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首页> 外文期刊>Forensic science international >Age estimation using microfocus X-ray computed tomography of lower premolars.
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Age estimation using microfocus X-ray computed tomography of lower premolars.

机译:使用较低前磨的微孔X射线计算断层扫描的年龄估计。

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摘要

The dental pulp, like other parts of the body, shows age-related changes. The aim of this study was to develop an age estimation method based on the ratio of the three-dimensional volume of the pulp chamber compared to the total tooth. Pulp chamber volumes were calculated using microfocus X-ray computed tomography (SMX-130CT, Shimadzu, Co., Kyoto, Japan) of the three-dimensional digital radiographic images of teeth. The specimens used in this study were 50 lower first and 50 lower second premolar teeth without caries or other abnormalities, obtained from patients in six 10-year age groups (age range 20-78 years). Each specimen was imaged by a micro-CT to reconstruct the three-dimensional structure. Using the reconstructed images, the tooth and pulp volumes at four levels (crown area (L(1)); coronal one third (L(2)); midroot (L(3)), and apical one third of the root (L(4))) were measured. Mean values of the pulp-tooth volume ratio (PTVR(1-4)) were compared between the six age groups and these values were used as the variables for the multiple regression analysis. The coronal one third of the root (L(2)) showed the greatest ratio values, followed by L(3), L(4) and L(1) in all age groups. Morphological changes of the pulp cavity in different age groups were observed. PTVR gradually reduced in value with increasing age, with the steepest reduction occurring in the 20-50 age range, and most noticeably at the L(2) level. The coefficients of determination by multiple regression analysis for four variables were 0.635 for lower first and 0.703 for lower second premolars. Among the variables used for estimating age by this method, only PTVR(2) showed a significant correlation at P<0.001. To determine the variables with the most significant contribution and to optimize the models, stepwise regression method was applied with inclusion level at P<0.05. Only the variable of PTVR(2) contributed significantly to the fit for lower first premolar whereas the two variables of PTVR(1) and PTVR(2) for lower second premolars. The coefficients of determination for the chosen variables were 0.625 for lower first and 0.698 for lower second premolars. Pulp-tooth volume ratio is an age-dependent variable that can be used to estimate age with reasonable accuracy.
机译:与身体的其他部位一样,牙科纸浆显示出与年龄相关的变化。本研究的目的是通过与总齿相比,基于纸浆室的三维体积的比率进行年龄估计方法。使用微孔X射线计算机断层扫描(SMX-130ct,Shimadzu,Co.,Co.,Kyoto,Japan)的牙齿的三维数字放射线图像计算纸浆室。本研究中使用的标本在六名10年龄组(20-78岁年龄范围)中获得50次没有龋齿或其他异常的50次下降50次较低的初级牙齿。通过微型CT成像每个样本以重建三维结构。使用重建的图像,牙齿和纸浆体积在四个水平(冠区域(L(1));冠状三分之一(L(2));潜水机(L(3))和根的顶端(L(3)) (4)))被测量。比较六个年龄组之间的纸浆齿体积比(PTVR(1-4))的平均值,并使用这些值作为多元回归分析的变量。冠状三分之一的根(L(2))显示最大的比例值,其次是所有年龄组中的L(3),L(4)和L(1)。观察到不同年龄组中纸浆腔的形态变化。 PTVR随着年龄的增加而逐渐减少,在20-50岁范围内发生截至最陡峭的降低,并且在L(2)水平下最明显。对于四个变量的多元回归分析的测定系数为0.635,较低的秒和0.703,用于较低第二初前。在通过该方法估计年龄的变量中,仅PTVR(2)显示在P <0.001的显着相关性。为了确定具有最大贡献和优化模型的变量,逐步回归方法在P <0.05时涂覆夹杂物。只有PTVR(2)的变量显着贡献到适合于较低的前磨牙,而PTVR(1)和PTVR(2)的两个变量用于较低的第二次前磨。所选变量的测定系数为低于第一和0.698的0.625,用于较低第二初前。纸浆齿体积比是可依赖于年龄依赖性变量,可用于估计具有合理精度的年龄。

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