Cardiac MRI in diabetic cardiomyopathy: translating imaging biomarkers into clinical practice

Diabetic cardiomyopathy (DbCM) is a progressive cardiac disorder characterized by left ventricular dysfunction in the presence of diabetes mellitus. With the rising global prevalence of diabetes, early detection and intervention are crucial to prevent transition to overt heart failure. Cardiac magnetic resonance (CMR) has emerged as a powerful non-invasive imaging modality, providing comprehensive insights into myocardial structure, function, and tissue characteristics. This review highlights the role of multiparametric CMR, including T1 mapping, late gadolinium enhancement, strain analysis, perfusion imaging, and spectroscopy, in identifying key pathological features of DbCM such as diffuse fibrosis, microvascular dysfunction, steatosis, and subclinical systolic/diastolic impairment. Furthermore, we discuss how these imaging biomarkers can stratify risk, monitor disease progression, and evaluate treatment efficacy, particularly in the context of comorbidities and emerging therapies such as sodium-glucose cotransporter-2 inhibitors and glucagon-like peptide-1 receptor agonists. Future directions include the integration of artificial intelligence for automated analysis and the development of molecular imaging probes for targeted detection of early disease pathways. CMR holds significant promise for translating advanced imaging biomarkers into clinical practice, enabling personalized management of DbCM.

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Publication Details

Journal
Cardiovascular Diabetology
Published
2025-12-04
DOI
https://doi.org/10.1186/s12933-025-03019-6
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
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article

Cardiac MRI in diabetic cardiomyopathy: translating imaging biomarkers into clinical practice

Hanrui Liu, Hildo J. Lamb, Lu Zhang, Jiang Li et al.
Cardiovascular Diabetology
Cardiac Imaging and Diagnostics
article

Cardiac MRI in diabetic cardiomyopathy: translating imaging biomarkers into clinical practice

Hanrui Liu, Hildo J. Lamb, Lu Zhang, Jiang Li, Xinyuan Zhang, Xueming Li, Zhigang Yang, Shan Huang, Ran Sun, Ke Shi, Yingkun Guo
article en

Abstract

Diabetic cardiomyopathy (DbCM) is a progressive cardiac disorder characterized by left ventricular dysfunction in the presence of diabetes mellitus. With the rising global prevalence of diabetes, early detection and intervention are crucial to prevent transition to overt heart failure. Cardiac magnetic resonance (CMR) has emerged as a powerful non-invasive imaging modality, providing comprehensive insights into myocardial structure, function, and tissue characteristics. This review highlights the role of multiparametric CMR, including T1 mapping, late gadolinium enhancement, strain analysis, perfusion imaging, and spectroscopy, in identifying key pathological features of DbCM such as diffuse fibrosis, microvascular dysfunction, steatosis, and subclinical systolic/diastolic impairment. Furthermore, we discuss how these imaging biomarkers can stratify risk, monitor disease progression, and evaluate treatment efficacy, particularly in the context of comorbidities and emerging therapies such as sodium-glucose cotransporter-2 inhibitors and glucagon-like peptide-1 receptor agonists. Future directions include the integration of artificial intelligence for automated analysis and the development of molecular imaging probes for targeted detection of early disease pathways. CMR holds significant promise for translating advanced imaging biomarkers into clinical practice, enabling personalized management of DbCM.

Cardiovascular DiabetologyVol. 25(1)
Sichuan University (CN), Leiden University Medical Center (NL), West China Second University Hospital of Sichuan University (CN), West China Hospital of Sichuan University (CN), Maternal and Child Health Hospital of Sichuan Province (CN)
Openalex Percentile: Top 47%
Cardiac Imaging and Diagnostics
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