Long-term Prognostic Value of Stress Phase Entropy for Predicting Major Cardiac Events in Patients with Known or Suspected Coronary Artery Disease
Year: 2026
Type: article
Study design: Observational Study
Abstract: Tc-tetrofosmin electrocardiogram-gated (ECG)-gated single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI).Results During the follow-up, 293 patients (13%) experienced MCEs. A multivariate analysis showed that age, the summed difference score, estimated glomerular filtration rate, stress LV ejection fraction (EF), and stress entropy were independent predictors of MCEs. A Kaplan-Meier analysis showed significant risk stratification between each group in the stress phase entropy tertiles. The global chi-squared value predicting MCE onset was significantly improved in the model with the summed stress score and stress LVEF plus entropy, but it was comparable in the model with added bandwidth or phase SD.Conclusion Stress phase entropy derived from ECG-gated SPECT MPI was a strong long-term predictor of MCEs in Japanese patients with CAD (known or suspected) and it is considered to be the most useful left ventricular dyssynchrony index to improve risk stratification over prediction by perfusion and LVEF assessment alone.
Source: Internal Medicine
Institution: Nihon University
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
Funder: Nihon Medi-Physics
OpenAlex ID: W7212513685
