期刊
JOURNAL OF THE WORLD FEDERATION OF ORTHODONTISTS
卷 11, 期 6, 页码 207-215出版社
ELSEVIER
DOI: 10.1016/j.ejwf.2022.10.006
关键词
Digital dentistry; CBCT; Digital dental models; Implant planning
资金
- American Association of Orthodontists Foundation
- National Institute of Dental and Craniofacial Research [R01DE024450]
- University of the Pacific, Arthur A. Dugoni School of Dentistry
In the digital dentistry era, new tools, algorithms, and computer applications are available for researchers and clinicians. This article reviews the basic concepts and current panorama of digital implant planning in orthodontics, as well as the tools for assessing three-dimensional imaging information. The visualization and processing of three-dimensional data allow better implant planning and personalized treatment.
In the digital dentistry era, new tools, algorithms, data science approaches, and computer applications are available to researchers and clinicians. However, there is also a strong need for better knowledge and understanding of multisource data applications, including three-dimensional imaging information such as cone-beam computed tomography images and digital dental models for multidisciplinary cases. In addition, artificial intelligence models and automated clinical decision systems are rising. The clinician needs to plan the treatment based on state-of-the-art diagnosis for better and more personalized treatment. This article aimed to review basic concepts and the current panorama of digital implant planning in orthodontics, with open-source and closed-source tools for assessing cone-beam computed images and digital dental models. The visualization and processing of the three-dimensional data allow better implant planning based on bone conditions, adjacent teeth and root positions, and the prognosis of the case. We showed that many tools for assessment, segmentation, and visualization of cone-beam computed tomographic images and digital dental models could facilitate the treatment planning of patients needing implants or space closure. The tools and approaches presented are toward personalized treatment and better prognosis, following the path to a more automated clinical decision system based on multisource three-dimensional data, artificial intelligence models, and digital planning. In summary, the orthodontist needs to analyze each patient individually and use different software or tools that better fit their practice, allowing efficient treatment planning and satisfactory results with an adequate prognosis. (c) 2022 World Federation of Orthodontists. Published by Elsevier Inc. All rights reserved.
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