Virtual setup in orthodontics: planning and evaluation
SourceClinical Oral Investigations, 24, 7, (2020), pp. 2385-2393
Article / Letter to editor
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Oral and Maxillofacial Surgery
Clinical Oral Investigations
SubjectRadboudumc 10: Reconstructive and regenerative medicine RIHS: Radboud Institute for Health Sciences
OBJECTIVES: The purpose of this study was to evaluate the clinical accuracy of virtual orthodontic setups by using a new CBCT-based approach. MATERIALS AND METHODS: Ten patients who underwent pre-surgical orthodontics were included in this study. Pre-treatment and pre-surgical cone-beam CT (CBCT) scans and digital dental models were available. The pre-treatment digital dental model was used to create an orthodontic virtual setup. The digital dental models were fused with the corresponding CBCT scans, and the two CBCT scans were aligned using voxel-based matching. Moving each individual tooth from the virtual setup to the final outcome allows the calculation of the accuracy of the virtual setup by using an iterative closest point algorithm. Differences between virtual setup and final outcome were recorded as well as the ICC between two observers. RESULTS: The inter-observer variability showed a high level of agreement between the observers. The largest mean difference between observers was found in the cranial/caudal direction (0.36 +/- 0.30 mm) and the roll rotation (1.54 +/- 0.98 degrees ). Differences between the virtual setup and final outcome were small in the translational direction (0.45 +/- 0.48 mm). Rotational mean differences were larger with the pitch of the incisors (0.00 +/- 7.97 degrees ) and molars (0.01 +/- 10.26 degrees ) as largest difference. Excessive extrusion of all upper teeth and more anterior movement than planned were seen for both upper and lower arch. Lower molars showed less extrusion. CLINICAL RELEVANCE: The data of this study can be used to obtain more insight in the accuracy and achievability of orthodontic virtual setup. Tooth movement can now be studied in more details which can lead to new insights.
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