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Accuracy of CAD-CAM RPD framework according to manufacturing method: A literature review / 대한치과보철학회지
The Journal of Korean Academy of Prosthodontics ; : 370-378, 2021.
Article in English | WPRIM | ID: wpr-903493
ABSTRACT
Purpose@#The purpose of this study was to evaluate the currently published literatures investigating the accuracy of computer-aided design and computer-aided manufacturing removable partial denture (CAD-CAM RPD) framework with different manufacturing techniques and methods. @*Materials and Methods@#A comprehensive search for literatures was conducted in PubMed database using specific keywords with the patient, intervention, comparison, and outcome (PICO) question, “Is there a difference in accuracy of RPD frameworks manufactured using digital workflow according to the manufacturing process and methods?” @*Results@#A total of 7 articles were selected. Two studies compared intraoral scanning and laboratory scanning for RPD frameworks and had heterogenous results. In the studies using different manufacturing process, RPD frameworks had clinically acceptable accuracy in both subtractive and additive manufacturing. Polyetheretherketone (PEEK)-milled RPD frameworks showed higher fit accuracy than traditionally casted or 3D printed RPDs. Direct milling method showed a higher accuracy than indirect milling method. However, in rapid prototyping, indirect method showed higher accuracy than direct method. @*Conclusion@#The RPD frameworks fabricated using CAD-CAM technology showed a clinically acceptable level of accuracy regardless of manufacturing process or techniques. Consistent results have not been reported regarding the digital impression methods, which were intra oral scanning or laboratory scanning, and further studies are needed.
Full text: Available Index: WPRIM (Western Pacific) Language: English Journal: The Journal of Korean Academy of Prosthodontics Year: 2021 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: English Journal: The Journal of Korean Academy of Prosthodontics Year: 2021 Type: Article