摘要
目的探讨儿童超低剂量胸部CT检查中应用多模型自适应统计迭代重建(ASiR-V)算法对辐射剂量、图像质量的影响。方法选择本院72例行胸部CT检查儿童(入院均在2024年1月—2025年1月期间)为研究对象,按数字随机表分为2组,对照组(n=36)管电压为100 kVp,采用传统滤波反投影(FBP)算法,观察组(n=36)管电压为80 kVp,分别进行30%ASiR-V(观察1组)、60%ASiR-V(观察2组)、90%ASiR-V(观察3组)重建,记录各组辐射剂量,并对图像质量进行主、客观评价。结果观察组CTDI_(vol)(0.86±0.09)mGy、DLP(25.90±3.55)mGy·cm、ED(0.01±0.001)mSv低于对照组(P<0.05)。4组间图像质量主观评分未见统计学差异(z=-2.206,P=0.530),另经Fisher精确检验显示,观察2组4~5分占比率高于观察3组(P=0.024)。观察组2组、3组纵隔窗升主动脉噪声值以及肺窗右、左中肺、右、左上肺噪声值低于对照组,且3组低于2组(P<0.05)。观察组2组、3组升主动脉SNR、肝脏SNR高于对照组,且3组高于2组(P<0.05)。结论60%ASiR-V算法重建用于儿童超低剂量胸部CT检查,能确保良好图像质量的同时,减少辐射剂量,提高检查安全性。
Objective To explore the impact of multi-model adaptive statistical iterative reconstruction(ASiR-V)algorithm on radiation dose and image quality in children’s ultra-low-dose chest CT examination.Methods A total of 72 children who underwent chest CT scans at Qingdao Municipal Hospital with admissions between January 2024 and January 2025 were selected as subjects and divided into two groups using a random number table.In the control group(n=36),the tube voltage was set at 100 kVp and the conventional filtered back projection algorithm was used.In the observation group(n=36),the tube voltage was set at 80 kVp and images were reconstructed using 30%ASiR-V(observation group 1),60%ASiR-V(observation group 2),and 90%ASiR-V(observation group 3),respectively.Radiation doses were recorded for each group,and both subjective and objective evaluations of image quality were conducted.Results Compared with the control group,the observation group demonstrated significantly lower volume CT dose index[(0.86±0.09)mGy],dose length product[(25.90±3.55)mGy·cm],and effective dose[(0.01±0.001)mSv](P<0.05).There was no significant difference in subjective evaluation scores of image quality among the four groups(z=−2.206,P=0.530).Additionally,Fisher’s exact test showed that the proportion of images scoring 4-5 points was higher in observation group 2 than in observation group 3(P=0.024).The noise value of the ascending aorta in the mediastinal window and the noise values of the right and left middle lung fields and the right and left upper lung fields in the lung window were lower in observation groups 2 and 3 than in the control group,and these values were lower in observation group 3 than in observation group 2(P<0.05).The signalto-noise ratios of the ascending aorta and liver in observation groups 2 and 3 were higher than those in the control group,and the ratios were higher in observation group 3 than in observation group 2(P<0.05).Conclusion Reconstruction using the 60%ASiR-V algorithm for pediatric ultra-low-dose chest CT examination can ensure good image quality while reducing radiation dose and improving examination safety.
作者
王立敏
吕秀敏
王艳萍
徐璐璐
WANG Limin;LYU Xiumin;WANG Yanping;XU Lulu(Department of Pediatrics,Qingdao Rehabilitation University Hospital(Qingdao Municipal Hospital),Qingdao 266001,China)
出处
《中国辐射卫生》
2025年第4期540-545,共6页
Chinese Journal of Radiological Health
基金
2023年度山东省中医药科技项目(M-2023176)。
关键词
儿童
多模型自适应统计迭代重建算法
超低剂量
胸部CT
辐射剂量
图像质量
Children
Multi-model adaptive statistical iterative reconstruction algorithm
Ultra-low dose
Chest CT
Radiation dose
Image quality
