2015-02-132009-01-16ARRUDA, Karine Evangelista Martins. Avaliação de deiscência e fenestração por meio de tomografia computadorizada volumétrica em pacientes com maloclusão de Classe I e classe II Divisão 1. 2009. 64 f. Dissertação (Mestrado em Odontologia) - Universidade Federal de Goiás, Goiânia, 2009.http://repositorio.bc.ufg.br/tede/handle/tede/4149The effects of orthodontic treatment on periodontal structures have been studied in literature, especially regarding the integrity of alveolar bone and gingival health of the teeth to be displaced. The aim of this study was to evaluate the presence of alveolar defects (dehiscence and fenestrations) in patients with Class I and Class II division 1 malocclusions and in different facial types using cone beam computed tomography (CBCT). The sample comprised 159 tomography exams of patients with no previous orthodontic treatment, giving a total of 4319 teeth. The presence or absence of dehiscence and fenestration in the buccal and lingual surfaces was checked in axial and crosssectional views. The results showed that 155 patients (96.9%) presented some type of alveolar defect. The Class I malocclusion patients presented higher prevalence of dehiscences (35%) than those with Class II division 1 malocclusion. There was no statistically significant difference between the facial types. Lower incisors, lower canines and lower first premolars were respectively the teeth with more occurrences of alveolar defects. This study concluded that CBCT is indicated for patients who need extensive tooth movement and have unfavorable gingival biotype.application/pdfAcesso AbertoClasse IClasse II divisão 1DeiscênciaFenestraçãoTomografiaClass IClass II division 1DehiscenceFenestrationTomographyCIENCIAS DA SAUDE::ODONTOLOGIAAvaliação de deiscência e fenestração por meio de tomografia computadorizada volumétrica em pacientes com maloclusão de Classe I e Classe II Divisão 1Assessment of dehistence and fenestration in patients with Class I and Class II Division 1 malocclusion using cowe beam computed tomographyDissertação