Möhlhenrich Stephan C, Heussen Nicole, Winterhalder Philipp, Prescher Andreas, Hölzle Frank, Modabber Ali, Wolf Michael, Kniha Kristian
Department of Orthodontics, University Hospital of the RWTH Aachen, Aachen, Germany.
Department of Medical Statistics, University Hospital of the RWTH Aachen, Aachen, Germany.
Eur J Oral Sci. 2019 Oct;127(5):462-471. doi: 10.1111/eos.12651. Epub 2019 Sep 25.
This study aimed to evaluate the effect of implant size and bone condition on primary stability of orthodontic mini-implants with a view to predict the primary stability before insertion. Four-hundred and forty mini-implants of two different diameters (2.0 and 2.3 mm) and lengths (7 and 12 mm) were inserted at 11 different positions in human cadaver maxillae. Before placement of mini-implants, cone beam computed tomography (CBCT) scans were performed to measure bone density and cortical thickness and, after mini-implant placement, implant stability quotient (ISQ) values were determined by resonance frequency analysis and cofactors were analyzed to determine their influence on the primary stability. Additionally, an equation was developed to predict the expected stability based on implant size and bone quality. Bone density varied between 433 (SD 122) and 587 (SD 249) Hounsfield units (HU), and cortical thickness varied between 0.49 (SD 0.42) and 0.98 (SD 0.60) mm. The lowest ISQ value, of 15.50 (SD 7.29) (bone density: 531 (SD 219) HU; cortical thickness: 0.65 (SD 0.58) mm), was found for a mini-implant of 2.0 × 7 mm and the highest ISQ value, of 46.30 (SD 8.69) (bone density: 587 (SD 249) HU; cortical thickness: 0.98 (SD 0.60) mm), was found for a mini-implant of 2.3 × 11 mm. Statistically significant influences of the cofactors on primary stability were demonstrated. To visualize the predictive power of the model, the observed values versus the predicted values of primary stability were compared and the model fit was represented by residual plots. The expected primary stability can be estimated by a linear regression model comprising the radiologically determined bone density, cortical thickness, implant length and diameter, and placement position.
本研究旨在评估种植体尺寸和骨条件对正畸微型种植体初期稳定性的影响,以期在植入前预测初期稳定性。将440枚两种不同直径(2.0和2.3毫米)和长度(7和12毫米)的微型种植体植入人类尸体上颌骨的11个不同位置。在植入微型种植体之前,进行锥形束计算机断层扫描(CBCT)以测量骨密度和皮质厚度,在植入微型种植体之后,通过共振频率分析确定种植体稳定性商(ISQ)值,并分析辅助因素以确定它们对初期稳定性的影响。此外,还建立了一个方程,以根据种植体尺寸和骨质量预测预期稳定性。骨密度在433(标准差122)至587(标准差249)亨氏单位(HU)之间变化,皮质厚度在0.49(标准差0.42)至0.98(标准差0.60)毫米之间变化。对于2.0×7毫米的微型种植体,发现最低的ISQ值为15.50(标准差7.29)(骨密度:531(标准差219)HU;皮质厚度:0.65(标准差0.58)毫米),而对于2.3×11毫米的微型种植体,发现最高的ISQ值为46.30(标准差8.69)(骨密度:587(标准差249)HU;皮质厚度:0.98(标准差0.60)毫米)。结果表明辅助因素对初期稳定性有统计学上的显著影响。为了直观显示该模型的预测能力,比较了初期稳定性的观察值与预测值,并通过残差图表示模型拟合情况。预期的初期稳定性可通过一个线性回归模型进行估计,该模型包括放射学确定的骨密度、皮质厚度、种植体长度和直径以及植入位置。