Finite element modelling of in-stent restenosis

12/05/2020
by   Kiran Manjunatha, et al.
0

From the perspective of coronary heart disease, the development of stents has come significantly far in reducing the associated mortality rate, drug-eluting stents being the epitome of innovative and effective solutions. Within this work, the intricate process of in-stent restenosis is modelled considering one of the significant growth factors and its effect on constituents of the arterial wall. A multiphysical modelling approach is adopted in this regard. Experimental investigations from the literature have been used to hypothesize the governing equations and the corresponding parameters. A staggered solution strategy is utilised to capture the transport phenomena as well as the growth and remodeling that follows stent implantation. The model herein developed serves as a tool to predict in-stent restenosis depending on the endothelial injury sustained and the protuberance of stents into the lumen of the arteries. Keywords: in-stent restenosis, smooth mucsle cells, platelet-derived growth factor, extracellular matrix, growth

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/05/2022

A multiphysics modeling approach for in-stent restenosis: Theoretical aspects and finite element implementation

Development of in silico models are intrinsic in understanding disease p...
research
08/03/2021

Numerical analysis for a Cahn-Hilliard system modelling tumour growth with chemotaxis and active transport

In this work, we consider a diffuse interface model for tumour growth in...
research
07/24/2023

Computational modeling of in-stent restenosis: Pharmacokinetic and pharmacodynamic evaluation

Persistence of the pathology of in-stent restenosis even with the advent...
research
03/03/2021

Numerical Simulations of Frost Growth Using Mixture Model on Surfaces with Different Wettability

Frost growth on cold surfaces is a transient process with coupled heat a...
research
01/29/2021

Error estimates for the Smagorinsky turbulence model: enhanced stability through scale separation and numerical stabilization

In the present work we show some results on the effect of the Smagorinsk...
research
04/22/2023

Biomimetic IGA neuron growth modeling with neurite morphometric features and CNN-based prediction

Neuron growth is a complex, multi-stage process that develops sophistica...

Please sign up or login with your details

Forgot password? Click here to reset