Wall Shear Stress Topological Skeleton Independently Predicts Long-Term Restenosis After Carotid Bifurcation Endarterectomy.
Computational fluid dynamics
Fixed points
Intima-media thickness
Manifolds
Wall shear stress divergence
Journal
Annals of biomedical engineering
ISSN: 1573-9686
Titre abrégé: Ann Biomed Eng
Pays: United States
ID NLM: 0361512
Informations de publication
Date de publication:
Dec 2020
Dec 2020
Historique:
received:
02
06
2020
accepted:
02
09
2020
pubmed:
16
9
2020
medline:
4
9
2021
entrez:
15
9
2020
Statut:
ppublish
Résumé
Wall Shear Stress (WSS) topological skeleton, composed by fixed points and the manifolds linking them, reflects the presence of blood flow features associated to adverse vascular response. However, the influence of WSS topological skeleton on vascular pathophysiology is still underexplored. This study aimed to identify direct associations between the WSS topological skeleton and markers of vascular disease from real-world clinical longitudinal data of long-term restenosis after carotid endarterectomy (CEA). Personalized computational hemodynamic simulations were performed on a cohort of 13 carotid models pre-CEA and at 1 month after CEA. At 60 months after CEA, intima-media thickness (IMT) was measured to detect long-term restenosis. The analysis of the WSS topological skeleton was carried out by applying a Eulerian method based on the WSS vector field divergence. To provide objective thresholds for WSS topological skeleton quantitative analysis, a computational hemodynamic dataset of 46 ostensibly healthy carotid bifurcation models was considered. CEA interventions did not completely restore physiological WSS topological skeleton features. Significant associations emerged between IMT at 60 months follow-up and the exposure to (1) high temporal variation of WSS contraction/expansion (R
Identifiants
pubmed: 32929560
doi: 10.1007/s10439-020-02607-9
pii: 10.1007/s10439-020-02607-9
pmc: PMC7723943
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2936-2949Subventions
Organisme : Horizon 2020 Framework Programme
ID : 765374
Organisme : Ministero dell'Istruzione, dell'Università e della Ricerca
ID : 2017AXL54F
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