Late gadolinium enhancement imaging and sudden cardiac death

Sanjay K. Prasad; Tamim Akbari; Martin J. Bishop; Brian P. Halliday; Francisco Leyva-Leon; Francis Marchlinski

doi:10.1093/eurheartj/ehaf464

Late gadolinium enhancement imaging and sudden cardiac death

Sanjay K. Prasad^*, Tamim Akbari, Martin J. Bishop, Brian P. Halliday, Francisco Leyva-Leon, Francis Marchlinski

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

3 Citations (SciVal)

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Abstract

The prediction and management of sudden cardiac death risk continue to pose significant challenges in cardiovascular care despite advances in therapies
over the last two decades. Late gadolinium enhancement (LGE) on cardiac magnetic resonance—a marker of myocardial fibrosis—is a powerful non-
invasive tool with the potential to aid the prediction of sudden death and direct the use of preventative therapies in several cardiovascular conditions.
In this state-of-the-art review, we provide a critical appraisal of the current evidence base underpinning the utility of LGE in both ischaemic and
non-ischaemic cardiomyopathies together with a focus on future perspectives and the role for machine learning and digital twin technologies.

Original language	English
Pages (from-to)	3555-3568
Number of pages	14
Journal	European Heart Journal
Volume	46
Issue number	36
Early online date	16 Jul 2025
DOIs	https://doi.org/10.1093/eurheartj/ehaf464
Publication status	Published - 21 Sept 2025

Bibliographical note

Copyright © The Author(s) 2025. Published by Oxford University Press on behalf of the European Society of Cardiology. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Funding

Research funding has been received by the British Heart Foundation, Medical Research Council UK, Alexander Jansons Myocarditis UK, Royal Brompton & Harefield Hospitals Charity and Rosetrees Trust.

Keywords

Cardiomyopathy
Cardiac magnetic resonance
Outcomes
Sudden cardiac death
Late gadolinium enhancement

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10.1093/eurheartj/ehaf464Licence: CC BY 4.0

SK Prasad et al_Late gadolinium enhancement imaging and sudden cardiac death
Copyright © The Author(s) 2025. Published by Oxford University Press on behalf of the European Society of Cardiology. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Final published version, 11.6 MBLicence: CC BY 4.0

Cite this

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AU - Marchlinski, Francis

N1 - Copyright © The Author(s) 2025. Published by Oxford University Press on behalf of the European Society of Cardiology. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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AB - The prediction and management of sudden cardiac death risk continue to pose significant challenges in cardiovascular care despite advances in therapiesover the last two decades. Late gadolinium enhancement (LGE) on cardiac magnetic resonance—a marker of myocardial fibrosis—is a powerful non-invasive tool with the potential to aid the prediction of sudden death and direct the use of preventative therapies in several cardiovascular conditions.In this state-of-the-art review, we provide a critical appraisal of the current evidence base underpinning the utility of LGE in both ischaemic andnon-ischaemic cardiomyopathies together with a focus on future perspectives and the role for machine learning and digital twin technologies.

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KW - Outcomes

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Late gadolinium enhancement imaging and sudden cardiac death

Abstract

Bibliographical note

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Keywords

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