ABSTRACT Accurate geometrical representation of stenosis is essential for stent design, surgical planning, and computational fluid dynamics (CFD) simulations, as even minor shape variations significantly alter hemodynamic predictions. This review systematically compiles and classifies the diverse stenosis geometries proposed in prior studies, creating a foundational reference for researchers. We catalog models ranging from idealized analytical shapes (e.g., axisymmetric cosine, Gaussian, and asymmetric profiles), patient‐specific reconstructions to parametric frameworks, highlighting their mathematical formulations, hemodynamic implications, and clinical applications. By consolidating these geometries, this article enables researchers to: (1) identify the most suitable existing model for their specific study, (2) understand inconsistencies in results across studies due to geometrical differences, and (3) develop new models informed by prior morphological variations. Crucially, we emphasize how stenosis geometry governs key hemodynamic parameters such as wall shear stress and pressure gradients and influences stent performance, underscoring why shape selection cannot be overlooked. This structured classification is intended to guide model selection and study design by aligning geometric fidelity with specific research objectives and practical constraints, rather than to imply predictive accuracy or clinical superiority.
Nazari et al. (Sun,) studied this question.