摘要
目的:分析基于冠状动脉CT的血流储备分数(FFR)在冠心病患者临床诊断中对诊断灵敏度及特异度的影响。方法:此次研究总共纳入48例研究对象,均是2020年12月-2022年12月到我院诊治的疑似冠心病患者,均接受冠状动脉造影检查(CAG)、冠脉CT造影检查(CCTA)下测定FFR值检查。将CAG作为参照标准,统计CCTA下测定FFR值的诊断效能。结果:将CAG作为参照标准,48例疑似冠心病患者经CT-FFR检查后,真阳38例,假阳1例,真阴5例,假阴4例。CT-FFR诊断冠心病的敏感度为90.48%(38/42),特异度为83.33%(5/6),准确率为89.58%(43/48)。在冠心病检出率上,CT-FFR检查低于CAG检查,对比差异有统计学意义(P<0.05)。结论:CT冠脉造影下测定FFR值用于冠心病的临床诊断效果良好,诊断敏感度与特异度较高,可作为临床诊断冠心病的辅助手段,临床可进一步推广应用。
Objective:To analyze the impact of coronary artery CT based blood fractional flow reserve fraction(FFR)on diagnostic sensitivity and specificity in clinical diagnosis of coronary heart disease pa⁃tients.Methods:A total of 48 study subjects were included in this study,all of whom were suspected coro⁃nary heart disease patients who visited our hospital from December 2020 to December 2022.They under⁃went coronary angiography(CAG)and FFR value measurement under coronary CT angiography(CCTA).Using CAG as a reference standard,the diagnostic efficacy of measuring FFR values under CCTA was sta⁃tistically analyzed.Results:Using CAG as the reference standard,after CT-FFR examination of 48 sus⁃pected coronary heart disease patients,there were 38 cases of true positive,1 case of false positive,5 cases of true negative,and 4 cases of false negative.The sensitivity of CT-FFR in diagnosing coronary heart disease was 90.48%(38/42),the specificity was 83.33%(5/6),and the accuracy was 89.58%(43/48).In the detection rate of coronary artery disease,CT-FFR was lower than CAG,and the difference in com⁃parison was statistically significant(P<0.05).Conclusion:The determination of FFR value under coronary CT angiography has a good clinical diagnostic effect for coronary heart disease,which is beneficial for im⁃proving diagnostic sensitivity and specificity.It can be used as an auxiliary means for clinical diagnosis of coronary heart disease and can be further promoted and applied in clinical practice.
作者
徐天佩
江永尧
李叶明
XU Tian-pei;JIANG Yong-yao;LI Ye-ming(Department of Radiology,Dongguan Eighth People's Hospital(Dongguan Children's Hospital),Guangdong 523000,China)
出处
《影像技术》
CAS
2024年第2期9-12,19,共5页
Image Technology
基金
东莞市社会发展科技项目(20221800900262)。
