Renderização tridimensional do osso esfenoide de adolescentes usando o Sistema Interativo de Controle de Imagens Médicas

Autores

DOI:

https://doi.org/10.33448/rsd-v11i9.31874

Palavras-chave:

Pontos de referência anatômicos; Osso esfenóide; Software.

Resumo

O objetivo principal deste estudo foi reconstruir tridimensionalmente (3D) o osso esfenoide de adolescentes com o software Materialise Mimics para testar a precisão e confiabilidade das medidas craniométricas feitas com o software. O estudo foi conduzido de acordo com as diretrizes do Strengthening the Reporting of Observational studies in Epidemiology (STROBE). A tomografia computadorizada de feixe cônico (CBCT) foi realizada em adolescentes antes do tratamento ortodôntico como parte dos registros ortodônticos. As imagens CBCT foram exportadas como arquivos DICOM (Digital Imaging and Communication in Medicine), em formato universal, com um tamanho de voxel de 0,3 mm e o osso esfenoide foi renderizado tridimensionalmente com o software Materialise Mimics. Dez medições do esfenoide foram realizadas em triplicata por dois examinadores treinados. A população do estudo consistia em 26 adolescentes, 16 mulheres (61,5%) e 10 homens (38,5%) com idade média de 12,5 anos (SD= 1,7). 60 medições foram realizadas e a precisão intra e interexaminadores revelou um alto grau de reprodutibilidade dos dados (teste Kappa superior a 0,90). A reconstrução e representação das imagens obtidas pelo CBTC permitiram que os detalhes anatômicos do osso esfenoidal fossem medidos com alta reprodutibilidade. O Software Materialise Mimics permitiu analisar os detalhes das estruturas e analisar as ferramentas úteis para otimizar as análises craniométricas.

Biografia do Autor

Nathaly Dias Morais, Positivo University

 

 

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Publicado

10/07/2022

Como Citar

LISBOA, L. E. de O.; CARELLI, J.; MORAIS, N. D. .; MORO, A.; KÜCHLER, E. C.; BRANCHER, J. A.; FOGGIATTO, J. A.; TORRES, M. F. P. Renderização tridimensional do osso esfenoide de adolescentes usando o Sistema Interativo de Controle de Imagens Médicas. Research, Society and Development, [S. l.], v. 11, n. 9, p. e29311931874, 2022. DOI: 10.33448/rsd-v11i9.31874. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/31874. Acesso em: 26 nov. 2024.

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Ciências da Saúde