Literature DB >> 20435439

Quantitative skeletal evaluation based on cervical vertebral maturation: a longitudinal study of adolescents with normal occlusion.

L Chen1, J Liu, T Xu, X Long, J Lin.   

Abstract

The study aims were to investigate the correlation between vertebral shape and hand-wrist maturation and to select characteristic parameters of C2-C5 (the second to fifth cervical vertebrae) for cervical vertebral maturation determination by mixed longitudinal data. 87 adolescents (32 males, 55 females) aged 8-18 years with normal occlusion were studied. Sequential lateral cephalograms and hand-wrist radiographs were taken annually for 6 consecutive years. Lateral cephalograms were divided into 11 maturation groups according to Fishman Skeletal Maturity Indicators (SMI). 62 morphological measurements of C2-C5 at 11 different developmental stages (SMI1-11) were measured and analysed. Locally weighted scatterplot smoothing, correlation coefficient analysis and variable cluster analysis were used for statistical analysis. Of the 62 cervical vertebral parameters, 44 were positively correlated with SMI, 6 were negatively correlated and 12 were not correlated. The correlation coefficients between cervical vertebral parameters and SMI were relatively high. Characteristic parameters for quantitative analysis of cervical vertebral maturation were selected. In summary, cervical vertebral maturation could be used reliably to evaluate the skeletal stage instead of the hand-wrist radiographic method. Selected characteristic parameters offered a simple and objective reference for the assessment of skeletal maturity and timing of orthognathic surgery. Copyright 2010 International Association of Oral and Maxillofacial Surgeons. Published by Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20435439     DOI: 10.1016/j.ijom.2010.03.026

Source DB:  PubMed          Journal:  Int J Oral Maxillofac Surg        ISSN: 0901-5027            Impact factor:   2.789


  9 in total

1.  Human age estimation combining third molar and skeletal development.

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2.  Accuracy and repeatability of computer aided cervical vertebra landmarking in cephalogram.

Authors:  Lili Chen; Zhicong Lan; Xiangyang Xu; Jiuxiang Lin; Huaifei Hu
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3.  Development of a multi-stage model for intelligent and quantitative appraising of skeletal maturity using cervical vertebras cone-beam CT images of Chinese girls.

Authors:  Lizhe Xie; Wen Tang; Iman Izadikhah; Zhenqi Zhao; Yang Zhao; Hu Li; Bin Yan
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-01-04       Impact factor: 2.924

Review 4.  Can IGF-1 serve as a reliable skeletal maturity indicator? A meta-analysis.

Authors:  A Selva Arockiam; R Uma Maheswari; R Devaki Vijayalakshmi; S Abinaya
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5.  Intelligent quantitative assessment of skeletal maturation based on multi-stage model: a retrospective cone-beam CT study of cervical vertebrae.

Authors:  Lizhe Xie; Wen Tang; Iman Izadikhah; Xiaoyu Chen; Zhenqi Zhao; Yang Zhao; Hu Li; Bin Yan
Journal:  Oral Radiol       Date:  2021-09-23       Impact factor: 1.882

6.  Evaluation of the Artificial Neural Network and Naive Bayes Models Trained with Vertebra Ratios for Growth and Development Determination.

Authors:  Hatice Kök; Mehmet Said İzgi; Ayşe Merve Acılar
Journal:  Turk J Orthod       Date:  2020-12-02

7.  Usage and comparison of artificial intelligence algorithms for determination of growth and development by cervical vertebrae stages in orthodontics.

Authors:  Hatice Kök; Ayse Merve Acilar; Mehmet Said İzgi
Journal:  Prog Orthod       Date:  2019-11-15       Impact factor: 2.750

8.  Cervical vertebral maturation (CVM) stage as a supplementary indicator for the assessment of peak height velocity (PHV) in adolescent idiopathic scoliosis (AIS).

Authors:  Yuancheng Zhang; Shibin Shu; Qi Gu; Zhen Liu; Zezhang Zhu; Yong Qiu; Hongda Bao
Journal:  Quant Imaging Med Surg       Date:  2020-01

9.  Cervical Vertebral Body's Volume as a New Parameter for Predicting the Skeletal Maturation Stages.

Authors:  Youn-Kyung Choi; Jinmi Kim; Tetsutaro Yamaguchi; Koutaro Maki; Ching-Chang Ko; Yong-Il Kim
Journal:  Biomed Res Int       Date:  2016-06-02       Impact factor: 3.411

  9 in total

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