Evaluating a computer model for estimating dental age from X-rays
Assessing the Precision of Convolutional Neural Networks for Dental Age Estimation in an Egyptian Population From Digital Panoramic Radiographs: A Diagnostic Accuracy Study
Cairo University · NCT05901857
This study is testing a computer program that uses X-ray images to see if it can accurately estimate dental age compared to traditional methods and the person's actual age.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 22 (estimated) |
| Ages | 6 Years to 16 Years |
| Sex | All |
| Sponsor | Cairo University (other) |
| Locations | 1 site (Cairo) |
| Trial ID | NCT05901857 on ClinicalTrials.gov |
What this trial studies
This observational study aims to assess the accuracy of a convolutional neural network (CNN) in estimating dental age from digital panoramic radiographs. Participants will have their panoramic radiographs taken, and their chronological age will be calculated as a reference standard. The study will utilize the Willems method for dental age estimation, which involves scoring the development of seven specific teeth. The accuracy of the CNN model will be compared to the traditional dental radiologist's estimations and the established chronological age.
Who should consider this trial
Good fit: Ideal candidates are individuals with all mandibular left permanent teeth visible and no systemic diseases or dental anomalies.
Not a fit: Patients with congenital anomalies, facial asymmetry, or a history of trauma in the dentofacial region may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could improve the precision of dental age estimation, which is crucial for various clinical and legal applications.
How similar studies have performed: While the use of CNNs in medical imaging is gaining traction, this specific application for dental age estimation is relatively novel and has not been extensively tested.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Presence of all mandibular left permanent teeth (except third molars) * Clearly visible root development * No systemic disease * No history of root canal therapy or extraction * No related diseases affecting mandibular development such as cysts or tumors. Exclusion Criteria: * Patients with premature birth * Facial asymmetry * Congenital anomalies * History of trauma or surgery in dentofacial region
Where this trial is running
Cairo
- Rawan Elkassas — Cairo, Egypt (RECRUITING)
Study contacts
- Study coordinator: Rawan Elkassas
- Email: rawanelkassas@gmail.com
- Phone: +201011385738
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Age Problem