Ventä I
Department of Oral and Maxillofacial Surgery, University of Helsinki, Finland.
Oral Surg Oral Med Oral Pathol. 1993 Dec;76(6):699-703. doi: 10.1016/0030-4220(93)90037-5.
The study was carried out to create and test a model for predicting impaction of lower third molars on the basis of radiographic findings at age 20 years. Fifty-six initially unerupted lower third molars were followed up for 6 years. Five radiographic findings in panoramic tomograms at age 20 were taken as variables. Clinical status at age 26 was taken as response. The radiographic features studied were angulation of tooth, development of root, state of impaction, depth in bone, and relation of the tooth to the ramus of the mandible and the second molar. With the use of logistic regression, univariate and bivariate analyses, and clustering techniques, a decision tree was constructed that indicated accuracies of prediction on the basis of single variables or pairs of variables. The most important predictor was the type of impaction. The model predictions and test teeth findings were in agreement in 94% of instances. It was concluded that the model is suitable for predicting lower third molar impaction at age 20.
本研究旨在基于20岁时的影像学检查结果创建并测试一个预测下颌第三磨牙阻生的模型。对56颗最初未萌出的下颌第三磨牙进行了6年的随访。将20岁时全景断层扫描中的五项影像学检查结果作为变量。将26岁时的临床状态作为反应变量。所研究的影像学特征包括牙齿的倾斜度、牙根发育情况、阻生状态、在骨内的深度以及牙齿与下颌升支和第二磨牙的关系。通过使用逻辑回归、单变量和双变量分析以及聚类技术，构建了一个决策树，该决策树显示了基于单个变量或变量对的预测准确性。最重要的预测因素是阻生类型。在94%的情况下，模型预测与测试牙齿的结果一致。得出的结论是，该模型适用于预测20岁时的下颌第三磨牙阻生情况。
