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Drug delivery patterns for different stenting techniques in coronary bifurcations: a comparative computational study
Elena Cutrì1, Paolo Zunino, Stefano Morlacchi
1Department of Mathematics, Modelling and Scientific Computing (MOX), Politecnico di Milano, Milan, Italy.
Insights
This study uses computational modeling to assess drug-eluting stent (DES) effectiveness in coronary artery bifurcation lesions. It compares different stenting techniques to optimize treatment and improve drug delivery, reducing restenosis risks.
Area of Science:
- Cardiovascular Medicine
- Biomedical Engineering
- Computational Fluid Dynamics
Background:
- Coronary bifurcation lesions pose treatment challenges with high restenosis rates.
- Drug-eluting stents (DES) have significantly reduced restenosis and re-intervention needs.
Purpose of the Study:
- To computationally evaluate DES effectiveness in coronary artery bifurcations.
- To compare different stenting protocols for optimal treatment and drug delivery.
Main Methods:
- Developed an explicit dynamic finite element model for virtual stent implantation.
- Integrated fluid dynamics and multiscale drug release modeling.
- Analyzed blood flow, plasma filtration, and drug transport to the artery wall.
Main Results:
- Compared drug delivery efficacy across Provisional Side Branch, Culotte, and Inverted Culotte techniques.
- Evaluated the impact of incomplete stent apposition and overlapping stents on drug dosage.
- Identified differences in local drug delivery based on stenting configurations.
Conclusions:
- Computational modeling provides insights into DES effectiveness for bifurcation lesions.
- Results suggest guidelines for optimizing stenting techniques and drug delivery.
- Addressed clinical issues concerning side branch drug delivery and stent deployment variations.
Abstract:
The treatment of coronary bifurcation lesions represents a challenge for the interventional cardiologists due to the lower rate of procedural success and the higher risk of restenosis. The advent of drug-eluting stents (DES) has dramatically reduced restenosis and consequently the request for re-intervention. The aim of the present work is to provide further insight about the effectiveness of DES by means of a computational study that combines virtual stent implantation, fluid dynamics and drug release for different stenting protocols currently used in the treatment of a coronary artery bifurcation. An explicit dynamic finite element model is developed in order to obtain realistic configurations of the implanted devices used to perform fluid dynamics analysis by means of a previously developed finite element method coupling the blood flow and the intramural plasma filtration in rigid arteries. To efficiently model the drug release, a multiscale strategy is adopted, ranging from lumped parameter model accounting for drug release to fully 3-D models for drug transport to the artery. Differences in drug delivery to the artery are evaluated with respect to local drug dosage. This model allowed to compare alternative stenting configurations (namely the Provisional Side Branch, the Culotte and the Inverted Culotte techniques), thus suggesting guidelines in the treatment of coronary bifurcation lesions and addressing clinical issues such as the effectiveness of drug delivery to lesions in the side branch, as well as the influence of incomplete strut apposition and overlapping stents.
