Craniofacial growth percentile curves: A clinical tool from the Craniofacial Growth Consortium Study.

IF 3 2区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE
Heesoo Oh, Kevin M Middleton, Manish Valiathan, Dana L Duren, Kieran P McNulty, James A McNamara, Mark Hans, Richard J Sherwood
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引用次数: 0

Abstract

Introduction: This study aimed to develop new cephalometric standards incorporating samples from across North America, focusing on creating sex-specific percentile growth curves for craniofacial cephalometric measures using the extensive longitudinal data from the Craniofacial Growth Consortium Study.

Methods: This study comprised 2100 subjects (1056 males and 1044 females) with 17,290 lateral cephalometric radiographs, spanning ages of 2.5-31.3 years. Twenty-four linear cephalometric measurements were calculated, including traits from the basicranium, maxilla, and mandible. For each measurement, multilevel nonlinear growth models were used to estimate growth milestones by sex, percentile growth curves were created, and a web-interface tool was developed to facilitate the practical application of these growth curves.

Results: Growth milestones, including age at peak growth velocity and peak growth velocity, were estimated for each sex using double logistic growth models. The timing of peak growth velocity varies across different regions of the craniofacial complex. Craniofacial growth percentile curves were created and cross-validated. A web interface tool was created to allow users to retrieve individual-specific percentile scores.

Conclusions: The developed percentile growth curves and web-based tool offer a robust framework for clinicians to assess individual growth patterns, identify deviations from normative growth, and estimate future growth potential, supporting more personalized treatment planning and timing.

颅面生长百分位曲线:颅面生长联盟研究的临床工具。
本研究旨在开发新的颅面测量标准,包括来自北美各地的样本,重点是利用颅面生长联盟研究的广泛纵向数据创建颅面测量的性别特异性百分位生长曲线。方法:本研究包括2100名受试者(男性1056名,女性1044名),使用17290张侧位头颅x线片,年龄在2.5-31.3岁之间。计算了24个线性头测量值,包括基颅、上颌骨和下颌骨的特征。对于每一项测量,采用多层非线性生长模型按性别估计生长里程碑,创建了百分位数生长曲线,并开发了一个网络界面工具来促进这些生长曲线的实际应用。结果:使用双逻辑增长模型估计每个性别的生长里程碑,包括生长速度峰值和生长速度峰值时的年龄。生长速度峰值的时间在颅面复合体的不同区域是不同的。建立颅面生长百分位曲线并交叉验证。创建了一个网络界面工具,允许用户检索个人特定的百分位数分数。结论:开发的百分位生长曲线和基于网络的工具为临床医生提供了一个强大的框架来评估个体的生长模式,识别与规范生长的偏差,并估计未来的生长潜力,支持更个性化的治疗计划和时间安排。
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来源期刊
CiteScore
4.80
自引率
13.30%
发文量
432
审稿时长
66 days
期刊介绍: Published for more than 100 years, the American Journal of Orthodontics and Dentofacial Orthopedics remains the leading orthodontic resource. It is the official publication of the American Association of Orthodontists, its constituent societies, the American Board of Orthodontics, and the College of Diplomates of the American Board of Orthodontics. Each month its readers have access to original peer-reviewed articles that examine all phases of orthodontic treatment. Illustrated throughout, the publication includes tables, color photographs, and statistical data. Coverage includes successful diagnostic procedures, imaging techniques, bracket and archwire materials, extraction and impaction concerns, orthognathic surgery, TMJ disorders, removable appliances, and adult therapy.
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