A fast in silico model for preoperative risk assessment of paravalvular leakage
Rattachement africain : nl, de. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
In silico simulations can be used to evaluate and optimize the safety, quality, efficacy and applicability of medical devices. Furthermore, in silico modeling is a powerful tool in therapy planning to optimally tailor treatment for each patient. For this purpose, a workflow to perform fast preoperative risk assessment of paravalvular leakage (PVL) after transcatheter aortic valve replacement (TAVR) is presented in this paper. To this end, a novel, efficient method is introduced to calculate the regurgitant volume in a simplified, but sufficiently accurate manner. A proof of concept of the method is obtained by comparison of the calculated results with results obtained from in vitro experiments. Furthermore, computational fluid dynamics (CFD) simulations are used to validate more complex stenosis scenarios. Comparing the simplified leakage model to CFD simulations reveals its potential for procedure planning and qualitative preoperative risk assessment of PVL. Finally, a 3D device deployment model and the efficient leakage model are combined to showcase the application of the presented leakage model, by studying the effect of stent size and the degree of stenosis on the regurgitant volume. The presented leakage model is also used to visualize the leakage path. To generalize the leakage model to a wide range of clinical applications, further validation on a large cohort of patients is needed to validate the accuracy of the model's prediction under various patient-specific conditions.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- A fast in silico model for preoperative risk assessment of paravalvular leakage
- Date Crossref
- 11/02/2024
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
-
NXP (Netherlands) pays non établi dans la noticeEntreprise
-
Philips (Netherlands) pays non établi dans la noticeEntreprise
-
Institute for ImplantTechnology and Biomaterials pays non établi dans la noticeStructure de recherche
-
Eindhoven University of Technology pays non établi dans la noticeUniversité ou école supérieure
-
Philips Innovation and Strategy pays non établi dans la noticeInstitution
-
Institute for Implant Technology and Biomaterials e.V. pays non établi dans la noticeStructure de recherche
NXP (Netherlands), Philips (Netherlands) et Institute for ImplantTechnology and Biomaterials, avec 3 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.