Diagnosis Of Caries Research Articles

Prevalence of Early Childhood Caries among the 3-5-year-old Children in Jeddah, Saudi Arabia.

IntroductionDental caries is a significant dental public health issue and it is the world's most common oral health condition among children. In the Kingdom, the prevalence and severity of early childhood caries has been rising.AimThe aim of the study is to establish the prevalence of early childhood caries among children aged 3-5 years in Jeddah as well as the associated risk factor of visiting a dentist.MethodologyThe research is based on a cross-sectional observational design. Children from both private and public schools were randomly selected from schools in all of Jeddah's regions until a sufficient sample size was attained. For the diagnosis of early childhood caries, the American Academy of Pediatric Dentistry criteria were used.ResultsIn Jeddah, the prevalence of early childhood caries is 57% among children aged 3-5 years.ConclusionCaries in young children is a public health issue. There should be an increased emphasis to the parents that the child should visit the dentist by 12 months of age as recommended by many professional organizations. Regular dental appointments would then help to lessen the caries burden on children at an early age. The Four A's treatment regimen is recommended to aid in the prevention and early detection of early childhood caries.How to cite this articleVanka S, Vanka A, Wali O, et al. Prevalence of Early Childhood Caries among the 3-5-year-old Children in Jeddah, Saudi Arabia. Int J Clin Pediatr Dent 2022;15(S-2):S197-S200.

What is the accuracy of radiographic methods for the diagnosis of early dental caries?

What is the accuracy of radiographic methods for the diagnosis of early dental caries?

Association Between Early Childhood Caries and Obesity among Preschool Children.

Early childhood caries (ECC) and childhood obesity are among the most prevalent health conditions affecting children. ECC is associated with obesity through the common risk factor of sugar consumption. The present study aimed to assess the association between ECC and obesity in preschool children. A cross-sectional study was conducted among 1250 preschool children (698 girls, 552 boys; mean age: 4.3 [1.1] years). The children's body mass index was determined (BMI: weight/height in kg/m2). The World Health Organization criteria were used for the diagnosis of caries. Multivariable logistic regression was used to analyse the relationship between ECC prevalence and childhood obesity. ECC was detected in 929 (74.3%) children. The mean dmft and dmfs was 5.91 (1.13) and 8.92 (2.07), respectively. The multiple regression model showed a statistically significant association between ECC prevalence and obesity with an adjusted odds ratio (OR) of 2.59 (95% CI: 1.88 - 3.57; P = 0.001). The logistic regression model showed that in children with a monthly family income > $2666, sugar consumption, preterm low birth-weight/full-term low birth-weight (PTLBW/FTLBW), and toothbrushing frequency ≤ 1 time/day were statistically significantly associated with ECC prevalence. ECC was positively associated with obesity.

How do dental practitioners, educators and students diagnose and manage caries risk and caries lesions? A COM-B analysis.

The International Caries Classification and Management System (ICCMS™), a comprehensive, evidence-informed, best clinical practice system, comprises a 4D cycle: 1D-Determine risk; 2D-Detect and assess lesions; 3D-Decide on a personalized care plan; and 4D-Do preventive and tooth-preserving care. The aim of this study was to establish how Colombian dental practitioners, educators and students diagnose and manage caries risk and caries lesions using the COM-B model and the ICCMS™ system. A total of 1094 participants (practitioners: n=277; educators: n=212; students: n=605) completed a previously validated 79-item questionnaire which explores, based on the COM-B model, the practitioners' self-reported caries diagnosis and management behaviours. Descriptive statistics, Welch's ANOVAs and multiple linear regressions were computed. All groups generally performed the behaviours within the 4-D categories 'Most of the time' to 'Always' (students: 4.06±0.95; educators: 3.94±0.98; practitioners: 3.86±1.01). The most frequently performed diagnosis behaviours (1D/2D) were for practitioners assessing initial/moderate lesions (4.09±1.01) and for educators and students cleaning teeth before lesion assessment (4.41±0.80 and 4.38±0.77 respectively). The least frequently performed decision/management (3D/4D) behaviour was non-operative care for moderate-caries lesions (when applicable) (practitioners: 2.64±1.23; educators: 2.68±1.17; students: 3.22±1.41). Opportunity (Resources and Relevance) was the best COM-B predictor for diagnostic behaviours, whereas capability and opportunity (Relevance) were the strongest predictors for management behaviours. Colombian practitioners, educators and students diagnose and manage caries risk and caries lesions implementing best practice with a high to very high frequency.

Intelligent System for Detecting Tooth Decay in OPG Images by Image Processing

Introduction: Dental caries and lesions are one of the most common dental diseases worldwide, affecting a high percentage of the world's population. Research has shown that more than 90% of adults have experienced tooth decay, so early detection of dental lesions in the early stages is a major aspect of maintaining dental health.Materials and Methods: In order to diagnose decayed teeth, first, the difference between decayed teeth and healthy teeth was discussed. By first calling the OPG images and removing the inappropriate margins of the image. Then the gray-scale image was converted to binary and after removing the noise, thresholding was performed. Then we found the location of the white spots in the black image and displayed the processed image on the user interface.Results: Computer image processing systems have been developed to be able to process and analyze images with better speed and accuracy. The proposed system has a good performance in diagnosing dental caries and the results show that the proposed system is reliable and optimal and as a clinical decision support system can help dentists in accurate and early diagnosis of dental caries at the initial level of caries.Conclusion: In this article, using the advancement of technology that has been formed in recent years, we were able to provide a solution to facilitate medical science. With the science of image processing, eye errors that may cause problems during the diagnosis and recording of the disease in the process of recovery are significantly reduced.

Evaluation of the Effect of Magnification on Proximal Caries Diagnosis Via Digital Bitewing Radiography

Introduction: identification of proximal caries is a major challenge faced by dentists. Bitewing radiograph is the method commonly used to detect proximal caries. Another method includes the use of magnification in digital bitewing radiograph. The aim of this study was to assess the efficacy of magnification on the diagnosis of proximal caries.
 Materials and Methods: In this descriptive study 40 sound human molars and premolars were selected. Based on the gold standard, the cavities were prepared under contact point on one proximal surface of the tooth. Teeth were mounted and digital bitewing radiographs were taken and images were observed at magnifications 5x, 4x, 3x, 2x, 1x. Every tooth was assessed for caries on a 5 point scale. The data was analyzed by Cochrane- Q test.
 Results: There was a significant difference between the certain sensitivity of proximal caries diagnosis in digital radiography in groups with magnitudes 1, 2 and 3 with magnitude 4 and 5 groups (p value = 0.04). However, between the probable sensitivity (p value = 0.298), definite NVP (p value = 0.496) and probable NVP (p value = 0.819), definite attribute (p value = 0.846) and probability (P) There was no significant difference in proximal caries diagnosis.
 Conclusion: The accuracy in detecting proximal caries increases with a magnification increase and magnification 2x and 3x have the highest diagnostic accuracy but over increased magnification can reduce the accuracy on proximal caries diagnosis.

Sociodemographic, behavioral, and clinical indicators for added value of radiography in caries diagnosis in adolescents: A cross-sectional study

The aim was to assess the value of sociodemographic, behavioral, and clinical characteristics in identifying adolescents who would benefit from radiographs for dental caries detection in a high-caries experience population. In total, 356 adolescents answered a validated questionnaire on sociodemographic characteristics and oral health behavior and were clinically and radiographically examined for caries. The outcome was the benefit arising from radiographs for caries detection at the patient level, defined as the number of surfaces clinically classified as sound but presenting radiolucency. A total of 169 participants (47.5%) benefited from radiographs. One-third of approximal lesions were detected clinically, whereas two-thirds, mostly initial lesions, were detected radiographically only. Adolescents who reported frequent consumption of soft drinks and sugary food, those with D1MFS (noncavitated and cavitated caries experience) ≥12, D5MFS (cavitated caries experience) ≥1, clinically detected approximal lesions, and active caries were significantly more likely to benefit from radiographs (P ≤ .002). Although some indicators showed moderate-to-good sensitivity (consumption of sugary food, caries activity) or specificity (absence of clinically diagnosed approximal lesions), the accuracy of indicators evaluated (isolated or combined) never reached 0.60. The possibility of correctly identifying which adolescents would benefit from radiographs for caries detection purposes was limited in a population with high-caries experience.

Role of Intraoral Scanners in the Detection of Dental Caries: A Review

Dental caries is an irreversible, microbial disease of the tooth which is characterized by demineralisation and dissolution of the hard tissues. Conventional methods such as visual and tactile examination, radiography, laser or light induced fluorescence methods help in the diagnosis of dental caries, though they lack sensitivity. Being an irreversible process, it is important to detect the caries process in its incipient stages. Very recently, intraoral scanners have also found their way through to the detection and diagnosis of dental caries, particularly, the incipient lesions. Use of advanced technology for the detection of dental caries in its incipient stages has enabled a change in the paradigm to minimally invasive dentistry which focuses more on a preventive approach to caries management. This review paper attempts to summarize the available literature on the role of intraoral scanners in caries diagnosis by performing a online search on PubMed, Embase, SCOPUS and MEDLINE databases. Only full text studies authored in English and published in peer reviewed journals between 2010 and 2022 were included in the research. Keywords and terms from both review articles and original research papers were taken. A total of 36 papers were reviewed including full texts and abstracts.

Dental Caries Detection Using Score-Based Multi-Input Deep Convolutional Neural Network

Panoramic and periapical radiograph tools help dentists in diagnosing the most common dental diseases, such as dental caries. Generally, dental caries is manually diagnosed by dentists based on panoramic and periapical images. For several reasons, such as carelessness caused by heavy workload and inexperience, manual diagnosis may cause unnoticeable dental caries. Thus, computer-based intelligent vision systems supported by machine learning and image processing techniques are needed to prevent these negativities. This study proposed a novel approach for the automatic diagnosis of dental caries based on periapical images. The proposed procedure used a multi-input deep convolutional neural network ensemble (MI-DCNNE) model. Specifically, a score-based ensemble scheme was employed to increase the achievement of the proposed MI-DCNNE method. The inputs to the proposed approach were both raw periapical images and an enhanced form of it. The score fusion was carried out in the Softmax layer of the proposed multi-input CNN architecture. In the experimental works, a periapical image dataset (340 images) covering both caries and non-caries images were used for the performance evaluation of the proposed method. According to the results, it was seen that the proposed model is quite successful in the diagnosis of dental caries. The reported accuracy score is 99.13%. This result shows that the proposed MI-DCNNE model can effectively contribute to the classification of dental caries.

Recent advancements in materials in pediatric restorative dentistry

The most common infectious disease affecting the children worldwide is dental caries. It affects children of all races, castes, and creeds. Refined diet and improper oral hygiene increase the risk of caries in children. Meticulous clinical examination and diagnosis of dental caries are an integral part of a comprehensive treatment plan. The factors to be considered include the developmental status of the dentition, caries-risk assessment, the patient's oral hygiene, anticipated parental compliance and likelihood of timely recall, and the child's ability to cooperate for treatment. Restorative science is undergoing great revolutions that are leading the humanity toward a new era of dentistry.

Machine Learning-Based Automatic Identification and Diagnosis of Dental Caries and Calculus Using Hyperspectral Fluorescence Imaging

Machine Learning-Based Automatic Identification and Diagnosis of Dental Caries and Calculus Using Hyperspectral Fluorescence Imaging

Modern instrumental methods for early diagnosis of dental caries

An overview of the existing devices on the world market for detecting foci of demineralization and hidden carious cavities is presented, their capabilities and principle of operation are analyzed. Dental morbidity among the children's population in our country remains high, which is largely due to insufficient attention to the identification and registration of initial foci of enamel demineralization. The study made it possible to evaluate the effectiveness of existing hardware methods for early diagnosis of caries in children and adults.

Hard tissue & soft tissue lasers role in dental caries diagnosis, prevention and treatment- A narrative review

Hard tissue & soft tissue lasers role in dental caries diagnosis, prevention and treatment- A narrative review

A Hybrid Optimization Approach with Deep Learning Technique for the Classification of Dental Caries

Due to the wealth of data available from different radiographic images, detecting dental caries has traditionally been a difficult undertaking. Numerous techniques have been developed to enhance image quality for quicker caries detection. For the investigation of medical images, deep learning has emerged as the preferred methodology. This study provides a thorough examination of the application of deep learning to object detection, segmentation, and classification. It also examines the literature on deep learning-based segmentation and identification techniques for dental images. To identify dental caries, several techniques have been used to date. However, these techniques are inefficient, inaccurate, and unable to handle a sizable amount of datasets. There is a need for a way that can get around these issues since the prior methods failed to do so. In the domains of medicine and radiology, deep convolutional neural networks (CNN) have produced amazing results in predicting and diagnosing diseases. This new field of healthcare research is developing quickly. The current study's objective was to assess the effectiveness of deep CNN algorithms for dental caries detection and diagnosis on radiographic images. The Convolutional Neural Network (CNN) method, which is based on artificial intelligence, is used in this study to introduce hybrid optimal deep learning, which offers superior performance.

Enamel Caries Detection and Diagnosis: An Analysis of Systematic Reviews

Enamel Caries Detection and Diagnosis: An Analysis of Systematic Reviews

Dentist´s attitude and criteria in the diagnosis and treatment of caries lesions: Survey about a clinical case.

BackgroundThe diagnosis of caries, the stage of the disease and the indication of treatment are among the most controversial issues in dentistry. Studies comparing the diagnosis and treatment indication of different professionals show the lack of a unifying criterion in the diagnosis and treatment plan of the disease. The Objectives of this research is to evaluate the attitude of a group of odontostomatologists to a clinical case with lesions compatible with caries, evaluating whether their criteria and attitude in diagnosis and treatment depend on their academic level, years of professional practice, the application of minimal intervention dentistry criteria and the usual practice in conservative restorative treatments. Material and MethodsA survey was applied to dentists registered at the Illustrious Official College of Dentists of the Balearic Islands. The questionnaire was developed by the researchers from a real clinical case. A descriptive statistical analysis was performed of all the generated data and, to evaluate the association between the survey responses and the variables of interest, the χ^2 of independence test was performed. In addition, tests comparing the corresponding proportions were conducted using Fisher’s exact test. ResultsRegarding pit and fissure significant differences were found in the diagnosis in 46 in terms of dentists’ qualifications and in the treatment between the application of minimal intervention dentistry criteria and the usual practice in conservative restorative treatments. No significant differences were found in the other variables analyzed. As regards caries lesions on proximal surfaces, no significant differences were found in the diagnosis or treatment in any of the variables analyzed. ConclusionsThat there is no change in the professional attitude towards the diagnosis and treatment of caries lesions in this group of professionals, having very interventionist criteria and attitudes in all variables analyzed. Key words:Atraumatic restorative treatment, caries detection, demineralization, non-cavitated caries lesions, radiography.

Contributions of school context to caries on anterior teeth: a multilevel analysis.

ABSTRACTOBJECTIVE To investigate whether oral health literacy (OHL) and school context are associated with untreated dental caries on the anterior teeth of adolescents.METHODS A representative cross-sectional study was conducted with 746 students aging 15 to 19 in the city of Campina Grande, Brazil. The guardians answered a questionnaire addressing sociodemographic data and the absence/presence of private health insurance. Two examiners were trained for the diagnosis of dental caries using the Nyvad criteria and the measurement of OHL using the Brazilian Rapid Estimate of Adult Literacy in Dentistry (BREALD-30) (Kappa > 0.80). Contextual aspects of the schools were obtained from the 2017 National School Census. Descriptive statistics were conducted, followed by unadjusted and adjusted robust negative binomial regression for complex samples (p < 0.05).RESULTS The average number of anterior teeth with untreated caries was 0.95 (SD = 1.77). Among individual factors, the male sex (RR = 1.64; 95%CI: 1.24–2.16), inadequate level of OHL (RR = 2.03; 95%CI: 1.13–1.63), marginal level of OHL (RR = 1.87; 95%CI: 1.05–3.33) and not having private health insurance (RR = 1.34; 95%CI: 1.07–1.68) were associated with untreated caries on anterior teeth. Among school contextual factors, the number of students in the classroom (RR = 2.64; 95%CI: 1.78–3.93), number of public oral health services in the district (RR = 0.14; 95%CI: 0.05–0.39) and average income of the district in which the school is located (RR = 0.99; 95%CI: 0.98–0.99) were associated with the outcome.CONCLUSIONS Sociodemographic factors, having private health insurance, OHL, and school context exerted an influence on the occurrence of untreated dental caries on anterior teeth in adolescents aging 15 to 19.

Comparison between indexes for diagnosis and guidance for treatment of dental caries.

The objective of this study was to establish the correlation between an index for caries treatment needs and an index for caries lesions detection and evaluation. A cross-sectional study was performed on three samples of children aged 3 (n = 302), 5 (n = 183), and 11-14 years old (n = 60), attending early childhood centers and schools in the cities of Avellaneda, Rio Grande, and Buenos Aires. Dental caries treatment needs were estimated on every child through the Caries Treatment Needs Index (CTNI) for programming resources allocation. Also, a diagnosis of dental caries was made according to ICDAS II criteria. After the diagnostic procedures, a dental care program was developed. The ICDAS II variable was operationalized by grouping the codes into four categories: G1: code 0; G2: code 1-2; G3: code 3; G4: code 4-5-6. Measures of central tendency and dispersion were calculated for both variables, and the correlation was calculated using the Spearman coefficient. Results revealed that in the group of 3-year-old children, a significant correlation was observed in G1 (rho = -0.822); G2 (rho = 0.330); G3 (rho = 0.509) and G4 (rho = 0.710) between both indexes. For the group of 5-year-old children, a significant correlation was observed in G1 (rho = -0.821); G2 (rho = 0.260); G3 (rho = 0.344) and G4 (rho = 0.840). In the group of children 11-14 years of age, a significant correlation was observed in G1 (rho = -0.692); G3 (rho = 0.437) and G4 (rho = 0.764). The indices analyzed in this study (CTNI and ICDAS II) show reasonable equivalence for use in clinical and epidemiological studies based on the statistical analysis.

Overtreatment in Restorative Dentistry: Decision Making by Last-Year Dental Students.

To evaluate the tendency for overdiagnosis and overtreatment upon different clinical situations among last-year students from the degree in dentistry from Valencia University (Spain) during the 2018–2019 course. A questionnaire consisting of 10 case exemplifications examining the diagnosis, treatment, and clinician’s attitude towards different common clinical situations regarding restorative dentistry was designed. Fifty-two students were surveyed, from whom 42 completed the questionnaire (80.77%). Data were analyzed descriptively. A total of 58.8% of the students correctly identified an early carious lesion in the occlusal surface of a molar, while 63.2% would perform unnecessary complementary tests for its diagnosis. The treatment for carious lesions in different evolutive phases with a vital pulp was correct between 51.2 and 92.7% of the cases. The treatment for irreversible pulp pathology and the restoration of the tooth with root canal treatment were adequately selected in 56.1% and 78.3% of the cases, respectively. For the repair of a faulty restoration, an overtreatment was proposed by 87.8% of the students. A tendency to perform unnecessary complementary tests for caries diagnosis was observed. Treatment caries proposals were in accordance with available evidence in the majority of the cases. Students tended to overtreat defective restorations and would perform unnecessary treatments in medically compromised patients.

Accurate identification and detection of occlusal/smooth early caries using thermal-wave radar imaging (TWRI) technique under low temperature rising condition

Dental caries is a worldwide disease, which will cause adverse effects if it is not treated in time. To accurate detect the early caries, a dental caries recognized approach based on infrared thermal diffusion, titled thermal-wave radar imaging (TWRI) technique was utilized to detect dental caries at an early stage in this present study. One-dimensional (1D) thermal-wave model under linear frequency modulation (or -chirp) thermal flux was built and analyzed the chirp thermal-wave diffusion behavior. In addition, simulated caries environment in vitro was designed and proposed for the treatment of artificial dental caries. Four intact tooth tissues were demineralized with this etching agent for different time on the dental occlusal surface. For the safety of the laser application in clinical trials, the relationship between laser power intensity and dental surface temperature rise has been investigated. When the laser power intensity was controlled within 23.3 W under the irradiation area is 2 mm × 2 mm, the surface temperature rise of dental specimen can be dominated within 5 °C. The comparison experiment between TWRI and lock-in thermography was investigated, and TWRI phase represents a high signal-to noise ratio to the early caries. μCT was utilized to 3D tomography for the dental specimen to obtain the actual caries inside the specimen. The experimental results illustrated that TWRI approach can be used as an effective method for early caries diagnosis.