Evidence map›Paper›PMID 42739165›Full record

ReviewDiagnostics (Basel, Switzerland)2026

Late Gadolinium Enhancement Entropy as a Novel Imaging Biomarker of Myocardial Tissue Heterogeneity-A Comprehensive Review.

Apostolos Vrettos, Michael A Winkler, Alexios Antonopoulos, Maria Prasinou, Uzma Gul, Polyvios Demetriades, Sanjeev Bhattacharyya

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Apostolos VrettosUnit of Inherited Cardiac Conditions and Sports Cardiology, First Department of Cardiology, Athens Medical School, National and Kapodistrian University of Athens, 115 27 Athens, Greece.
Michael A WinklerDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA 30322, USA.ORCID 0000-0001-5858-3841
Alexios AntonopoulosUnit of Inherited Cardiac Conditions and Sports Cardiology, First Department of Cardiology, Athens Medical School, National and Kapodistrian University of Athens, 115 27 Athens, Greece.ORCID 0000-0001-9137-0143
Maria PrasinouDepartment of Physiology, Medical School, National and Kapodistrian University of Athens, 115 27 Athens, Greece.
Uzma GulUniversity Hospitals Coventry and Warwickshire NHS Trust, Clifford Bridge Road, Coventry CX2 2DX, UK.ORCID 0000-0002-9075-2876
Polyvios DemetriadesBarts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London EX1A 7BE, UK.
Sanjeev BhattacharyyaBarts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London EX1A 7BE, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Late gadolinium enhancement (LGE) cardiac magnetic resonance is the reference standard for non-invasive myocardial tissue characterization. Conventional LGE analysis focuses on the presence and extent of fibrosis, yet these measures incompletely describe the spatial complexity of myocardial scar that underpins arrhythmogenesis. Entropy, derived from radiomic analysis of LGE signal-intensity distributions, has emerged as a surrogate marker of myocardial tissue heterogeneity. Mechanistically, heterogeneous fibrosis promotes electrical conduction alterations, and entropy serves as a global descriptor of this complex substrate. A growing body of evidence suggests that higher LGE entropy is associated with increased arrhythmogenicity and major adverse cardiac events. Several studies have shown that this association remains significant after adjustment for conventional clinical and imaging predictors. A smaller number of studies have gone further, demonstrating that incorporation of LGE entropy improves the discriminatory or reclassification performance of established risk-prediction models. This narrative review critically synthesizes the current evidence on LGE-derived entropy, compares methodological approaches and clinical applications, and discusses its principal limitations. After standardization and prospective validation, entropy-based phenotyping may prove useful for individualized risk stratification beyond conventional LGE metrics and guide clinical decision-making.

Indexed as

cardiovascular magnetic resonanceLGE entropymyocardial heterogeneityradiomicsscar heterogeneitysudden cardiac deathtexture analysisventricular tachyarrhythmia

Identifiers

PMID42739165
PMCPMC13565341

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.