Assessment of LV myocardial function in aortic stenosis using personalized 3D+ time cardiac MRI modelling

Document Type

Conference Item

Publication Date

1-1-2022

Abstract

Left ventricular hypertrophy (LVH) in aortic stenosis (AS) is known as an adaptive response affected by pressure overload as a result of the progressive narrowing of the aortic valve orifice. Both systolic and diastolic function of the left ventricular (LV) could be affected due to the structural remodelling as a sequel of AS. Therefore, this study utilized 3D+ time personalized LV modelling algorithm which was developed in-house to evaluate the LV function throughout the 20 cardiac phases of short- and long-axis cine MRI in different severity of AS patients. A total of 9 healthy cohorts and 13 AS patients with different degrees of severity were analyzed. This study demonstrated that majority of the AS patients have systolic dysfunction accompanied by deterioration of radial strain (RS) and longitudinal strain (LS) when compared against healthy cohorts (p < 0.05). Only those with concomitant concentric LVH (i.e. 38 of the AS patients) exhibited normal systolic and diastolic functions with a couple of exceptions observed. LVH was found developed in those with moderate and severe AS. No clear correlation was found between diastolic dysfunction and the severity of AS. © 2022, Springer Nature Switzerland AG.

Keywords

3D modeling, Blood vessels, Deterioration, Strain, Three dimensional computer graphics, Adaptive response, Aortic stenosis, Aortic valves, Cardiac model, Cardiac MRI, Diastolic function, Left ventricular, Left ventricular hypertrophies, Myocardial function, Pressure-overload, Diseases

Divisions

biomedengine,biomed,medicinedept

Funders

Universiti Malaya [Grant no. GPF053B-2020]

Publication Title

IFMBE Proceedings

Volume

86

Publisher

Springer Science and Business Media Deutschland GmbH

Event Title

6th Kuala Lumpur International Conference on Biomedical Engineering, BioMed 2021

Event Location

Virtual, Online

Event Dates

28-29 July 2021

Event Type

conference

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