Cardiac magnetic resonance characteristics and risk factors of early ventricular aneurysm after emergency percutaneous coronary intervention in acute anterior myocardial infarction
Year: 2025
Type: article
Study design: Observational Study
Abstract: Objectives To investigate the cardiac magnetic resonance (CMR) features of early ventricular wall aneurysm formation in patients with acute anterior myocardial infarction. Methods One hundred and eight patients with acute anterior myocardial infarction who underwent primary percutaneous coronary intervention and completed CMR scans within two weeks were retrospectively analyzed and divided into non-ventricular aneurysm group ( n = 72) and ventricular aneurysm group ( n = 36) according to whether they formed early ventricular aneurysms after surgery. Finally, the obtained CMR images were imported into software for image analysis, and a logistic regression analysis model was established to obtain CMR parameters for the diagnosis of early ventricular wall tumour. Results Greater age and late gadolinium enhancement (LGE) and worse left heart function and myocardial strain in the ventricular wall aneurysm group than in the non-ventricular wall aneurysm group. LGE area (OR = 1.32, 95% CI: 1.071–1.628, P = 0.009), Apical angle (OR = 1.24, 95% CI: 1.041–1.475, P = 0.016), Septal mitral annular plane systolic excursion (Septal MAPSE, OR = 0.36, 95% CI: 0.169–0.757, P = 0.007) and Global longitudinal strain (GLS, OR = 0.53, 95% CI: 0.154–0.953, P = 0.046) were associated with early ventricular wall aneurysm formation. Finally, ROC curves were analyzed for the above four CMR parameters, and the AUC were obtained as 0.922, 0.921, 0.905, and 0.814; the optimal critical values were 28.5%, 90°, 8.245 mm, and 10.155%, respectively. Conclusions Estimation of LGE area, Apical angle, Septal MAPSE and GLS using CMR technique in combination with software can help diagnose early ventricular wall aneurysm formation in patients with acute anterior myocardial infarction.
Authors: Lilan Wang, Yuefeng Lin, Bin Wang, Zixuan Ru, Hong Qiao
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
Award: G5590885296
OpenAlex ID: W4416195675
