Computational Modeling for Aortic Root Replacement
This review explores the impact of computational modeling on aortic root replacement—a complex and invasive procedure often performed alongside other aortic interventions—by examining two key scenarios. The first scenario involves using computational modeling to predict patient-specific outcomes for additional structural interventions following aortic root replacement, enhancing the likelihood of successful outcomes. The second scenario focuses on simulating and planning aortic root replacements performed in conjunction with aortic valve repair. By simulating various surgical techniques, these models optimize procedure effectiveness, safety, and the repeatability of high-quality clinical outcomes.
Authors
- Aaron Clark (ORCID: https://orcid.org/0000-0002-5974-1634)
- Lakshmi Prasad Dasi (ORCID: https://orcid.org/0000-0003-3776-0073)
- William T. Brinkman (ORCID: https://orcid.org/0000-0002-6376-9285)
- S. Chris Malaisrie (ORCID: https://orcid.org/0000-0002-0704-0334)
- Taylor Becker
Institutions
- Northwestern University (US)
- Georgia Institute of Technology (US)
- Emory University (US)
- Baylor Medical Center at Garland (US)
- Heart Hospital Baylor Plano (US)
- The Ohio State University (US)
Publication Details
- Journal
- Journal of the Heart Valve Society
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1177/30494826241312422
- Primary Topic
- Cardiac Valve Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00