Dynamic navigation-assisted extraction of impacted maxillary anterior teeth: a model-based accuracy study.

Area of Science:

• Oral and Maxillofacial Surgery
• Dental Technology
• Surgical Navigation

Background:

• Impacted tooth extraction is challenging.
• Assessing surgical accuracy of dynamic navigation systems (DNS) for impacted maxillary anterior teeth is crucial.

Purpose of the Study:

• To develop a model-based protocol for evaluating DNS-assisted extraction accuracy.
• To compare the surgical precision of DNS-assisted versus conventional methods.

Main Methods:

• A custom model simulating impacted maxillary supernumerary teeth was used.
• Preoperative planning integrated intraoral scanning and cone-beam computed tomography (CBCT).
• DNS guided tooth localization, osteotomy, and segmentation; outcomes measured by 3D deviations via postoperative CBCT.

Main Results:

• The DNS group showed significantly lower RMS deviation in segmentation accuracy (0.43 ± 0.18 mm vs. 0.85 ± 0.38 mm; P = 0.02).
• Reduced angular deviation (8.97° vs. 14.76°; P = 0.04) and curvature RMS (1.72 rad vs. 3.54 rad; P = 0.04) were observed with DNS.
• Maximum deviation was also significantly lower in the DNS group (0.77 mm vs. 1.30 mm; P < 0.01).

Conclusions:

• DNS-assisted extraction significantly enhances surgical accuracy for impacted maxillary anterior teeth.
• The technique improves procedural accuracy, stability, and overall patient safety compared to conventional methods.