下颌髁突锥形束计算机断层扫描纹理分析的体内研究及其与性别和年龄的相关性。

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

作者信息

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

机构信息

Postgraduate Program in Dentistry, Cruzeiro do Sul University (UNICSUL), Rua Galvão Bueno, 868, Liberdade, São Paulo, SP, 01506-000, Brazil.

Department of Diagnosis and Surgery, Science and Technology Institute, São Paulo State University (UNESP), São José dos Campos, São Paulo, Brazil.

出版信息

Oral Radiol. 2023 Jan;39(1):191-197. doi: 10.1007/s11282-022-00620-3. Epub 2022 May 18.

DOI:10.1007/s11282-022-00620-3

PMID:35585223

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.

摘要

目的

纹理分析是一种图像处理方法，旨在评估图像中灰度强度的分布和像素的空间组织。本研究的目的是调查应用于锥形束计算机断层扫描（CBCT）图像的纹理分析是否能够检测不同年龄组和性别的个体髁突小梁骨的变化。

方法

样本包括63名个体的影像学检查，根据年龄分为03 - 13岁、14 - 24岁和25 - 34岁三组。对于纹理分析，使用MaZda软件提取以下参数：二阶角矩、对比度、相关性、平方和、逆差矩、和熵与熵。使用曼 - 惠特尼检验进行性别统计分析，使用克鲁斯卡尔 - 沃利斯检验进行年龄统计分析（P = 5%）。