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首页> 外文期刊>European Journal of Dentistry >Usefulness of measuring bone density of mandibular condyle in patients at risk of osteoporosis: A cone beam computed tomography study
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Usefulness of measuring bone density of mandibular condyle in patients at risk of osteoporosis: A cone beam computed tomography study

机译:测量骨质疏松风险患者下颌骨measuring骨密度的实用性:锥束计算机断层扫描研究

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Objective: Using cone beam computed tomography (CBCT) images, the aim of the study was to evaluate the usefulness of measuring bone density of mandibular condyle (BDMC) in patients at risk of osteoporosis. Materials and Methods: Two hundred and four mandibular condyles (46 condyles from males and 158 condyles from females) were examined by CBCT. Using inVivo software (Anatomage, San Jose, Calif), BDMC and mental index (MI) were measured by two observers and correlated using Pearson's correlation coefficients. Patients were divided into high risk and low risk of osteoporosis using 3.1 mm of MI as a cutoff value, and the mean value of BDMC was compared and correlated using independent samples t-test and regression analysis. Receiver-operating characteristic (ROC) curve analyses were also used to examine the predictive power of BDMC. Results: The mean value of BDMC was moderately correlated with MI (r = 0.38), and in female patients at low risk of osteoporosis, the mean value of BDMC was significantly higher than in patients at high risk of osteoporosis. In multivariate linear regression analysis, being at risk of osteoporosis is significantly affected by BDMC, age, and gender. ROC analysis showed that the mean value of BDMC had a moderate predictive power for predicting patients at risk of osteoporosis (area under the curve = 0.621 for females and 0.649 for males). Conclusions: Measuring BDMC is considered useful in predicting patients at risk of osteoporosis.
机译:目的:使用锥束计算机断层扫描(CBCT)图像,该研究的目的是评估测量骨质疏松症风险患者下颌con骨(BDMC)骨密度的有用性。材料和方法:CBCT检查了204个下颌con突(男性46个dy突,女性158个con突)。使用inVivo软件(Anatomage,San Jose,CA),由两名观察员测量BDMC和心理指数(MI),并使用Pearson相关系数进行相关。使用3.1 mm MI作为临界值将患者分为骨质疏松症的高风险和低风险,并使用独立样本t检验和回归分析对BDMC的平均值进行比较和关联。接收者操作特征(ROC)曲线分析还用于检查BDMC的预测能力。结果:BDMC的平均值与MI呈中等程度的相关性(r = 0.38),在骨质疏松风险低的女性患者中,BDMC的平均值显着高于高骨质疏松风险的女性。在多元线性回归分析中,BDMC,年龄和性别会严重影响患骨质疏松症的风险。 ROC分析表明,BDMC的平均值具有中等预测力,可预测骨质疏松症的风险患者(曲线下面积,女性= 0.621,男性= 0.649)。结论:测量BDMC被认为有助于预测骨质疏松风险的患者。

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