ArticleScientific reports2023
Quantifying left ventricular myocardial strain in patients with different CAD-RADS levels based on computed tomography feature tracking technology.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 3 citations in OpenAlex.
- Advanced myocardial characterization and function with cardiac CT.The international journal of cardiovascular imaging · 2026Review
- Utility of Cardiac CT for Cardiomyopathy Phenotyping.Tomography (Ann Arbor, Mich.) · 2025Review
- Correlation between CT-derived fractional flow reserve and myocardial strain in ischemic heart disease patients with single coronary artery stenosis assessed based on CCTA.Frontiers in cardiovascular medicine · 2025Article
- sST2 levels and 3D speckle tracking as predictors of CAD severity in chronic coronary syndrome.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2024Article
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14 authors at 5 institutions in 2 countries.
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Abstract
To evaluate myocardial strain in patients with different coronary artery disease-reporting and data system (CAD-RADS) levels using the computed tomography (CT) feature tracking technology and to investigate the relationship of myocardial strain with coronary artery calcium scores (CACs) and the degree of coronary artery stenosis. We prospectively enrolled 237 consecutive patients to undergo coronary CT angiography. The participants were divided into the following groups: control (n = 87), CAD-RADS 1 (n = 43), CAD-RADS 2 (n = 43), CAD-RADS 3 (n = 38), and CAD-RADS 4 and above (n = 26). Myocardial strains were analyzed by commercial software, and CACs and coronary stenosis were assessed on post-processing stations. Differences between multiple groups were analyzed using one-way analysis of variance or the Kruskal-Wallis test. Logistic regression were used to analyze the effects of dichotomous variables. As the CAD-RADS level increased, the global circumferential strain (GCS), global longitudinal strain (GLS) and global radial strain (GRS) of the left ventricle based on CT gradually decreased. A significant correlation was observed between global myocardial strain and CACs (GRS: r = - 0.219, GCS: r = 0.189, GLS: r = 0.491; P < 0.05). The independent predictors of obstructive CAD were age (β = 0.065, odds ratio [OR] = 1.067, P = 0.005), left ventricular ejection fraction (β = 0.145, OR = 1.156, P = 0.047), and GLS (β = 0.232, OR = 1.261, P = 0.01). CT-derived GLS of the left ventricle is correlated with CAD-RADS levels and CACs. It may be a better indicator than CACs to reflect the severity of CAD.
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