Dental Caries (Diagnosis), Diagnostic Imaging, Optical Imaging, Proximal Dental Caries, Radiographic Image Interpretation, Computer-Assisted, Tooth, Deciduous
Conditions
Keywords
proximal caries, primary molars, Pediatric Patients, Bitewing Radiography, Near-Infrared Light Transillumination, DIAGNOcam, clinical cavitation, children acceptance, Diagnostic accuracy
Brief summary
The goal of this observational study is to compare the diagnostic performance of three detection methods for approximal carious lesions in primary molars among pediatric patients aged 4-10 years. The study focuses on children in three age groups: 4-6 years, 6-8 years, and 8-10 years. The main questions it aims to answer are: * Are the sensitivity, specificity, accuracy, and area under the curve (AUC) different across the three diagnostic techniques (bitewing radiography, near-infrared light transillumination, and their combination)? * Are these diagnostic parameters influenced by patient age? * Which technique yields the highest level of patient acceptance? Researchers will compare the three diagnostic approaches to determine whether age influences diagnostic performance and patient acceptance. Participants will: * Be examined using bitewing radiography and near-infrared light transillumination * Undergo tooth separation for 7 days using orthodontic elastic separators * Receive clinical examination of the target approximal surface * Be asked to rate their experience using the Simplified Facial Pain Scale (S-FPS)
Detailed description
* 58 carious lesions classified as RA2 and RA3 according to the ICDAS II criteria from three groups of 4-6 years, 6-8 years, and 8-10 years pediatric patients will be examined by near-infrared light transillumination * The patient acceptance towards bitewing radiograph and near-infrared light transillumination will be evulated by Simplified Facial Pain Scale (S-FPS) * Diagnostic performance will be assessed by calculating sensitivity, specificity, accuracy, and the area under the curve (AUC) * The diagnostic efficacy of the caries detection methods will be analyzed using repeated measures ANOVA, and patient acceptance will be assessed using the Chi-square test, with statistical significance set at p \< 0.05 and a 95% confidence level.
Interventions
DIAGNOSTIC_TESTBitewing radiograph
Digital radiograph, proximal caries, initial caries
DIAGNOSTIC_TESTNear-infrared light transillumination
DIAGNOcam, proximal caries, initial caries
Sponsors
Mahidol University
Sawanya Prutthithaworn
Study design
Observational model
COHORT
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
4 Years to 10 Years
Healthy volunteers
Yes
Inclusion criteria
* Healthy Children aged 4-10 years * Low risk for periodontal disease * At least one quadrant contains fully erupted, well-aligned adjacent primary molars that are free of restorations, exhibit no clinically visible cavitated caries, demonstrate tooth mobility of grade 2 or less, show no developmental dental anomalies * Bitewing radiographs show at least one radiolucent lesion in the proximal surface of a primary molar classified as RA2 or RA3 according to the ICDAS II radiographic criteria
Exclusion criteria
* Root resorption exceeding two-thirds of the root length * Demonstrate Frankl's behavior rating scale of 1 during either near-infrared light transillumination examination or tooth separation
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Diagnosis performance | From enrollment to clinical examination on day 7th | The diagnostic performance will be described by sensitivity, specificity, accuracy, and the Area Under the Curve (AUC), with values ranging from 0 to 1 for each parameter. * For sensitivity, zero is equivalent to no true positives detected, and 1 indicates all true positives detected * For specificity, zero is equivalent to no true negatives detected, and 1 indicates all true negatives detected * For accuracy, zero is equivalent to all cases misclassified, and 1 indicates all cases correctly classified * For AUC, zero is equivalent to a perfectly incorrect classification, and 1 indicates a perfectly correct classification |
| Age-influenced on diagnostic performance | From enrollment to clinical examination at day 7th | The diagnostic performance for each age group will be described by sensitivity, specificity, accuracy, and the Area Under the Curve (AUC), with values ranging from 0 to 1 for each parameter. * For sensitivity, zero is equivalent to no true positives detected, and 1 indicates all true positives detected. * For specificity, zero is equivalent to no true negatives detected, and 1 indicates all true negatives detected. * For accuracy, zero is equivalent to all cases misclassified, and 1 indicates all cases correctly classified. * For AUC, zero is equivalent to a perfectly incorrect classification, and 1 indicates a perfectly correct classification. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Children's acceptance | From enrollment to examination at day 0 | Children's acceptance will be evaluated using the Simplified Facial Pain Scale (S-FPS), which ranges from 0 to 10. The minimum value is 0, representing no pain, and the maximum value is 10, representing severe pain. |
Countries
Thailand
Contacts
Primary ContactSawanya Prutthithaworn, Ph.D. (Dental biomaterials)
Outcome results
None listed