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Two-dimensional speckle tracking imaging for evaluation right ventricular synchrony of early stage systemic lupus erythematosus / 中国医学影像技术
Article in Zh | WPRIM | ID: wpr-1026247
Responsible library: WPRO
ABSTRACT
Objective To observe the value of two-dimensional speckle tracking imaging(2D-STI)for evaluating right ventricular(RV)synchrony of early stage systemic lupus erythematosus(SLE).Methods Totally 60 SLE patients(SLE group)and 65 healthy subjects(control group)who underwent echocardiography were retrospectively enrolled.The general data,conventional ultrasonic parameters,strain parameters based on 2D-STI and synchrony parameters based on 2D-STI were compared between groups.Pearson correlation analysis was performed to explore the correlations of general information,conventional ultrasonic parameters and strain parameters with synchrony parameters in SLE group.Multiple linear regression was used to analyze the independent impact factors of RV synchrony of early stage SLE.Results No significant difference of general data nor conventional ultrasound parameters was found between groups(all P>0.05).Strain parameters in SLE group were all lower,whereas synchrony parameters in SLE group were all higher than those in control group(all P<0.05).In SLE group,synchrony parameters of RV(standard deviation of time to peak strain of global[SD-TPSglobal],of free wall[SD-TPSfree]and of interventricular septum[SD-TPSseptal])were positively and weakly correlated with both SLE duration and systemic lupus erythematosus disease activity index(SLEDAI)(| r | 0.256-0.273,all P<0.05),but slightly and negatively correlated with global longitudinal strain(GLS)of RV(| r | 0.435-0.488,all P<0.05).GLS of RV was the independent impact factor of synchrony parameters of early stage SLE(P<0.05).Conclusion 2D-STI could be used to evaluate synchrony of RV in early stage SLE through measuring GLS of RV.
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Full text: 1 Index: WPRIM Language: Zh Journal: Chinese Journal of Medical Imaging Technology Year: 2023 Type: Article
Full text: 1 Index: WPRIM Language: Zh Journal: Chinese Journal of Medical Imaging Technology Year: 2023 Type: Article