessments and activity

Abanto, Jenny; Berti, Gabriela Oliveira; Miguita, Lucyene; Bönecker, Marcelo

doi:10.1590/1981-863720160001000103122

Cited by 6 publications

(4 citation statements)

References 43 publications

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“…Due to the dynamic dental disease status, it will be more useful to provide a more precise recall interval. Compared to the cross-sectional study, the longitudinal study is a better option to validate the recall referral recommendation and track the progression of oral health diseases [62,63]. Moreover, linking the survey protocol to other data sources, especially intraoral images [16,54,55], is expected to boost screening accuracy with machine learning and deep learning algorithms.…”

Section: Discussionmentioning

confidence: 99%

Development of short forms for screening children’s dental caries and urgent treatment needs using item response theory and machine learning methods

Xiong,

Marcus,

Maida

et al. 2024

PLoS ONE

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Objectives Surveys can assist in screening oral diseases in populations to enhance the early detection of disease and intervention strategies for children in need. This paper aims to develop short forms of child-report and proxy-report survey screening instruments for active dental caries and urgent treatment needs in school-age children. Methods This cross-sectional study recruited 497 distinct dyads of children aged 8–17 and their parents between 2015 to 2019 from 14 dental clinics and private practices in Los Angeles County. We evaluated responses to 88 child-reported and 64 proxy-reported oral health questions to select and calibrate short forms using Item Response Theory. Seven classical Machine Learning algorithms were employed to predict children’s active caries and urgent treatment needs using the short forms together with family demographic variables. The candidate algorithms include CatBoost, Logistic Regression, K-Nearest Neighbors (KNN), Naïve Bayes, Neural Network, Random Forest, and Support Vector Machine. Predictive performance was assessed using repeated 5-fold nested cross-validations. Results We developed and calibrated four ten-item short forms. Naïve Bayes outperformed other algorithms with the highest median of cross-validated area under the ROC curve. The means of best testing sensitivities and specificities using both child-reported and proxy-reported responses were 0.84 and 0.30 for active caries, and 0.81 and 0.31 for urgent treatment needs respectively. Models incorporating both response types showed a slightly higher predictive accuracy than those relying on either child-reported or proxy-reported responses. Conclusions The combination of Item Response Theory and Machine Learning algorithms yielded potentially useful screening instruments for both active caries and urgent treatment needs of children. The survey screening approach is relatively cost-effective and convenient when dealing with oral health assessment in large populations. Future studies are needed to further leverage the customize and refine the instruments based on the estimated item characteristics for specific subgroups of the populations to enhance predictive accuracy.

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Section: Discussionmentioning

confidence: 99%

Development of short forms for screening children’s dental caries and urgent treatment needs using item response theory and machine learning methods

Xiong,

Marcus,

Maida

et al. 2024

PLoS ONE

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“…4 Risk assessment is defined as the identification of factors known or believed to be associated with a condition or disease for purposes of further diagnosis, prevention, or treatment. 5 At the end of CRA, we will come to know the history and current clinical data of the patient. By eliminating the risk factors before disease occurs, the disease process can be prevented in the immediate future as well as in long term.…”

Section: Antoni Vanmentioning

confidence: 99%

In Vivo Assessment of Plaque Accumulation for Caries Risk in Children

Nagarathna¹,

Aishwarya²

2019

Journal of Health Sciences &Amp; Research

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Introduction: Most approaches to caries viewed that catastrophic change in normal plaque biofilm is responsible for the disease. The behavior and the composition of the biofilm are a reflection of the oral environment, and the caries is a reflection of the adverse changes occurring in that environment. Thus, it is important to identify the plaque biofilm so as to predict the caries risk. Aim: The present study was aimed to determine and compare the role of plaque toward caries risk during their mixed dentition. Materials and methods: Fifty children of 6-12 years age group of both sexes were examined for plaque status of subjects using "Turesky-Gilmore-Glickman modification of the Quigley Hein plaque index" and caries using deft and decayed missing filled index (DMFT) separately and caries risk assessment tool (CAT). Statistical analysis: The data were collected and tabulated and were analyzed using the SPSS software V.22, IBM., Corp. Descriptive analysis of all study variables was done using the number and the frequency for categorical data whereas in terms of mean and standard deviation for continuous data. Results: The high caries risk group demonstrates significantly a higher mean plaque index (PI) score (p = 0.04) and mean dental caries score (p = 0.03) compared to the low and the moderate caries risk group. Conclusion:The present study sample consists of a higher proportion (44%) of the high caries risk group which necessitates oral health promotion specifically adopting the common risk factor approach.

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“…A prevalência da doença é alta, embora nos últimos anos tem se observado o declínio desse índice. É apontada, ainda, como um problema de saúde pública e a maior responsável pela perda de dentes em todas as idades (Abanto, Berti, Miguita& Bonecker, 2016). A destruição gradual patológica do tecido dentário por microrganismos orais afetaindivíduos de diferentes culturas e classes socioeconômicas (Silveira, et al, 2015).…”

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Remoção seletiva de tecido cariado: uma revisão integrativa da literatura

Silva

Andalécio

Andrade

et al. 2021

RSD

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A doença cárie está presente com grande frequência no cotidiano clínico dos cirurgiões-dentistas, sendo sem dúvida, a mais prevalente das lesões. A remoção de tecido cariado e a substituição por materiais restauradores tem sido, há muito tempo, praticado por esses profissionais, porém o método de remoção, com o avanço do conhecimento, tem sido substituído, sobretudo por técnicas mais conservadoras. Sendo assim, o objetivo dessa revisão integrativa da literatura será reunir estudos que comprovem a indicação da remoção seletiva, comparando técnicas, materiais restauradores e taxas de sucesso. Foi realizada uma busca nas bases de dados PubMed, Scielo e Lilacs, tendo como critérios de inclusão: artigos que contemplem o assunto proposto em português e inglês, na íntegra, publicados nos últimos 10 anos, com os decritores: “cárie dentária”, “remoção seletiva de tecido cariado”, “tratamento”. Pode-se concluir que a remoção seletiva do tecido cariado traz impactos positivos no manejo de lesões de cárie profundas e, por carecer de uma técnica simples, minimamente invasiva e com resultados pulpares promissores, tem grandes indicações dentro da filosofia da odontologia de mínima intervenção.

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Monitoring of caries disease by risk assessments and activity

Cited by 6 publications

References 43 publications

Development of short forms for screening children’s dental caries and urgent treatment needs using item response theory and machine learning methods

Development of short forms for screening children’s dental caries and urgent treatment needs using item response theory and machine learning methods

In Vivo Assessment of Plaque Accumulation for Caries Risk in Children

Remoção seletiva de tecido cariado: uma revisão integrativa da literatura

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