基于韩国和美国儿童的头脑测量地标的面生长预测模型
The Angle orthodontist
|January 12, 2025
概括
在使用同一个人群开发的模型时,面生长预测更准确. 使用来自不同人口的模型,如韩国和美国儿童,导致增长预测结果的显著差异.
科学领域:
- ортодонтика和面生长研究.
- 使用头测量分析进行骨评估.
背景情况:
- 准确的面生长预测对于正牙治疗规划至关重要.
- 现有的预测模型可能无法在不同种族的人口中普遍适用.
研究的目的:
- 从韩国和美国的纵向数据开发的面生长预测模型的准确性进行比较.
- 评估人口起源对增长预测模型可靠性的影响.
主要方法:
- 开发了使用部分最小方程方法的基于头计的增长预测模型.
- 利用了韩国 (n=679) 和美国 (n=1257) 儿童的纵向侧向脑图.
- 应用模型是从一个人群中开发出来的,用来预测另一个人群的增长,反之亦然.
主要成果:
- 使用同一个人口数据开发的增长预测模型的准确性明显更高 (P < .0001).
- 当从一个人群开发的模型应用于另一个人群时,观察到明显的差异,突出了种族差异.
- 该研究在视觉上证实了在增长预测中考虑人口特异性数据的重要性.
结论:
- 为了提高准确性,建议使用来自同一人群的面生长预测模型.
- 如果不考虑特定人群的特征,可能会导致 ортодонтика评估的重大预测错误.
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