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首页> 外文期刊>European Journal of Dentistry >Usefulness of measuring radiographic density of axis vertebra in patients at risk of osteoporosis: A cone-beam computed tomography study
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Usefulness of measuring radiographic density of axis vertebra in patients at risk of osteoporosis: A cone-beam computed tomography study

机译:测量骨质疏松风险患者中轴椎骨的射线照相密度的实用性: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 radiographic density of the axis vertebra (RDAV) in patients at risk of osteoporosis. Materials and Methods: Two hundred and forty-seven old patients (109 males and 138 females) aged between 50 and 80 years (mean age: 59.68 ± 7.27) were examined by CBCT. Using InVivoDental, v. 5.0 (Anatomage Inc., San Jose, CA), RDAV and mental index (MI) were measured twice and correlated using Pearson's correlation coefficients. Patients were divided into two categories: high risk and low risk of osteoporosis using 3.1 mm of MI as a cutoff value, and the mean value of RDAV was compared and correlated using independent samples' t-test and regression analysis. Receiver-operating characteristic (ROC) curve analysis was also used to examine the predictive power of RDAV. Results: The mean value of RDAV was moderately correlated with MI (r = 0.32), and in patients at low risk of osteoporosis, the mean value of RDAV was significantly higher than in patients at high risk of osteoporosis. In multivariate binary logistic regression, the odds of being at risk of osteoporosis decreased by 1% with one unit increase in RDAV (odds ratio = 0.988, 95% confidence interval: 0.983–0.993; P Conclusions: Measuring RDAV 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的椎骨(RDAV)射线照相密度的有用性。资料与方法:CBCT检查了247名年龄在50至80岁(平均年龄:59.68±7.27)之间的老年患者(109例男性和138例女性)。使用InVivoDental 5.0版(Anatomage Inc.,加利福尼亚州圣何塞),对RDAV和心理指数(MI)进行两次测量,并使用Pearson相关系数进行相关。将患者分为两类:骨质疏松的高危和低危,以3.1 mm MI作为临界值,并使用独立样本的t检验和回归分析对RDAV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RDAV的预测能力。结果:RDAV的平均值与MI呈中等程度的相关性(r = 0.32),在骨质疏松风险低的患者中,RDAV的平均值明显高于骨质疏松风险高的患者。在多元二元对数回归中,随着RDAV单位增加,患骨质疏松风险的几率降低1%(优势比= 0.988,95%置信区间:0.983–0.993; P结论:测量RDAV被认为可用于预测患者有骨质疏松症的风险。

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