Literature DB >> 25670533

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

Bo-Ram Byun1, Yong-Il Kim2,3, Tetsutaro Yamaguchi4, Koutaro Maki4, Ching-Chang Ko5, Dea-Seok Hwang6, Soo-Byung Park1, Woo-Sung Son1.   

Abstract

OBJECTIVES: The purpose of this study was to establish multivariable regression models for the estimation of skeletal maturation status in Japanese boys and girls using the cone-beam computed tomography (CBCT)-based cervical vertebral maturation (CVM) assessment method and hand-wrist radiography.
MATERIALS AND METHODS: The analyzed sample consisted of hand-wrist radiographs and CBCT images from 47 boys and 57 girls. To quantitatively evaluate the correlation between the skeletal maturation status and measurement ratios, a CBCT-based CVM assessment method was applied to the second, third, and fourth cervical vertebrae. Pearson's correlation coefficient analysis and multivariable regression analysis were used to determine the ratios for each of the cervical vertebrae (p < 0.05).
RESULTS: Four characteristic parameters ((OH2 + PH2)/W2, (OH2 + AH2)/W2, D2, AH3/W3), as independent variables, were used to build the multivariable regression models: for the Japanese boys, the skeletal maturation status according to the CBCT-based quantitative cervical vertebral maturation (QCVM) assessment was 5.90 + 99.11 × AH3/W3 - 14.88 × (OH2 + AH2)/W2 + 13.24 × D2; for the Japanese girls, it was 41.39 + 59.52 × AH3/W3 - 15.88 × (OH2 + PH2)/W2 + 10.93 × D2.
CONCLUSIONS: The CBCT-generated CVM images proved very useful to the definition of the cervical vertebral body and the odontoid process. The newly developed CBCT-based QCVM assessment method showed a high correlation between the derived ratios from the second cervical vertebral body and odontoid process. CLINICAL RELEVANCE: There are high correlations between the skeletal maturation status and the ratios of the second cervical vertebra based on the remnant of dentocentral synchondrosis.

Entities:  

Keywords:  Cervical vertebra; Dentocentral synchondrosis; Regression model; Skeletal maturation

Mesh:

Year:  2015        PMID: 25670533     DOI: 10.1007/s00784-015-1415-6

Source DB:  PubMed          Journal:  Clin Oral Investig        ISSN: 1432-6981            Impact factor:   3.573


  18 in total

1.  Growth of the cervical vertebrae in girls from 8 to 17 years. A longitudinal study.

Authors:  Müge Altan; Öykü Nebioğlu Dalci; Haluk İseri
Journal:  Eur J Orthod       Date:  2011-04-21       Impact factor: 3.075

2.  An improved version of the cervical vertebral maturation (CVM) method for the assessment of mandibular growth.

Authors:  Tiziano Baccetti; Lorenzo Franchi; James A McNamara
Journal:  Angle Orthod       Date:  2002-08       Impact factor: 2.079

3.  Skeletal maturation determined by cervical vertebrae development.

Authors:  Paloma San Román; Juan Carlos Palma; M Dolores Oteo; Esther Nevado
Journal:  Eur J Orthod       Date:  2002-06       Impact factor: 3.075

4.  Cervical vertebrae maturation method: poor reproducibility.

Authors:  Daniel B Gabriel; Karin A Southard; Fang Qian; Steven D Marshall; Robert G Franciscus; Thomas E Southard
Journal:  Am J Orthod Dentofacial Orthop       Date:  2009-10       Impact factor: 2.650

5.  Radiographic evaluation of skeletal maturation. A clinically oriented method based on hand-wrist films.

Authors:  L S Fishman
Journal:  Angle Orthod       Date:  1982-04       Impact factor: 2.079

6.  Relationships between dental and skeletal maturity in Turkish subjects.

Authors:  Tancan Uysal; Zafer Sari; Sabri Ilhan Ramoglu; Faruk Ayhan Basciftci
Journal:  Angle Orthod       Date:  2004-10       Impact factor: 2.079

7.  Maturation indicators and the pubertal growth spurt.

Authors:  U Hägg; J Taranger
Journal:  Am J Orthod       Date:  1982-10

8.  Axial cervical vertebrae-based multivariate regression model for the estimation of skeletal-maturation status.

Authors:  Y-M Yang; J Lee; Y-I Kim; B-H Cho; S-B Park
Journal:  Orthod Craniofac Res       Date:  2014-04-11       Impact factor: 1.826

9.  Quantitative cervical vertebral maturation assessment in adolescents with normal occlusion: a mixed longitudinal study.

Authors:  Li-Li Chen; Tian-Min Xu; Jiu-Hui Jiang; Xing-Zhong Zhang; Jiu-Xiang Lin
Journal:  Am J Orthod Dentofacial Orthop       Date:  2008-12       Impact factor: 2.650

10.  Semilongitudinal cephalometric study of craniofacial growth in untreated Class III malocclusion.

Authors:  Ann E Zionic Alexander; James A McNamara; Lorenzo Franchi; Tiziano Baccetti
Journal:  Am J Orthod Dentofacial Orthop       Date:  2009-06       Impact factor: 2.650

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  9 in total

1.  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

2.  Evaluation of the compatibility of C2, C3, and C4 fractal dimension values with hand-wrist and cervical vertebra maturation methods in determining skeletal maturation.

Authors:  Umut Pamukcu; Nebiha Gozde Ispir; Gulsun Akay; Ozge Karadag Atas; Kahraman Gungor; Meryem Toraman
Journal:  Dentomaxillofac Radiol       Date:  2022-07-05       Impact factor: 3.525

3.  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

4.  Efficacy of the Cervical Vertebral Maturation Method: A Systematic Review.

Authors:  Alessandra Lucchese; Lars Bondemark; Marco Farronato; Gaia Rubini; Enrico Felice Gherlone; Antonino Lo Giudice; Maurizio Manuelli
Journal:  Turk J Orthod       Date:  2022-03

5.  Comparative determination of skeletal maturity by hand-wrist radiograph, cephalometric radiograph and cone beam computed tomography.

Authors:  Alperen Tekın; Kader Cesur Aydın
Journal:  Oral Radiol       Date:  2019-09-03       Impact factor: 1.852

6.  Establishment of an intelligent cervical vertebrae maturity assessment system based on cone beam CT data.

Authors:  Xiaoyan Feng; Shijuan Lu; Yiming Li; Jun Lin
Journal:  Zhejiang Da Xue Xue Bao Yi Xue Ban       Date:  2021-04-25

7.  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

8.  New quantitative classification of the anatomical relationship between impacted third molars and the inferior alveolar nerve.

Authors:  Wei-Quan Wang; Michael Y C Chen; Heng-Li Huang; Lih-Jyh Fuh; Ming-Tzu Tsai; Jui-Ting Hsu
Journal:  BMC Med Imaging       Date:  2015-12-07       Impact factor: 1.930

9.  Spheno-Occipital Synchondrosis Fusion Correlates with Cervical Vertebrae Maturation.

Authors:  María José Fernández-Pérez; José Antonio Alarcón; James A McNamara; Miguel Velasco-Torres; Erika Benavides; Pablo Galindo-Moreno; Andrés Catena
Journal:  PLoS One       Date:  2016-08-11       Impact factor: 3.240

  9 in total

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