Evidence map›Paper›PMID 41081164›Full record

ArticleQuantitative imaging in medicine and surgery2025

Additive effect of coronary artery stenosis on left ventricular myocardial strain in patients with essential hypertension: an analysis of cardiac MRI feature tracking.

Wei-Feng Yan, Ling-Yi Wen, Zhi-Gang Yang, Rong Xu, Yi-Ning Jiang, Shi-Qin Yu, Ge Zhang, Jin Wang, Yuan Li

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Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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9 authors.

Wei-Feng YanDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Ling-Yi WenDepartment of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China.
Zhi-Gang YangDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Rong XuDepartment of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China.
Yi-Ning JiangDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Shi-Qin YuDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Ge ZhangDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Jin WangDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Yuan LiDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypertension is a major cause of adverse left ventricular (LV) remodeling, and co-existing coronary artery stenosis (CAS) may further compromise myocardial function. This study aimed to evaluate the effect of CAS on LV myocardial strain in patients with essential hypertension (EH) using cardiac magnetic resonance imaging (MRI). Methods: A retrospective analysis was conducted of 173 EH patients [126 with CAS (CAS+) and 47 without CAS (CAS-)] and 52 controls. LV global radial peak strain (GRPS), global circumferential peak strain (GCPS), global longitudinal peak strain (GLPS), and the peak strain rates were evaluated using feature-tracking technology, and compared among the different stenosis severity groups and controls. Spearman correlation and multivariate linear regression analyses were performed to assess the relationship between CAS, as determined by invasive coronary angiography, and the LV myocardial strain parameters evaluated using cardiac MRI. Results: The EH-CAS+ patients had significantly reduced ejection fraction and higher myocardial mass compared to the EH-CAS- patients and the controls. GCPS and GLPS decreased progressively from the control group to the EH-CAS- group and further to the EH-CAS+ group (all P<0.05). The patients with obstructive coronary artery stenosis (OCAS; luminal stenosis ≥50%) showed significantly reduced LV global peak strain values in all directions compared to those with nonobstructive coronary artery stenosis (NOCAS; luminal stenosis <50%). OCAS was identified as an independent risk factor for the further reduction of myocardial strain in the EH patients (β=-0.170 to -0.251, P<0.05). Significant correlations were found between the Gensini scores and LV strain parameters in the EH patients with OCAS (r=-0.269 to -0.533, P<0.05). The multivariable regression analysis identified the Gensini score as an independent predictor of GRPS (β=-0.327, P<0.01), GCPS (β=-0.365, P<0.05), and GLPS (β=-0.310, P<0.01) in the EH patients. Conclusions: CAS significantly increases myocardial hypertrophy in EH patients, and OCAS further exacerbates LV dysfunction in these patients. The Gensini score is an independent predictor of LV global peak strain in patients with EH.

Indexed as

coronary artery stenosis (CAS)Gensini scoreHypertensionmagnetic resonance imagingmyocardial strain

Identifiers

PMID41081164
PMCPMC12514610

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