Craniofacial growth and morphology among intersecting clinical categories.

Craniofacial growth and morphology among intersecting clinical categories.
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DOI:
10.1002/ar.24870
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发表时间:
2022-09
影响因子:
2
通讯作者:
Sherwood, Richard J.
Sherwood, Richard J.
中科院分区:
医学4区
文献类型:
--
作者:
Knigge, Ryan P.;Hardin, Anna M.;Middleton, Kevin M.;McNulty, Kieran P.;Oh, Hee Soo;Valiathan, Manish;Duren, Dana L.;Sherwood, Richard J.

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颅面生长的差异模式是导致骨性错牙合畸形的重要变异来源。了解与成人骨性错牙合相关的生长里程碑和形态变化的时间对于制定个性化正畸生长调节策略至关重要。为了确定生长的时间和几何形状的模式,我们使用了贝叶斯模型的头影测量和几何形态测量分析与密集的纵向样本,包括15,407头影,从1,913个2至31岁的个体。根据成人下颌平面角和ANB角将个体分别分为垂直面型(hyper-、normo-、hypo-divergent)和前后(A-P)骨型(Class I、Class II、Class III)。这些分类产生了8个面部类型骨骼类类别,有足够的样本量被纳入研究。代表面部高度和上颌骨和下颌骨长度的四个线性头影测量被拟合到标准双逻辑模型中,该模型生成年龄、尺寸和生长里程碑处的生长速率的类型类别特异性估计值。在6至20岁之间的四个时间点,对类型-类别类别之间的平均地标配置进行比较。总体而言,形态和生长模式更相似的垂直面型内比A-P类和A-P类之间的变化通常嵌套在垂直类型之间的变化。此外,在这里确定的特定区域的生长速度和幅度的类型-类别相关的变化可以作为复杂的垂直和A-P骨骼错牙合的临床治疗的目标,并提供了一个更清晰的图片的发展变化颅面形状。
Differential patterns of craniofacial growth are important sources of variation that can result in skeletal malocclusion. Understanding the timing of growth milestones and morphological change associated with adult skeletal malocclusions is critical for developing individualized orthodontic growth modification strategies. To identify patterns in the timing and geometry of growth, we used Bayesian modeling of cephalometrics and geometric morphometric analyses with a dense, longitudinal sample consisting of 15,407 cephalograms from 1,913 individuals between 2 and 31 years of age. Individuals were classified into vertical facial types (hyper-, normo-, hypo-divergent) and anteroposterior (A-P) skeletal classes (Class I, Class II, Class III) based on adult mandibular plane angle and ANB angle, respectively. These classifications yielded eight facial type-skeletal class categories with sufficient sample sizes to be included in the study. Four linear cephalometrics representing facial heights and maxillary and mandibular lengths were fit to standard double logistic model generating type-class category-specific estimates for age, size, and rate of growth at growth milestones. Mean landmark configurations were compared among type-class categories at four time points between 6 and 20 years of age. Overall, morphology and growth patterns were more similar within vertical facial types than within A-P classes and variation among A-P classes typically nested within variation among vertical types. Further, type-class-associated variation in the rate and magnitude of growth in specific regions identified here may serve as targets for clinical treatment of complex vertical and A-P skeletal malocclusion and provide a clearer picture of the development of variation in craniofacial form.
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