Evidence map›Paper›PMID 42483465›Full record

ArticleFrontiers in cardiovascular medicine2026

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

Yuxin Xiao, Yuting Zhao, Zhifang Wu, Xiaoli Zhang, Yuetao Wang, Minfu Yang, Sijin Li

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yuxin XiaoDepartment of Nuclear Medicine, First Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, Shanxi, China.
Yuting ZhaoLaboratory for Molecular Imaging, Department of Nuclear Medicine, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Zhifang WuDepartment of Nuclear Medicine, First Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, Shanxi, China.
Xiaoli ZhangLaboratory for Molecular Imaging, Department of Nuclear Medicine, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Yuetao WangDepartment of Nuclear Medicine, the Third Affiliated Hospital of Soochow University, Changzhou, China.
Minfu YangDepartment of Nuclear Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Sijin LiDepartment of Nuclear Medicine, First Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gated SPECT myocardial perfusion imaging (MPI) phase analysis provides a quantitative assessment of left ventricular mechanical synchrony, enabling cardiovascular risk stratification. Phase entropy, a derived imaging biomarker, reflects the spatiotemporal heterogeneity of myocardial contraction. However, its prognostic significance and clinically applicable threshold values have not been rigorously validated. This study aimed to determine the independent prognostic value of phase entropy for predicting major adverse cardiovascular events (MACE). Results: Among 1,674 coronary artery disease patients (median age 62.0 years, 66.2% male) followed for a median 36.6 months, an U-shaped association between phase entropy and major adverse cardiovascular events was identified ( Conclusion: Phase entropy ≤31% or >53% correlates with reduced survival. This biomarker independently predicts major adverse cardiovascular events and provides incremental prognostic value beyond TPD and LVEF, with ≤31% identifying a high-risk subgroup that merits intensified clinical monitoring.

Indexed as

major adverse cardiovascular eventsmyocardial perfusion imagingphase analysisphase entropytotal perfusion deficit

Identifiers

PMID42483465
PMCPMC13385191

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