Gerodontology and Oral Rehabilitation, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
Digital Dentistry Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
J Prosthodont Res. 2024 Jan 16;68(1):114-121. doi: 10.2186/jpr.JPR_D_22_00266. Epub 2023 Apr 6.
Purpose Additive manufacturing has revolutionized the fabrication of complete dentures. However, this process involves support structure, which is a construction part that holds the specimen during printing, and may prove to be disadvantageous. Therefore, this in vitro study compared the effect of support structure reduction on various volume and area distributions of a 3D-printed denture base to determine optimal parameters based on accuracy.Methods A complete maxillary denture base construction file was used as reference. Twenty denture bases were 3D printed under four conditions (total n=80): no support structure reduction (control), palatal support structure reduction (Condition P), border support structure reduction (Condition B), and palatal and border support structure reduction (Condition PB). Printing time and resin consumption were also recorded. The intaglio surface trueness and precision of all acquired data were exported to a 3D analysis software, and the dimensional changes to the denture base were analyzed using the root-mean-square estimate (RMSE) to assess geometric accuracy and generate color map patterns. Nonparametric Kruskal-Wallis and Steel-Dwass tests (α=0.05) analyzed the accumulated data.Results Control had the lowest RMSE values for trueness and precision. Nevertheless, it demonstrated a significantly lower RMSE than that of Condition B (P=0.02) in precision. Owing to negative deviation at the palatal region, Conditions P and PB had higher retention than Control and Condition B regarding the color map pattern.Conclusions Within the limitations of this study, the reduction of palatal and border support structures showed optimal accuracy with resource and cost savings.
增材制造彻底改变了全口义齿的制作方式。然而,该过程涉及支撑结构,这是在打印过程中固定样本的结构部分,可能会带来不利影响。因此,本体外研究比较了支撑结构减少对 3D 打印义齿基托不同体积和面积分布的影响,以根据准确性确定最佳参数。
使用完整的上颌义齿基托结构文件作为参考。在四种条件下(总 n=80)对 20 个义齿基托进行 3D 打印:无支撑结构减少(对照)、腭部支撑结构减少(条件 P)、边缘支撑结构减少(条件 B)和腭部和边缘支撑结构减少(条件 PB)。还记录了打印时间和树脂消耗。将所有获得的数据的凹面表面准确性和精度导出到 3D 分析软件中,并使用均方根估计(RMSE)分析义齿基托的尺寸变化,以评估几何准确性并生成颜色图模式。使用非参数 Kruskal-Wallis 和 Steel-Dwass 检验(α=0.05)分析累积数据。
对照条件在准确性和精度方面的 RMSE 值最低。然而,在精度方面,其 RMSE 值明显低于条件 B(P=0.02)。由于腭部区域的负偏差,条件 P 和 PB 在颜色图模式方面的保留率高于对照和条件 B。
在本研究的限制范围内,减少腭部和边缘支撑结构可在节省资源和成本的同时获得最佳准确性。