A semi-automated method for bone age assessment using cervical vertebral maturation

A semi-automated method for bone age assessment using cervical vertebral maturation

Author Baptista, Roberto Silva Autor UNIFESP Google Scholar
Quaglio, Camila L. Autor UNIFESP Google Scholar
Mourad, Leila M. E. H. Autor UNIFESP Google Scholar
Hummel, Anderson Diniz Autor UNIFESP Google Scholar
Caetano, Cesar Augusto C. Google Scholar
Ortolani, Cristina Lúcia Feijó Google Scholar
Pisa, Ivan Torres Autor UNIFESP Google Scholar
Institution Universidade Federal de São Paulo (UNIFESP)
Fac Informat & Adm Paulista FIAP
Univ Paulista UNIP
Abstract Objective: To propose a semi-automated method for pattern classification to predict individuals' stage of growth based on morphologic characteristics that are described in the modified cervical vertebral maturation (CVM) method of Baccetti et al.Materials and Methods: A total of 188 lateral cephalograms were collected, digitized, evaluated manually, and grouped into cervical stages by two expert examiners. Landmarks were located on each image and measured. Three pattern classifiers based on the Naive Bayes algorithm were built and assessed using a software program. the classifier with the greatest accuracy according to the weighted kappa test was considered best.Results: the classifier showed a weighted kappa coefficient of 0.861 +/- 0.020. If an adjacent estimated pre-stage or poststage value was taken to be acceptable, the classifier would show a weighted kappa coefficient of 0.992 +/- 0.019.Conclusion: Results from this study show that the proposed semi-automated pattern classification method can help orthodontists identify the stage of CVM. However, additional studies are needed before this semi-automated classification method for CVM assessment can be implemented in clinical practice. (Angle Orthod. 2012;82:658-662.)
Keywords Decision support systems
Age determination by skeleton
Cervical vertebrae
Language English
Date 2012-07-01
Published in Angle Orthodontist. Newton N: E H Angle Education Research Foundation, Inc, v. 82, n. 4, p. 658-662, 2012.
ISSN 0003-3219 (Sherpa/Romeo, impact factor)
Publisher E H Angle Education Research Foundation, Inc
Extent 658-662
Origin http://dx.doi.org/10.2319/070111-425.1
Access rights Open access Open Access
Type Article
Web of Science ID WOS:000306380300013
URI http://repositorio.unifesp.br/handle/11600/35032

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