Cephalometric variables as predictors of Class II treatment outcome.
Cephalometric analysis of skeletodental features is accepted as an integral part of orthodontic diagnosis and treatment planning. This assumes that diagnostic cephalometric variables affect prognosis and thus help reduce malocclusion severity, which is the aim of orthodontic treatment. The aim of this study was to assess the predictive value of 41 commonly used cephalometric parameters with regard to pretreatment severity and treatment outcomes. Pretreatment severity was assessed by using the Peer Assessment Rating (PAR) occlusal index, an instrument that has been shown to be valid and reliable. Treatment outcomes consisted of (1) posttreatment malocclusion severity (post-PAR), (2) relative improvement (percent PAR reduction), and (3) treatment duration. Complete records, including cephalograms, of 223 treated Class II cases were analyzed by means of separate multiple linear regression models. Each of the outcome variables and the pretreatment severity served as the respective dependent variables, and the cephalometric parameters served as the independent or predictor variables. The cephalometric parameters explained 39.2% of the pretreatment severity variance, 17. 9% of posttreatment severity variance, 15.7% of relative treatment improvement variance, and 20.0% of treatment duration variance.
Kim
J C
JC
Department of Orthodontics, The Ohio State University College of Dentistry, USA.
Mascarenhas
A K
AK
Joo
B H
BH
Vig
K W
KW
Beck
F M
FM
Vig
P S
PS
D000704:Analysis of Variance; D002508:Cephalometry; D006801:Humans; D016014:Linear Models; D008312:Malocclusion, Angle Class II / Q000628:therapy*; D015588:Observer Variation; D017063:Outcome Assessment, Health Care / Q000379:methods; D018024:Peer Review, Health Care; D011237:Predictive Value of Tests; D011379:Prognosis; D012189:Retrospective Studies