Impact of Thoracic Endografting on the Hemodynamics of the Native Aorta: Pre- and Postoperative Assessments of Wall Shear Stress and Vorticity Using Computational Fluid Dynamics.

computational fluid dynamics endograft hemodynamics stent-graft thoracic aorta thoracic endovascular aortic repair vorticity wall shear stress

Journal

Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists
ISSN: 1545-1550
Titre abrégé: J Endovasc Ther
Pays: United States
ID NLM: 100896915

Informations de publication

Date de publication:
Feb 2021
Historique:
pubmed: 8 10 2020
medline: 21 5 2021
entrez: 7 10 2020
Statut: ppublish

Résumé

To quantify the hemodynamic consequences of thoracic endovascular aortic repair (TEVAR) by comparing the preoperative and postoperative wall shear stress (WSS) and vorticity profiles on computational fluid dynamics (CFD) simulations. The pre- and postoperative computed tomography (CT) scans from 20 consecutive patients (median age 69 years, range 20-87) treated for different thoracic aortic pathologies (11 aneurysms, 5 false aneurysms, 3 penetrating ulcers, and 1 traumatic aortic rupture) were segmented to construct patient-specific CFD models using a meshless code. The simulations were run over the cardiac cycle, and the WSS and vorticity values measured at the proximal and distal landing zones were compared. The CFD runs provided 4-dimensional simulations of blood flow in all patients. WSS and vorticity profiles at the proximal landing zone (located in zones 0-3 in 15 patients) varied in 18 and 20 of the cases, respectively; WSS was increased in 11 cases and the vorticity in 9. Pre- and postoperative WSS median values were 4.19 and 4.90 Pa, respectively. Vorticity median values were 40.38 and 39.17 Hz, respectively. TEVAR induces functional alterations in the native thoracic aorta, though the prognostic significance of these changes is still unknown. CFD appears to be a valuable tool to explore aortic hemodynamics, and its application in a larger series would help define a predictive role for these hemodynamic assessments.

Identifiants

pubmed: 33025866
doi: 10.1177/1526602820959662
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

63-69

Auteurs

Marco Midulla (M)

Department of Diagnostic and Therapeutic Radiology, Center for Mini-Invasive Image-Guided Therapies, Centre Hospitalier Universitaire de Dijon, Université de Bourgogne Franche-Comté, Dijon, France.

Ramiro Moreno (R)

INSERM, UMR 1048, I2MC, Toulouse, France.

Anne Negre-Salvayre (A)

INSERM, UMR 1048, I2MC, Toulouse, France.

Jean-Paul Beregi (JP)

Department of Radiology, CHU Caremau, Nîmes, France.

Stéphan Haulon (S)

Aortic Center, Hopital Marie-Lannelongue, Groupe Hospitalier Paris Saint Joseph, Paris, France.

Romaric Loffroy (R)

Department of Diagnostic and Therapeutic Radiology, Center for Mini-Invasive Image-Guided Therapies, Centre Hospitalier Universitaire de Dijon, Université de Bourgogne Franche-Comté, Dijon, France.

Michael Dake (M)

Health Sciences, University of Arizona, Tucson, AZ, USA.

Hervé Rousseau (H)

INSERM, UMR 1048, I2MC, Toulouse, France.
Department of Radiology, CHU Rangueil, Nîmes, France.

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Classifications MeSH