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Dear Colleagues,

With the introduction of the dental computer-aided design and computer-aided manufacturing (CAD-CAM) system, dental prostheses can be fabricated using a digital workflow through three-dimensional (3D) data acquisition, CAD, and CAM processing as opposed to the conventional workflow involving a manual process using the lost wax technique. Prior to the introduction of intraoral scanners, the digital workflow was used to fabricate a gypsum cast through impression taking in the patient's mouth and to obtain a virtual model using a desktop 3D scanner. The intraoral scanner, on the other hand, can acquire a virtual model through direct optical scanning of the patient's mouth. The introduction and development of intraoral scanners have led to a significant increase in the demand for digital workflows.

This Special Issue aims to cover recent advances in the development and application of these technologies in digital dentistry, dental CAD/CAM, 3D scanner, and prosthodontics. Topics of interest include, but are not limited to: digital dentistry; dental CAD/CAM; 3D scanner; CAD software; 3D analysis for accuracy; and prosthodontics.

Prof. Dr. Keunbada Son
Guest Editors

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Keywords

digital dentistry
dental CAD/CAM
3D scanner
CAD software
3D analysis for accuracy
prosthodontics

Published Papers (2 papers)

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Research

Open AccessCommunication

Accuracy of Extraoral Digital Impressions with Multi-Unit Implants

Manuel António Sampaio-Fernandes

Ricardo Pinto

Paulo Rocha Almeida

Maria Margarida Sampaio-Fernandes

Duarte Marques

and

Maria Helena Figueiral

Appl. Sci. 2023, 13(15), 8769; https://doi.org/10.3390/app13158769 - 29 Jul 2023

Viewed by 762

Abstract

The aim of this in vitro study was to evaluate the accuracy of impressions made using two different silicones and corresponding stone casts in full-arch implant rehabilitation, using two laboratory scanners. A master model with six dental implants was created, scanned with a 12-megapixel scanner and used as digital master model. Ten implant impressions were obtained via two silicone impressions systems—Coltene^® and Zhermack^®—using the open-tray technique and poured gypsum. Two extraoral scanning systems (S600 ARTI Zirkonzhan^® and Identica T500 Medit^®) were used to scan the impressions and stone casts. Best-fit superimpositions were conducted between the master model and the virtual models obtained. A significance level of p < 0.05 was considered. The accuracy of the Medit^® scanner was 82.26 [53.18; 111.34] µm for Coltene^® silicone and 87.43 [72.00; 102.86] µm for Zhermack^® silicone, and the accuracy of the Zirkonzhan^® scanner was 69.90 [62.37; 77.43] µm for Coltene^® silicone and 80.67 [65.77; 95.57] µm for Zhermack^® silicone, without significant differences between scanners. When comparing the two silicones, no significant differences were found for the Medit^® (p = 0.112) or Zirkonzhan^® scanners (p = 0.162). The Zhermack^® scanner showed better accuracy than the corresponding stone casts in the two scanners, Medit^® (p = 0.019) and Zirkonzahn^® (p = 0.002). The extraoral digitalization of impressions in edentulous dental arches with six implants proves to be a valid technique. Full article

(This article belongs to the Special Issue Digital Dentistry and New Era of Prosthodontics)

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Open AccessArticle

Requirements for Dental CAD Software: A Survey of Korean Dental Personnel

and

Appl. Sci. 2023, 13(5), 2803; https://doi.org/10.3390/app13052803 - 22 Feb 2023

Viewed by 971

Abstract

This study aimed to evaluate the needs of dentists, dental technicians, dental hygienists, and dental-related workers in terms of dental computer-aided design (CAD) software and artificial intelligence (AI). Based on a factor analysis, 57 survey items were assigned to six categories: (a) considerations when purchasing dental CAD software; (b) prosthesis design process; (c) dental CAD function; (d) use of AI dental CAD crown and denture design; (e) impact of AI; and (f) improvements in AI features. Overall, 93 participants were included in the study, and the reliability of the resultant survey data was estimated using Cronbach’s alpha coefficient. Statistically significant factors in each category were identified using one-way analysis of variance and Tukey’s honestly significant difference test (α = 0.05). The results revealed that design quality, design convenience and reproducibility, margin line setting, and automatic margin setting were considered most important in their respective categories (p < 0.05). There were also significant differences in the importance of certain items, such as branding importance and functional diversity, among different dental personnel groups (p < 0.05). Design speed and convenience were also found to be more important to dentists and dental hygienists compared to other dental personnel (p < 0.05). The importance of specific survey items varied significantly based on age, dental personnel, and work experience groups. Dental personnel, such as dentists and dental technicians, assigned greater importance to certain factors, such as branding, functional diversity, design speed, and compatibility with CAM equipment, compared to other occupational groups. Full article

(This article belongs to the Special Issue Digital Dentistry and New Era of Prosthodontics)

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