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

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...

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Publicado en:Oral Radiology Vol. 39; no. 1; pp. 191 - 198
Autores principales: Nussi, Amanda Drumstas, de Castro Lopes, Sérgio Lucio Pereira, De Rosa, Catharina Simioni, Gomes, João Pedro Perez, Ogawa, Celso Massahiro, Braz-Silva, Paulo Henrique, Costa, Andre Luiz Ferreira
Formato: diagnostic images research tables/charts Journal Article
Publicado: Springer Nature Jan2023
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jan2023
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s11282-022-00620-3
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        atl: In vivo study of cone beam computed tomography texture analysis of mandibular condyle and its correlation with gender and age.
      aug:
        au:
          Nussi, Amanda Drumstas
          de Castro Lopes, Sérgio Lucio Pereira
          De Rosa, Catharina Simioni
          Gomes, João Pedro Perez
          Ogawa, Celso Massahiro
          Braz-Silva, Paulo Henrique
          Costa, Andre Luiz Ferreira
        affil: Postgraduate Program in Dentistry, Cruzeiro do Sul University (UNICSUL), Rua Galvão Bueno, 868, Liberdade, 01506-000, São Paulo, SP, Brazil
      sug:
        subj:
          Mandibular Condyle Radiography
          Image Processing, Computer Assisted Methods
          Tomography, X-Ray Computed Methods
          Image Interpretation, Computer Assisted
          Human
          Male
          Female
          Child, Preschool
          Child
          Adolescence
          Adult
          Mann-Whitney U Test
          Kruskal-Wallis Test
          Temporomandibular Joint
          Funding Source
          Child, Preschool: 2-5 years
          Child: 6-12 years
          Adolescent: 13-18 years
          Adult: 19-44 years
          Male
          Female
      ab: 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® 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.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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