AI Article Synopsis

  • The study aimed to assess how accurately removable partial denture (RPD) frameworks can be made using various digital methods.
  • A total of 80 RPD frameworks were created from different materials and manufacturing techniques, with a focus on measuring Δ-error across specific areas.
  • Results revealed slight differences in accuracy among the methods, but all frameworks met clinical standards for precision and fit.

Article Abstract

Purpose: The aim of this study is to evaluate the accuracy of removable partial denture (RPD) frameworks produced using different digital protocols.

Materials And Methods: 80 frameworks for RPDs were produced using CAD-CAM technology and divided into four groups of twenty (n = 20): Group 1, Titanium frameworks manufactured by digital metal laser sintering (DMLS); Group 2, Co-Cr frameworks manufactured by DMLS; Group 3, Polyamide PA12 castable resin manufactured by multi-jet fusion (MJF); and Group 4, Metal (Co-Cr) casting by using lost-wax technique. After the digital acquisition, eight specific areas were selected in order to measure the Δ-error value at the intaglio surface of RPD. The minimum value required for point sampling density (0.4 mm) was derived from the sensitivity analysis. The obtained Δ-error mean value was used for comparisons: 1. between different manufacturing processes; 2. between different manufacturing techniques in the same area of interest (AOI); and 3. between different AOI of the same group.

Results: The Δ-error mean value of each group ranged between -0.002 (Ti) and 0.041 (Co-Cr) mm. The Pearson's Chi-squared test revealed significant differences considering all groups paired two by two, except for group 3 and 4. The multiple comparison test documented a significant difference for each AOI among group 1, 3, and 4. The multiple comparison test showed significant differences among almost all different AOIs of each group.

Conclusion: All Δ-mean error values of all digital protocols for manufacturing RPD frameworks optimally fit within the clinical tolerance limit of trueness and precision.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154145PMC
http://dx.doi.org/10.4047/jap.2023.15.2.55DOI Listing

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