Literature DB >> 24811307

Evaluation of the hemodynamic effectiveness of aortic dissection treatments via virtual stenting.

Mona Alimohammadi1, Benjamin Bhattacharya-Ghosh, Santhosh Seshadhri, Justin Penrose, Obiekezie Agu, Stavroula Balabani, Vanessa Díaz-Zuccarini.   

Abstract

Aortic dissection treatment varies for each patient and stenting is one of a number of approaches that are utilized to Stabilize the condition. Information regarding the hemodynamic forces in the aorta in dissected and virtually stented cases could support clinicians in their choices of treatment prior to medical intervention. Computational fluid dynamics coupled with lumped parameter models have shown promise in providing detailed information that could be used in the clinic; for this, it is necessary to develop personalized workflows in order to produce patient-specific simulations. In the present study, a case of pre- and post-stenting (virtual stent-graft) of an aortic dissection is investigated with a particular focus on the role of personalized boundary conditions. For each virtual case, velocity, pressure, energy loss, and wall shear stress values are evaluated and compared. The simulated single stent-graft only marginally reduced the pulse pressure and systemic energy loss. The double stent-graft results showed a larger reduction in pulse pressure and a 40% reduction in energy loss as well as a more physiological wall shear stress distribution.Regions of potential risk were highlighted. The methodology applied in the present study revealed detailed information about two possible surgical outcome cases and shows promise as both a diagnostic and an interventional tool.

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Year:  2014        PMID: 24811307     DOI: 10.5301/ijao.5000310

Source DB:  PubMed          Journal:  Int J Artif Organs        ISSN: 0391-3988            Impact factor:   1.595


  5 in total

1.  Multilayer flow modulator enhances vital organ perfusion in patients with type B aortic dissection.

Authors:  Farhad Rikhtegar Nezami; Lambros S Athanasiou; Junedh M Amrute; Elazer R Edelman
Journal:  Am J Physiol Heart Circ Physiol       Date:  2018-08-10       Impact factor: 4.733

2.  Aortic dissection simulation models for clinical support: fluid-structure interaction vs. rigid wall models.

Authors:  Mona Alimohammadi; Joseph M Sherwood; Morad Karimpour; Obiekezie Agu; Stavroula Balabani; Vanessa Díaz-Zuccarini
Journal:  Biomed Eng Online       Date:  2015-04-15       Impact factor: 2.819

3.  Virtual TEVAR: Overcoming the Roadblocks of In-Silico Tools for Aortic Dissection Treatment.

Authors:  Vanessa Diaz-Zuccarini; Mirko Bonfanti; Gaia Franzetti; Stavroula Balabani
Journal:  Theranostics       Date:  2018-12-07       Impact factor: 11.556

4.  Computational tools for clinical support: a multi-scale compliant model for haemodynamic simulations in an aortic dissection based on multi-modal imaging data.

Authors:  Mirko Bonfanti; Stavroula Balabani; John P Greenwood; Sapna Puppala; Shervanthi Homer-Vanniasinkam; Vanessa Díaz-Zuccarini
Journal:  J R Soc Interface       Date:  2017-11       Impact factor: 4.118

5.  The effect of beta-blockers on hemodynamic parameters in patient-specific blood flow simulations of type-B aortic dissection: a virtual study.

Authors:  Mohammad Amin Abazari; Deniz Rafieianzab; M Soltani; Mona Alimohammadi
Journal:  Sci Rep       Date:  2021-08-06       Impact factor: 4.379

  5 in total

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