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Updated: Feb 5, 2026

Myocardial Infarction and Functional Outcome Assessment in Pigs
Published on: April 25, 2014
Prognostic Value of Early Evaluation of Left Ventricular Dyssynchrony After Myocardial Infarction
Hiroshi Wakabayashi1, Junichi Taki2, Anri Inaki2
1Department of Nuclear Medicine, Kanazawa University Hospital, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan. wakabayashi@staff.kanazawa-u.ac.jp.
Insights
Early assessment of left ventricular (LV) dyssynchrony after myocardial infarction (MI) using quantified gated single photon emission tomography (SPECT) can predict adverse cardiac events. This prognostic value is comparable to established markers like ejection fraction (EF) and end-systolic volume (ESV).
Area of Science:
- Cardiology
- Medical Imaging
- Biomedical Engineering
Background:
- Left ventricular (LV) dyssynchrony is common after myocardial infarction (MI).
- Predicting adverse cardiac events post-MI is crucial for patient management.
Purpose of the Study:
- To investigate the prognostic value of early LV dyssynchrony after MI.
- To assess dyssynchrony using quantified gated single photon emission tomography (SPECT) in a rat model.
Main Methods:
- Myocardial infarction was induced in 16 rats via coronary artery occlusion and reperfusion.
- SPECT imaging was performed at multiple time points post-MI.
- LV function and dyssynchrony parameters (PSD, BW, entropy) were analyzed using QGS software.
Main Results:
- Rats with lower ejection fraction (EF) and higher LV volumes, phase standard deviation (PSD), bandwidth (BW), and entropy at 3 days post-MI had a poorer prognosis.
- Lower EF was the strongest independent predictor of adverse cardiac events (RR 16.0, P=0.03).
- Higher end-systolic volume (ESV) and entropy also predicted adverse events in univariate analysis.
Conclusions:
- Early dyssynchrony, evaluated by QGS, is a valuable predictor of cardiac events post-MI in rats.
- Assessing early dyssynchrony provides important prognostic information, similar to EF and ESV.
- This technique may aid in future risk stratification for cardiac events.
Purpose:
Dispersion in the contraction of the normally coordinate ventricular system, referred to as left ventricular (LV) dyssynchrony, is constantly observed at different grades of severity after myocardial infarction (MI). We aimed to investigate the prognostic value of early dyssynchrony in adverse cardiac events after MI in a rat model using the quantified gated single photon emission tomography (SPECT; QGS) software.
Procedures:
After thoracotomy, the left coronary arteries of 16 rats were occluded and reperfused. SPECT was performed with [99m Tc]methoxyisobutylisonitrile 3 days, 1 week, 2 weeks, 4 weeks, and 8 weeks after MI. The phase analysis parameters including mean phase standard deviation (PSD), bandwidth (BW), entropy, and LV function were analyzed by the QGS software. A receiver operating characteristic curve was used to explore the predictors for cardiac death and severe cardiac failure (ejection fraction [EF] < 35 %). A Kaplan-Meier event-free survival analysis, univariate, and multivariate Cox proportional hazards regression analyses were conducted.
Results:
Four rats had died, whereas another four rats presented with severe heart failure. LV end-diastolic volume was increased during follow-up, but no significant changes were noted in the other parameters. The prognosis of rats with lower EF and higher end-diastolic and end-systolic volumes (ESV), PSD, BW, and entropy at 3 days after MI was poor. Adverse cardiac events were associated with lower EF (relative risk [RR] 13.1, 95 % confidence Interval [CI]: 2.1-259.9, P = 0.003), higher ESV (RR 6.4, CI 1.4-45.9, P = 0.01), and higher entropy (RR 4.3, 95 % CI: 1.0-21.8, P = 0.04) by univariate analysis. Multivariate analysis showed that lower EF was the most powerful independent predictor of adverse cardiac events (RR 16.0, CI 1.1-429.2, P = 0.03).
Conclusions:
Severe early dyssynchrony evaluated by QGS after MI could predict cardiac events in the rat model in the same way as other cardiac function parameters including EF and ESV. The early assessment of dyssynchrony after MI may provide helpful information for the prediction of cardiac events in the future.
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