Antonacci, Donato; Caponio, Vito Carlo Alberto; Troiano, Giuseppe; Pompeo, Mario Giulio; Gianfreda, Francesco; Canullo, Luigi (2023). Facial scanning technologies in the era of digital workflow: A systematic review and network meta-analysis. Journal of prosthodontic research, 67(3), pp. 321-336. Japan Prosthodontic Society 10.2186/jpr.JPR_D_22_00107
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PURPOSE
The aim of this network meta-analysis is to evaluate the accuracy of various face-scanning technologies in the market, with respect to the different dimensions of space (x, y, and z axes). Furthermore, attention will be paid to the type of technologies currently used and to the best practices for high-quality scan acquisition.
MATERIAL AND METHODS
The review was conducted following the PRISMA guidelines and its updates. A thorough search was performed using the digital databases MEDLINE, PubMed, EMBASE, and the Cochrane Central Register of Controlled Trials by entering research lines or various combinations of free words. The main keywords used during the search process were "photogrammetry", "laser scanner", "optical scanner", "3D, and "face".
RESULTS
None of the included technologies significantly deviated from direct anthropometry. The obtained mean differences in the distances between the considered landmarks range from 1.10 to -1.74 mm.
CONCLUSION
Limiting the movements of the patient and scanner allows for more accurate facial scans with all the technologies involved. Active technologies such as laser scanners (LS), structured light (SL), and infrared structured light (ISL) have accuracy comparable to that of static stereophotogrammetry while being more cost-effective and less time-consuming.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > School of Dental Medicine > Department of Periodontology |
UniBE Contributor: |
Canullo, Luigi |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
1883-9207 |
Publisher: |
Japan Prosthodontic Society |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
07 Sep 2022 13:52 |
Last Modified: |
01 Aug 2023 00:11 |
Publisher DOI: |
10.2186/jpr.JPR_D_22_00107 |
PubMed ID: |
36058870 |
Uncontrolled Keywords: |
Digital dentistry Digital-workflow Face-scan Scanning technologies Virtual patient |
BORIS DOI: |
10.48350/172715 |
URI: |
https://boris.unibe.ch/id/eprint/172715 |
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