Abstract
Objective
The mandibular symphysis is a donor site for alveolar bone grafting (ABG) in patients with cleft lip and/or palate, offering reduced morbidity. This prospective study evaluated ABG outcomes and donor site regeneration using artificial intelligence (AI)-powered 3-dimensional (3D) tools.
Design
Prospective study.
Setting
Tertiary-level craniofacial hospital.
Patients, Participants
Twenty-one patients with cleft lip and alveolus (mean age 12.1 ± 3.2 years), and without syndromes.
Interventions
Alveolar bone grafting was performed using mandibular symphysis bone by an experienced surgeon at a single center.
Main Outcome Measures
Pre- and one-year postoperative cone-beam computed tomography scans were analyzed using AI-powered 3D tools to assess alveolar bone defect and bone bridge formation in terms of thickness, mediolateral extension, and height. Donor site regeneration was evaluated by shape correspondence analysis comparing pre- and postharvesting morphology. Pulp vitality, mental nerve sensory disturbances, and length of hospital stay were recorded.
Results
At one-year follow-up, cleft defects were reduced to near-zero in all dimensions. The bone bridge reached mean values of 11.6 ± 3.4 mm buccopalatally, 20.7 ± 2.7 mm mediolaterally, and 14.6 ± 4.2 mm vertically. Donor site regeneration was highly favorable, requiring 2.73 ± 1.3 mm of residual bone formation. All patients were discharged within 24 h, with minimal discomfort and no complications.
Conclusion
These findings confirm mandibular symphysis bone as a reliable graft source and support the clinical value of AI-powered 3D approach.
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