Merheb Joe, Graham James, Coucke Wim, Roberts Martin, Quirynen Marc, Jacobs Reinhilde, Devlin Hugh
Int J Oral Maxillofac Implants. 2015 Mar-Apr;30(2):372-7. doi: 10.11607/jomi.3604.
One of the major factors governing implant success is the quantity and density of the host bone. The aim of this work was to determine whether mandibular bone texture and cortical width measurements on plain radiographs could be associated with implant failure and/or marginal bone loss.
A statistical model was built to predict implant failure; it incorporated several radiographic features of cortical and cancellous bone texture, cortical width, and patient smoking habits. Cortical width measurements and texture measurements of cortical and cancellous bone were made on the panoramic radiographs of 460 subjects. These were used to predict implant failure and marginal bone loss after 5 years. Receiver operating characteristic (ROC) curve analysis and area under the curve (AUC) were used to determine the diagnostic accuracy of the variables in predicting implant failure and marginal bone loss. Additionally, for 91 of 460 subjects with periapical radiographs, marginal bone levels around implants were measured over a 5-year period.
Of the 460 patients assessed for implant failure, 29 had failed implants (93.7% success rate). The ROC curve built from this model had a sensitivity of 62.1% and specificity of 67.5%. The AUC from the model was 0.690 (95% confidence interval [CI] 0.597 to 0.783). A model was also built to predict marginal bone loss. The ROC curve had 78.6% sensitivity and 74.6% specificity (AUC = 0.880, 95% CI = 0.810 to 0.953). Mandibular cortical width was not a significant predictor of either implant failure or bone loss.
In a retrospective analysis 5 years after implant placement, features of cancellous and cortical bone of the mandible were significant in predicting implant failure and marginal bone loss in a sample of 460 patients.
决定种植体成功的主要因素之一是宿主骨的数量和密度。本研究的目的是确定在普通X线片上测量的下颌骨纹理和皮质骨宽度是否与种植体失败和/或边缘骨丢失相关。
建立一个统计模型来预测种植体失败；该模型纳入了皮质骨和松质骨纹理、皮质骨宽度以及患者吸烟习惯等几个影像学特征。在460名受试者的全景X线片上测量皮质骨宽度以及皮质骨和松质骨的纹理。这些数据用于预测5年后种植体失败和边缘骨丢失情况。采用受试者工作特征（ROC）曲线分析和曲线下面积（AUC）来确定这些变量在预测种植体失败和边缘骨丢失方面的诊断准确性。此外，对460名受试者中的91名有根尖片的患者，在5年期间测量种植体周围的边缘骨水平。
在评估种植体失败的460例患者中，29例种植体失败（成功率93.7%）。基于该模型构建的ROC曲线敏感性为62.1%，特异性为67.5%。该模型的AUC为0.690（95%置信区间[CI]0.597至0.783）。还建立了一个预测边缘骨丢失的模型。该ROC曲线敏感性为78.6%，特异性为74.6%（AUC = 0.880，95%CI = 0.810至0.953）。下颌皮质骨宽度不是种植体失败或骨丢失的显著预测因素。
在种植体植入5年后的回顾性分析中，下颌骨松质骨和皮质骨的特征在预测460例患者样本中的种植体失败和边缘骨丢失方面具有显著意义。
