In vivo study of cone beam computed tomography texture analysis of mandibular condyle and its correlation with gender and age

Autor(es)

Nussi, Amanda Drumstas ; de Castro Lopes, Sergio Lucio Pereira ; De Rosa, Catharina Simioni ; Gomes, Joao Pedro Perez ; Ogawa, Celso Massahiro ; Braz-Silva, Paulo Henrique ; Costa, Andre Luiz Ferreira

• Tipo de documento: Artigo Científico
• Fonte: Oral Radiology; v. 39, n. 1, p. 7-pg., 2022-05-18.

Resumo

Objective Texture analysis is an image processing method that aims to assess the distribution of gray-level intensity and spatial organization of the pixels in the image. The purpose of this study was to investigate whether the texture analysis applied to cone beam computed tomography (CBCT) images could detect variation in the condyle trabecular bone of individuals from different age groups and genders. Methods The sample consisted of imaging exams from 63 individuals divided into three groups according to age groups of 03-13, 14-24 and 25-34. For texture analysis, the MaZda (R) software was used to extract the following parameters: second angular momentum, contrast, correlation, sum of squares, inverse difference moment, sum entropy and entropy. Statistical analysis was performed using Mann-Whitney test for gender and Kruskal-Wallis test for age (P = 5%). Results No statistically significant differences were found between age groups for any of the parameters. Males had lower values for the parameter correlation than those of females (P < 0.05). Conclusion Texture analysis proved to be useful to discriminate mandibular condyle trabecular bone between genders. (AU)

• Processo FAPESP: 17/09550-4 - Análise de textura em imagens de ressonância magnética como ferramenta de auxílio na caracterização e classificação de ameloblastomas e queratocistos
• Beneficiário: André Luiz Ferreira Costa
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 19/00495-6 - Análise da comparativa da influência de filtros de pós-processamento e da variação dos parâmetros de aquisição na quantificação de artefatos metálicos em imagens de tomografia computadorizada de feixe cônico
• Beneficiário: Sérgio Lúcio Pereira de Castro Lopes
• Modalidade de apoio: Auxílio à Pesquisa - Regular