Biology Department, Western Oregon University, Monmouth, OR, USA.
Department of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, MO, USA.
Cleft Palate Craniofac J. 2022 Feb;59(2):230-238. doi: 10.1177/10556656211002675. Epub 2021 May 17.
To identify differences between asymptote- and rate-based methods for estimating age and size at growth cessation in linear craniofacial measurements.
This is a retrospective, longitudinal study. Five linear measurements were collected from lateral cephalograms as part of the Craniofacial Growth Consortium Study (CGCS). Four estimates of growth cessation, including 2 asymptote- (GC, GC) and 2 rate-based (GC, GC) methods, from double logistic models of craniofacial growth were compared.
Cephalometric data from participants in 6 historic longitudinal growth studies were included in the CGCS. At least 1749 individuals (870 females, 879 males), unaffected by craniofacial anomalies, were included in all analyses. Individuals were represented by a median of 11 images between 2.5 and 31.3 years of age.
GC consistently occurred before GC and GC consistently occurred before GC within the rate-based approaches. The ordering of the asymptote-based methods compared to the rate-based methods was not consistent across measurements or between males and females. Across the 5 measurements, age at growth cessation ranged from 13.56 (females, nasion-basion, GC) to 24.39 (males, sella-gonion, GC).
Adolescent growth cessation is an important milestone for treatment planning. Based on our findings, we recommend careful consideration of specific definitions of growth cessation in both clinical and research settings since the most appropriate estimation method may differ according to patients' needs. The different methods presented here provide useful estimates of growth cessation that can be applied to raw data and to a variety of statistical models of craniofacial growth.
确定线性颅面测量中用于估计生长停止时年龄和大小的渐近法和速率法之间的差异。
这是一项回顾性、纵向研究。5 项线性测量作为颅面生长联合体研究(CGCS)的一部分从侧位头颅侧位片上收集。比较了 4 种生长停止估计值,包括 2 种渐近法(GC、GC)和 2 种速率法(GC、GC),来自颅面生长的双逻辑模型。
CGCS 纳入了来自 6 项历史纵向生长研究的参与者的头颅测量数据。所有分析均纳入了至少 1749 名(870 名女性,879 名男性)无颅面畸形的个体。个体在 2.5 至 31.3 岁之间代表中位数为 11 个图像。
GC 始终先于 GC 发生,GC 始终先于 GC 发生在速率法方法中。在测量或男性和女性之间,渐近法与速率法方法的排序不一致。在 5 项测量中,生长停止的年龄范围从女性的鼻根-颏点(GC)的 13.56 岁到男性的蝶鞍-下颌角(GC)的 24.39 岁。
青春期生长停止是治疗计划的重要里程碑。根据我们的发现,我们建议在临床和研究环境中仔细考虑生长停止的具体定义,因为最适当的估计方法可能根据患者的需求而有所不同。这里提出的不同方法提供了生长停止的有用估计值,可以应用于原始数据和各种颅面生长的统计模型。