Clinical Report: Evaluating Phase Entropy from Gated SPECT-MPI as a Predictor of MACE

Overview

This study investigates the prognostic value of phase entropy derived from gated SPECT-MPI in predicting major adverse cardiovascular events (MACE) in patients with coronary artery disease. It identifies abnormal phase entropy thresholds that correlate with reduced survival.

Background

Gated SPECT myocardial perfusion imaging (MPI) phase analysis quantifies left ventricular mechanical synchrony, which is crucial for cardiovascular risk assessment. Phase entropy, a derived biomarker, reflects the heterogeneity of myocardial contraction and may provide additional prognostic insights for patients at risk of adverse cardiovascular outcomes.

Data Highlights

Key Findings

• Phase entropy ≤31% or >53% is associated with significantly lower survival rates.
• Phase entropy independently predicts major adverse cardiovascular events (MACE).
• The addition of phase entropy to models including total perfusion deficit (TPD) and left ventricular ejection fraction (LVEF) improves MACE prediction.
• A U-shaped association between phase entropy and MACE was identified (P = 0.005).
• Patients with abnormal phase entropy exhibited lower survival compared to those with normal values (P < 0.001).

Clinical Implications

Clinicians should consider phase entropy as a prognostic marker in patients with coronary artery disease.

Conclusion

Phase entropy serves as an independent predictor of major adverse cardiovascular events, providing insights for risk stratification beyond traditional measures.

Related Resources & Content

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8. Frontiers | Phase Entropy of Gated SPECT-MPI for Predicting Major Adverse Cardiovascular Events: Incremental Prognostic Value Beyond Perfusion and Function