Faza NN, Harb SC, Wang DD, van den Dorpel MMP, Van Mieghem N, Little SH. Physical and Computational Modeling for Transcatheter Structural Heart Interventions.
JACC Cardiovasc Imaging 2024;
17:428-440. [PMID:
38569793 DOI:
10.1016/j.jcmg.2024.01.014]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 01/10/2024] [Accepted: 01/11/2024] [Indexed: 04/05/2024]
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.
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