NCT05888935 Detection of Periapical Lesions on Dental Panoramic Radiographs Based on Artificial Intelligence
| NCT ID | NCT05888935 |
| Status | Recruiting |
| Phase | — |
| Sponsor | Centre Hospitalier Régional Metz-Thionville |
| Condition | Periapical Diseases |
| Study Type | OBSERVATIONAL |
| Enrollment | 2,000 participants |
| Start Date | 2022-10-01 |
| Primary Completion | 2027-12-01 |
Eligibility & Interventions
Eligibility Fast-Check
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What to Expect as a Participant
This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.
This trial targets 2,000 participants in total. It began in 2022-10-01 with a primary completion date of 2027-12-01.
⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.
Brief Summary
Dental periapical damages can have various reasons and is reflected by a radiolucent lesion on complementary imaging: angulated retro-alveolar (RA) radiographs, dental panoramic radiographs, and three-dimensional imaging such as computed tomography (CT) or cone-beam computed tomography (CBCT). For the radiographic detection of these deep periodontal lesions, the dental panoramic represents a first approach commonly performed with relatively low radiation. The investigation can be followed by retroalveolar radiology imaging that are more localized and more precise. However, using these techniques, the detection rates of these lesions are low (20% and 36% respectively), it is necessary to use three-dimensional tomographic investigation to be more discriminating (69%). The gold standard imaging for detection of these lesions is CBCT followed by retroalveolar radiography (\~2x less sensitive than CBCT) and panoramic radiography (\~2x less sensitive than RA). Although not a full-thickness radiograph, the dental panoramic has the advantage of being more commonly performed while being less radiating than CBCT and giving a global view of the dental arches on a single image. The detection of periapical lesions is done after a clinical assessment and a visual appreciation of the complementary examinations. The aim of this project is to improve the detection of periapical lesions, by developing an algorithm able to identify them on a panoramic dental radiograph. This algorithm is based on a deep learning system trained with reference data including panoramic dental imaging and CBCT with an acquisition interval of less than 3 months. The model is based on a previous work, will improve the quality of the initial data (using CBCT), using innovative artificial intelligence algorithms (transfer learning).
Eligibility 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.
Contact & Investigator
Marc ENGELS-DEUTSCH, MD
PRINCIPAL INVESTIGATOR
CHR Metz Thionville Hopital de Mercy
Frequently Asked Questions
Who can join the NCT05888935 clinical trial?
This trial is open to participants of all sexes, aged 18 Years or older, studying Periapical Diseases. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.
Is NCT05888935 currently recruiting?
Yes, NCT05888935 is actively recruiting participants. Contact the research team at a.elnar@chr-metz-thionville.fr for enrollment information.
Where is the NCT05888935 trial being conducted?
This trial is being conducted at Metz, France.
Who is sponsoring the NCT05888935 clinical trial?
NCT05888935 is sponsored by Centre Hospitalier Régional Metz-Thionville. The principal investigator is Marc ENGELS-DEUTSCH, MD at CHR Metz Thionville Hopital de Mercy. The trial plans to enroll 2,000 participants.