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2022, Vol. 26 ›› Issue (6): 954-958Establishment of cervical bone age equation for male adolescents aged 8-16 years old in Hohhot based on thin-slice CTYi Xinrong1, Jia Fuquan1, He Xin2, Zhang Shaojie1, Ren Xiaoyan3, Li Zhijun1
Abstract: BACKGROUND: At present, the most classic domestic bone age assessment method is the wrist bone, but this method has disadvantages such as poor reproducibility and susceptibility to the level of the assessor, so it is difficult to carry out in most areas. Through the establishment of the cervical vertebra bone age equation, it provides a reference for the development of bone age identification in this area. OBJECTIVE: To explore the application of quantitative indicators to establish the cervical vertebra bone age equation for adolescent male in Hohhot and to provide references for skeletal age identification. METHODS: The thin-slice CT data of 151 normal male adolescents aged 8-16 years with cervical spine were selected and randomly divided into two groups. 111 cases in the first group were used as the data of the bone age prediction equation; 40 cases in the second group were used as the test data of the equation. The two-dimensional and three-dimensional parameters of the cervical spine were measured and analyzed. Multiple linear regression was used to make the bone age equation based on two-dimensional morphological parameters or two-dimensional and three-dimensional morphological parameters. Pearson correlation analysis was used to test the correlation between the bone age and the age of life calculated by the regression equation to compare the accuracy of the prediction before and after the introduction of three-dimensional parameters. The protocols were in accordance with the Declaration of Helsinki and the relevant ethical requirements of the Inner Mongolia Medical University. The subjects and guardians had fully informed consent to the testing and data collection. RESULTS AND CONCLUSION: (1) The cervical spine age equations based on two-dimensional parameters and two-dimensional and three-dimensional joints were Y=4.454+1.443×D3+0.544×PH4 (D3 is the height of the depression of the lower edge of the C3 vertebral body; PH4 is the height of the posterior edge of the C4 vertebral body); Y=5.422+1.393×D3+0.413×AH3 (AH3 is the height of the anterior edge of the C3 vertebral body). After correlation analysis, the bone age calculated by the two equations was highly correlated with the age of life, and the r values were 0.905 and 0.833, respectively (all P < 0.01). (2) The goodness of fit and prediction accuracy of the bone age equation based on two-dimensional parameters were higher than the bone age equation based on two-dimensional and three-dimensional joint parameters. (3) Results confirmed that through the quantitative index of slice CT, it was found that the height of the lower edge of C3 vertebra and the height of the posterior edge of C4 vertebra were closely related to the bone age of male adolescents in Hohhot area. Key words:bone age, living age, cervical spine, multiple regression equation, three-dimensional reconstruction, Hohhot |