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Cephalometric and occlusal changes of Class III malocclusion patients treated with or without extractions

Grant number: 15/16897-5
Support Opportunities:Scholarships abroad - Research Internship - Post-doctor
Effective date (Start): December 16, 2015
Effective date (End): March 15, 2016
Field of knowledge:Health Sciences - Dentistry - Orthodontics
Principal Investigator:Guilherme dos Reis Pereira Janson
Grantee:Roberto Bombonatti
Supervisor: Bryan D. Tompson
Host Institution: Faculdade de Odontologia de Bauru (FOB). Universidade de São Paulo (USP). Bauru , SP, Brazil
Research place: University of Toronto (U of T), Canada  
Associated to the scholarship:15/06177-5 - Cephalometric and occlusal changes of class III malocclusion patients treated with or without extractions, BP.PD

Abstract

The aim of this retrospective study is to evaluate the cephalometric and occlusal changes of orthodontically treated Class III malocclusion patients. The sample will consist of three groups: two experimental and one control group. The experimental groups will comprise patients treated at Bauru Dental School, University of São Paulo, Brazil, without (G1) or with extractions (G2). The control group (G3), matched by age and sex with the experimental groups, will consist of subjects with untreated Class III malocclusion from the Burlington Growth Centre, located at the Faculty of Dentistry, University of Toronto, Canada. All patients shall initially present with a Class III malocclusion with an overjet smaller than 0mm. Cephalometric variable changes will be assessed on lateral cephalometric radiographs at the beginning (T1) and at the end (T2) of observation period. Concurrently, occlusal changes will be measured on dental study models at the beginning (M1) and at the end (M2) of observation period. The occlusal changes will be evaluated by the peer assessment rating (PAR) index. If the variables display normal distribution, intragroup comparisons will be performed with paired t tests and intergroup comparisons with one-way ANOVA. If the data are not normally distributed, Wilcoxon and Kruskal-Wallis tests will be used, respectively.

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