ArticleScientific reports2019
Cardiac magnetic resonance feature tracking for quantifying right ventricular deformation in type 2 diabetes mellitus patients.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Assessment of right ventricular systolic function in patients with hypertrophic cardiomyopathy by layer-specific speckle tracking echocardiography.Quantitative imaging in medicine and surgery · 2026Article
- Suboptimal lipid management is associated with subclinical left ventricular dysfunction in type 2 diabetes mellitus patients with preserved ejection fraction: a cardiac magnetic resonance feature-tracking study.BMC cardiovascular disorders · 2026Article
- Comparison of right ventricular function and clinical outcomes in type 2 diabetes patients with and without obstructive coronary artery disease: insights from a CMR study.Cardiovascular diabetology · 2025Article
- Association between subclinical right ventricular alterations and aerobic exercise capacity in type 2 diabetes.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024Article
- Implications of uremic cardiomyopathy for the practicing clinician: an educational review.Heart failure reviews · 2023Review
- Feature tracking cardiac magnetic resonance imaging to assess cardiac manifestations of systemic diseases.Heart failure reviews · 2023Review
- Impact of glycemic control on biventricular function in patients with type 2 diabetes mellitus: a cardiac magnetic resonance tissue tracking study.Insights into imaging · 2023Article
- Impact of T2DM on right ventricular systolic dysfunction and interventricular interactions in patients with essential hypertension: evaluation using CMR tissue tracking.Cardiovascular diabetology · 2022Article
- Evaluation of right ventricular myocardial strain in pulmonary arterial hypertension associated with atrial septal defect by cardiac magnetic resonance feature tracking.The international journal of cardiovascular imaging · 2022Article
- Evaluation of right ventricular systolic and diastolic dysfunctions in patients with type 2 diabetes mellitus with poor glycemic control by layer specific global longitudinal strain and strain rate.Diabetology & metabolic syndrome · 2022Article
- Additive effect of aortic regurgitation degree on left ventricular strain in patients with type 2 diabetes mellitus evaluated via cardiac magnetic resonance tissue tracking.Cardiovascular diabetology · 2022Article
- Characterization and clinical significance of biventricular mechanics in patients with systemic lupus erythematosus by 3T cardiovascular magnetic resonance tissue tracking.Quantitative imaging in medicine and surgery · 2022Article
- Multi-Modality Imaging for Interventions in Tricuspid Valve Disease.Frontiers in cardiovascular medicine · 2021Review
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Authors and funding
17 authors.
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Abstract
To determine the feasibility of deformation analysis in the right ventricle (RV) using cardiovascular magnetic resonance myocardial feature tracking (CMR-FT) in type 2 diabetes mellitus (T2DM) patients. We enrolled 104 T2DM patients, including 14 with impaired right ventricular ejection fraction (RVEF) and 90 with preserved RVEF, and 26 healthy controls in this prospective study. CMR was used to determine RV feature-tracking parameters. RV strain parameters were compared among the controls, patients with preserved and reduced RVEF. Binary logistic regression was used to predict RV dysfunction. Receiver operating characteristic analysis was used to assess the diagnostic accuracy. The agreement was tested by Bland-Altman analysis. Compared with controls, longitudinal and circumferential global peak strain (PS) and PS at mid-ventricular, apical slices were significantly decreased in T2DM patients with or without reduced RVEF (p < 0.05). Within the T2DM patients, the global longitudinal PS (GLPS) and the longitudinal PS at mid-ventricular segments were significantly reduced in the reduced RVEF group than in preserved RVEF groups (p < 0.05). GLPS was an independent predictor of RV dysfunction (odds ratio: 1.246, 95% CI: 1.037-1.496; p = 0.019). The GLPS demonstrated greater diagnostic accuracy (area under curve: 0.716) to predict RV dysfunction. On Bland-Altman analysis, global circumferential PS and GLPS had the best intra- and inter-observer agreement, respectively. In T2DM patients, CMR-FT could quantify RV deformation and identify subclinical RV dysfunction in those with normal RVEF. Further, RV strain parameters are potential predictors for RV dysfunction in T2DM patients.
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