中国医学装备2024，Vol.21Issue(6)：45-49,5.DOI:10.3969/j.issn.1672-8270.2024.06.009
心脏双源CT与心脏磁共振成像计算细胞外容积用于评价慢性心力衰竭患者心肌弥漫性纤维化的对比研究
A comparative study of cardiac dual-source CT-ECV and MRI-ECV in evaluating diffuse myocardial fibrosis in patients with chronic heart failure
摘要
Abstract
Objective:To investigate the feasibility and accuracy of extracellular volume(ECV)values that were calculated respectively by dual-source computed tomography(DSCT)and magnetic resonance imaging(MRI)in evaluating myocardial fibrosis(MF)of patients with chronic heart failure(CHF).Methods:A total of sixty-seven CHF patients admitted to People's Hospital of Xinjiang Uygur Autonomous Region from January 2019 to June 2021 were selected,and they respectively underwent DSCT and MRI scans to calculate ECV.The diagnostic efficacies of the two methods for MF were compared.Results:The distribution coefficient(λ)and ECV values of DSCT-ECV were respectively 0.56±0.27 and(33.04±10.68)%,while those of MRI-ECV were respectively 0.51±0.32 and(29.49±11.14)%.There were significant differences in them between DSCT-ECV and MRI-ECV(P>0.05).Both DSCT-ECV and MRI-ECV had higher sensitivity,specificity and accuracy in diagnosing MF of CHF patients(DSCT-ECV:100%,92.86%and 98.51%,MRI-ECV:98.11%,100%and 98.51%).There was no significant difference in diagnostic reliability between the two methods(P>0.05).Conclusion:ECV is a quantifiable technique for heart failure,which has a strong ability in predicting diffuse myocardial fibrosis.The accuracies of both DSCT-ECV and MRI-ECV are higher in evaluating MF of CHF patients,which can be used in relevant disease grading,progress monitoring and treatment guidance.However,DSCT-ECV has a wider application range and it is more convenient than MRI-ECV.关键词
计算机体层成像(CT)/磁共振成像(MRI)/细胞外容积(ECV)/心力衰竭/心肌纤维化(MF)Key words
Computed tomography(CT)/Magnetic resonance imaging(MRI)/Extracellular volume(ECV)/Heart failure/Myocardial fibrosis(MF)分类
医药卫生引用本文复制引用
刘烁,李晓娟,张梦琪,王姗姗..心脏双源CT与心脏磁共振成像计算细胞外容积用于评价慢性心力衰竭患者心肌弥漫性纤维化的对比研究[J].中国医学装备,2024,21(6):45-49,5.基金项目
新疆维吾尔自治区科技计划(2019D01C136) Xinjiang Uygur Autonomous Region science and technology program(2019D01C136) （2019D01C136）
