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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:使用下前磨牙的X射线计算机断层摄影术进行年龄估计。

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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:牙髓与身体其他部位一样,显示出与年龄有关的变化。这项研究的目的是开发一种基于牙髓腔三维空间与牙齿总数之比的年龄估算方法。使用微聚焦X射线计算机断层摄影术(SMX-130CT,Shimadzu,Co.,Kyoto,Japan),计算牙齿的三维数字射线照相图像的牙髓腔容积。本研究中使用的标本是从六个10岁年龄组(年龄范围20-78岁)的患者中获得的,第一颗较低的前磨牙50颗和第二颗较低的第二磨牙前牙齿,没有龋齿或其他异常。每个样品通过微型CT成像以重建三维结构。使用重建的图像,牙齿和牙髓的体积在四个级别(冠状区域(L(1));冠状三分之一(L(2));中根(L(3));根尖的三分之一(L (4)))被测量。比较了六个年龄组的牙髓体积比平均值(PTVR(1-4)),并将这些值用作多元回归分析的变量。在所有年龄组中,冠状冠状根的三分之一(L(2))显示出最大的比率值,其次是L(3),L(4)和L(1)。观察不同年龄组的牙髓腔形态变化。 PTVR的价值随着年龄的增长而逐渐降低,其中最大的下降发生在20-50岁的年龄段,最明显的是L(2)水平。通过多元回归分析确定的四个变量的确定系数分别为较低的第一磨牙为0.635,较低的第二磨牙为0.703。在通过这种方法估计年龄的变量中,只有PTVR(2)在P <0.001时显示出显着的相关性。为了确定贡献最大的变量并优化模型,采用逐步回归方法,纳入水平为P <0.05。只有PTVR(2)变量对较低的第一前磨牙的适应性有显着贡献,而PTVR(1)和PTVR(2)的两个变量对较低的第二前磨牙有明显的影响。所选变量的确定系数对于较低的第一磨牙为0.625,对于较低的第二磨牙为0.698。牙髓体积比是一个与年龄相关的变量,可以用来以合理的准确性估计年龄。

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