Phase entropy of gated SPECT-MPI for predicting major adverse cardiovascular events: incremental prognostic value beyond perfusion and function - Scorecard - MDSpire

Phase entropy of gated SPECT-MPI for predicting major adverse cardiovascular events: incremental prognostic value beyond perfusion and function

  • By

  • Yuxin Xiao

  • Yuting Zhao

  • Zhifang Wu

  • Xiaoli Zhang

  • Yuetao Wang

  • Minfu Yang

  • Sijin Li

  • July 7, 2026

  • 0 min

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Clinical Scorecard: Evaluating Phase Entropy from Gated SPECT-MPI as a Predictor of Major Adverse Cardiovascular Events: Added Prognostic Insights Beyond Perfusion and Function

At a Glance

CategoryDetail
ConditionCoronary artery disease
Key MechanismsPhase entropy reflects spatiotemporal heterogeneity of myocardial contraction and quantifies left ventricular mechanical synchrony.
Target PopulationPatients with coronary artery disease
Care SettingCardiovascular imaging and risk stratification

Key Highlights

  • Phase entropy ≤31% or >53% correlates with reduced survival.
  • Phase entropy independently predicts major adverse cardiovascular events (MACE).
  • Addition of phase entropy to models including total perfusion deficit (TPD) and left ventricular ejection fraction (LVEF) improves MACE prediction.

Guideline-Based Recommendations

Diagnosis

  • Use phase entropy as a biomarker for assessing cardiovascular risk in patients with coronary artery disease.

Management

  • Consider intensified clinical monitoring for patients with abnormal phase entropy values.

Monitoring & Follow-up

  • Regular assessment of phase entropy in patients undergoing gated SPECT-MPI.

Risks

  • Patients with abnormal phase entropy values are at higher risk for major adverse cardiovascular events.

Patient & Prescribing Data

Coronary artery disease patients, median age 62.0 years, 66.2% male.

Phase entropy provides incremental prognostic value beyond conventional predictors.

Clinical Best Practices

  • Incorporate phase entropy analysis in routine gated SPECT-MPI evaluations.
  • Utilize phase entropy thresholds for risk stratification and management decisions.

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