Key result
Topological WSS divergence identifies vulnerable arterial regions more locally than multidirectional WSS parameters.
Why the study?
Recent studies have focused on multidirectional wall shear stress parameters to identify regions prone to atherosclerosis, but comparatively little attention has been given to topological hemodynamic features.
Topological hemodynamic features, specifically WSS divergence, can identify atherosclerosis-prone regions in coronary arteries with greater precision and localization than traditional multidirectional wall shear stress parameters.
To date, researchers in the field of biomechanics have used various wall shear stress-based parameters to analyse hemodynamics to improve the medical understanding of atherosclerosis. In this paper, we aim to provide a comprehensive comparison between commonly used multidirectional and topological skeleton variables for a complex, patient-specific model of the right coronary artery (RCA) via a two-phase fluid-structure interaction (FSI) technique. To better replicate the real physiological conditions, a two-phase blood flow, comprising plasma and red blood cells, is considered. Additionally, a hyperelastic behaviour is defined for the RCA structure to represent the mechanical properties of human coronary arteries. Boundary conditions, including the velocity of blood components at the inlet and arterial wall motion, are configured based on in vivo data available in the literature. To identify regions prone to atherosclerosis and assess arterial vulnerability, recent studies have primarily focused on multidirectional wall shear stress (WSS) parameters. However, comparatively little attention has been given to topological hemodynamic features. In this work, we first derived the time averaged wall shear stress (TAWSS) and oscillatory shear index (OSI) as representatives of the multidirectional WSS, and WSS divergence and fixed points as representatives of the topological hemodynamics, and analysed them to evaluate arterial vulnerability. Among the main findings, this study shows that although both multidirectional and topology-skeleton metrics co-localise vulnerable regions of the artery, WSS divergence, as a topology-skeleton index, identifies these areas in a fragmented and localised manner. This represents a step toward defining more precise vulnerable zones in the cardiovascular system and predicting high-risk regions with greater accuracy. • A patient-specific fluid-structure interaction (FSI) model of the right coronary artery (RCA) is developed, incorporating red blood cells and plasma. • Both multidirectional and topological-skeleton hemodynamic analyses are performed, and their similarities and differences are highlighted from the perspective of the arterial vulnerability and plaque initiation. • While both the multidirectional and topology-skeleton metrics co-localise vulnerable arterial regions, WSS divergence, as a topology-skeleton index, highlights these areas in a more fragmented and highly localised pattern.
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Jouneghani et al. (2026) studied Atherosclerosis. Topological skeleton variables (WSS divergence and fixed points) vs. Multidirectional wall shear stress variables (TAWSS and OSI) was evaluated on Identification of regions prone to atherosclerosis (arterial vulnerability). Topological-skeleton metrics, specifically WSS divergence, identified vulnerable arterial regions in a more fragmented and highly localised pattern compared to multidirectional WSS parameters.
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