Dental Technique
Four-dimensional digital prediction of the esthetic outcome and digital implementation for rehabilitation in the esthetic zone

https://doi.org/10.1016/j.prosdent.2019.04.007Get rights and content

Abstract

A technique for 4-dimensional (4D) digital prediction of the outcome of esthetic dentistry for a virtual patient is presented. Static 3D images (which incorporate predicted precise dentition and facial soft tissue in different smiling positions) can be converted into dynamic 3D images by using 3D intraoral imaging, 3D face imaging, and various computer software programs. This strategy can improve the visual perception and quality of esthetic prediction. In addition, the predicted esthetic outcome can be implemented by replicating the contour and shape of digital wax patterns in the definitive ceramic restorations.

Section snippets

Technique

The treatment consisted of the restoration of defective and discolored anterior teeth caused by fluorosis.

  • 1.

    Obtain 2D intraoral digital photographs and 3D digital dental casts. Make intraoral digital photographs by using a single-lens reflex camera (EOS 70D; Canon Inc) (Fig. 1A). Scan the maxillary and mandibular dentitions with the gingival tissues and the buccal sides of dentitions with the teeth in the maximum intercuspal position by using an intraoral scanner (TRIOS; 3Shape) to obtain 3D

Discussion

The presented digital technique promotes the visual perception and prediction quality of esthetic dentistry. This strategy can facilitate dentist–patient–technician communication and, subsequently, transfer the digitally designed shape of restorations to the definitive ceramic restorations. The authors are unaware of a previous report of this technique for predicting esthetic outcome, which integrates an intended diagnostic cast into the overall dynamic smiling process.

Previous methods used to

Summary

The technique described is applied for 4D prediction of the outcome of esthetic dentistry. The use of this technique could improve the simulation effect and visual reality of esthetic prediction before treatment.

References (20)

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    In a conventional workflow, it is expected but not ensured that the planned smile will be precisely transferred to the definitive restorations.9 Analog waxing from a 2D photograph of the patient may contain inaccuracies because the results depend mainly on the technician’s impression and expertise.31 The digital process overcome these concerns by combining imaging devices and a new 3D reconstruction software program.4,8,36

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H.Y. and K.-P.W. contributed equally to this article.

This study was supported by Capital's Funds for Health Improvement and Research (CFH 2018-2-4101), the Project for Culturing Leading Talents in Scientific and Technological Innovation of Beijing, China (Z171100001117169), the grants from the Key Research and Development Program of Ningxia Hui Autonomous Region (2018BEG02012), and the National Natural Science Foundation of China (81801015).

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© 2019 by the Editorial Council for The Journal of Prosthetic Dentistry.