Kim Dong-Yeon, Lee Kyung-Eun, Jeon Jin-Hun, Kim Ji-Hwan, Kim Woong-Chul
Institute for Health Science, Korea University, Seoul, Republic of Korea.
Department of Dental Laboratory Science and Engineering, College of Health Science, Korea University, Seoul, Republic of Korea.
J Adv Prosthodont. 2018 Aug;10(4):328-334. doi: 10.4047/jap.2018.10.4.328. Epub 2018 Aug 17.
To evaluate the reproducibility of scan-based abutments using a blue light model scanner.
A wax cast abutment die was fabricated, and a silicone impression was prepared using a silicone material. Nine study dies were constructed using the prepared duplicable silicone, and the first was used as a reference. These dies were classified into three groups and scanned using a blue light model scanner. The first three-dimensional (3D) data set was obtained by scanning eight dies separately in the first group. The second 3D data set was acquired when four dies were placed together in the scanner and scanned twice in the second group. Finally, the third 3D data set was obtained when eight dies were placed together in the scanner and scanned once. These data were then used to define the data value using third-dimension software. All the data were then analyzed using the non-parametric Kruskal-Wallis H test (α=.05) and the post-hoc Mann-Whitney U-test with Bonferroni's correction (α=.017).
The means and standard deviations of the eight dies together were larger than those of the four dies together and of the individual die. Moreover, significant differences were observed among the three groups (<.05).
With larger numbers of abutments scanned together, the scan becomes more inaccurate and loses reproducibility. Therefore, scans of smaller numbers of abutments are recommended to ensure better results.
使用蓝光模型扫描仪评估基于扫描的基台的可重复性。
制作蜡铸基台模具,并用硅橡胶材料制备硅橡胶印模。使用制备好的可复制硅橡胶构建九个研究模具,第一个用作参考。将这些模具分为三组,并用蓝光模型扫描仪进行扫描。第一组通过分别扫描八个模具获得第一个三维(3D)数据集。第二组将四个模具一起放入扫描仪并扫描两次,从而获取第二个3D数据集。最后,第三组将八个模具一起放入扫描仪并扫描一次,获得第三个3D数据集。然后使用三维软件定义数据值。接着使用非参数Kruskal-Wallis H检验(α = 0.05)和经Bonferroni校正的事后Mann-Whitney U检验(α = 0.017)对所有数据进行分析。
八个模具一起扫描时的均值和标准差大于四个模具一起扫描时以及单个模具扫描时的均值和标准差。此外,三组之间观察到显著差异(P < 0.05)。
一起扫描的基台数量越多,扫描就越不准确且失去可重复性。因此,建议扫描较少数量的基台以确保获得更好的结果。