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Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
Published on: February 12, 2011
Prognostic Value of Left Ventricular Standardized Mechanical Dispersion Derived From Cardiac Magnetic Resonance
Sisi Zhu1, Liumei Li1, Xiaoxia Liu1
1Department of Radiology, Affiliated Hospital 2 of Nantong University, Nantong 226001, PR China (S.Z, L.L., X.L., D.W., J.J., T.W.).
Insights
Standardized left ventricular mechanical dispersion (sLVMD) predicts major adverse cardiovascular events (MACEs) in dilated cardiomyopathy (DCM) patients. This cardiac imaging metric offers valuable prognostic insights beyond traditional risk factors.
Area of Science:
- Cardiology
- Cardiovascular Imaging
- Biomedical Engineering
Background:
- Dilated cardiomyopathy (DCM) is a significant cause of heart failure and sudden cardiac death.
- Accurate prognostic assessment in DCM is crucial for guiding clinical management and improving patient outcomes.
- Current risk stratification models may not fully capture the complex pathophysiology of DCM.
Purpose of the Study:
- To determine the prognostic capability of standardized left ventricular mechanical dispersion (sLVMD) for major adverse cardiovascular events (MACEs) in DCM patients.
- To evaluate the added predictive value of sLVMD to existing risk models for MACEs.
- To explore the incremental prognostic information provided by sLVMD in DCM.
Main Methods:
- A cohort of DCM patients undergoing cardiac magnetic resonance (CMR) imaging was analyzed.
- Left ventricular mechanical dispersion (LVMD) was quantified using CMR feature tracking in radial, circumferential, and longitudinal directions.
- Standardized LVMD (sLVMD) was calculated by normalizing LVMD to cardiac cycle duration; MACEs included cardiac death, heart failure hospitalization, and malignant arrhythmia.
Main Results:
- Elevated sLVMD levels were significantly associated with a higher incidence of MACEs during follow-up.
- Multifactorial Cox regression identified sLVMD (sRMD, sCMD, sLMD) as an independent predictor of MACEs.
- The predictive model incorporating sLVMD demonstrated a significant improvement in C-statistic compared to models without sLVMD.
Conclusions:
- sLVMD, assessed via CMR, is a robust independent predictor of MACEs in patients with DCM.
- sLVMD provides significant incremental prognostic information, enhancing risk assessment in DCM.
- This imaging biomarker holds potential for improved clinical decision-making in DCM management.
Rationale And Objectives:
To evaluate the prognostic value of standardized left ventricular mechanical dispersion (sLVMD) for major adverse cardiovascular events (MACEs) in patients with dilated cardiomyopathy (DCM) and to assess its incremental contribution to predictive model performance.
Materials And Methods:
This study included patients with DCM who underwent cardiac magnetic resonance (CMR). Myocardial strain was assessed using CMR feature tracking. Left ventricular mechanical dispersion (LVMD) was defined as the standard deviation of time-to-peak strain of the 16 segments in radial (RMD), circumferential (CMD), and longitudinal (LMD) directions. sLVMD was calculated as LVMD/cardiac cycle duration (seconds), including sRMD, sCMD and sLMD. MACEs included cardiac death, hospitalization for heart failure, and malignant arrhythmia.
Results:
During a median follow-up period of 28.0 months, 83 patients reached the study endpoints. Kaplan-Meier analysis showed that elevated sLVMD was associated with an increased incidence of MACEs (all log-rank P < 0.001). Multifactorial Cox regression identified sLVMD as an independent predictor of MACEs (sRMD: hazard ratio [HR]) 1.008; sCMD: HR 1.007; sLMD: HR 1.005; all P < 0.05). The C-statistic of the model incorporating sLVMD and conventional clinical and imaging risk factors for predicting MACEs was 0.713 (95% CI [confidence interval], 0.649-0.777; P = 0.003), which represented a significant improvement compared with the model including LVMD and the same conventional factors (C-statistic, 0.678; 95% CI, 0.614-0.742; P = 0.018).
Conclusions:
sLVMD assessed by CMR serves as a significant independent predictor of MACEs in patients with DCM and provides valuable incremental information for prognostic assessment.
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