Artificial Intelligence-Based Assessment of Endosseous Lesions
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18-80
SponsorUniversity of Bari Aldo Moro
About this trial
Despite these advances, CBCT interpretation remains largely qualitative and dependent on the clinician's experience. Conventional evaluation is based on two-dimensional slices and linear measurements, which may underestimate lesion complexity and spatial distribution.
Recent developments in Artificial Intelligence in Medicine have introduced automated image segmentation tools capable of identifying lesion boundaries and calculating volumetric data. These technologies allow a transition from subjective assessment to objective, reproducible quantification.
The potential clinical advantages include:
* Objective measurement of lesion size (volume in mm³) * Improved surgical planning * Enhanced prediction of anatomical involvement * Reduction of diagnostic errors * Standardization of follow-up and outcome assessment Therefore, the aim of the present study was to evaluate the clinical impact of AI-based segmentation and volumetric analysis of endosseous lesions compared to conventional CBCT interpretation.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Good health according to the System of the American Society of Anesthesiology
Aged older than 18 years
No general medical contraindication for surgery
Disqualifiers
Smoking more than 15 cigarettes a day
Pregnancy
Acute infections
Trial design
Design model
Parallel
Treatments tested in this trial
AI assisted Evaluation
Diagnostic testCBCT scans were processed using AI-based software capable of: * Automated segmentation of the lesion * 3D reconstruction * Volumetric calculation
Treatment groups
10 Participants
are divided into 2 treatment groupsGroup A: Patients with endosseous lesion-Analyzed using conventional CBCTNo intervention 0 interventions
Group B: Patients with endosseous lesion- AI-assisted evaluationExperimental treatment 1 intervention
Trial outcomes
Primary outcomes
1
Time required for CBCT interpretation (minutes)
assessment of the time required for CBCT interpretation by the surgeon. A digital stopwatch was used to record the operative time required for each procedural step, with measurements expressed in seconds, in order to obtain an objective and standardized assessment of execution time.
Time frame
Day 1Secondary outcomes
1
Intraoperative and Postoperative Complications
* Unexpected endodontic treatment of adjacent teeth * Intraoperative nerve exposure * Paresthesia * Excessive bone removal * Incomplete lesion removal * Postoperative infection * Delayed healing * Sinus involvement * Root damage to adjacent teeth
Time frame
Day 1Sponsors and contacts
Click on the lead sponsor to view all of their trials.
Source ClinicalTrials.gov