Abstract
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.
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This study was supported by FAPESP (São Paulo Research Foundation) grants: 2017/09550-4 and 2019/00495-6.
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The study was approved by the Institutional Review Board of USP, according to protocol number 31575020.8.0000.0075. All the procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2008. Informed consent was obtained from all patients for being included in the study.
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Nussi, A.D., de Castro Lopes, S.L.P., De Rosa, C.S. et al. In vivo study of cone beam computed tomography texture analysis of mandibular condyle and its correlation with gender and age. Oral Radiol 39, 191–197 (2023). https://doi.org/10.1007/s11282-022-00620-3
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DOI: https://doi.org/10.1007/s11282-022-00620-3