Pullinger Andrew G, Seligman Donald A, John Mike T, Harkins Stephen
Division of Oral Biology and medicine, Section of Orofacial Pain, School of Dentistry, University of California at Los Angeles, Los Angeles, 90024-1168, USA.
J Prosthet Dent. 2002 Mar;87(3):289-97. doi: 10.1067/mpr.2002.121741.
There is persistent dispute about the diagnostic value of hard tissue anatomic relationships in predicting temporomandibular joint disorders and normals.
The goal of this study was identification of multifactorial temporomandibular hard tissue relationships that differentiate asymptomatic normal joints.
Central section lateral tomograms of 162 female temporomandibular joints with pooled diagnoses of unilateral disk displacement with and without reduction were compared to 42 female asymptomatic normal joints using 14 linear and angular measurements and 8 ratios. A validated classification tree model was tested for accuracy with sensitivity, specificity, goodness of fit, and the amount of the log likelihood accounted for. The tree model was compared with a multiple logistic regression model and univariate testing.
The classification tree model consisted of 3 asymptomatic and 4 disk displacement terminal nodes consisting of interactions of condyle position with measures of fossa size and shape, of which mainly average non-extreme measurements and more frequent concentric ranges typified the asymptomatic joints. The logistic regression and univariate models also incorporated condyle position and size, but the logistic regression accounted for less of the log likelihood than the tree (23.3% vs. 32.6% Rescaled Cox and Snell R(2)). The tree and the logistic regression models were moderately good predictors for distinguishing normals from disk displacement joints (sensitivity 67.9% and 72.2%, specificity 85.7% and 76.2%, respectively). Although the univariate analysis showed that the asymptomatic joints had smaller mean fossa width to fossa depth ratios (P<.0005), shorter mean eminence length (P<.007), and more concentric to anterior mean condyle position (P<.049), overlap in most of the ranges limited the predictive value.
Within the limitations of this study, multifactorial analysis revealed that several subsets of asymptomatic temporomandibular joints could be distinguished from joints with disk displacement according to hard tissue measurements taken from central section tomograms. In general, asymptomatic normal joints were typified by interactions of less extreme ranges of fossa size, shape, and condyle position.
关于硬组织解剖关系在预测颞下颌关节紊乱症和正常情况中的诊断价值,一直存在争议。
本研究的目的是确定能区分无症状正常关节的多因素颞下颌硬组织关系。
对162例诊断为单侧盘移位伴或不伴复位的女性颞下颌关节的中央断面侧位体层摄影片,与42例无症状的女性正常关节进行比较,采用14项线性和角度测量指标以及8个比值。使用灵敏度、特异性、拟合优度和对数似然值占比,对经过验证的分类树模型进行准确性测试。将该树模型与多元逻辑回归模型和单变量测试进行比较。
分类树模型由3个无症状和4个盘移位终端节点组成,这些节点由髁突位置与窝大小和形状测量值的相互作用构成,其中无症状关节的典型特征主要是平均非极端测量值和更频繁的同心范围。逻辑回归模型和单变量模型也纳入了髁突位置和大小,但逻辑回归模型对数似然值的解释比例低于分类树模型(重新标度的Cox和Snell R²分别为23.3%和32.6%)。分类树模型和逻辑回归模型在区分正常关节和盘移位关节方面是中等良好的预测模型(灵敏度分别为67.9%和72.2%,特异性分别为85.7%和76.2%)。虽然单变量分析显示无症状关节的窝宽度与窝深度比值的平均值较小(P<0.0005),平均隆突长度较短(P<0.007),且髁突平均位置更靠近同心到前方(P<0.049),但大多数范围的重叠限制了预测价值。
在本研究的局限性范围内,多因素分析表明,根据中央断面体层摄影片上的硬组织测量值,可将无症状颞下颌关节的几个亚组与盘移位关节区分开来。一般来说,无症状正常关节的典型特征是窝大小、形状和髁突位置的范围不太极端的相互作用。