Periapical LesionAINCT07319182
Accuracy of Artificial Intelligence Technology in Detecting Periapical Lesions in Human Teeth.
A study testing Cone beam computed tomography and artificial intelligence software in people with Periapical Lesion, run by Future University in Egypt at 1 site in Egypt.
Trial summary
Aims to evaluate the accuracy of using Artificial intelligence software in detecting the presence of periapical lesion compared to CBCT imaging. Read more about this study
- Who is it for?
- Ages 18 to 50 yearsHealthy volunteers can take part
- Conditions the study is for
- Periapical Lesion
- What is being tested?
- Cone beam computed tomography and artificial intelligence software
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 100 participants
- Where
- 1 siteEgypt
- Study dates
- 6 Dec 2024to 21 Dec 2025
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 50 years
- All sexes
- Healthy volunteers accepted
- Adult
Who may be able to join
- All patients must be medically free from any systemic disease that can affect root canal treatment.
- 18 to 50 years old patients with permanent teeth presenting with periapical pathosis.
- No sex predilection.
- All patients must have good oral hygiene.
- Restorable teeth
- Positive patient's acceptance for participating in the study.
- Patients able to sign informed consent
Who cannot join
- Patients above 50 years or patients below 18 years.
- Patients with very poor oral hygiene.
- Pregnant women after taking detailed history and pregnancy test must be in the first visit.
- Psychologically disturbed patients.
- Teeth that have:
- Periodontally affected with grade 2 or 3 mobility.
- Not restorable teeth.
- Abnormal anatomy and calcified canals
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Accuracy of Artificial Intelligence Technology in Detecting Periapical Lesions in Human Teeth. Diagnostic Accuracy Experimental Study.
Aims to evaluate the accuracy of using Artificial intelligence software in detecting the presence of periapical lesion compared to CBCT imaging.
Read the detailed description
In this research, patients referred to endodontic department in the university will undergo clinical examination (percussion, palpation) tests. These will be recorded. Then the patient will undergo a periapical radiograph to detect the presence of periapical lesion. Patients with periapical lesions will then undergo a cone beam computed tomography and this scan will be uploaded into the Artificial intelligence software to detect the accuracy of the software in detecting the presence of the periapical lesion. Any patient with a periapical lesion in need of root canal treatment will undergo the treatment.
- Conditions
- Periapical Lesion
- Being tested
- Cone beam computed tomography, artificial intelligence software
- Keywords
- artificial intelligence, periapical lesion, CBCT
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Cone beam computed tomographyOther
Cone beam computed tomography scans to detect the presence of periapical lesion by specialized investigators.
artificial intelligence softwareOther
artificial intelligence software that aids in diagnosis in dentistry
| Study group | Role | What they receive |
|---|---|---|
| cone beam computed tomography | Active comparator | detecting radiolucent periapical lesions using cone beam computed tomography Receives: Other: Cone beam computed tomography |
| artificial intelligence software | Active comparator | Cone beam CT scan will be uploaded to artificial intelligence software to ensure that the software will detect radiolucent periapical lesion compared to Cone beam CT scans. Receives: Other: artificial intelligence software |
What is being measured
The primary outcome is the main question the study is designed to answer.
CBCT scans
Presence of periapical lesion on CBCT scans
Measured: 1 year
Secondary outcomes (1)
Accuracy of Artificial intelligence software
Comparing results from CBCT scans to Artificial intelligence software in detection of periapcial lesions.
Measured: 1 year
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted6 Jan 2026
- Study start6 Dec 2024
- Primary completion1 Nov 2025
- Study completion21 Dec 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Periapical LesionStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Diagnosis
- Allocation
- Randomised
- Intervention model
- Sequential
- Masking
- Single blind
- Who is masked
- Investigator
- Enrolment
- 100 participants (actual)
Sponsor and investigators
- Lead sponsor
- Future University in Egypt
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Mays Maher Albochi, Future University in Egypt
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07319182
- Sponsor's protocol ID
- (52)/11-2024
- Acronym
- AI
- Status last verified
- Dec 2025
- First submitted
- 21 Dec 2025
- Last updated
- 6 Jan 2026
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes
Study at a glance
From the registry record, last updated by the sponsor on 6 Jan 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Accuracy of Artificial Intelligence Technology in Detecting Periapical Lesions in Human Teeth. Diagnostic Accuracy Experimental Study.
- ClinicalTrials.gov ID
- NCT07319182
- Acronym / sponsor ID
- AI / (52)/11-2024
- Conditions
- Periapical Lesion
- Keywords
- artificial intelligence, periapical lesion, CBCT
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 100 participants (actual)
- Lead sponsor
- Future University in EgyptUniversity, hospital or other
- Study start
- 6 Dec 2024 (actual)
- Primary completion
- 1 Nov 2025 (actual)
- Study completion
- 21 Dec 2025 (actual)
- First posted
- 6 Jan 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Aims to evaluate the accuracy of using Artificial intelligence software in detecting the presence of periapical lesion compared to CBCT imaging.
Detailed description
In this research, patients referred to endodontic department in the university will undergo clinical examination (percussion, palpation) tests. These will be recorded. Then the patient will undergo a periapical radiograph to detect the presence of periapical lesion. Patients with periapical lesions will then undergo a cone beam computed tomography and this scan will be uploaded into the Artificial intelligence software to detect the accuracy of the software in detecting the presence of the periapical lesion. Any patient with a periapical lesion in need of root canal treatment will undergo the treatment.
Study design
- Primary purpose
- Diagnosis
- Allocation
- Randomised
- Intervention model
- Sequential
- Masking
- Single blind (investigator)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| cone beam computed tomography | Active comparator | Other: Cone beam computed tomographydetecting radiolucent periapical lesions using cone beam computed tomography |
| artificial intelligence software | Active comparator | Other: artificial intelligence softwareCone beam CT scan will be uploaded to artificial intelligence software to ensure that the software will detect radiolucent periapical lesion compared to Cone beam CT scans. |
Who may qualify
- Ages
- 18 to 50 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult
Key inclusion criteria (7 listed)
- All patients must be medically free from any systemic disease that can affect root canal treatment.
- 18 to 50 years old patients with permanent teeth presenting with periapical pathosis.
- No sex predilection.
- All patients must have good oral hygiene.
- Restorable teeth
Key exclusion criteria (8 listed)
- Patients above 50 years or patients below 18 years.
- Patients with very poor oral hygiene.
- Pregnant women after taking detailed history and pregnancy test must be in the first visit.
- Psychologically disturbed patients.
- Periodontally affected with grade 2 or 3 mobility.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Cone beam computed tomographyCone beam computed tomography scans to detect the presence of periapical lesion by specialized investigators. | Other | cone beam computed tomography |
| artificial intelligence softwareartificial intelligence software that aids in diagnosis in dentistry | Other | artificial intelligence software |
Primary outcome
CBCT scans
Time frame: 1 year
Presence of periapical lesion on CBCT scans
1 secondary outcome
Accuracy of Artificial intelligence software
Time frame: 1 year
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 6 Jan 2026.
- Individual participant dataSharing planned: Yes
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A Retrospective Cohort Study on the Non-Surgical Treatment of Periapical Inflammatory Lesions With Vitapex Paste
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The Effect of Different Intracanal Medicaments on Periapical Lesion Healing
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Cone beam computed tomography and artificial intelligence software in people with Periapical Lesion, run by Future University in Egypt at 1 site in Egypt.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 7 inclusion and 8 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 6 Jan 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Egypt. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
CBCT scans (time frame: 1 year). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 6 Jan 2026.