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DOI 10.1111/ocr.12803

Медицинская библиотека · Orthodontics & craniofacial research · 2024

Mixed reality-based technology to visualize and facilitate treatment planning of impacted teeth: Proof of concept.

Fudalej Piotr S, Garlicka Agnieszka, Dołęga-Dołegowski Damian, Dołęga-Dołegowska Magda, Proniewska Klaudia, Voborna Iva, Dubovska Ivana

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Аннотация

OBJECTIVE

We propose a method utilizing mixed reality (MR) goggles (HoloLens 2, Microsoft) to facilitate impacted canine alignment, as planning the traction direction and force delivery could benefit from 3D data visualization using mixed reality (MR).

METHODS

Cone-beam CT scans featuring isometric resolution and low noise-to-signal ratio were semi-automatically segmented in Inobitec software. The exported 3D mesh (OBJ file) was then optimized for the HoloLens 2. Using the Unreal Engine environment, we developed an application for the HoloLens 2, implementing HoloLens SDK and UX Tools. Adjustable pointers were added for planning attachment placement, traction direction, and point of force application. The visualization was presented to participants of a course on impacted teeth treatment, followed by a 10-question survey addressing potential advantages (5-point scale: 1 = totally agree, 5 = totally disagree).

RESULTS

Out of 38 respondents, 44.7% were orthodontists, 34.2% dentists, 15.8% dental students, and 5.3% dental technicians. Most respondents (44.7%) were between 35 and 44 years old, and only 1 (2.6%) respondent was 55-64 years old. Median answers for six questions were 'totally agree' (25th percentile 1, 75th percentile 2) and for four questions 'agree' (25th percentile 1, 75th percentile 2). No correlation was found between age, profession, and responses.

CONCLUSION

Our method generated substantial interest among clinicians. The initial responses affirm the potential benefits, supporting the continued exploration of MR-based techniques for the treatment of impacted teeth. However, the recommendation for widespread use awaits validation through clinical trials.

Для цитирования: Fudalej Piotr S, Garlicka Agnieszka, Dołęga-Dołegowski Damian, Dołęga-Dołegowska Magda, Proniewska Klaudia, Voborna Iva, Dubovska Ivana. Mixed reality-based technology to visualize and facilitate treatment planning of impacted teeth: Proof of concept.. Orthodontics & craniofacial research. 2024. DOI: 10.1111/ocr.12803.

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