Cross-sectional data accurately model longitudinal growth in the craniofacial skeleton.
Cross-sectional data accurately model longitudinal growth in the craniofacial skeleton.
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DOI：
10.1038/s41598-023-46018-x
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发表时间：
2023-11-07
影响因子：
4.6
通讯作者：
Sherwood, Richard J.
中科院分区：
文献类型：
--
作者：
Middleton, Kevin M.;Duren, Dana L.;McNulty, Kieran P.;Oh, Heesoo;Valiathan, Manish;Sherwood, Richard J.
密集的纵向取样是研究生物生长的理想方法。然而，由于时间限制、高昂的成本或重复放射成像的健康问题，纵向样本通常是不可能的。相比之下，横截面样本几乎没有这样的缺点，但它是不知道如何以及估计的增长里程碑可以从横截面样本。颅面生长联盟研究（CGCS）包含约2000人的纵向生长数据。来自CGCS的代表横截面数据的个体的单个样本用于测试按性别分别预测线性性状测量中生长参数的能力。在从5个到全部样本的横截面样本量范围内进行测试，我们发现重复样本的平均值能够近似于从全部纵向CGCS样本确定的生长率，在横截面样本量大于约200个个体时，平均绝对差异低于1 mm。我们的结果表明，与来自完整纵向数据的人口水平估计相比，可以根据横截面数据准确地估计生长参数和里程碑，这强调了此类数据集在生长建模中的实用性。该方法可以应用于其他形式的生长（例如，身高）和重复射线照相不可行的情况（例如，锥束CT）。
Dense, longitudinal sampling represents the ideal for studying biological growth. However, longitudinal samples are not typically possible, due to limits of time, prohibitive cost, or health concerns of repeat radiologic imaging. In contrast, cross-sectional samples have few such drawbacks, but it is not known how well estimates of growth milestones can be obtained from cross-sectional samples. The Craniofacial Growth Consortium Study (CGCS) contains longitudinal growth data for approximately 2000 individuals. Single samples from the CGCS for individuals representing cross-sectional data were used to test the ability to predict growth parameters in linear trait measurements separately by sex. Testing across a range of cross-sectional sample sizes from 5 to the full sample, we found that means from repeated samples were able to approximate growth rates determined from the full longitudinal CGCS sample, with mean absolute differences below 1 mm at cross-sectional sample sizes greater than ~ 200 individuals. Our results show that growth parameters and milestones can be accurately estimated from cross-sectional data compared to population-level estimates from complete longitudinal data, underscoring the utility of such datasets in growth modeling. This method can be applied to other forms of growth (e.g., stature) and to cases in which repeated radiographs are not feasible (e.g., cone-beam CT).
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