Int J Stomatol

Int J Stomatol ›› 2022, Vol. 49 ›› Issue (3): 337-342.doi: 10.7518/gjkq.2022058

• Reviews • Previous Articles     Next Articles

Research progress on cervical vertebra maturation in evaluating bone age of mandible

Li Jingwen(),Zhou Li.()   

  1. State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Dept. of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China
  • Received:2021-09-25 Revised:2022-01-10 Online:2022-05-01 Published:2022-05-09
  • Contact: Li. Zhou E-mail:975150923@qq.com;imzhouli@126.com

RichHTML

204

PDF (PC)

1318

Abstract:

Early functional correction and orthopedic treatment are important means to improve the difference in mandibular development. Therefore, the peak growth period of the mandible by bone age must be evaluated to determine the start time of correction. The cervical vertebra maturation (CVM) method can predict the growth and development period of the mandible based on the regular changes in the shape and size of cervical vertebra at different growth and development stages. The assessment of bone age is convenient and practical. Compared with the wrist bone method, bone age assessment is widely used in clinical practice and does not require patients to receive additional radiation. However, this method is controversial because of its high subjectivity and low repeatability. In response to these problems, a variety of improved methods, including incorporation of objective indicators to describe cervical-spine morphology, improvement of experimental design and data analysis methods, the use of cone-beam computed tomography images to analyze cervical spine morphology, and the use of computer-aided positioning, have been proposed. This article reviews the supporting evidence, related controversies, and improved methods for the clinical application of CVM method.

Key words: cervical vertebrae maturation method, bone age, the peak in mandibular growth

CLC Number: 

  • R 783

TrendMD: 

Fig 1

Schematic representation of the stages of cervical vertebrae"

Fig 2

Measuring points, lines and angle used in the cephalometric analysis"

1 Baccetti T, Franchi L, McNamara JA Jr. The cervical vertebral maturation (CVM) method for the assessment of optimal treatment timing in dentofacial orthopedics[J]. Semin Orthod, 2005, 11(3): 119-129.
2 Lamparski DG. Skeletal age assessment utilizing cervical vertebrae[D]. Pittsburgh: University of Pitts-burgh, 1972.
3 Patcas R, Wiedemeier DB, Markic G, et al. Evidence of secular trend in mandibular pubertal growth[J]. Eur J Orthod, 2017, 39(6): 680-685.
4 Mellion ZJ, Behrents RG, Johnston LE Jr. The pattern of facial skeletal growth and its relationship to various common indexes of maturation[J]. Am J Orthod Dentofacial Orthop, 2013, 143(6): 845-854.
5 Perinetti G, Contardo L, Castaldo A, et al. Diagnostic reliability of the cervical vertebral maturation method and standing height in the identification of the mandibular growth spurt[J]. Angle Orthod, 2016, 86(4): 599-609.
6 Franchi L, Nieri M, McNamara JA Jr, et al. Predicting mandibular growth based on CVM stage and gender and with chronological age as a curvilinear variable[J]. Orthod Craniofac Res, 2021, 24(3): 414-420.
7 Ball G, Woodside D, Tompson B, et al. Relationship between cervical vertebral maturation and mandibular growth[J]. Am J Orthod Dentofacial Orthop, 2011, 139(5): e455-e461.
8 Perinetti G, Braga C, Contardo L, et al. Cervical vertebral maturation: are postpubertal stages attained in all subjects[J]. Am J Orthod Dentofacial Orthop, 2020, 157(3): 305-312.
9 Gray S, Bennani H, Kieser JA, et al. Morphometric analysis of cervical vertebrae in relation to mandibular growth[J]. Am J Orthod Dentofacial Orthop, 2016, 149(1): 92-98.
10 Morris KM, Fields HW Jr, Beck FM, et al. Diagnostic testing of cervical vertebral maturation staging: An independent assessment[J]. Am J Orthod Dentofacial Orthop, 2019, 156(5): 626-632.
11 Engel TP, Renkema AM, Katsaros C, et al. The cervical vertebrae maturation (CVM) method cannot predict craniofacial growth in girls with class Ⅱ malocclusion[J]. Eur J Orthod, 2016, 38(1): 1-7.
12 Sohrabi A, Babay Ahari S, Moslemzadeh H, et al. The reliability of clinical decisions based on the cervical vertebrae maturation staging method[J]. Eur J Orthod, 2016, 38(1): 8-12.
13 Zhao XG, Lin JX, Jiang JH, et al. Validity and reliability of a method for assessment of cervical vertebral maturation[J]. Angle Orthod, 2012, 82(2): 229-234.
14 Chen LL, Xu TM, Jiang JH, et al. Quantitative cervical vertebral maturation assessment in adolescents with normal occlusion: a mixed longitudinal study[J]. Am J Orthod Dentofacial Orthop, 2008, 134(6): 720.e1-720.e7, 720-721.
15 Perinetti G, Bianchet A, Franchi L, et al. Cervical vertebral maturation: an objective and transparent code staging system applied to a 6-year longitudinal investigation[J]. Am J Orthod Dentofacial Orthop, 2017, 151(5): 898-906.
16 Gabriel DB, Southard KA, Qian F, et al. Cervical vertebrae maturation method: poor reproducibility[J]. Am J Orthod Dentofacial Orthop, 2009, 136(4): 478.e1-478.e7, 478-480.
17 Nestman TS, Marshall SD, Qian F, et al. Cervical vertebrae maturation method morphologic criteria: Poor reproducibility[J]. Am J Orthod Dentofacial Orthop, 2011, 140(2): 182-188.
18 Franchi L, Baccetti T, McNamara JA Jr. Mandibular growth as related to cervical vertebral maturation and body height[J]. Am J Orthod Dentofacial Orthop, 2000, 118(3): 335-340.
19 Perinetti G, Primozic J, Sharma B, et al. Cervical vertebral maturation method and mandibular growth peak: a longitudinal study of diagnostic reliability[J]. Eur J Orthod, 2018, 40(6): 666-672.
20 Salazar-Lazo R, Arriola-Guillén LE, Flores-Mir C. Duration of the peak of adolescent growth spurt in class i and ii malocclusion subjects using a cervical vertebrae maturation analysis[J]. Acta Odontol Latinoam, 2014, 27(2): 96-101.
21 Perinetti G, Caprioglio A, Contardo L. Visual assessment of the cervical vertebral maturation stages: a study of diagnostic accuracy and repeatability[J]. Angle Orthod, 2014, 84(6): 951-956.
22 冯筱妍. 基于CBCT数据的自动化颈椎骨龄评估系统的初步探索[D]. 杭州: 浙江大学, 2020: 5.
Feng XY. A preliminary study of automated cervical vertebrae maturity assessment system based on CBCT data[D]. Hangzhou: Zhejiang University, 2020: 5.
23 Beit P, Peltomäki T, Schätzle M, et al. Evaluating the agreement of skeletal age assessment based on hand-wrist and cervical vertebrae radiography[J]. Am J Orthod Dentofacial Orthop, 2013, 144(6): 838-847.
24 Mehta S, Dresner R, Gandhi V, et al. Effect of positional errors on the accuracy of cervical vertebrae maturation assessment using CBCT and lateral cephalograms[J]. J World Fed Orthod, 2020, 9(4): 146-154.
25 Tekın A, Cesur Aydın K. Comparative determination of skeletal maturity by hand-wrist radiograph, cephalometric radiograph and cone beam computed tomography[J]. Oral Radiol, 2020, 36(4): 327-336.
26 Byun BR, Kim YI, Yamaguchi T, et al. Quantitative assessment of cervical vertebral maturation using cone beam computed tomography in Korean girls[J]. Comput Math Methods Med, 2015, 2015: 405912.
27 Chen LL, Lan ZC, Xu XY, et al. Accuracy and repeatability of computer aided cervical vertebra landmarking in cephalogram[J].J Huazhong Univ Sci Tech (Med Sci), 2012, 32(1): 119-123.
28 冯筱妍, 卢诗娟, 李一鸣, 等. 基于锥形线束CT数据的智能颈椎骨龄评估系统的建立[J]. 浙江大学学报(医学版), 2021, 50(2): 187-194.
Feng XY, Lu SJ, Li YM, et al. Establishment of an intelligent cervical vertebrae maturity assessment system based on cone beam CT data[J]. J Zhejiang Univ (Med Sci), 2021, 50(2): 187-194.
29 Noothout JMH, De Vos BD, Wolterink JM, et al. Deep learning-based regression and classification for automatic landmark localization in medical images[J]. IEEE Trans Med Imaging, 2020, 39(12): 4011-4022.
30 Arik SÖ, Ibragimov B, Xing L. Fully automated quantitative cephalometry using convolutional neural networks[J]. J Med Imag, 2017, 4(1): 014501.
31 Dot G, Rafflenbeul F, Arbotto M, et al. Accuracy and reliability of automatic three-dimensional cephalometric landmarking[J]. Int J Oral Maxillofac Surg, 2020, 49(10): 1367-1378.
32 Eckert-Lind C, Busch AS, Petersen JH, et al. Worldwide secular trends in age at pubertal onset assessed by breast development among girls: a systematic review and meta-analysis[J]. JAMA Pediatr, 2020, 174(4): e195881.
33 Brix N, Ernst A, Lauridsen LLB, et al. Timing of puberty in boys and girls: a population-based study[J]. Paediatr Perinat Epidemiol, 2019, 33(1): 70-78.
[1] Xu Shukui,Zhang Shan,Xie Xinyu,Ma Wensheng.. Progress in research into the long-term stability of maxillary protraction therapy in skeletal class Ⅲ malocclusion [J]. Int J Stomatol, 2023, 50(6): 646-652.
[2] Wang Luodan,Fan Hong. Morphological characteristics of sella turcica and its relationship with malocclusion [J]. Int J Stomatol, 2023, 50(6): 653-660.
[3] Sun Xu,Deng Zhennan,Wen Cai,Zhao Ying. Implant surface micromorphological changes after Er: YAG laser irradiation observed under scanning electron microscope [J]. Int J Stomatol, 2023, 50(6): 669-673.
[4] Yang Dongye,Zhu Ping,Wu Shuyi. The influencing factors and clinical significance of tongue position [J]. Int J Stomatol, 2023, 50(6): 723-728.
[5] Liao Honglin,Fang Zhonghan,Zhang Yanyan,Liu Fei,Shen Jiefei.. Diagnosis and treatment of post-traumatic trigeminal neuropathic pain after dental implantation [J]. Int J Stomatol, 2023, 50(6): 729-738.
[6] Chen Runzhi,Zhang Wentao,Chen Feng,Yang Fan. Modification of silk fibroin-based hydrogels and their applications for bone tissue engineering [J]. Int J Stomatol, 2023, 50(6): 739-746.
[7] Liu Yang,Yin Deqiang. Introducing a novel digital articulation workflow with high precision [J]. Int J Stomatol, 2023, 50(5): 499-505.
[8] Liu Panming,Li Zhengze,Li Junhe,Cui Shuxia.. Cone beam computed tomography study of maxillary sinus volume and oropharyngeal airway volume with diffe-rent vertical skeletal faces in adult skeletal Class Ⅱ patients [J]. Int J Stomatol, 2023, 50(5): 528-537.
[9] Gong Jiaming,Zhao Ruimin,Pan Hongwei,Lang Xin,Yu Zhanhai,Li Jianxue. Meta-analysis of dynamic navigation versus static navigation in the accuracy of implant surgery [J]. Int J Stomatol, 2023, 50(5): 538-551.
[10] Huangphattarakul Vicha,Man Yi.. Research progress on mucoperiosteum perforation in maxillary sinus elevation [J]. Int J Stomatol, 2023, 50(5): 552-557.
[11] Wang Renyi,Zhao Chengzhi,Pan Jian.. Research progress on the effects of prophylactic antibiotics on postoperative complications during the perioperative period of tooth extraction [J]. Int J Stomatol, 2023, 50(5): 558-565.
[12] Song Wenpeng,Gong Beiwen,Li Dan,Zeng Jianyu,Qiu Lingling. Research progress on the application of mechanotherapy in orthodontic treatment [J]. Int J Stomatol, 2023, 50(5): 603-612.
[13] Wang Gang,Chen Zhuo.. Reduction of the risk of caries after interproximal enamel reduction [J]. Int J Stomatol, 2023, 50(4): 395-400.
[14] Huang Yihuan,Li Weihang,Ma Dian,Chen Jin,Qian Jie,Li Xudong.. Finite element analysis of IPS e.maxCAD and Lava Ultimate materials with different thickness in occlusal veneer [J]. Int J Stomatol, 2023, 50(4): 423-432.
[15] Wang Xiao-chen,Wang Jian.. Research progress on preparation forms for the margin of monolithic zirconia crowns in posterior teeth [J]. Int J Stomatol, 2023, 50(4): 485-490.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] . [J]. Foreign Med Sci: Stomatol, 1999, 26(06): .
[2] . [J]. Foreign Med Sci: Stomatol, 1999, 26(06): .
[3] . [J]. Foreign Med Sci: Stomatol, 1999, 26(05): .
[4] . [J]. Foreign Med Sci: Stomatol, 1999, 26(05): .
[5] . [J]. Foreign Med Sci: Stomatol, 1999, 26(05): .
[6] . [J]. Foreign Med Sci: Stomatol, 1999, 26(04): .
[7] . [J]. Foreign Med Sci: Stomatol, 1999, 26(04): .
[8] . [J]. Foreign Med Sci: Stomatol, 1999, 26(04): .
[9] . [J]. Foreign Med Sci: Stomatol, 1999, 26(04): .
[10] . [J]. Foreign Med Sci: Stomatol, 1999, 26(04): .