An interventional study of AI assisted Evaluation in Maxillary Cyst and Mandibular Cyst, sponsored by University of Bari Aldo Moro. Recruiting at 2 sites in Italy. Open to participants aged 18 Years to 80 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-04-15.
Sponsored by University of Bari Aldo Moro · Not applicable, Interventional, and Diagnostic
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:
67 studies on the registry are indexed under Cysts; 16 are open to participants now.
This study's planned enrollment of 10 is below the median of 48 across 40 interventional studies indexed under Cysts.
Browse Cysts studies →University of Bari Aldo Moro is the lead sponsor of 30 studies on the registry; 13 are open to participants now.
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Exclusion Criteria:
Smoking more than 15 cigarettes a day
Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.
Contraindication
A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
* Automated segmentation of the lesion * 3D reconstruction * Volumetric calculation
Diagnostic Test: AI assisted Evaluation
CBCT scans were processed using AI-based software capable of: * Automated segmentation of the lesion * 3D reconstruction * Volumetric calculation
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 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 1
Plan to share: Undecided
No publications or documents are linked to this record.
Start is estimated for Apr 2026; primary completion for May 2026, 1 month later.
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University of Bari Aldo Moro