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      Accuracy of 3-Dimensionally Printed Full-Arch Dental Models: A Systematic Review

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          Abstract

          The use of additive manufacturing in dentistry has exponentially increased with dental model construction being the most common use of the technology. Henceforth, identifying the accuracy of additively manufactured dental models is critical. The objective of this study was to systematically review the literature and evaluate the accuracy of full-arch dental models manufactured using different 3D printing technologies. Seven databases were searched, and 2209 articles initially identified of which twenty-eight studies fulfilling the inclusion criteria were analysed. A meta-analysis was not possible due to unclear reporting and heterogeneity of studies. Stereolithography (SLA) was the most investigated technology, followed by digital light processing (DLP). Accuracy of 3D printed models varied widely between <100 to >500 μm with the majority of models deemed of clinically acceptable accuracy. The smallest (3.3 μm) and largest (579 μm) mean errors were produced by SLA printers. For DLP, majority of investigated printers ( n = 6/8) produced models with <100 μm accuracy. Manufacturing parameters, including layer thickness, base design, postprocessing and storage, significantly influenced the model’s accuracy. Majority of studies supported the use of 3D printed dental models. Nonetheless, models deemed clinically acceptable for orthodontic purposes may not necessarily be acceptable for the prosthodontic workflow or applications requiring high accuracy.

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          Most cited references64

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          A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research.

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            QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies.

            In 2003, the QUADAS tool for systematic reviews of diagnostic accuracy studies was developed. Experience, anecdotal reports, and feedback suggested areas for improvement; therefore, QUADAS-2 was developed. This tool comprises 4 domains: patient selection, index test, reference standard, and flow and timing. Each domain is assessed in terms of risk of bias, and the first 3 domains are also assessed in terms of concerns regarding applicability. Signalling questions are included to help judge risk of bias. The QUADAS-2 tool is applied in 4 phases: summarize the review question, tailor the tool and produce review-specific guidance, construct a flow diagram for the primary study, and judge bias and applicability. This tool will allow for more transparent rating of bias and applicability of primary diagnostic accuracy studies.
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                Author and article information

                Journal
                J Clin Med
                J Clin Med
                jcm
                Journal of Clinical Medicine
                MDPI
                2077-0383
                20 October 2020
                October 2020
                : 9
                : 10
                : 3357
                Affiliations
                School of Dentistry and Oral Health, Griffith University, Griffith Health Centre (G40), Office: 7.59, Brisbane, QLD 4215, Australia; yasaman.etemadshahidi@ 123456griffithuni.edu.au (Y.E.-S.); omelbaneen.qallandar@ 123456griffithuni.edu.au (O.B.Q.); jessica.evenden@ 123456griffithuni.edu.au (J.E.); f.alifui-segbaya@ 123456griffith.edu.au (F.A.-S.)
                Author notes
                [* ]Correspondence: khaled.ahmed@ 123456griffith.edu.au ; Tel.: +61-75-678-0596
                Author information
                https://orcid.org/0000-0001-5692-6556
                https://orcid.org/0000-0003-3425-3316
                Article
                jcm-09-03357
                10.3390/jcm9103357
                7589154
                33092047
                c0ab783f-d3f0-49e1-a915-c826a54df524
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 08 September 2020
                : 16 October 2020
                Categories
                Review

                3-dimensional printing,additive manufacturing,dental models,accuracy,systematic review,full-arch

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