Work

Computational Modeling for Aortic Root Replacement

Year: 2025

Type: article

Abstract: 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.

Source: Journal of the Heart Valve Society

DOI: 10.1177/30494826241312422

Authors: Taylor Becker, Aaron Clark, William T. Brinkman, S. Christopher Malaisrie, Lakshmi P. Dasi

Institutions: The Ohio State University, Northwestern University, Heart Hospital Baylor Plano, Georgia Institute of Technology, Emory University

Language: English

Topic: Aortic Disease and Treatment Approaches

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4408826539

FWCI: 1.215

Cites: 57

Cited by: 2

Related to: 10