Validation evidence with experimental and clinical data to establish credibility of TAVI patient-specific simulations.

Finite element method Patient-specific simulations TAVI Validation

Journal

Computers in biology and medicine
ISSN: 1879-0534
Titre abrégé: Comput Biol Med
Pays: United States
ID NLM: 1250250

Informations de publication

Date de publication:
19 Sep 2024
Historique:
received: 13 06 2024
revised: 30 08 2024
accepted: 13 09 2024
medline: 21 9 2024
pubmed: 21 9 2024
entrez: 20 9 2024
Statut: aheadofprint

Résumé

The objective of this study is to validate a novel workflow for implementing patient-specific finite element (FE) simulations to virtually replicate the Transcatheter Aortic Valve Implantation (TAVI) procedure. Seven patients undergoing TAVI were enrolled. Patient-specific anatomical models were reconstructed from pre-operative computed tomography (CT) scans and subsequentially discretized, considering the native aortic leaflets and calcifications. Moreover, high-fidelity models of CoreValve Evolut R and Acurate Neo2 valves were built. To determine the most suitable material properties for the two stents, an accurate calibration process was undertaken. This involved conducting crimping simulations and fine-tuning Nitinol parameters to fit experimental force-diameter curves. Subsequently, FE simulations of TAVI procedures were conducted. To validate the reliability of the implemented implantation simulations, qualitative and quantitative comparisons with post-operative clinical data, such as angiographies and CT scans, were performed. For both devices, the simulation curves closely matched the experimental data, indicating successful validation of the valves mechanical behaviour. An accurate qualitative superimposition with both angiographies and CTs was evident, proving the reliability of the simulated implantation. Furthermore, a mean percentage difference of 1,79 ± 0,93 % and 3,67 ± 2,73 % between the simulated and segmented final configurations of the stents was calculated in terms of orifice area and eccentricity, respectively. This study shows the successful validation of TAVI simulations in patient-specific anatomies, offering a valuable tool to optimize patients care through personalized pre-operative planning. A systematic approach for the validation is presented, laying the groundwork for enhanced predictive modeling in clinical practice.

Identifiants

pubmed: 39303394
pii: S0010-4825(24)01244-7
doi: 10.1016/j.compbiomed.2024.109159
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

109159

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Benedetta Grossi (B)

Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy; Department of Chemistry, Materials and Chemical Engineering, Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milan, Italy.

Sara Barati (S)

Department of Chemistry, Materials and Chemical Engineering, Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milan, Italy.

Anna Ramella (A)

Department of Chemistry, Materials and Chemical Engineering, Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milan, Italy.

Francesco Migliavacca (F)

Department of Chemistry, Materials and Chemical Engineering, Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milan, Italy.

Jose Felix Rodriguez Matas (JF)

Department of Chemistry, Materials and Chemical Engineering, Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milan, Italy.

Gabriele Dubini (G)

Department of Chemistry, Materials and Chemical Engineering, Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milan, Italy.

Nabil Chakfé (N)

Department of Vascular Surgery, Kidney Transplantation and Innovation, University Hospital of Strasbourg, Strasbourg, France; GEPROMED, Strasbourg, France.

Frédéric Heim (F)

GEPROMED, Strasbourg, France; Laboratoire de Physique et Mecanique des Textiles, Universite' de Haute-Alsace, Mulhouse, France.

Ottavia Cozzi (O)

Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy; IRCCS Humanitas Research Hospital, Via Alessandro Manzoni 56, 20089, Rozzano, Milan, Italy.

Gianluigi Condorelli (G)

Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy; IRCCS Humanitas Research Hospital, Via Alessandro Manzoni 56, 20089, Rozzano, Milan, Italy.

Giulio G Stefanini (GG)

Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy; IRCCS Humanitas Research Hospital, Via Alessandro Manzoni 56, 20089, Rozzano, Milan, Italy.

Giulia Luraghi (G)

Department of Chemistry, Materials and Chemical Engineering, Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milan, Italy. Electronic address: giulia.luraghi@polimi.it.

Classifications MeSH