Literature DB >> 23395199

Patient-specific aortic endografting simulation: from diagnosis to prediction.

F Auricchio1, M Conti, S Marconi, A Reali, Jip L Tolenaar, S Trimarchi.   

Abstract

Traditional surgical repair of ascending aortic pseudoaneurysm is complex, technically challenging, and associated with significant mortality. Although new minimally invasive procedures are rapidly arising thanks to the innovations in catheter-based technologies, the endovascular repair of the ascending aorta is still limited because of the related anatomical challenges. In this context, the integration of the clinical considerations with dedicated bioengineering analysis, combining the vascular features and the prosthesis design, might be helpful to plan the procedure and predict its outcome. Moving from such considerations, in the present study we describe the use of a custom-made stent-graft to perform a fully endovascular repair of an asymptomatic ascending aortic pseudoaneurysm in a patient, who was a poor candidate for open surgery. We also discuss the possible contribution of a dedicated medical images analysis and patient-specific simulation as support to procedure planning. In particular, we have compared the simulation prediction based on pre-operative images with post-operative outcomes. The agreement between the computer-based analysis and reality encourages the use of the proposed approach for a careful planning of the treatment strategy and for an appropriate patient selection, aimed at achieving successful outcomes for endovascular treatment of ascending aortic pseudoaneurysms as well as other aortic diseases.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23395199     DOI: 10.1016/j.compbiomed.2013.01.006

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


  6 in total

Review 1.  Contemporary Role of Computational Analysis in Endovascular Treatment for Thoracic Aortic Disease.

Authors:  Guido H W van Bogerijen; Jip L Tolenaar; Michele Conti; Ferdinando Auricchio; Francesco Secchi; Francesco Sardanelli; Frans L Moll; Joost A van Herwaarden; Vincenzo Rampoldi; Santi Trimarchi
Journal:  Aorta (Stamford)       Date:  2013-08-01

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

Review 4.  The health digital twin to tackle cardiovascular disease-a review of an emerging interdisciplinary field.

Authors:  Genevieve Coorey; Gemma A Figtree; David F Fletcher; Victoria J Snelson; Stephen Thomas Vernon; David Winlaw; Stuart M Grieve; Alistair McEwan; Jean Yee Hwa Yang; Pierre Qian; Kieran O'Brien; Jessica Orchard; Jinman Kim; Sanjay Patel; Julie Redfern
Journal:  NPJ Digit Med       Date:  2022-08-26

5.  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

6.  Evaluation and Verification of Fast Computational Simulations of Stent-Graft Deployment in Endovascular Aneurysmal Repair.

Authors:  Aymeric Pionteck; Baptiste Pierrat; Sébastien Gorges; Jean-Noël Albertini; Stéphane Avril
Journal:  Front Med Technol       Date:  2021-07-20
  6 in total

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