title: Prediction of the mesiodistal widths of maxillary permanent canines and premolars.
abstract: Multiple regression equations for prediction of the mesiodistal widths of the maxillary canines and premolars were developed for the right and left sides of the arches of males and females. The equations were developed from longitudinal data taken from ninety-two Caucasian children (forty-six boys and forty-six girls) who participated in the Iowa Growth Study. The multiple regression equations, when compared with three currently used methods of prediction, were the best predictors. The newly developed equations and other prediction methods currently in use were tested on longitudinal data taken from a sample of forty-three Caucasian orthodontic patients (sixteen males and twenty-seven females). Again, the multiple regression equations had the best performance.
mesh_terms: D000293:Adolescent; D001641:Bicuspid / Q000033:anatomy & histology* / Q000000981:diagnostic imaging; D002648:Child; D003481:Cuspid / Q000033:anatomy & histology* / Q000000981:diagnostic imaging; D005260:Female; D006801:Humans; D008297:Male; D008437:Maxilla; D003765:Models, Dental; D009811:Odontometry; D011859:Radiography; D012737:Sex Factors; D014097:Tooth, Unerupted / Q000033:anatomy & histology / Q000000981:diagnostic imaging