A CLINICALLY APPLICABLE LASER LUMINESCENCE METHOD FOR THE EARLY DETECTION OF DENTAL CARIES.

1981 ◽  
Author(s):  
H. Bjelkhagen ◽  
F. Sundström
Keyword(s):  
Dental Caries ◽  
Early Detection ◽  
Luminescence Method

scholarly journals Dental Caries among Tasters and Non-Tasters of PTC Substance in Students of Qurna Population

2019 ◽  
Vol 9 (1) ◽  
pp. 82
Author(s):  
Hasna Amir Mohaus
Keyword(s):  
Dental Caries ◽  
Early Detection ◽  
Secondary Students ◽  
Significant Relationship ◽  
Caries Prevention ◽  
Future Research ◽  
Human Populations ◽  
Daily Routine ◽  
Age Group ◽  
Dietary Regimen

Objective: Dental caries is one of the most common diseases found in human populations and it is still prevalent and widespread in all around the world. newer strategies emphasize disease prevention as a model of disease management. For early detection and monitoring of caries rather than treatment Taste has valuable roles in our lives in health and disease. genetic markers such as PTC substance taste ability may represent a useful tool to predict the susceptibility to caries. This study aims to investigate the relationship between the taste ability of phenylthiocarbamide (PTC) substance and dental caries. Materials and Methods: The current study was conducted from November 2017 to April 2018 in Qurna and Madiana population/Basrah/Iraq, PTC taste sensitivity was determined among random sample of (406) student from primary and secondary schools; 216 males and 190 females, their ages ranging from (6-17) years old. For dental caries assessment, dmft/DMFT scores were recorded. Individuals were divided into three groups (low, high and very high) according to their dental caries severity in addition to the free caries individuals. Results: The proportion of tasters were higher as compared to non-tasters in this sample. The results showed an increase in the prevalence of caries among primary(68%) and secondary (57.6%) school’s students respectively and for both of them (64.03%). In primary school; females had an elevated percentage of caries (73.1%) compared to their counterpart males (65%). The results of this study did not show a significant relationship between the taste of PTC substance and dental caries, with equal proportions of caries prevalence among tasters and non-tasters (P > 0.05). However, the results showed significant differences in age effect in the prevalence of dental caries among primary and secondary students as it increased in individuals of the age group (6-12) years compared to the age group (13-17) years. Conclusion: The results of this study did not show a significant relationship between the taste of PTC substance and dental caries. In other hand age have a significant influence especially in primary age school and females were more affected than males. The appearance of the two phenotypes of PTC taste may be due to the involvement of other genes, rather than the PTC gene only, including CA6 gene and its variation , which in turn affects the pH capacity of the saliva, a factor associated with tooth decay. Due to the multifactorial nature of dental caries, the individual’s vulnerability may differ from one to another. In addition, particularly regarding diet, part of the strategy to be adopted can be defined as health promotion by preventing the occurrence of the disease rather than treatment. Integrating a healthy dietary regimen into the daily routine can have a real influence on oral health and can be regarded as a primary step towards caries prevention. future research efforts should continue to emphasize early detection and caries prevention strategies.

Assess A Smartphone App (AICaries) that uses artificial intelligence to detect dental caries in children and provide interactive oral health education: Protocol for design and usability testing (Preprint)

2021 ◽  
Author(s):  
Jin Xiao ◽  
Jiebo Luo ◽  
Oriana Ly-Mapes ◽  
Tong Tong Wu ◽  
Timothy Dye ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Dental Caries ◽  
Early Detection ◽  
Young Children ◽  
Low Income ◽  
Fine Tuning ◽  
Caries Detection ◽  
Smartphone App ◽  
Caries Risk

BACKGROUND Early childhood caries (ECC) is the most common chronic childhood disease, with nearly 1.8 billion new cases per year globally. ECC afflicts approximately 55% of low-income and minority US preschool children, resulting in harmful short- and long-term effects on health and quality of life. Clinical evidence shows that caries is reversible if detected and addressed in its early stages. However, many low-income US children often have poor access to pediatric dental services. In this underserved group, dental caries is often diagnosed at a late stage when extensive restorative treatment is needed. With more than 85% of lower-income Americans owning a smartphone, mHealth tools, such as smartphone application, hold great promise to achieve patient-driven early detection and risk control of ECC. OBJECTIVE This study aims to employ a community-based participatory research strategy to refine and test the usability of an artificial intelligence (AI) -powered smartphone app, AICaries, to be used by children's parents/caregivers for dental caries detection in their children. METHODS Our previous work has led to the prototype of AICaries, which offers AI-powered caries detection using photos of children's teeth taken by the parents' smartphones, interactive caries risk assessment, and personalized education on reducing children's ECC risk. This AICaries study will utilize a 2-step qualitative study design to assess the feedback and usability of the app component, app flow and whether parents can take photo of children’s teeth on their own. Specifically, in Step 1, we will conduct individual usability tests among 10 pairs of end-users (parents with young children) to facilitate app module modification and fine-tuning using Think-aloud and Instant Data Analysis strategies. In Step 2, we will conduct unmoderated field testing for app feasibility and acceptability among 32 pairs of parents with their young children to assess the usability and acceptability of AICaries, including assessing the number/quality of teeth images taken by the parents for their children and parents’ satisfaction. RESULTS The study is funded by the National Institute of Dental and Craniofacial Research, USA. This study received IRB approval and launched in August, 2021. Data collection and analysis are expected to conclude by March 2021 and June 2022, respectively. CONCLUSIONS Using AICaries, parents can use their regular smartphones to take photo of their children’s teeth and detect ECC aided by AICaries, so that they can actively seek treatment for their children at an early and reversible stage of ECC. Using AICaries, parents can also obtain essential knowledge on reducing their children's caries risk. Data from this study will support future clinical trial that evaluates the real-world impact of using this innovative smartphone app on early detection and prevention of ECC among low-income children.

Early detection of dental caries using photoacoustics

2006 ◽  
Author(s):  
K. Kim ◽  
R. Witte ◽  
I. Koh ◽  
S. Ashkenazi ◽  
M. O'Donnell
Keyword(s):  
Dental Caries ◽  
Early Detection

scholarly journals DEVELOPING OF QLF-D FOR EARLY DETECTION OF DENTAL CARIES

2011 ◽  
Vol 38 (4) ◽  
pp. 317-326 ◽  
Author(s):  
Hyung-Ju Park ◽  
Jong-Soo Kim ◽  
Seung-Hoon Yoo ◽  
Ju-Sun Shin
Keyword(s):  
Dental Caries ◽  
Early Detection

scholarly journals Low-Cost Active Thermography using Cellphone Infrared Cameras: from Early Detection of Dental Caries to Quantification of THC in Oral Fluid

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Nakisa Samadi ◽  
Damber Thapa ◽  
Mohammadhossein Salimi ◽  
Artur Parkhimchyk ◽  
Nima Tabatabaei
Keyword(s):  
Dental Caries ◽  
Early Detection ◽  
Oral Fluid ◽  
Low Cost ◽  
Active Thermography ◽  
Infrared Cameras

Clinical validation of the use of fluorescence for the early detection of dental caries

1999 ◽  
Author(s):  
George K. Stookey ◽  
Roger L. Isaacs ◽  
Andrea G. Ferreira Zandona ◽  
Masatoshi Ando ◽  
Carlos Gonzalez ◽  
...  
Keyword(s):  
Dental Caries ◽  
Early Detection ◽  
Clinical Validation
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