Literature DB >> 30368170

Computational simulation of TEVAR in the ascending aorta for optimal endograft selection: A patient-specific case study.

R M Romarowski1, M Conti2, S Morganti3, V Grassi4, M M Marrocco-Trischitta4, S Trimarchi5, F Auricchio2.   

Abstract

Thoracic endovascular aortic repair of the ascending aorta is becoming an option for patients considered unfit for open surgery. Such an endovascular procedure requires careful pre-operative planning and the customization of prosthesis design. The patient-specific tailoring of the procedure may call for dedicated tools to investigate virtual treatment scenarios. Given such considerations, the present study shows a computational framework for choosing and deploying stent-grafts via Finite Element Analysis, by supporting the device sizing and selection in a real case dealing with the endovascular treatment of a pseudoaneurysm. In particular, three devices with various lengths and materials were examined. Two off-the-shelf devices were computationally tested: one composed of Stainless Steel rings with a nominal length of 60 mm and another one with Nitinol rings and a distal free flow extension, with a nominal length of 70 mm. In third place, a custom-made stent-graft, also with Nitinol rings and containing both proximal and distal bare extensions with a nominal length of 75 mm, was deployed. The latter solution based on patient morphology and virtually benchmarked in this simulation framework, enhanced the apposition to the wall by reducing the distance between the skirt and the vessel from more than 6 mm to less than 2 mm in the distal sealing zone. Our experience shows that in-silico simulations can help choosing the right endograft for the ascending aorta as well as the right deployment sequence. This process may also encourage vendors to develop new devices for cases where open repair is unfeasible.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Ascending aorta; Computational simulations; Finite element analysis; TEVAR

Mesh:

Year:  2018        PMID: 30368170     DOI: 10.1016/j.compbiomed.2018.10.014

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  5 in total

Review 1.  Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology.

Authors:  Chengyue Wu; Guillermo Lorenzo; David A Hormuth; Ernesto A B F Lima; Kalina P Slavkova; Julie C DiCarlo; John Virostko; Caleb M Phillips; Debra Patt; Caroline Chung; Thomas E Yankeelov
Journal:  Biophys Rev (Melville)       Date:  2022-05-17

2.  Patient-specific computational fluid dynamics analysis of transcatheter aortic root replacement with chimney coronary grafts.

Authors:  Michele Conti; Rodrigo M Romarowski; Anna Ferrarini; Matteo Stochino; Ferdinando Auricchio; Simone Morganti; Ludwig Karl von Segesser; Enrico Ferrari
Journal:  Interact Cardiovasc Thorac Surg       Date:  2021-04-08

3.  Patient-specific simulation of stent-graft deployment in type B aortic dissection: model development and validation.

Authors:  Xiaoxin Kan; Tao Ma; Jing Lin; Lu Wang; Zhihui Dong; Xiao Yun Xu
Journal:  Biomech Model Mechanobiol       Date:  2021-08-24

4.  Efficiently Simulating an Endograft Deployment: A Methodology for Detailed CFD Analyses.

Authors:  Faidon Kyriakou; Craig Maclean; William Dempster; David Nash
Journal:  Ann Biomed Eng       Date:  2020-05-11       Impact factor: 3.934

5.  Finite element modeling to predict procedural success of thoracic endovascular aortic repair in type A aortic dissection.

Authors:  Xun Yuan; Xiaoxin Kan; Xiao Yun Xu; Christoph A Nienaber
Journal:  JTCVS Tech       Date:  2020-10-13
  5 in total

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