title: Assessment of a method for the prediction of mandibular rotation.
abstract: A new method to predict mandibular rotation developed by Skieller and co-workers on a sample of 21 implant subjects with extreme growth patterns has been tested against an alternative sample of 25 implant patients with generally similar mean values, but with less extreme facial patterns. The method, which had been highly successful in retrospectively predicting changes in the sample of extreme subjects, was much less successful in predicting individual patterns of mandibular rotation in the new, less extreme sample. The observation of a large difference in the strength of the predictions for these two samples, even though their mean values were quite similar, should serve to increase our awareness of the complexity of the problem of predicting growth patterns in individual cases.
authors.forename: R S
authors.initials: RS
authors.lastname: Lee
authors.forename: F J
authors.initials: FJ
authors.lastname: Daniel
authors.forename: M
authors.initials: M
authors.lastname: Swartz
authors.forename: S
authors.initials: S
authors.lastname: Baumrind
authors.forename: E L
authors.initials: EL
authors.lastname: Korn
mesh_terms: D002508:Cephalometry; D002648:Child; D005260:Female; D005544:Forecasting; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D008310:Malocclusion / Q000628:therapy*; D008312:Malocclusion, Angle Class II / Q000473:pathology / Q000628:therapy*; D008334:Mandible / Q000033:anatomy & histology / Q000254:growth & development*; D010347:Patient Care Planning; D019736:Prostheses and Implants; D012189:Retrospective Studies; D012399:Rotation