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.
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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
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
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
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
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
Lamparski DG. Master of Science Thesis [M]. University of Pittsburgh, 1972
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
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
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
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
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
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
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
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
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
Liu JK, Chen YT, Cheng KS. Accuracy of computerized automatic identification of cephalometric landmarks. Am J Orthod Dentofacial Orthop, 2000,118(5):535–540
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
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
Broch J, Slagsvold O, Rosler M. Error in landmark identification in lateral radiographic headplates. Eur J Orthod, 1981,3(1):9–13
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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).
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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
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DOI: https://doi.org/10.1007/s11596-012-0021-y