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Detection Of Wrist Bone Age Of Adolescents And Children In Hohhot Area And The Explorati On Of The Establishment Of The Cervical Vertebra Bone Age Equation Based On CT

Posted on:2022-10-08Degree:MasterType:Thesis
Country:ChinaCandidate:X R YiFull Text:PDF
GTID:2504306545970829Subject:Radiation Medicine
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Objective 1,we measured the bone age of wrist X-ray film of adolescents in Hohhot area,evaluated the bone development status and trend,and provided theoretical basis for the establishment of bone age standard in this area.2,the quantitative index of cervical vertebra was used to establish the cervical vertebra bone age equation suitable for adolescents aged 8 to 16 years in this area,which could provide reference for bone age identification.Methods 1,a total of 1116 cases(584 males and 532females)of Han nationality were collected.Bone age was measured according to the CHN method for the development of carpal bone in Chinese hands,and the preferred grade was selected according to the morphology of bone development and changes of epiphyseal line.The correlation between bone age and life age was analyzed.2,205 cases of cervical vertebra(101 males and 104 females)of normal adolescents aged 8to 16 years were selected.The original data of cervical bone tomography images were imported into Mimics21.0 3D reconstruction and 21 2D parameters were measured.The 3D attributes software was used to calculate the 3D parameters of volume and surface area.Using the standardized value of C2-4 morphological parameters as the independent variable and the individual living age as the dependent variable,multiple linear regression was applied to test the effects of each parameter on bone age,and the regression models of bone age of different genders before and after the introduction of three-dimensional morphological parameters were established.Pearson correlation analysis was used to test the correlation between bone age calculated by the regression model and life age,and the prediction accuracy of the same gender was compared before and after the introduction of three-dimensional parameters.Results 1:This study shows that it is feasible to use adolescents and children who visit hospitals as a supplementary source to establish a bone age database,and this method meets the humanistic and ethical requirements,as long as the images that do not meet the standards are excluded in sample selection.Bone age was highly positively correlated with life age,and the R value of male and female groups was 0.943 and 0.939(P <0.01),respectively,and the total R value was 0.944(P < 0.01).Compared with the same sex and different age groups,the bone age in the male group was greater than the living age,except for the age groups of 1.0 ~ 3.9 years and 16.0 ~ 17.9 years,the difference was significant(P < 0.05).The bone age in female group was 1.0 ~ 9.9years older than living age,and the difference was significant except 1.0 ~ 3.9 years(P < 0.05).The bone age of the 10.0-17.9 years old group was lower than the living age,and the difference of the 16.0-17.9 years old group was significant(P < 0.05).Comparison among the same age groups among different genders: except the10.0-11.9 group,the difference of bone age and living age in males was greater than that in females,and there were significant differences in 12.0-13.9,14.0-15.9 and16.0-17.9 age groups(P < 0.05).In 10.0 ~ 11.9 years group,the difference between bone age and life age in males was smaller than that in females,and the difference was significant(P < 0.05).2.the related indexes of cervical spine bone age were measured,and multivariate analysis was carried out to establish the multiple regression equation of cervical spine bone age between 8 and 16 years old in this area.The cervical spine bone age established based on two-dimensional parameters was correlated with the depth of the third cervical spine sag and the height of the fourth cervical posterior edge.After the introduction of three dimensional parameters,the cervical bone age was correlated with the depth of the third cervical depression and the height of the third cervical anterior margin.The cervical bone age of women based on two-dimensional parameters was correlated with the depth of the second cervical depression and the height of the third cervical anterior margin.After the introduction of three dimensional parameters,the cervical bone age was correlated with the depth of the second cervical depression,the height of the third anterior edge and the area of the fourth cervical vertebra.Correlation analysis showed that the bone age calculated by the cervical vertebra bone age equation based on 2D parameters and the cervical vertebra bone age equation combined with 2D and 3D parameters were highly positively correlated with life age,with R values of 0.905 and 0.833 for males(P<0.01).The female R values were 0.830 and 0.833(P<0.01).The goodness of fit and prediction accuracy of males before the introduction of 3D parameters were higher than those after the introduction of 3D parameters.The goodness of fit and accuracy of prediction were similar for women before and after the introduction of three-dimensional parameters.Conclusion 1.Collecting wrist imaging data from the hospital can be used as a supplementary source for the establishment of a bone age database.2.CHN method should be used with caution in the evaluation of bone age in Hohhot area.3.The application of the CHN method to assess bone age in Hohhot is not applicable,so it is necessary to develop a standard for bone age in this region.4.The cervical spine age equation established based on two-dimensional parameters is:male Y=4.454+1.443×D3+0.544×PH4,female Y=3.541+0.716×D2+0.873×AH3,which is jointly established by two-dimensional and three-dimensional parameters The equation of cervical spine age is: male introduction Y=5.422+1.393×D3+0.413×AH3,female Y=4.491+1.189×D2+0.836×AH3-0.001C4 area.5.Men should choose the cervical spine skeletal age equation based on two-dimensional parameters when assessing the skeletal age of the cervical spine.6.Both equations can be selected for women’s cervical spine age assessment.
Keywords/Search Tags:Bone Age, Chronological Age, Cervical Spine, Wrist, Multiple Regression Equation, Three-Dimensional Reconstruction
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