Clear guidance to select the most accurate technologies for 3D printing dental models - A network meta-analysisâ°.
J Dent
; 134: 104532, 2023 07.
Article
em En
| MEDLINE
| ID: mdl-37120090
OBJECTIVES: Thus far, the findings of numerous studies conducted on the accuracy of three-dimensional (3D) printed dental models are conflicting. Therefore, the aim of the network meta-analysis (NMA) is to determine the accuracy of 3D printed dental models compared with digital reference models. DATA: Studies comparing the accuracy of 3D printed full-arch dental models manufactured using different printing techniques to initial STL files were included. SOURCES: This study was registered in PROSPERO (CRD42021285863). An electronic search was performed across four databases in November 2021, and search was restricted to the English language. STUDY SELECTION: A systematic search was conducted based on a prespecified search query. 16,303 articles were pooled after the removal of the duplicates. Following study selection and data extraction, 11 eligible studies were included in the NMA in 6 subgroups. The outcomes were specified as trueness and precision and expressed as root mean square (RMS) and absolute mean deviation values. Seven printing technologies were analyzed: stereolithography (SLA), digital light processing (DLP), fused deposition modeling/fused filament fabrication (FDM/FFF), MultiJet, PolyJet, continuous liquid interface production (CLIP), and LCD technology. The QUADAS-2 and GRADE were used to evaluate the risk of bias and certainty of evidence. CONCLUSIONS: SLA, DLP, and PolyJet technologies were the most accurate in producing full-arch dental models. CLINICAL SIGNIFICANCE: The findings of the NMA suggest that SLA, DLP, and PolyJet technologies are sufficiently accurate for full-arch dental model production for prosthodontic purposes. In contrast, FDM/FFF, CLIP, and LCD technologies are less suitable for manufacturing dental models.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Desenho Assistido por Computador
/
Modelos Dentários
Tipo de estudo:
Guideline
/
Prognostic_studies
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Systematic_reviews
Idioma:
En
Revista:
J Dent
Ano de publicação:
2023
Tipo de documento:
Article
País de afiliação:
Hungria