Chuah, Shoon Hui and Md Sari, Nor Ashikin and Tan, Li Kuo and Chiam, Yin Kia and Chan, Bee Ting and Abdul Aziz, Yang Faridah and Jeyabalan, Jeyaraaj and Hasikin, Khairunnisa and Liew, Yih Miin (2023) Assessing complex left ventricular adaptations in aortic stenosis using personalized 3D+time cardiac MRI modeling. Journal of Cardiovascular Translational Research, 16 (5). pp. 1110-1122. ISSN 1937-5387, DOI https://doi.org/10.1007/s12265-023-10375-9.
Full text not available from this repository.Abstract
Left ventricular adaptations can be a complex process under the influence of aortic stenosis (AS) and comorbidities. This study proposed and assessed the feasibility of using a motion-corrected personalized 3D + time LV modeling technique to evaluate the adaptive and maladaptive LV response to aid treatment decision-making. A total of 22 AS patients were analyzed and compared against 10 healthy subjects. The 3D + time analysis showed a highly distinct and personalized pattern of remodeling in individual AS patients which is associated with comorbidities and fibrosis. Patients with AS alone showed better wall thickening and synchrony than those comorbid with hypertension. Ischemic heart disease in AS caused impaired wall thickening and synchrony and systolic function. Apart from showing significant correlations to echocardiography and clinical MRI measurements (r: 0.70-0.95; p < 0.01), the proposed technique helped in detecting subclinical and subtle LV dysfunction, providing a better approach to evaluate AS patients for specific treatment, surgical planning, and follow-up recovery.
| Item Type: | Article |
|---|---|
| Funders: | FOSE, University Malaya Medical Centre, Universiti Malaya [Grant no. GPF053B-2020, PV005-2022], University of Nottingham Malaysia Campus |
| Uncontrolled Keywords: | Aortic stenosis; Comorbidities; Left ventricle adaptation; LV remodeling; 3D+time models; MRI |
| Subjects: | R Medicine T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Software Engineering Faculty of Engineering > Department of Biomedical Engineering Faculty of Medicine > Medicine Department |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 24 Oct 2025 08:39 |
| Last Modified: | 24 Oct 2025 08:39 |
| URI: | http://eprints.um.edu.my/id/eprint/48321 |
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