Background: Due to the limited number of experimental studies that mechanically
characterise human atherosclerotic plaque tissue from the femoral arteries, a recent
trend has emerged in current literature whereby one set of material data based on
aortic plaque tissue is employed to numerically represent diseased femoral artery
tissue. This study aims to generate novel vessel-appropriate material models for
femoral plaque tissue and assess the influence of using material models based on
experimental data generated from aortic plaque testing to represent diseased
femoral arterial tissue.
Methods: Novel material models based on experimental data generated from
testing of atherosclerotic femoral artery tissue are developed and a computational
analysis of the revascularisation of a quarter model idealised diseased femoral artery
from a 90% diameter stenosis to a 10% diameter stenosis is performed using these
novel material models. The simulation is also performed using material models based
on experimental data obtained from aortic plaque testing in order to examine the
effect of employing vessel appropriate material models versus those currently
employed in literature to represent femoral plaque tissue.
Results: Simulations that employ material models based on atherosclerotic aortic
tissue exhibit much higher maximum principal stresses within the plaque than
simulations that employ material models based on atherosclerotic femoral tissue.
Specifically, employing a material model based on calcified aortic tissue, instead of
one based on heavily calcified femoral tissue, to represent diseased femoral arterial
vessels results in a 487 fold increase in maximum principal stress within the plaque
at a depth of 0.8 mm from the lumen.
Conclusions: Large differences are induced on numerical results as a consequence
of employing material models based on aortic plaque, in place of material models
based on femoral plaque, to represent a diseased femoral vessel. Due to these large
discrepancies, future studies should seek to employ vessel-appropriate material
models to simulate the response of diseased femoral tissue in order to obtain the
most accurate numerical results.
Funding
Using the Cloud to Streamline the Development of Mobile Phone Apps