Pós-Graduação
URI Permanente desta comunidadehttps://repositorio.cesupa.br/handle/prefix/4
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Navegando Pós-Graduação por Autor "Aragão, Carmen Dulce Guedes de"
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Item Análise dos padrões faciais em imagem 2D e 3D para fins de diagnóstico e tratamento ortodôntico(Centro Universitário do Estado do Pará, 2021-09-29) Aragão, Carmen Dulce Guedes de; Pinheiro Júnior, Jesus Maués; http://lattes.cnpq.br/0590122765693339; Tuji, Fabrício Mesquita; http://lattes.cnpq.br/8122254353290848; Carneiro, Marcelo Newton; http://lattes.cnpq.br/7057645859780221Knowing the importance of the face in orthodontic treatment, this study proposed to 2 dentists with more than 5 years of specialization, in two different periods, to perform 2D and 3D photographic facial analysis in 50 patients, to determine and classify them according to their facial pattern. Compare 2D and 3D facial analysis in determining the facial pattern. With 50 adult individuals, minimum age of 18 years, female and male, presence of the 5 Facial Patterns. Patients periodontal disease, individuals treate dorthontically and surgically and the presence of were excluded. Kappa coefficient was used for intra-examiner and inter-examiner agreement. For the analysis of the error, the Kappa coefficient was used. The result of intra-examiner agreement between the first and second 2D assessments was 82% Kappa 0,69. For 3D it was 90% with a Kappa 0,89. The agreement between the evaluators with the gold standard for the total sample was 63,8% and Kappa 0,46 for 2D. For 3D, the total value was 67,9% and Kappa 0,61. For inter-examiner agreement in 2D in total it was 67,53% and Kappa 0,59. For 3D, the total agreement was 69,46% and Kappa 0,65. We concluded that the intra-examiner agreement between the first and second assessment was substantial in 2D and almost perfect in 3D. In the intra-examiner assessment, the agreement was moderate in total in 2D and substantial in 3D. Inter-examiner agreement was moderate in relation to 2D and substantial in 3D images. In other words, the 3D images provided greater accuracy when it comes to the analysis of the Facial Pattern.