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Automated 3D Craniofacial Cephalometry in Orthognathic Surgery: A Preliminary Evaluation
Astrid Aisenfarb1, Arlette Oueiss2, Jacques Treil3
1Department of ENT, oral and maxillo-facial surgery, head and neck institute, 31 avenue de Valombrose 06100 Nice, University of Nice-Sophia Antipolis, France.
Journal of Stomatology, Oral and Maxillofacial Surgery
|August 26, 2025
Summary
Automated 3D cephalometry shows promise for diagnosing dento-skeletal issues in orthognathic surgery. While accurate for skeletal measurements, it needs improvement in soft tissue and occlusal analyses for full clinical use.
Area of Science:
- Oral and Maxillofacial Surgery
- Medical Imaging
- Orthodontics
Background:
- Orthognathic surgery relies on accurate diagnosis of dento-skeletal dysmorphoses.
- Traditional cephalometric analysis can be time-consuming and subjective.
- Automated 3D cephalometry offers a potential solution for enhanced diagnostic efficiency and accuracy.
Purpose of the Study:
- To evaluate the diagnostic efficiency and accuracy of automated 3D cephalometric software.
- To assess the concordance of automated 3D cephalometry with standard clinical diagnoses in orthognathic surgery.
Main Methods:
- Retrospective study involving 14 patients who underwent bimaxillary surgery.
- Comparison of standardized clinical diagnoses with automated software-generated diagnoses.
- Statistical analysis of agreement and reproducibility between the two diagnostic approaches.
Main Results:
- The automated 3D cephalometry software demonstrated high agreement for skeletal measurements and reproducibility.
- Discrepancies were noted in specific parameters, particularly in soft tissue assessments and occlusal characteristics.
- The software showed potential but requires further refinement for comprehensive diagnostic application.
Conclusions:
- Automated 3D cephalometry is a promising tool for diagnosing dento-skeletal dysmorphoses in orthognathic surgery.
- Further improvements in soft tissue and occlusal analyses are necessary for routine clinical integration.
- The technology holds significant potential to enhance diagnostic workflows in maxillofacial surgery.
