Detection of Natural White Spot Caries Lesions by an Ultrasonic System
Detection of Natural White Spot Caries Lesions by an Ultrasonic System
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通过超声波系统检测天然白点龋齿病变
DOI：
10.1159/000016595
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发表时间：
2000
期刊：
影响因子：
4.2
通讯作者：
George K. Stookey
中科院分区：
文献类型：
--
作者：
F. Ç. Yanikoglu;F. Öztürk;Osman Hayran;Mostafa Analoui;George K. Stookey
超声波作为无损测量方法之一已应用于工业领域。据推测，超声波的非破坏性可用于确定人类牙釉质上非空洞龋损的脱矿质。这项研究旨在使用超声波系统与放射线照相和组织学作为金标准进行比较，确定人类磨牙近端表面上是否存在天然龋齿病变。由 2 名检查者独立使用超声波系统直接对 20 颗有白斑龋损的下颌磨牙的近端表面进行测量。每个自然白斑病变的超声评估敏感性为 88%，特异性为 86%，阳性预测值为 88%，阴性预测值为 86%，与组织学相比，机会校正一致性也令人满意（κ=0.74）。 X 线照片显示第一位和第二位检查者的机会校正一致性分别为 0.41:0.38。完整和非空洞龋齿表面的邓肯测试分析数值显着不同（p<0.05）。结果表明，超声评估是检测天然白斑龋损的一种灵敏方法，并且可以在数值上区分牙釉质弹性特性的变化。
Ultrasound has been used in industrial business as one of the nondestructive measurement methods. It was hypothesized that nondestructiveness of the ultrasonics could be useful in determination of demineralization of noncavitated carious lesions on human enamel. This investigation was designed to determine the presence of natural carious lesions on proximal surfaces of human molar teeth using an ultrasonic system compared to radiography and histology as the gold standards. Measurements were made directly from proximal surfaces of 20 mandible molar teeth with white spot carious lesion by 2 examiners independently with the ultrasonic system. Ultrasonic evaluation of each natural white spot lesion had a sensitivity of 88%, specificity of 86%, positive predictive value of 88% and a negative predictive value of 86%, and the chance–corrected agreement was also satisfactory (κ=0.74) compared to histology. The radiograph demonstrated chance–corrected agreement of 0.41:0.38 for the first and second examiners, respectively. Duncan test analysis of the numerical values was significantly different for the intact and the noncavitated carious surfaces (p<0.05). The results indicated that the ultrasonic evaluation is a sensitive method for the detection of the natural white spot carious lesions and can differentiate the changes in elastic properties of enamel numerically.
影响因子：
4.2
作者：
Schneiderman, A;Elbaum, M;Driller, J
通讯作者：
Driller, J