Literature DB >> 12411883

Cervical vertebral bone age in girls.

Toshinori Mito1, Koshi Sato, Hideo Mitani.   

Abstract

The purpose of this study was to establish cervical vertebral bone age as a new index for objectively evaluating skeletal maturation on cephalometric radiographs. Using cephalometric radiographs of 176 girls (ages 7.0-14.9 years), we measured cervical vertebral bodies and determined a regression formula to obtain cervical vertebral bone age. Next, using cephalometric and hand-wrist radiographs of another 66 girls (ages 8.0-13.9 years), we determined the correlation between cervical vertebral bone age and bone age using the Tanner-Whitehouse 2 method. The following results were obtained: (1) a regression formula was determined to obtain cervical vertebral bone age based on ratios of measurements in the third and fourth cervical vertebral bodies; (2) the correlation coefficient for the relationship between cervical vertebral bone age and bone age (0.869) was significantly (P <.05) higher than that for the relationship between cervical vertebral bone age and chronological age (0.705); and (3) the difference (absolute value) between the cervical vertebral bone age and bone age (0.75 years) was significantly (P <.001) smaller than that between cervical vertebral bone age and chronological age (1.17 years). These results suggest that cervical vertebral bone age reflects skeletal maturity because it approximates bone age, which is considered to be the most reliable method for evaluating skeletal maturation. Using cervical vertebral bone age, it might be possible to evaluate maturity in a detailed and objective manner on cephalometric radiographs.

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Mesh:

Year:  2002        PMID: 12411883     DOI: 10.1067/mod.2002.126896

Source DB:  PubMed          Journal:  Am J Orthod Dentofacial Orthop        ISSN: 0889-5406            Impact factor:   2.650


  26 in total

1.  Age estimation in children and young adolescents for forensic purposes using fourth cervical vertebra (C4).

Authors:  R Cameriere; A Giuliodori; M Zampi; I Galić; M Cingolani; F Pagliara; L Ferrante
Journal:  Int J Legal Med       Date:  2014-11-11       Impact factor: 2.686

2.  Mandibular ramus length as an indicator of chronological age and sex.

Authors:  Fernando Toledo de Oliveira; Mariana Quirino Silveira Soares; Viviane Almeida Sarmento; Cassia Maria Fischer Rubira; José Roberto Pereira Lauris; Izabel Regina Fischer Rubira-Bullen
Journal:  Int J Legal Med       Date:  2014-10-01       Impact factor: 2.686

3.  A practical formula for determining growth.

Authors:  Çağrı Türkoz; Emine Kaygısız; Çağrı Ulusoy; Can Ateş
Journal:  Diagn Interv Radiol       Date:  2017 May-Jun       Impact factor: 2.630

4.  The usefulness of dental and cervical maturation stages in New Zealand children for Disaster Victim Identification.

Authors:  Kimberley Timmins; Helen Liversidge; Mauro Farella; Peter Herbison; Jules Kieser
Journal:  Forensic Sci Med Pathol       Date:  2011-06-11       Impact factor: 2.007

5.  New software for cervical vertebral geometry assessment and its relationship to skeletal maturation--a pilot study.

Authors:  R C Santiago; A R Cunha; G C Júnior; N Fernandes; M J S Campos; L F M Costa; R W F Vitral; A M Bolognese
Journal:  Dentomaxillofac Radiol       Date:  2013-12-06       Impact factor: 2.419

6.  The estimation of skeletal maturity of patients with cleft lip and palate using statistical shape analysis: a preliminary study.

Authors:  Sung-Hun Kim; Youn-Kyung Choi; Sang Min Shin; Yong-Seok Choi; Tetsutaro Yamaguchi; Masahiro Takahashi; Koutaro Maki; Soo-Byung Park; Yong-Il Kim
Journal:  Dentomaxillofac Radiol       Date:  2017-05-16       Impact factor: 2.419

7.  Quantitative skeletal maturation estimation using cone-beam computed tomography-generated cervical vertebral images: a pilot study in 5- to 18-year-old Japanese children.

Authors:  Bo-Ram Byun; Yong-Il Kim; Tetsutaro Yamaguchi; Koutaro Maki; Ching-Chang Ko; Dea-Seok Hwang; Soo-Byung Park; Woo-Sung Son
Journal:  Clin Oral Investig       Date:  2015-02-12       Impact factor: 3.573

8.  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

9.  Duration of the pubertal peak in skeletal Class I and Class III subjects.

Authors:  Małgorzata Kuc-Michalska; Tiziano Baccetti
Journal:  Angle Orthod       Date:  2010-01       Impact factor: 2.079

10.  Predictive accuracy of estimating mandibular growth potential by regression equation using cervical vertebral bone age.

Authors:  Sneh Lata Verma; Tripti Tikku; Rohit Khanna; Rana Pratap Maurya; Kamna Srivastava; Vishal Singh
Journal:  Natl J Maxillofac Surg       Date:  2021-03-16
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