Complex orthodontic cases may require coordinated management of tooth position, alveolar anatomy, impacted teeth, and surgical interventions. Integrating three-dimensional imaging with digital planning and additive manufacturing provides a framework for connecting diagnostic information with interdisciplinary treatment decisions. This case-based presentation explores the use of Diagnocat-assisted cone-beam computed tomography (CBCT) segmentation within a workflow combining clear aligner therapy and surgical planning. Following individual justification for CBCT imaging, segmented teeth and maxillofacial structures will be reviewed by the clinician, combined with intraoral scans when appropriate, and exported for further planning and three-dimensional printing.
Clinical applications will include the assessment of impacted canines, planning of surgical exposure and orthodontic traction, and tooth autotransplantation. Segmented models will be used to discuss surgical access, relationships with adjacent roots, potential recipient sites, and the design of procedure-specific guides using suitable planning software. Printed replicas of donor teeth will be considered as tools for recipient-site preparation planning, with attention to the biological requirements of transplantation. Patient-specific printed models of the maxilla and mandible will also be explored for anatomical study, preoperative rehearsal, and communication between orthodontists and surgeons. The discussion will distinguish the roles of anatomical study models, tooth replicas, and surgical guides, addressing the verification required for each application.
Clear aligners will remain part of the interdisciplinary treatment sequence, including space preparation, anchorage planning, and alignment or finishing when clinically appropriate. Selected examples will illustrate how three-dimensional findings influence movement staging, auxiliary mechanics, and the timing of surgical and orthodontic procedures. The educational objective is to present a practical framework for translating CBCT segmentation into clinically relevant planning tools. Emphasis will be placed on case selection, segmentation and registration accuracy, the limitations of printed models, and clinician oversight. The presentation will examine how AI-assisted assessment, physical models, and orthodontic biomechanics can support coordinated, individualised care while critically considering the evidence and limitations of each application.
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