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Artificial Intelligence-Based Assessment of Endosseous Lesions

Study acronym: AIpreop
StatusRecruiting
PhaseNot applicable
Started
View on ClinicalTrials.gov ↗
Record status
This record was last updated April 15, 2026 (before its estimated May 1, 2026 completion). Its status may not reflect the trial's current state.

Record History

  1. Recruitment opened
    • Start date: Mar 1, 2026 to Apr 1, 2026
    • Primary completion pushed from Apr 1, 2026 to May 1, 2026
    • Study sites: 0 to 2
    v2
  2. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
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.
Trial Details
NCT Number NCT07505485
Lead Sponsor University of Bari Aldo Moro
Conditions
(from sponsor)		 Maxillary Cyst, Mandibular Cyst
Enrollment 10 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov