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Determinants of maxillary canine impaction: Retrospective clinical and radiographic study

BACKGROUND: The aim of this study is to evaluate determinants of maxillary canine impaction taking into account both canine position related variables and the pattern of facial growth. MATERIAL AND METHODS: A retrospective clinical and radiographic analysis was carried out on 109 patients aged betwe...

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Detalles Bibliográficos
Autores principales: Laurenziello, Michele, Montaruli, Graziano, Gallo, Crescenzio, Tepedino, Michele, Guida, Laura, Perillo, Letizia, Troiano, Giuseppe, Lo Muzio, Lorenzo, Ciavarella, Domenico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medicina Oral S.L. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5741843/
https://www.ncbi.nlm.nih.gov/pubmed/29302282
http://dx.doi.org/10.4317/jced.54095
Descripción
Sumario:BACKGROUND: The aim of this study is to evaluate determinants of maxillary canine impaction taking into account both canine position related variables and the pattern of facial growth. MATERIAL AND METHODS: A retrospective clinical and radiographic analysis was carried out on 109 patients aged between 9 and 10 years at the time of first evaluation. At baseline, SN-GoMe angle, the interincisal angle, the canine angle α and the canine distance d were used to characterize canine location and vertical facial growth. At the end of a two years follow up period the eruption state of each canine of each patient was recorded and accordingly classified as erupted or impacted on a clinical and radiographic basis. Univariate and multivariate statistical analyses were performed, including correlation among the studied variables and principal components analysis; several machine learning methods were also used in order to built a predictive model. RESULTS: At the end of the two years follow up period after the first examination, 54 (24.77%) canines were classified as impacted. Except for Angle α values, there were no statistically significant differences between impacted and erupted canines. The studied variables were not significantly correlated, except for the SN-GoMe Angle and the distance d in the impacted canine group and the angle α and the distance d in erupted canines group. All variables, except for SN-GoMe Angle in erupted canines, have a partial communality with the first two principal components greater than 50%. Among the learning machine methods tested to classify data, the best performance was obtained by the random forest method, with an overall accuracy in predicting canine eruption of 88.3%. CONCLUSIONS: The studied determinants are easy to perform measurements on 2D routinely executed radiographic images; they seems independently related to canine impaction and have reliable accuracy in predicting maxillary canine eruption. Key words:Canine impaction, Determinants, Facial growth.