CRT 2020: Computational Prediction Of Drug-eluting Stent Performance In Patient-specific Arteries – A Virtual Reality

Abraham R.Tzafriri, Farhad Rikhtegar Nezami, Elazer R.Edelman. ‘Computational Prediction Of Drug-eluting Stent Performance In Patient-specific Arteries – A Virtual Reality.’ Poster presentation at: CRT 2020, Feb 22-25; National Harbor, MD.

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Summary: Computational modeling is revolutionizing device design and evaluation. While great progress has been made in virtual stent angioplasty and computational hemodynamics, drug-delivery modeling in patient-specific geometries remains a challenge owing to its inherently-dynamic nature.

We developed a drug-delivery computational module for an everolimus-eluting stent with proximal and distal strut-level malapposition.

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Conclusion: Efficient computational modeling of angioplasty, hemodynamics and drug delivery in patient-specific geometries paves the way for predicting clinical performance during preclinical development. As we work towards enhanced realism, validation, and computational efficiency, we must also discuss with the regulatory science community the confidence-building framework for this virtual clinical approach.

JACC: Cardiovascular Interventions, Volume 13, Issue 4, Supplement, 24 February 2020, Pages S43-S44.


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