摘要
目的探讨80 kVp联合多模型自适应统计迭代重组(adaptive statistical iterative reconstruction-v,ASiR-V)算法对肾移植术前评估髂动脉CT血管成像(CT angiography,CTA)图像质量的影响。方法连续收集肾移植术前评估冠状动脉和髂动脉的患者50例,采用一站式联合扫描,扫描结束后,对髂动脉图像进行不同后置ASiR-V重建(迭代率50%~100%,间隔10%),得到6组图像,评价并比较所有图像质量,记录患者检查中的DLP和CTDI,计算出有效辐射剂量(effective dose,ED)。结果髂动脉不同ASiR-V的图像质量主观评分均在3分以上,为(3.32±0.24)分,CT值为(344.30±74.53)HU,患者整个检查所接受的ED为(2.71±0.42)mSv。随ASiR-V迭代率的增加,噪声值降低,信噪比、对比噪声比增加,其中80%ASiR-V的主观图像质量评分最高,为(3.41±0.26)分。结论对于需要进行肾移植术前同时评估冠脉和髂动脉的患者,选择低管电压(80 kVp)与后置80%ASiR-V重建算法的组合应用,为在低ED水平下获得了较高质量的髂动脉图像,这可为根据个性化扫描方案从而进一步降低此类患者受照的辐射剂量提供实践基础,具有良好的可行性和临床应用价值。
Objective To investigate the effects of 80 kVp combined with multi-model adaptive statistical iterative reconstruction algorithm(ASiR-V)on the image quality of CT angiography(CTA)of iliac artery in kidney transplantation candidates before operation.Methods Totally 50 kidney transplantation candidates underwent“one-stop”scanning combined CTA for coronary and iliac arteries were recruited consecutively.After the scanning,images were reconstructed with different ASiR-V levels on the iliac artery from 50%to 100%at a 10%interval,and 6 groups of images were obtained.We evaluated and compared all image qualities,DLP and CTDI in the patients’examination were recorded,and the effective dose(ED)was calculated.Results All of the image quality objective scores of different ASiR-V levels on the iliac artery were above 3 points(3.32±0.24),and the average CT value was(344.30±74.53)HU.The ED received by the patient throughout the examination was(2.71±0.42)mSv.The image noise decreased while SNR and CNR increased monotonically as the ASiR-V levels increased,among which 80%ASiR-V image quality score was the highest with 3.41±0.26.Conclusion For patients who need to have both coronary and iliac arteries evaluated before kidney transplantation operation,low tube voltage(80 kVp)combined with 80%ASiR-V can obtain high-quality iliac artery images under the premise of reducing the ED dose,which can provide practical basis for further reducing the dose in personalized scanning scheme for such patients.It has good feasibility and clinical application value.
作者
贾晓茜
徐文婷
同维
陈姣
朱书萌
田倩
牛心怡
张向利
郭建新
JIA Xiaoqian;XU Wenting;TONG Wei;CHEN Jiao;ZHU Shumeng;TIAN Qian;NIU Xinyi;ZHANG Xiangli;GUO Jianxin(Department of Radiology,The First Affiliated Hospital of Xi’an Jiaotong University,Xi’an 710061,China)
出处
《西安交通大学学报(医学版)》
CAS
CSCD
北大核心
2021年第5期763-768,共6页
Journal of Xi’an Jiaotong University(Medical Sciences)
基金
陕西省重点研发计划项目-高校联合项目(No.2020GXLH-Y-026)
西安交通大学第一附属医院3D打印医学研究资助项目(No.XJ⁃TU1AF-3D-2018-003)。
关键词
肾移植
X线计算机
髂动脉
迭代重建
图像质量
renal transplant
X-ray computer
iliac artery
iterative reconstruction
image quality