Skip to main content
Log in

Accuracy and repeatability of computer aided cervical vertebra landmarking in cephalogram

  • Published:
Journal of Huazhong University of Science and Technology [Medical Sciences] Aims and scope Submit manuscript

Summary

The accuracy and repeatability of computer aided cervical vertebra landmarking (CACVL) were investigated in cephalogram. 120 adolescents (60 boys, 60 girls) aged from 9.1 to 17.2 years old were randomly selected. Twenty-seven landmarks from the second to fifth cervical vertebrae on the lateral cephalogram were identified. In this study, the system of CACVL was developed and used to identify and calculate the landmarks by fast marching method and parabolic curve fitting. The accuracy and repeatability in CACVL group were compared with those in two manual landmarking groups [orthodontic experts (OE) group and orthodontic novices (ON) group]. The results showed that, as for the accuracy, there was no significant difference between CACVL group and OE group no matter in x-axis or y-axis (P>0.05), but there was significant difference between CACVL group and ON group, as well as OE group and ON group in both axes (P<0.05). As for the repeatability, CACVL group was more reliable than OE group and ON group in both axes. It is concluded that CACVL has the same or higher accuracy, better repeatability and less workload than manual landmarking methods. It’s reliable for cervical parameters identification on the lateral cephalogram and cervical vertebral maturation prediction in orthodontic practice and research.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Flores-Mir C, Burgess CA, Champney M. Correlation of skeletal maturation stages determined by cervical vertebrae and hand-wrist evaluations. Angle Orthod, 2006,76(1):1–5

    PubMed  Google Scholar 

  2. Wong RW, Alkhal HA, Rabie AB. Use of cervical vertebral maturation to determine skeletal age. Am J Orthod Dentofacial Orthop, 2009,136(4):484.e1–6

    Article  Google Scholar 

  3. Fudalei P, Bollen AM. Effectiveness of the cervical vertebral maturation method to predict postpeak circumpubertal growth of craniofacial structures. Am J Orthod Dentofacial Orthop, 2010,137(1):59–65

    Article  Google Scholar 

  4. Gandinia P, Mancini M, Andreani F. A comparison of hand-wrist bone and cervical vertebral analyses in measuring skeletal maturation. Angle Orthod, 2006, 76(6): 984–989

    Article  Google Scholar 

  5. Baccetti T, Franchi L, McNamara JA Jr. An improved version of the cervical vertebral maturation (CVM) method for the assessment of mandibular growth. Angle Orthod, 2002,72(4):316–323

    PubMed  Google Scholar 

  6. Lamparski DG. Master of Science Thesis [M]. University of Pittsburgh, 1972

  7. Baccetti T, Franchi L, McNamara JA Jr. The cervical vertebral maturation method: some need for clarification. Am J Orthod Dentofacial Orthop, 2003,123(1):19A–20A

    PubMed  Google Scholar 

  8. Chen L, Lin JX, Xu TM. Quantitative skeletal evaluation based on cervical vertebral maturation: a longitudinal study of adolescents with normal occlusion. Int J Oral Maxillofac Surg, 2010,39(7):653–659

    Article  PubMed  CAS  Google Scholar 

  9. Chen LL, Xu TM, Lin JX. Quantitative cervical vertebral maturation assessment in adolescents with normal occlusion: a mixed longitudinal study. Am J Orthod Dentofacial Orthop, 2008,134(6):720.e1–720.e7

    Article  Google Scholar 

  10. Chen L, Liu J, Xu T, et al. Longitudinal study of relative growth rates of the maxilla and the mandible according to quantitative cervical vertebral maturation. Am J Orthod Dentofacial Orthop, 2010,137(6):736. e1–8

    Article  PubMed  Google Scholar 

  11. Ludlow JB, Gubler M, Cevidanes L. Precision of cephalometric landmark identification: Cone-beam computed tomography vs conventional cephalometric views. Am J Orthod Dentofacial Orthop, 2009,136(3): 312.e1–10

    Article  PubMed  Google Scholar 

  12. Santoro M, Jarjoura K, Cangialosi TJ. Accuracy of digital and analogue cephalometric measurements assessed with the sandwich technique. Am J Orthod Dentofacial Orthop, 2006,129(3):345–351

    Article  PubMed  Google Scholar 

  13. Li H, Xue Z, Guo L, et al. Simultaneous consideration of spatial deformation and tensor orientation in diffusion tensor image registration using local fast marching patterns. Inf Process Med Imaging, 2009,21:63–75

    Article  PubMed  Google Scholar 

  14. Xu SG, Zhang YX, Yong JH. A fast sweeping method for computing geodesics on triangular manifolds. IEEE Trans Pattern Anal Mach Intell, 2010,32(2):231–241

    Article  PubMed  Google Scholar 

  15. Papadopoulos A, Fotiadis DI, Costaridou L. Improvement of microcallcification cluster detection in mammography utilizing image enhancement techniques. Comput Biol Med, 2008,38(10):1045–1055

    Article  PubMed  CAS  Google Scholar 

  16. Liu JK, Chen YT, Cheng KS. Accuracy of computerized automatic identification of cephalometric landmarks. Am J Orthod Dentofacial Orthop, 2000,118(5):535–540

    Article  PubMed  CAS  Google Scholar 

  17. Yue W, Yin D, Li C. Automated 2-D cephalometric analysis on X-ray images by a model-based approach. IEEE Trans Biomed Eng, 2006,53(8):1615–1623

    Article  PubMed  Google Scholar 

  18. Trpkova B, Major P, Prasad N, et al. Cephalometric landmark identification and reproducibility: a meta analysis. Am J Orthod Dentofacial Orthop, 1997, 112(2):165–170

    Article  PubMed  CAS  Google Scholar 

  19. Broch J, Slagsvold O, Rosler M. Error in landmark identification in lateral radiographic headplates. Eur J Orthod, 1981,3(1):9–13

    PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lili Chen  (陈莉莉).

Additional information

This project was supported by grants from National Natural Sciences Foundation of China (No. 30801314), and China Hubei Provincial Science and Technology Department (No. 2008CBD088).

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chen, L., Lan, Z., Xu, X. et al. Accuracy and repeatability of computer aided cervical vertebra landmarking in cephalogram. J. Huazhong Univ. Sci. Technol. [Med. Sci.] 32, 119–123 (2012). https://doi.org/10.1007/s11596-012-0021-y

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11596-012-0021-y

Key words

Navigation