摘要
目的初步探究体重和监测层面颈动脉CT峰值如何影响头颈部CT血管造影(CTA)改良法个性化扫描动脉内CT值。方法回顾性分析本院行头颈部CTA检查患者42例,全部检查者均运用头颈部CTA改良法进行个性化扫描时间测算,测量并记录体重(记作:M)、监测层面双侧颈动脉中心区最大CT值(记作:Nmax)、主动脉弓层面动脉中心区CT值(记作:N1)、双侧颈动脉窦部层面动脉中心区CT值(双侧取平均,记作:N2)、双侧大脑中动脉M1段层面动脉中心区CT值(双侧取平均,记作:N3)。结果运用多元线性Pearson相关及多元线性回归分析得出M、Nmax与N2有中度线性相关关系(Pearson相关系数分别为-0.673、0.700,P值分别为0.000、0.000;标准化Beta值分别为-0.418、0.476,P分别为0.001、0.000,入选标准为P=0.10,排除标准为P=0.15),预测方程式为:N2=617.929-4.806×M+0.999×Nmax;分别运用一元线性Pearson相关及一元线性回归分析得出N1与N2、N3与N2均有高度线性相关关系(Pearson相关系数分别为0.957、0.953,P值分别为0.000、0.000;标准化Beta值分别0.957、0.953,P值分别为0.000、0.000),预测方程式为:N1=5.685+0.795×N2、N3=7.254+0.857×N2。结论M和Nmax与头颈部CTA个性化扫描动脉内CT值呈中度线性相关关系,N1与N2、N3与N2均有高度线性相关关系,运用相关预测方程式可以指导头颈部CTA个性化扫描。
Objective To preliminarily explore that how the body weight and the maximum CT value of the central area of bilateral carotid artery at the monitoring level affects the artery CT value in the modified head and neck CT angiography individualized scan.Methods A retrospective analysis was performed on 42 patients who underwent head and neck CT angiography examination in our hospital.All patients were scanned by the modified individualized sweep time measurement method of head and neck CT angiography.The weight(M),the maximum CT value of the central area of bilateral carotid arteries at the monitoring level(as:Nmax),the CT value of the central area of aorta at aortic arch level(as:N1),the CT value of the central area of bilateral carotid artery sinus levels(double side take on average,as:N2),and the CT value of the central area of the M1 segment of bilateral middle cerebral arteries(double side take on average,as:N3)were measured and recorded.Results Multivariate linear correlation and multivariate linear regression analyses were used to obtain moderate linear correlation between body weight(M),Nmax and N2(Pearson correlation coefficients were-0.673 and 0.700,and P values were 0.000 and 0.000,respectively).The standardized Beta values were-0.418 and 0.476,P values were 0.001 and 0.000,respectively.The inclusion criteria was P=0.10 and the exclusion criteria was P=0.15.The prediction equations were:N2=617.929-4.806×M+0.999×Nmax.The linear correlation with one variable and the linear regression with one variable were respectively used to obtain the highly linear correlation between N1 and N2,and between N3 and N2(Pearson correlation coefficients were 0.957 and 0.953,respectively;P values were 0.000 and 0.000,respectively.The standardized Beta values were 0.957 and 0.953,respectively,and the P values were 0.000 and 0.000,respectively).The prediction equations were N1=5.685+0.795×N2,N3=7.254+0.857×N2.Conclusion Body weight(M)and the maximum CT value of the central area of bilateral carotid artery at the monitoring level showed a moderate linear correlation with CT value in the head and neck CT angiography individualized scanning artery,and N1 and N2,N3 and N2 showed a high linear correlation.Individualized head and neck CTA scans can be guided by the relevant predictive equations.
作者
杨正彬
谢惠
吴绍全
邓小林
YANG Zhengbin;XIE Hui;WU Shaoquan(Department of Radiology,Dazu Hospital of First Affiliated Hospital of Chongqing Medical University,Chongqing 402360,P.R.China)
出处
《临床放射学杂志》
CSCD
北大核心
2020年第6期1064-1068,共5页
Journal of Clinical Radiology
基金
重庆市大足区2018年度科技发展项目(编号:DZKJ2018ACC1012)
关键词
头颈部CTA
改良法
小剂量监测
个性化
Head and neck CT angiography
Improved method
Low dose monitoring
Individuation