Physical and Computational Modeling for Transcatheter Structural Heart Interventions

Document Type

Article

Publication Date

4-1-2024

Publication Title

JACC Cardiovasc Imaging

Keywords

Humans, Predictive Value of Tests, Cardiac Surgical Procedures, Computer Simulation, Heart Diseases, Software, Printing, Three-Dimensional

Abstract

Structural heart disease interventions rely heavily on preprocedural planning and simulation to improve procedural outcomes and predict and prevent potential procedural complications. Modeling technologies, namely 3-dimensional (3D) printing and computational modeling, are nowadays increasingly used to predict the interaction between cardiac anatomy and implantable devices. Such models play a role in patient education, operator training, procedural simulation, and appropriate device selection. However, current modeling is often limited by the replication of a single static configuration within a dynamic cardiac cycle. Recognizing that health systems may face technical and economic limitations to the creation of "in-house" 3D-printed models, structural heart teams are pivoting to the use of computational software for modeling purposes.

Medical Subject Headings

Humans; Predictive Value of Tests; Cardiac Surgical Procedures; Computer Simulation; Heart Diseases; Software; Printing, Three-Dimensional

PubMed ID

38569793

Volume

17

Issue

4

First Page

428

Last Page

440

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