Cross gender-age trabecular texture analysis in cone beam computed tomography

Cross gender-age trabecular texture analysis in cone beam computed tomography Purposes: To investigate whether multiple texture features in different regions-of-interest (ROIs) on cone beam computed tomography (CBCT) are correlated with gender-age variation of trabecular patterns. Methods: CBCT volumes from 96 subjects were used. The data set was divided into four gender-age subgroups including male younger (MY) than 40 years, male older (MO) than 40 years, female younger (FY) than 40 years, and female older (FO) than 40 years. For each volume, cubes containing trabecular patterns at four ROIs in the jaws were manually cropped. Eighteen distinct texture features were calculated and their correlation with gender-age variations at different ROIs was studied through t-test statistical analysis. Results: For the 432 test pairs with different gender-age groups at different ROIs and texture features tested, 149 of them were shown to be statistically different at the 0.05 level and 60 at the 0.001 level. These features can therefore capture changes in trabecular patterns and have the potential to be used for trabecular analysis. Furthermore, fractal features were found to be better than intensity features in separating different gender-age groups. Trabecular patterns in the body of the mandible were more correlated with gender-age changes than other ROIs. Conclusions: Multiple texture features on CBCT were found to be correlated with the cross gender-age variation of trabecular patterns. The results support the use of CBCT for advanced trabecular analysis, including osteoporosis screening tools in the jaws.