@entity8495 is a traumatic event related to many factors, including dentofacial morphology. In a previous study in which we used a logistic regression model, 5 cephalometric variables were defined as being the best predictors of @entity130 . The purposes of this study were to test the predictive value of the logistic regression analysis results for the occurrence of @entity8495 in a new @entity1 sample and to compare these results with the outcome based on a visual evaluation of cephalograms. The study population consisted of 2 groups of orthodontic @entity1 : @entity1 with injured incisors (n = 64) and @entity1 with non-injured incisors (n = 90). Cephalometric skeletal, dental, and soft tissue measurements were made. In addition, 6 professional judges visually evaluated all cephalograms. Classification tables were constructed for the results of the logistic regression model and for the assignment of @entity1 according to the visual evaluation of the cephalograms. The percentage of correctly classified @entity1 at the.7 probability level was 62%. Surprisingly, the professional panel rendered an equal predictive value. The relatively inferior performance of both the mathematical model and the "eyeballing" may demonstrate that dentofacial morphology is only partially responsible for susceptibility to @entity130 .

Can maxillary incisor XXXX be predicted from cephalometric measurements?

@entity1 :: ('9606', 'Species') :: ['patients', 'patient'] @entity8495 :: ('MESH:D018677', 'Disease') :: ['Dental injury', 'dental injury'] @entity130 :: ('MESH:D014947', 'Disease') :: ['traumatic injury', 'trauma']
@entity130 :: (MESH:D014947,Disease) :: ['trauma']
