• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种基于颈椎形态预测下颌骨最终长度的新方法。

A New Method of Predicting Final Mandibular Length Based on the Morphology of Cervical Vertebrae.

作者信息

Yamaguchi Manami, Kim Yong-Il, Park Heetae, Yamaguchi Tetsutaro

机构信息

Department of Orthodontics, School of Dentistry, Kanagawa Dental University, Yokosuka 238-8580, Japan.

Department of Orthodontics, School of Dentistry, Pusan National University, Yangsan 50612, Republic of Korea.

出版信息

Diagnostics (Basel). 2024 Dec 21;14(24):2879. doi: 10.3390/diagnostics14242879.

DOI:10.3390/diagnostics14242879
PMID:39767240
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11675625/
Abstract

BACKGROUND/OBJECTIVES: Methods for predicting final mandibular length have been studied for many years. We aimed to estimate the final mandibular length at the end of the growth period by analyzing changes in cervical vertebral morphology using longitudinal lateral cephalograms.

METHODS

Longitudinal lateral cephalograms of elementary school students aged 6-15 who did not undergo orthodontic treatment, collected between 1965 and 1973, were used. For this analysis, 370 images from 44 female individuals were selected, and cervical vertebral morphology was assessed using the semi-landmark method. Generalized Procrustes analysis and principal component analysis were performed, and changes in maxillofacial skeletal and cervical vertebral morphology were analyzed using a linear mixed model with repeated measures. A predictive formula for estimating final mandibular length was developed based on morphological changes in the fourth cervical vertebra.

RESULTS

The difference between the predicted and actual final mandibular lengths using the semi-landmark method was 0.17 ± 0.08 mm. The marginal R value of the prediction formula was 0.957, and the conditional R was 0.990, demonstrating very high accuracy. The annual increase in mandibular length remained consistent each year but slowed after 14 years of age. Geometric morphometric analysis revealed significant morphological changes in the fourth cervical vertebra at 14 years of age, coinciding with a deceleration in mandibular growth.

CONCLUSIONS

A highly accurate formula was developed to predict final mandibular length based on morphological changes in the fourth cervical vertebra. Cervical vertebral morphology may provide valuable information related to mandibular growth during adolescence.

摘要

背景/目的:预测下颌骨最终长度的方法已研究多年。我们旨在通过分析纵向头颅侧位片上颈椎形态的变化,来估计生长发育期结束时的下颌骨最终长度。

方法

使用1965年至1973年间收集的6至15岁未接受正畸治疗的小学生的纵向头颅侧位片。本次分析选取了44名女性个体的370张图像,采用半地标法评估颈椎形态。进行了广义Procrustes分析和主成分分析,并使用重复测量的线性混合模型分析颌面骨骼和颈椎形态的变化。基于第四颈椎的形态变化,开发了一个估计下颌骨最终长度的预测公式。

结果

使用半地标法预测的下颌骨最终长度与实际最终长度之间的差异为0.17±0.08毫米。预测公式的边际R值为0.957,条件R为0.990,显示出非常高的准确性。下颌骨长度的年增长量每年保持一致,但在14岁后放缓。几何形态计量学分析显示,14岁时第四颈椎有明显的形态变化,这与下颌骨生长减速相吻合。

结论

基于第四颈椎的形态变化,开发了一个高度准确的公式来预测下颌骨最终长度。颈椎形态可能为青春期下颌骨生长提供有价值的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/543e/11675625/54621e3809a4/diagnostics-14-02879-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/543e/11675625/89550fd471e0/diagnostics-14-02879-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/543e/11675625/af141cf8573a/diagnostics-14-02879-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/543e/11675625/698363628279/diagnostics-14-02879-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/543e/11675625/2af60e63f025/diagnostics-14-02879-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/543e/11675625/54621e3809a4/diagnostics-14-02879-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/543e/11675625/89550fd471e0/diagnostics-14-02879-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/543e/11675625/af141cf8573a/diagnostics-14-02879-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/543e/11675625/698363628279/diagnostics-14-02879-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/543e/11675625/2af60e63f025/diagnostics-14-02879-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/543e/11675625/54621e3809a4/diagnostics-14-02879-g005.jpg

相似文献

1
A New Method of Predicting Final Mandibular Length Based on the Morphology of Cervical Vertebrae.一种基于颈椎形态预测下颌骨最终长度的新方法。
Diagnostics (Basel). 2024 Dec 21;14(24):2879. doi: 10.3390/diagnostics14242879.
2
An improved version of the cervical vertebral maturation (CVM) method for the assessment of mandibular growth.一种用于评估下颌生长的颈椎成熟度(CVM)方法的改进版本。
Angle Orthod. 2002 Aug;72(4):316-23. doi: 10.1043/0003-3219(2002)072<0316:AIVOTC>2.0.CO;2.
3
Morphometric analysis of cervical vertebrae in relation to mandibular growth.与下颌生长相关的颈椎形态计量分析。
Am J Orthod Dentofacial Orthop. 2016 Jan;149(1):92-8. doi: 10.1016/j.ajodo.2015.06.028.
4
Predicting mandibular growth increment on the basis of cervical vertebral dimensions in Iranian girls.基于颈椎尺寸预测伊朗女孩下颌骨生长增量
Prog Orthod. 2013 May 20;14(1):3. doi: 10.1186/2196-1042-14-3.
5
Predictive accuracy of estimating mandibular growth potential by regression equation using cervical vertebral bone age.使用颈椎骨龄通过回归方程估计下颌生长潜力的预测准确性。
Natl J Maxillofac Surg. 2021 Jan-Apr;12(1):25-35. doi: 10.4103/njms.NJMS_264_20. Epub 2021 Mar 16.
6
Predicting mandibular growth potential with cervical vertebral bone age.利用颈椎骨龄预测下颌骨生长潜力。
Am J Orthod Dentofacial Orthop. 2003 Aug;124(2):173-7. doi: 10.1016/s0889-5406(03)00401-3.
7
Predicting Mandibular Growth Potential Based on Cervical Vertebral Bone Age Using Lateral Cephalometric Radiographs in a Sample of the Saudi Population.在沙特人群样本中,利用头颅侧位X线片基于颈椎骨龄预测下颌生长潜力
Diagnostics (Basel). 2024 Sep 26;14(19):2145. doi: 10.3390/diagnostics14192145.
8
Predicting mandibular growth based on CVM stage and gender and with chronological age as a curvilinear variable.基于 CVM 分期、性别并以年龄为曲线变量预测下颌骨生长。
Orthod Craniofac Res. 2021 Aug;24(3):414-420. doi: 10.1111/ocr.12457. Epub 2020 Dec 23.
9
The pattern of facial skeletal growth and its relationship to various common indexes of maturation.面部骨骼生长模式及其与各种常见成熟指标的关系。
Am J Orthod Dentofacial Orthop. 2013 Jun;143(6):845-54. doi: 10.1016/j.ajodo.2013.01.019.
10
Estimating mandibular growth stage based on cervical vertebral maturation in lateral cephalometric radiographs using artificial intelligence.基于人工智能的侧位头颅侧位片颈椎成熟度评估下颌骨生长阶段。
Prog Orthod. 2024 Jun 24;25(1):28. doi: 10.1186/s40510-024-00527-1.

引用本文的文献

1
Growth Prediction in Orthodontics: ASystematic Review of Past Methods up to Artificial Intelligence.正畸学中的生长预测:对直至人工智能的既往方法的系统评价。
Children (Basel). 2025 Aug 3;12(8):1023. doi: 10.3390/children12081023.
2
Rare pancreatic ductal adenocarcinoma variants and other malignant epithelial tumors: a comprehensive clinical and radiologic review.罕见的胰腺导管腺癌变异型及其他恶性上皮性肿瘤:一项全面的临床与放射学综述
Jpn J Radiol. 2025 Apr 11. doi: 10.1007/s11604-025-01777-7.

本文引用的文献

1
Accuracy of artificial intelligence-assisted growth prediction in skeletal Class I preadolescent patients using serial lateral cephalograms for a 2-year growth interval.利用 2 年生长间隔的系列侧位头颅侧位片预测骨骼 I 类青春期前患者生长的人工智能准确性。
Orthod Craniofac Res. 2024 Aug;27(4):535-543. doi: 10.1111/ocr.12764. Epub 2024 Feb 6.
2
Comparison of individualized facial growth prediction models based on the partial least squares and artificial intelligence.基于偏最小二乘法和人工智能的个体化面部生长预测模型比较。
Angle Orthod. 2024 Mar 1;94(2):207-215. doi: 10.2319/031723-181.1.
3
Prediction of the Post-Pubertal Mandibular Length and Y Axis of Growth by Using Various Machine Learning Techniques: A Retrospective Longitudinal Study.
运用多种机器学习技术预测青春期后下颌长度及Y轴生长:一项回顾性纵向研究
Diagnostics (Basel). 2023 Apr 26;13(9):1553. doi: 10.3390/diagnostics13091553.
4
Skeletal age assessed by TW2 using 20-bone, carpal and RUS score systems: Intra-observer and inter-observer agreement among male pubertal soccer players.TW2 法评估 20 块骨、腕骨和桡骨超声评分系统的骨骼年龄:男性青春期足球运动员中观察者内和观察者间的一致性。
PLoS One. 2022 Aug 23;17(8):e0271386. doi: 10.1371/journal.pone.0271386. eCollection 2022.
5
Evaluation of an individualized facial growth prediction model based on the multivariate partial least squares method.基于多元偏最小二乘法的个体化面部生长预测模型评估。
Angle Orthod. 2022 Nov 1;92(6):705-713. doi: 10.2319/110121-807.1.
6
Evaluation of maxillary and mandibular growth patterns with cephalometric analysis based on cervical vertebral maturation: A Japanese cross-sectional study.基于颈椎成熟度的头影测量分析评估上颌和下颌生长模式:一项日本横断面研究。
PLoS One. 2022 Apr 6;17(4):e0265272. doi: 10.1371/journal.pone.0265272. eCollection 2022.
7
Craniofacial changes from 13 to 62 years of age.从 13 岁到 62 岁的颅面变化。
Eur J Orthod. 2022 Sep 19;44(5):556-565. doi: 10.1093/ejo/cjac011.
8
Assessing cervical spine and craniofacial morphology in Class II and Class III malocclusions: A geometric morphometric approach.评估 II 类和 III 类错颌畸形的颈椎和颅面形态:一种几何形态测量方法。
Cranio. 2024 Jul;42(4):450-460. doi: 10.1080/08869634.2021.1987040. Epub 2021 Oct 8.
9
Predicting mandibular growth based on CVM stage and gender and with chronological age as a curvilinear variable.基于 CVM 分期、性别并以年龄为曲线变量预测下颌骨生长。
Orthod Craniofac Res. 2021 Aug;24(3):414-420. doi: 10.1111/ocr.12457. Epub 2020 Dec 23.
10
Development and validation of a formula for objective assessment of cervical vertebral bone age.制定并验证一种用于客观评估颈椎骨龄的公式。
Prog Orthod. 2020 Oct 12;21(1):38. doi: 10.1186/s40510-020-00338-0.