摘要
目的 为制定符合青岛市国民体质特征的X射线计算机断层摄影(CT)辐射剂量诊断参考水平提供数据基础.方法 随机选取 2022年 1月 1日—2022年 12月 31日青岛市 3家综合性三级医院和 1家一级医院的成年人CT检查辐射剂量数据.共 14台设备 3351例,扫描部位包括颅脑、鼻窦、颈部、胸部、腹部、颈椎、腰椎、颅脑CTA、颈部CTA、肺动脉CTA和主动脉CTA.数据类型包括管电压(kV)、管电流时间积(mAs)、CTDIvol、DLP,并计算CT-DIvol和DLP的第 25%、第 50%和第 75%位分值.结果 成人各部位DLP差距较大,由高向低依次为颅脑CTA、颅脑平扫、腹部、腰椎(螺旋扫描)、主动脉CTA、肺动脉CTA、鼻窦、胸部、颈椎(螺旋扫描)和颈部.颅脑DLP 75%位分值 657.9 mGy·cm,颈部为 228.1 mGy·cm.颅脑CTDIvol最大(75%位分值 52.0 mGy),胸部CTDIvol最小(75%位分值 8.2 mGy).结论 青岛市部分医疗机构成人各部位CTDIvol和DLP数据差异较大,CT辐射剂量与国内外其他地区比较处于较低水平.
Abstract
Objective To provide data base for the development of X-ray computed tomography(CT)diagnostic refer-ence levels suitable for the physical characteristics of residents in Qingdao City,China.Methods A total of 3351 cases of adult CT scan data derived from 14 devices were randomly selected from three tertiary hospitals and one primary hospital from January 1 to December 31,2022.CT examination was performed on the brain,paranasal sinus,neck,chest,abdomen,cervical vertebrae,and lumbar vertebrae.The cases also included CT angiography(CTA)data on the brain,neck artery,pul-monary artery,and aorta.The data types included tube voltage(kV),effective tube current(mAs),computed tomography dose index volume(CTDIvol),and dose length product(DLP).The 1st,2nd,3rd quartile values of CTDIvol and DLP were calculated.Results Large differences were observed in DLP among different body parts of adults.The DLP value showed a descending order of craniocerebral CTA,craniocerebral CT,abdomen CT,lumbar vertebral spiral CT,aorta CTA,pulmon-ary artery CTA,paranasal sinus CT,chest CT,cervical vertebral spiral CT,and neck CT.The 3rd quartile DLP values of the brain and neck were 657.9 and 228.1 mGy·cm,respectively.The CTDIvol of the brain was largest(3rd quartile,52.0 mGy)and the CTDIvol of the chest was smallest(3rd quartile,8.2 mGy).Conclusion There are significant differences in CT-DIvol and DLP between different body parts of adults in Qingdao City,and CT radiation dose levels are relatively low com-pared to other regions in China and other countries.
基金项目
中国疾病预防控制中心公共卫生领域卫生健康标准化研究前期项目(BZ2022-Q028)
NETL
NSTL
万方数据