用demirjian法对沙特儿童牙成熟度的比较研究及新的预测模型。

ISRN dentistry Pub Date : 2013-01-01 Epub Date: 2013-02-26 DOI:10.1155/2013/390314
Ziad D Baghdadi
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引用次数: 40

摘要

收集了422张已知年龄(4 - 14岁)、性别(男性217人、女性205人)和种族(沙特阿拉伯人)的牙科全景x线片样本。使用Demirjian方法计算每个个体的牙齿成熟评分。然后使用基于法裔加拿大人口的原始Demirjian曲线和表格以及阿拉伯(沙特阿拉伯和科威特)和欧洲(比利时)人口的人口特定曲线和表格来估计年龄。使用配对t检验、单因素方差分析检验和事后scheff检验对牙龄和实足年龄的差异进行分析和比较。采用法加标准的Demirjian方法显示,在整个样本和绝大多数年龄组的男女中,牙齿年龄和实足年龄之间存在显著差异。平均年龄高估约10个月(P < 0.05)。专门为阿拉伯人口设计的表格的误差明显低于为法裔加拿大人和比利时人设计的表格。后者的年龄预测误差最大。基于Demirjian方法,利用多项函数建立了新的沙特人口年龄预测模型和成熟评分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Dental maturity in saudi children using the demirjian method: a comparative study and new prediction models.

Dental maturity in saudi children using the demirjian method: a comparative study and new prediction models.

Dental maturity in saudi children using the demirjian method: a comparative study and new prediction models.

Dental maturity in saudi children using the demirjian method: a comparative study and new prediction models.

A sample of 422 dental panoramic radiographs from individuals of known age (from 4 to 14 yrs), sex (males: 217, females: 205), and ethnicity (Saudi) was collected. A dental maturation score for each individual was calculated using the Demirjian method. Age was then estimated using the original Demirjian curves and tables based on French-Canadian population and population-specific curves and tables for Arab (Saudi and Kuwaiti) and European (Belgian) populations. The differences between dental age and chronological age were analyzed and compared using paired t-tests, one-way ANOVA test, and a post hoc Scheffé's test. The Demirjian method utilizing French-Canadian standards presented significant difference between dental age and chronological age for the total sample and in the vast majority of age groups in both sexes. The mean overestimation of age was about 10 months (P < 0.05). The tables designed specifically for Arab populations had a significantly lower error than the tables designed for French-Canadian and Belgian populations. The latter had the largest error in age predication. New age prediction models and maturation scores for Saudi population were developed based on the Demirjian method using multinomial functions.

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