Background: Coronary artery ectasias and aneurysms (CAE/CAAs) are among the less common forms of coronary artery disease, with undefined long-term outcomes and treatment strategies.
Aims: To assess the clinical characteristics, angiographic patterns, and long-term outcomes in patients with CAE, CAA, or both.
Methods: This 15-year (2006-2021) retrospective single-centre registry included 281 patients diagnosed with CAE/CAA via invasive coronary angiography.
In-stent restenosis represents a major cause of failure of percutaneous coronary intervention with drug-eluting stent implantation. Computational multiscale models have recently emerged as powerful tools for investigating the mechanobiological mechanisms underlying vascular adaptation processes during in-stent restenosis. However, to date, the interplay between intervention-induced inflammation, drug delivery and drug retention has been under-investigated.
View Article and Find Full Text PDFThe prediction of neointimal hyperplasia (NIH) growth, leading to vein graft failure in lower-limb peripheral arterial disease (PAD), is hindered by the multifactorial and multiscale mechanobiological mechanisms underlying the vascular remodelling process. Multiscale in silico models, linking patients' hemodynamics to NIH pathobiological mechanisms, can serve as a clinical support tool to monitor disease progression. Here, we propose a new computational pipeline for simulating NIH growth, carefully balancing model complexity/inclusion of mechanisms and readily available clinical data, and we use it to predict NIH growth for an entire vein graft.
View Article and Find Full Text PDFBackground And Objectives: Vascular stents are scaffolding structures implanted in the vessels of patients with obstructive disease. Stents are typically designed as cylindrical lattice structures characterized by the periodic repetition of unit cells. Their design, including geometry and material characteristics, influences their mechanical performance and, consequently, the clinical outcomes.
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