Department of Orthodontics, Afyonkarahisar Sağlık Bilimleri University, Afyonkarahisar, Turkey.
Department of Orthodontics, Afyonkarahisar Sağlık Bilimleri University, Afyonkarahisar, Turkey.
Am J Orthod Dentofacial Orthop. 2020 Nov;158(5):759-766. doi: 10.1016/j.ajodo.2020.03.022.
The use of digital models in orthodontics is becoming increasingly widespread. This study aimed to evaluate the accuracy and performance of digital intraoral scanning under 4 different intraoral environmental conditions.
Four digital models were acquired with TRIOS intraoral scanner (3Shape, Copenhagen, Denmark) for 50 subjects. A total of 200 digital models were divided into 4 groups as follows: daylight and saliva (group 1), daylight with saliva isolation (group 2), reflector light and saliva (group 3), and relatively dark oral environment and saliva (group 4). The 4 digital models were superimposed, and the edges of the models were trimmed to create common boundaries (Geomagic Control X; 3D Systems, Rock Hill, SC). Group 2 models were used as a reference and superimposed separately with the models of the other 3 groups. Deviations between corresponding models were compared as means of negative deviation, means of positive deviation, in total area, out total area, positively positioned areas, and negatively positioned areas. In addition, all groups were compared in terms of scanning time, the total number of images, and the mesiodistal width of teeth.
Overlapping of group 1 with the reference model (group 2), a surface deviation of 13.1% (out total area) was observed. This analysis revealed that a 13% deviation was caused by the presence of saliva alone. This rate was 12.6% in group 3 and 15.5% in group 4, respectively. The values for means of negative deviation were -55 μ in group 1,-63 μ in group 3, and -68 μ in group 4. Means of positive deviation values were distributed among groups as follows: 68 μ in group 1, 69 μ in group 3, and 78 μ in group 4. The total number of images was observed, at least in group 4.
The intraoral scanner performance was affected by different environmental conditions, and that caused variations on the surface of digital models. However, the performance of the intraoral scanner was independent of the scanning time and mesiodistal width of the teeth.
正畸领域越来越多地使用数字模型。本研究旨在评估在 4 种不同口腔环境条件下,数字口内扫描的准确性和性能。
使用 TRIOS 口内扫描仪(3Shape,哥本哈根,丹麦)对 50 名受试者采集 4 个数字模型。共采集 200 个数字模型,分为 4 组:自然光和唾液(组 1)、自然光伴唾液隔离(组 2)、反射光和唾液(组 3)、相对较暗的口腔环境和唾液(组 4)。将 4 个数字模型叠加,并修剪模型边缘以创建公共边界(Geomagic Control X;3D Systems,罗克希尔,SC)。组 2 模型用作参考,并分别与其他 3 组的模型叠加。通过负偏差均值、正偏差均值、总面积、总外面积、正定位面积和负定位面积来比较对应模型之间的偏差。此外,还比较了所有组在扫描时间、总图像数量和牙齿的近远中宽度方面的差异。
组 1 与参考模型(组 2)重叠时,观察到 13.1%的表面偏差(总外面积)。分析表明,仅唾液就会导致 13%的偏差。组 3 和组 4 的偏差率分别为 12.6%和 15.5%。组 1 的负偏差均值为-55 μ,组 3 为-63 μ,组 4 为-68 μ。正偏差均值值在组间分布如下:组 1 为 68 μ,组 3 为 69 μ,组 4 为 78 μ。至少在组 4 中观察到图像总数。
口内扫描仪的性能受到不同环境条件的影响,导致数字模型表面出现变化。然而,口内扫描仪的性能与扫描时间和牙齿的近远中宽度无关。