Fast Approximate Quantification of Endovascular Stent Graft Displacement Forces in the Bovine Aortic Arch Variant.


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:
10 2023
Historique:
medline: 18 9 2023
pubmed: 20 5 2022
entrez: 19 5 2022
Statut: ppublish

Résumé

Displacement forces ( We tested the fast-approximate approach against CFD gold-standard in 34 subjects with the "bovine" aortic arch variant. For each dataset, a 3-dimensional (3D) model of the aortic arch lumen was reconstructed from computed tomography angiography and CFD then employed to compute Fast-approximate approach consistently reflected (r Requiring only a few seconds and quantifying clinically relevant biomechanical parameters of proximal landing zones for arch TEVAR, our method suits the real preoperative decision-making process. It paves the way toward analyzing large population of patients and hence to define threshold values for a future patient-specific preoperative TEVAR planning.

Identifiants

pubmed: 35588222
doi: 10.1177/15266028221095403
pmc: PMC10503258
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

756-768

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Auteurs

Francesco Sturla (F)

3D and Computer Simulation Laboratory, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Department of Electronics Information and Bioengineering, Politecnico di Milano, Milano, Italy.

Alessandro Caimi (A)

Department of Electronics Information and Bioengineering, Politecnico di Milano, Milano, Italy.

Rodrigo M Romarowski (RM)

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

Giovanni Nano (G)

Vascular Surgery Unit, Cardiovascular Department, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milano, Italy.

Mattia Glauber (M)

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

Alberto Redaelli (A)

Department of Electronics Information and Bioengineering, Politecnico di Milano, Milano, Italy.

Emiliano Votta (E)

3D and Computer Simulation Laboratory, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Department of Electronics Information and Bioengineering, Politecnico di Milano, Milano, Italy.

Massimiliano M Marrocco-Trischitta (MM)

Vascular Surgery Unit, Cardiovascular Department, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Clinical Research Unit, Cardiovascular Department, IRCCS Policlinico San Donato, San Donato Milanese, Italy.

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