Kobayashi Hiroshi, Yamaoka Masaru, Hayashi Makoto, Ogiso Bunnai
Division of Applied Oral Sciences, Nihon University Graduate School of Dentistry.
J Oral Sci. 2016;58(1):93-9. doi: 10.2334/josnusd.58.93.
A non-contact electromagnetic vibration device (NEVD) was previously developed to monitor the condition of periodontal tissues by assessing mechanical parameters. This system requires placement of an accelerometer on the target tooth, to detect vibration. Using experimental tooth models, we evaluated the performance of an NEVD system with a laser displacement sensor (LDS), which does not need an accelerometer. Simulated teeth (polyacetal rods) were submerged at various depths in simulated bone (polyurethane or polyurethane foam) containing simulated periodontal ligament (tissue conditioner). Then, mechanical parameters (resonant frequency, elastic modulus, and viscosity coefficient) were assessed using the NEVD with the following detection methods: Group 1, measurement with an accelerometer; Group 2, measurement with an LDS in the presence of the accelerometer; and Group 3, measurement with an LDS in the absence of the accelerometer. Statistical analyses were performed using nonparametric methods (n = 5) (P < 0.05). The three mechanical parameters significantly increased with increasing depth. In addition, the mechanical parameters significantly differed between the polyurethane and polyurethane foam models. Although Groups 1 and 2 did not significantly differ, most all mechanical parameters in Group 3 were significantly larger and more distinguishable than those in Groups 1 and 2. The LDS was more accurate in measuring mechanical parameters and better able to differentiate periodontal tissue conditions. (J Oral Sci 58, 93-99, 2016).
一种非接触式电磁振动装置(NEVD)先前已被开发出来,通过评估机械参数来监测牙周组织的状况。该系统需要在目标牙齿上放置一个加速度计来检测振动。我们使用实验性牙齿模型,评估了一种带有激光位移传感器(LDS)的NEVD系统的性能,该传感器不需要加速度计。将模拟牙齿(聚缩醛棒)浸没在含有模拟牙周韧带(组织调理剂)的模拟骨(聚氨酯或聚氨酯泡沫)中的不同深度处。然后,使用NEVD通过以下检测方法评估机械参数(共振频率、弹性模量和粘度系数):第1组,使用加速度计测量;第2组,在有加速度计的情况下使用LDS测量;第3组,在没有加速度计的情况下使用LDS测量。使用非参数方法进行统计分析(n = 5)(P < 0.05)。随着深度增加,这三个机械参数显著增加。此外,聚氨酯模型和聚氨酯泡沫模型之间的机械参数有显著差异。虽然第1组和第2组没有显著差异,但第3组中的大多数机械参数比第1组和第2组中的参数显著更大且更易于区分。LDS在测量机械参数方面更准确,并且更能区分牙周组织状况。(《口腔科学杂志》58,93 - 99,2016)