Literature DB >> 25935270

Use of computational fluid dynamics studies in predicting aneurysmal degeneration of acute type B aortic dissections.

Eric K Shang1, Derek P Nathan2, Ronald M Fairman3, Joseph E Bavaria4, Robert C Gorman4, Joseph H Gorman4, Benjamin M Jackson5.   

Abstract

OBJECTIVE: Whereas uncomplicated acute type B aortic dissections are often medically managed with good outcomes, a subset develop subacute or chronic aneurysmal dilation. We hypothesized that computational fluid dynamics (CFD) simulations may be useful in identifying patients at risk for this complication.
METHODS: Patients with acute type B dissection complicated by rapidly expanding aortic aneurysms (N = 7) were compared with patients with stable aortic diameters (N = 7). Three-dimensional patient-specific dissection geometries were generated from computed tomography angiography and used in CFD simulations of pulsatile blood flow. Hemodynamic parameters including false lumen flow and wall shear stress were compared.
RESULTS: Patients with rapid aneurysmal degeneration had a growth rate of 5.3 ± 2.7 mm/mo compared with those with stable aortic diameters, who had rates of 0.2 ± 0.02 mm/mo. Groups did not differ in initial aortic diameter (36.1 ± 2.9 vs 34.4 ± 3.6 mm; P = .122) or false lumen size (22.6 ± 2.9 vs 20.2 ± 4.5 mm; P = .224). In patients with rapidly expanding aneurysms, a greater percentage of total flow passed through the false lumen (78.3% ± 9.3% vs 56.3% ± 11.8%; P = .016). The time-averaged wall shear stress on the aortic wall was also significantly higher (12.6 ± 3.7 vs 7.4 ± 2.8 Pa; P = .028).
CONCLUSIONS: Hemodynamic parameters derived from CFD simulations of acute type B aortic dissections were significantly different in dissections complicated by aneurysm formation. Thus, CFD may assist in predicting which patients may benefit from early stent grafting.
Copyright © 2015 Society for Vascular Surgery. Published by Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 25935270      PMCID: PMC6685432          DOI: 10.1016/j.jvs.2015.02.048

Source DB:  PubMed          Journal:  J Vasc Surg        ISSN: 0741-5214            Impact factor:   4.268


  7 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.  Multi-Velocity Encoding Four-Dimensional Flow Magnetic Resonance Imaging in the Assessment of Chronic Aortic Dissection.

Authors:  Andrew G Sherrah; Fraser M Callaghan; Rajesh Puranik; Richmond W Jeremy; Paul G Bannon; Michael P Vallely; Stuart M Grieve
Journal:  Aorta (Stamford)       Date:  2017-06-01

3.  Virtual stenting with simplex mesh and mechanical contact analysis for real-time planning of thoracic endovascular aortic repair.

Authors:  Duanduan Chen; Jianyong Wei; Yiming Deng; Huanming Xu; Zhenfeng Li; Haoye Meng; Xiaofeng Han; Yonghao Wang; Jia Wan; Tianyi Yan; Jiang Xiong; Xiaoying Tang
Journal:  Theranostics       Date:  2018-11-10       Impact factor: 11.556

4.  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

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.  Association of hemodynamic factors and progressive aortic dilatation following type A aortic dissection surgical repair.

Authors:  Yu Zhu; Saeed Mirsadraee; George Asimakopoulos; Alessia Gambaro; Ulrich Rosendahl; John Pepper; Xiao Yun Xu
Journal:  Sci Rep       Date:  2021-06-01       Impact factor: 4.379

7.  On the Role and Effects of Uncertainties in Cardiovascular in silico Analyses.

Authors:  Simona Celi; Emanuele Vignali; Katia Capellini; Emanuele Gasparotti
Journal:  Front Med Technol       Date:  2021-12-01
  7 in total

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