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目的 通过分析9～17岁女性骨性Ⅰ类错(牙合)锥形束CT颈椎影像特征与年龄的相关性,探讨并建立一种计算年龄的定量评价方法.方法 选择2017年9月至2019年3月于青岛市口腔医院放射科行正畸治疗前锥形束CT检查的9～17岁女性骨性Ⅰ类错(牙合)患者(轻度牙列不齐)108例,对锥形束CT上第三颈椎(C3)和第四颈椎(C4)椎体进行二维线性指标[椎体前缘高度(AH)、椎体中段高度(H)、椎体后缘高度(PH)、椎体宽度(AP)]、二维线性比率指标(AH/PH、AH/AP、AH/H、H/AP、H/PH、PH/AP)及三维重建体积指标的测量和计算,并进行指数变换,采用多元线性回归筛选评估年龄的最优指标,并比较多元线性回归方程的拟合度以及年龄推断的准确性.新增2019年4至7月于青岛市口腔医院放射科拍摄正畸治疗前锥形束CT的9～17岁女性骨性Ⅰ类错(牙合)患者27例,用测量结果对回归方程进行准确性验证.结果 通过C3、C4二维线性指标进行年龄推断的多元线性回归方程:Y=-113.928+33.743×eAH3/100+ 58.844×ePH4/100+ 20.590×eAP4/100(下标3、4分别代表C3、C4)(e为自然常数,e≈2.718),决定系数(R2) =0.745,标准估计误差(standard error of estimate,SEE)=1.31;通过C3、C4二维线性比率指标进行年龄推断的多元线性回归方程:Y=-0.076-2.284×eAH3/PH3+ 3.227×eAH3/AP3+ 2.149×eAH3/H3+1.961×eAH4/H4,R2=0.576,SEE=1.70;通过C3、C4椎体体积值V3、V4进行年龄推断的多元线性回归方程:Y=-16.828+ 22.184×eV3/10000,R2=0.555,SEE=1.71;即各方程拟合度(R2)和准确性(SEE)排序由好至差的顺序为二维线性值、二维线性比率、三维重建体积值.27例新增患者数据的验证结果显示,二维线性指标SEE:二维线性比率指标SEE:三维重建体积指标SEE=1.74:2.00:2.37.结论 本项研究通过锥形束CT二维线性指标对9～17岁女性骨性Ⅰ类错(牙合)进行年龄推断的方法准确性较二维线性比率指标及三维重建体积指标高.“,”Objective To analyze the correlation between the age and the cone-beam CT (CBCT) images of the third and fourth cervical vertebrae in female skeletal class Ⅰ patients aged between 9 and 17 years,and to establish a quantitative evaluation method for calculating the age.Methods CBCT images of 108 female skeletal class Ⅰ patients aged between 9 and 17 years were collected from Qingdao Stomatological Hospital from September,2017 to March,2019.The two-dimensional linear values (AH:height of anterior edge of vertebral body;H:height of middle part of vertebral body;PH:height of posterior edge of vertebral body;AP:width of vertebral body),the two-dimensional linear ratio values (AH/PH,AH/AP,AH / H,H / AP,H / PH,PH/AP) and the three-dimensional volume values of the third vertical vertebrae (C3) and the fourth vertical vertebrae (C4) were measured.By Exponential transformation of measurements and multiple linear regression analysis,the optimal index for evaluating age were screened,and the fitting degree of multiple linear regression equation (R2) and the accuracy of age estimation (SEE) were compared.CBCT images of 27 female skeletal class Ⅰ patients aged from 9 to 17 years were added from Qingdao Stomatological Hospital between April,2019 and July,2019,by which the accuracy of the regression equation was verified.Results Multiple linear regression equation for age estimation based on two-dimensional linear indexes was as follows:Y=-113.928 + 33.743×eAH3/100 + 58.844×ePH4/100 + 20.590 x eAP4/100(“e” was a natural constant,e≈2.718),R2=0.745,SEE=1.31.Multiple linear regression equation for age estimation based on two-dimensional linear ratio indexes was as follows:Y =-0.076-2.284 x eAH3/PH3 + 3.227 × eAH3/AP3 + 2.149 × eAH3/H3 + 1.961 x eAH4/H4,R2=0.576,SEE=1.70.Multiple linear regression equation of age estimation by the volume index was as follows:Y =-16.828 + 22.184 × ev3/10000,R2=0.555,SEE=1.71.The data of 27 new patients were tested.The CBCT measurement index of C3 and C4 vertebral bodies inferred the fitting degree (R2) and accuracy (SEE) of the equation of the age estimation.The two-dimensional linear value was superior to the two-dimensional linear ratio and the latter was superior to the three-dimensional volume value.The standard error of the estimate about them was 1.74,2.00 and 2.37,respectively.Conclusions The two-dimensional linear index of CBCT images of C3 and C4 could be used to estimate the age of 9 to 17-year-old female skeletal class Ⅰ patients,and the accuracy of the method was higher than that of two-dimensional ratio index and three-dimensional volume index.