Near-infared hyperspectral imaging of teeth for dental caries detection

2009 ◽  
Vol 14 (6) ◽  
pp. 064047 ◽  
Author(s):  
Christian Zakian ◽  
Iain Pretty ◽  
Roger Ellwood
Keyword(s):  
Dental Caries ◽  
Hyperspectral Imaging ◽  
Caries Detection

Improving Dental Caries Detection by Optimizing Source-Detector Localization Using Laser Diffuse Reflectance

2017 ◽  
Vol 17 (17) ◽  
pp. 1-7
Author(s):  
Ahmed Abdel Gawad ◽  
Ashraf El-Sherif ◽  
Yasser El-Sharkawy ◽  
H. Ayoub ◽  
Mahmoud Hassan
Keyword(s):  
Dental Caries ◽  
Diffuse Reflectance ◽  
Caries Detection

scholarly journals Dental caries among Finnish teenagers participating in physical activity and diet intervention: association with anthropometrics and behavioural factors

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mirja Methuen ◽  
Sofia Kauppinen ◽  
Anna Liisa Suominen ◽  
Aino-Maija Eloranta ◽  
Juuso Väistö ◽  
...  
Keyword(s):  
Physical Activity ◽  
Dental Caries ◽  
Assessment System ◽  
Carbohydrate Intake ◽  
Caries Detection ◽  
Caries Experience ◽  
Food Record ◽  
Fat Percentage ◽  
Teenage Girls ◽  
Behavioural Factors

Abstract Background An association between childhood anthropometric measurements and dental caries is conflicting. The prevalence and severity of dental caries and its association with anthropometric and behavioural factors, were investigated among Finnish teenagers. Methods The study sample comprised 202 15–17-year-old participants in the Physical Activity and Nutrition in Children (PANIC) Study. Dental caries findings were recorded using International Caries Detection and Assessment System (ICDAS) criteria, including activity estimation; numbers of decayed teeth (DT) and decayed, missing and filled teeth (DMFT) were recorded. Body weight, height and waist circumference were measured and respective body mass index (BMI) was calculated. Body fat percentage was assessed by dual-energy X-ray absorptiometry. Health-related behaviours and consumption of food and drinks were assessed using questionnaires, and intake of nutrients using a 4-day food record. Results Mean DMFT for all the participants was 2.4 (SD = 2.9), DT 0.6 (SD = 1.3), and 36% had DMFT = 0. No difference between genders was observed. In bivariate analyses, use of sugar-sweetened beverages (SSB) three times or less per week and not having used snuff associated significantly, whereas higher carbohydrate intake (E%), toothbrushing less often than twice a day and higher caries experience at baseline almost significantly with DT > 0. In adjusted regression analyses, frequent use of SSB and higher carbohydrate intake increased the odds for DT > 0. Additionally, higher carbohydrate intake (E%) and infrequent tooth brushing significantly associated with a higher number of DT. Conclusion Caries prevalence is still low and similar in Finnish teenage girls and boys. Behavioural factors are, but anthropometric factors are not associated with dental caries.

scholarly journals Proof-of-Concept Study on an Automatic Computational System in Detecting and Classifying Occlusal Caries Lesions from Smartphone Color Images of Unrestored Extracted Teeth

Diagnostics ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1136
Author(s):  
Duc Long Duong ◽  
Quoc Duy Nam Nguyen ◽  
Minh Son Tong ◽  
Manh Tuan Vu ◽  
Joseph Dy Lim ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Dental Caries ◽  
Sensitivity And Specificity ◽  
Color Images ◽  
Caries Detection ◽  
Support Vector ◽  
Proof Of Concept ◽  
Computational System ◽  
Occlusal Caries ◽  
Concept Study

Dental caries has been considered the heaviest worldwide oral health burden affecting a significant proportion of the population. To prevent dental caries, an appropriate and accurate early detection method is demanded. This proof-of-concept study aims to develop a two-stage computational system that can detect early occlusal caries from smartphone color images of unrestored extracted teeth according to modified International Caries Detection and Assessment System (ICDAS) criteria (3 classes: Code 0; Code 1-2; Code 3-6): in the first stage, carious lesion areas were identified and extracted from sound tooth regions. Then, five characteristic features of these areas were intendedly selected and calculated to be inputted into the classification stage, where five classifiers (Support Vector Machine, Random Forests, K-Nearest Neighbors, Gradient Boosted Tree, Logistic Regression) were evaluated to determine the best one among them. On a set of 587 smartphone images of extracted teeth, our system achieved accuracy, sensitivity, and specificity that were 87.39%, 89.88%, and 68.86% in the detection stage when compared to modified visual and image-based ICDAS criteria. For the classification stage, the Support Vector Machine model was recorded as the best model with accuracy, sensitivity, and specificity at 88.76%, 92.31%, and 85.21%. As the first step in developing the technology, our present findings confirm the feasibility of using smartphone color images to employ Artificial Intelligence algorithms in caries detection. To improve the performance of the proposed system, there is a need for further development in both in vitro and in vivo modeling. Besides that, an applicable system for accurately taking intra-oral images that can capture entire dental arches including the occlusal surfaces of premolars and molars also needs to be developed.

Status and opportunities for future use of terahertz radiation for clinical applications

2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Carlos Gerardo Trevino-Palacios
Keyword(s):  
Skin Cancer ◽  
Dental Caries ◽  
Cancer Detection ◽  
Terahertz Radiation ◽  
Clinical Applications ◽  
Caries Detection ◽  
Medical Applications ◽  
Fundamental Limitations ◽  
Pharmaceutical Screening ◽  
Skin Cancer Detection

Abstract:An overview of terahertz (THz) development is presented in view of possible medical applications, including details of the current technologies which could be effectively used. Although no clinical THz technologies are currently in use, its principal applicability has been already demonstrated in skin cancer detection and treatment, dental caries detection and pharmaceutical screening. Fundamental limitations of THz studies are highlighted which have to be overcome before clinical applications can be realized.

The Role of the Pediatrician in Dental Caries Detection and Prevention

PEDIATRICS ◽  
1974 ◽  
Vol 54 (2) ◽  
pp. 176-182
Author(s):  
Louis W. Ripa
Keyword(s):  
Dental Caries ◽  
Medical Profession ◽  
Dental Health ◽  
Young Patients ◽  
Preventive Therapy ◽  
Caries Detection ◽  
Acid Attack ◽  
Preventive Program ◽  
Published Evidence ◽  
Tooth Surfaces

Dental caries is a disease that usually begins very early in life and from which few people remain unaffected. However, because caries is associated with local etiologic vectors, it can be controlled. Altering the diet to render it less cariogenic and making tooth surfaces more resistant to acid attack through the use of fluoride are two potent mechanisms of prevention. Pediatricians are in a unique position to contribute to the dental health of their young patients because of the early age at which children are brought to their offices and because mothers are accustomed to accept their recommendations. The pediatrician's role in caries control includes diagnosis, referral, and preventive therapy. Early referral of children who appear dentally healthy as well as those in which there are obvious cavities in the teeth has been stressed. As part of a caries preventive program, a system of systemic fluoride supplementation has been outlined for those children who are not drinking optimally fluoridated water. In addition, food-caries relationships have been discussed and practical suggestions for reducing the cariogenicity of a child's diet have been made. Although toothbrushing is considered a traditional method of caries prevention, it has not been discussed in this article for two reasons. First, published evidence does not conclusively support the premise that toothbrushing per se significantly reduces dental caries. Second, the results of the general efforts of the dental profession to motivate patients to adopt either meticulous or frequent brushing habits have been poor. It would be unrealistic to expect the medical profession to initiate procedures that would significantly alter the behavior of their patients' toothbrushing habits. Toothbrushing in the young child, especially the preschooler, should be regarded as another method for providing topical fluoride to the teeth. Parents should be encouraged to brush their young children's teeth as soon as they erupt. A soft, child-size toothbrush should be employed with a scrubbing motion. An anticariogenic toothpaste§ that has proven effective in controlled clinical trials should be recommended by the pediatrician or his nurse. It is hoped that the mechanisms for influencing children's dental health that were discussed in this article can be incorporated with minimum effort into the normal routine of pediatricians' practices.

Body Mass Index and Association With Caries in School-Aged Children With Orofacial Cleft: A Case-Control Study

2019 ◽  
Vol 57 (2) ◽  
pp. 169-176
Author(s):  
Anna Lena Sundell ◽  
Anna-Karin Nilsson ◽  
Agneta Marcusson ◽  
Carl-Johan Törnhage
Keyword(s):  
Body Mass Index ◽  
Dental Caries ◽  
Body Mass ◽  
Cleft Lip ◽  
Case Control ◽  
Assessment System ◽  
Caries Detection ◽  
Adopted Children ◽  
Cross Sectional ◽  
The Impact

Objective: Data on the association between body mass index (BMI) and dental caries in children with orofacial clefts are sparse. Therefore, studies on the impact of BMI on caries frequency in children with cleft lip and/or palate (CL/P) are of importance. The aim of the current study was to investigate the association between BMI and frequency of dental caries in children with and without CL/P. Height, weight, and BMI in children with CL/P were also compared to controls. Design: This study used a cross-sectional case-control design. Participants: One hundred and thirty-nine 5- and 10-year-old children with CL/P and 299 age-matched controls. Main Outcome Measures: Caries was recorded according to the International Caries Detection and Assessment System. Height and weight were recorded, and BMI was calculated as weight/height2. Results: There was no correlation between BMI and caries frequency. Weight, height, and BMI were significantly lower in all children with CL/P compared to controls. After adjustment for international adoption, only BMI was significantly lower in CL/P children compared to controls. Non-adopted children with CL/P were significantly heavier and longer than adopted children with CL/P. Conclusions: Five- and 10-year-old children with corrected CL/P seemed to have a lower BMI than controls, but there was no association between BMI and caries frequency. Internationally adopted children with CL/P were lighter and shorter than non-adopted CL/P children and controls.

scholarly journals Dental Caries Diagnosis and Detection Using Neural Networks: A Systematic Review

2020 ◽  
Vol 9 (11) ◽  
pp. 3579
Author(s):  
María Prados-Privado ◽  
Javier García Villalón ◽  
Carlos Hugo Martínez-Martínez ◽  
Carlos Ivorra ◽  
Juan Carlos Prados-Frutos
Keyword(s):  
Neural Network ◽  
Systematic Review ◽  
Neural Networks ◽  
Dental Caries ◽  
Near Infrared ◽  
Data Extraction ◽  
Infrared Light ◽  
Caries Detection ◽  
Detection And Diagnosis

Dental caries is the most prevalent dental disease worldwide, and neural networks and artificial intelligence are increasingly being used in the field of dentistry. This systematic review aims to identify the state of the art of neural networks in caries detection and diagnosis. A search was conducted in PubMed, Institute of Electrical and Electronics Engineers (IEEE) Xplore, and ScienceDirect. Data extraction was performed independently by two reviewers. The quality of the selected studies was assessed using the Cochrane Handbook tool. Thirteen studies were included. Most of the included studies employed periapical, near-infrared light transillumination, and bitewing radiography. The image databases ranged from 87 to 3000 images, with a mean of 669 images. Seven of the included studies labeled the dental caries in each image by experienced dentists. Not all of the studies detailed how caries was defined, and not all detailed the type of carious lesion detected. Each study included in this review used a different neural network and different outcome metrics. All this variability complicates the conclusions that can be made about the reliability or not of a neural network to detect and diagnose caries. A comparison between neural network and dentist results is also necessary.

scholarly journals Excessive Weight Gain and Dental Caries Experience among Children Affected by ADHD

2020 ◽  
Vol 17 (16) ◽  
pp. 5870
Author(s):  
Elzbieta Paszynska ◽  
Monika Dmitrzak-Węglarz ◽  
Aleksandra Perczak ◽  
Maria Gawriolek ◽  
Tomasz Hanć ◽  
...  
Keyword(s):  
Body Weight ◽  
Dental Caries ◽  
Assessment System ◽  
Caries Detection ◽  
Caries Experience ◽  
Adhd Group ◽  
Sugar Consumption ◽  
Hip Circumference ◽  
Physical Measurements ◽  
Adhd Children

In recent years, attention has been paid to the co-occurrence of attention deficit hyperactivity disorder (ADHD) and obesity, but results in relation to dental caries outcomes differ. The study was conducted to determine obesity/overweight and dental caries in children suffering from ADHD and to draw comparisons with non-ADHD children. A total of 119 children under 11 years old (8.2 ± 1.2) were enrolled into a cross-sectional study: those with confirmed ADHD (n = 39), and healthy controls (n = 80). The behavioral evaluation included a parent interview directed at sweetened food/drink habits. The clinical evaluation included physical measurements (height, waist, hip circumference, body weight, body mass index (BMI), and dental examination (International Caries Detection and Assessment System—ICDAS). Results showed a higher prevalence of abnormal body weight, hip circumference, and BMI, and a higher frequency of caries (84.6%) in the ADHD group. Significant caries differences for primary (ICDAS 0, 1, 2, 5, 6 scores) and permanent teeth (ICDAS 1, 3 scores) were recorded. The questionnaire pinpointed interplays between sugar consumption and tooth decay, especially for primary dentition. It can be concluded that the consumption of sweetened foods/drinks among ADHD children may lead to an increased rate of overweight, but may also affect oral health. Limiting sugar consumption might be one of the important elements in prevention programmes against dental caries and overweight/obesity.

scholarly journals Multimodal imaging system for dental caries detection

2007 ◽  
Author(s):  
Rongguang Liang ◽  
Victor Wong ◽  
Michael Marcus ◽  
Peter Burns ◽  
Paul McLaughlin
Keyword(s):  
Dental Caries ◽  
Multimodal Imaging ◽  
Imaging System ◽  
Caries Detection
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