Center of Excellence for Dental Implantology, Faculty of Dentistry, Chiang Mai University, Chiang Mai, Thailand.
Data Science Research Center, Department of Mathematics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand.
Clin Implant Dent Relat Res. 2019 Oct;21(5):1028-1040. doi: 10.1111/cid.12828. Epub 2019 Aug 1.
Total stability of dental implant can be obtained from resonance frequency analysis (RFA) device, but without primary and secondary stability values.
To formulate mathematical equations for dental implant stability patterns during the osseointegration period.
An online systematically search of the literature between January 1996 and December 2017 was performed for all prospective clinical trials that measured implant stability using RFA device during the osseointegration period. Initial mathematical function with adjustable parameters were created. Then curve-fitting was performed using a computerized program to formulate mathematical equations stability patterns.
Nine publications (24 study groups) were included in the mathematical analysis. Curve fitting with low sum of squared errors could be applied in all studies, except one. The stability has been divided into high, medium, and low stability. The curve fitting showed stability dip areas and intersection point which predict the returning of the stability to reach the primary stability. The study groups with low primary stability showed the poorest results, the high and medium stability group showed the stability pattern following the assumed primary stability pattern according to the mathematic equations.
The model of primary and secondary stability could be predicted from the proposed equations.
通过共振频率分析(RFA)设备可以获得种植牙的总稳定性,但没有初级和次级稳定性值。
制定在骨整合期间种植牙稳定性模式的数学方程。
对 1996 年 1 月至 2017 年 12 月期间所有使用 RFA 设备在骨整合期间测量种植体稳定性的前瞻性临床试验进行了在线系统文献检索。创建了具有可调参数的初始数学函数。然后使用计算机程序进行曲线拟合,以制定稳定性模式的数学方程。
9 篇文献(24 个研究组)纳入数学分析。除了一项研究外,所有研究都可以应用具有低平方和误差的曲线拟合。稳定性被分为高、中、低稳定性。曲线拟合显示了稳定性下降区域和交点,这些区域和交点预测了稳定性的恢复,以达到初级稳定性。初级稳定性较低的研究组结果最差,高和中稳定性组的稳定性模式符合根据数学方程假设的初级稳定性模式。
可以从提出的方程中预测初级和次级稳定性的模型。