Using artificial intelligence to detect dental periapical lesions on panoramic radiographs
Detection of Periapical Lesions on Dental Panoramic Images Based on Artificial Intelligence Using Cone Beam Computed Tomography
This study is testing if using artificial intelligence can help dentists find early signs of dental problems on X-rays to improve patient care.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 2000 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Centre Hospitalier Régional Metz-Thionville Academic / other |
| Drugs / interventions | radiation |
| Locations | 1 site (Metz) |
| Trial ID | NCT05888935 on ClinicalTrials.gov |
What this trial studies
This observational study aims to enhance the early diagnosis of periapical lesions using artificial intelligence applied to dental panoramic radiographs. By comparing the detection rates of these lesions through various imaging techniques, including conventional radiography and advanced three-dimensional imaging, the study seeks to identify the most effective methods for early detection. The ultimate goal is to improve patient care by facilitating quicker diagnosis and treatment of these lesions, which can lead to serious health complications if left untreated.
Who should consider this trial
Good fit: Ideal candidates for this study are patients who have undergone both CBCT and panoramic dental imaging within the last three months.
Not a fit: Patients who refuse to participate in the study will not benefit from the findings.
Why it matters
Potential benefit: If successful, this approach could lead to earlier and more accurate diagnoses of periapical diseases, improving patient outcomes.
How similar studies have performed: While the use of artificial intelligence in medical imaging is gaining traction, this specific application for periapical lesions is relatively novel and has not been extensively tested.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients who have had CBCT and panoramic dental imaging with less than 3 months between the two examinations Exclusion Criteria: * Patients who refused to participe in the study.
Where this trial is running
Metz
- CHR Metz-Thionville/Hopital de Mercy — Metz, France (Recruiting)
Study contacts
- Principal investigator: Marc ENGELS-DEUTSCH, MD — CHR Metz Thionville Hopital de Mercy
- Study coordinator: Arpiné EL NAR, PhD
- Email: a.elnar@chr-metz-thionville.fr
- Phone: 0033387557766
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.