Patient-specific coronary angioplasty simulations - A mixed-dimensional finite element modeling approach

Area of Science:

• Cardiovascular Engineering
• Biomedical Simulation
• Computational Mechanics

Background:

• Coronary angioplasty with stent implantation is a primary treatment for coronary artery disease.
• In-stent restenosis, or reocclusion within a stent, affects up to 10% of patients.
• Mechanical forces on vessel walls are known to influence tissue remodeling, but their specific role in restenosis risk is not fully understood.

Purpose of the Study:

• To develop a computationally efficient mixed-dimensional model for simulating patient-specific coronary stenting procedures.
• To investigate the mechanical effects of coronary interventions on artery walls.
• To correlate simulated mechanical stresses with potential high-risk locations for in-stent restenosis.

Main Methods:

• Development of a mixed-dimensional computational framework combining a reduced-dimensional beam model for the stent and 3D models for the artery.
• Application of the model to simulate patient-specific stenting procedures.
• Analysis of local stresses within the artery wall during and after stent implantation.

Main Results:

• The developed model enables realistic simulations of coronary stenting with reduced computational cost.
• High artery wall stresses were observed in severely stenosed regions and at the boundaries of the implanted stent.
• These high-stress areas correlate with potential locations for the development of in-stent restenosis.

Conclusions:

• The study presents a novel computational approach for simulating coronary stenting.
• Findings highlight the significant mechanical impact of interventions on artery walls, especially in diseased segments.
• This work provides a foundation for future research aimed at preventing in-stent restenosis by considering procedural mechanics.