Computational Fluid Dynamics Modeling of Proximal Landing Zones for Thoracic Endovascular Aortic Repair in the Bovine Arch Variant.


Journal

Annals of vascular surgery
ISSN: 1615-5947
Titre abrégé: Ann Vasc Surg
Pays: Netherlands
ID NLM: 8703941

Informations de publication

Date de publication:
Nov 2020
Historique:
received: 26 03 2020
revised: 17 04 2020
accepted: 08 05 2020
pubmed: 2 6 2020
medline: 1 12 2020
entrez: 2 6 2020
Statut: ppublish

Résumé

To assess the endograft displacement forces (DF), which quantify the forces exerted by the pulsatile blood flow on the vessel wall and transmitted on the terminal fixation site of the endograft after its deployment in proximal landing zones (PLZs) of the bovine aortic arch variant. Thirty healthy aortic computed tomographic angiographies of subjects with bovine arch configuration (10 per type of arch, I-III) were selected for the purpose of the study. A 3-dimensional model of the aortic arch lumen was reconstructed. Computational fluid dynamics modeling was then used to compute DF magnitude and orientation (i.e., x, y, and z axes) in PLZs of each case. DF values were normalized to the corresponding aortic wall area to estimate equivalent surface traction (EST). DF were highest in zone 0, consistently with the greater surface area. DF in zone 3 were much greater than in zone 2 because of a 3-fold greater upward component (z axis) (P < 0.001), being therefore mainly oriented orthogonally to the aortic blood flow and to the vessel longitudinal axis in that zone. EST progressively increased from zone 0 toward more distal PLZs, with EST in zone 3 being much greater than that in zone 2 (P < 0.001). The same pattern was observed after stratification by type of arch. The bovine arch is associated with a consistent fluid dynamic pattern, which identifies in zone 3 an unfavorable biomechanical environment for endograft deployment.

Sections du résumé

BACKGROUND BACKGROUND
To assess the endograft displacement forces (DF), which quantify the forces exerted by the pulsatile blood flow on the vessel wall and transmitted on the terminal fixation site of the endograft after its deployment in proximal landing zones (PLZs) of the bovine aortic arch variant.
METHODS METHODS
Thirty healthy aortic computed tomographic angiographies of subjects with bovine arch configuration (10 per type of arch, I-III) were selected for the purpose of the study. A 3-dimensional model of the aortic arch lumen was reconstructed. Computational fluid dynamics modeling was then used to compute DF magnitude and orientation (i.e., x, y, and z axes) in PLZs of each case. DF values were normalized to the corresponding aortic wall area to estimate equivalent surface traction (EST).
RESULTS RESULTS
DF were highest in zone 0, consistently with the greater surface area. DF in zone 3 were much greater than in zone 2 because of a 3-fold greater upward component (z axis) (P < 0.001), being therefore mainly oriented orthogonally to the aortic blood flow and to the vessel longitudinal axis in that zone. EST progressively increased from zone 0 toward more distal PLZs, with EST in zone 3 being much greater than that in zone 2 (P < 0.001). The same pattern was observed after stratification by type of arch.
CONCLUSIONS CONCLUSIONS
The bovine arch is associated with a consistent fluid dynamic pattern, which identifies in zone 3 an unfavorable biomechanical environment for endograft deployment.

Identifiants

pubmed: 32479874
pii: S0890-5096(20)30431-3
doi: 10.1016/j.avsg.2020.05.024
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

413-417

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Massimiliano M Marrocco-Trischitta (MM)

Cardiovascular Department, Clinical Research Unit, IRCCS - Policlinico San Donato, Milan, Italy; Cardiovascular Department, Vascular Surgery Unit, IRCCS - Policlinico San Donato, Milan, Italy. Electronic address: massimiliano.marroccotrischitta@grupposandonato.it.

Rodrigo M Romarowski (RM)

3D and Computer Simulation Laboratory, IRCCS - Policlinico San Donato, Milan, Italy.

Moad Alaidroos (M)

Cardiovascular Department, Clinical Research Unit, IRCCS - Policlinico San Donato, Milan, Italy.

Francesco Sturla (F)

3D and Computer Simulation Laboratory, IRCCS - Policlinico San Donato, Milan, Italy.

Mattia Glauber (M)

Minimally Invasive Cardiac Surgery Unit, Istituto Clinico Sant'Ambrogio, Milan, Italy.

Giovanni Nano (G)

Cardiovascular Department, Vascular Surgery Unit, IRCCS - Policlinico San Donato, Milan, Italy; Department of Scienze Biomediche per la Salute, University of Milan, Milan, Italy.

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Classifications MeSH