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. 2023 Dec 19;24(12):355.
doi: 10.31083/j.rcm2412355. eCollection 2023 Dec.

Systematic Review of the Application of Computational Fluid Dynamics for Adult Aortic Diseases

Jian Song  1 , Shiqi Gao  1 , Enzehua Xie  1 , Wei Wang  2 , Lu Dai  1 , Rui Zhao  1 , Chenyu Zhou  1 , Juntao Qiu  1 , Cuntao Yu  1   3
Affiliations

Systematic Review of the Application of Computational Fluid Dynamics for Adult Aortic Diseases

Jian Song et al. Rev Cardiovasc Med. .

Abstract

Background: Computational fluid dynamics (CFD) is a new medical method combining medicine and science. The aim of this study is to summarize and analyze the application of CFD in adult aortic diseases.

Methods: This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A search in the PubMed, Cochrane Library and Chinese databases identified 47 highly relevant articles. Studies were included if they assessed biomechanical markers and their potential association with progression or rupture of aortic aneurysms or dissections.

Results: There are no randomized controlled trials to examine the direct relationship between all biomechanical parameters and aortic disease progression or rupture. Wall stress and peak wall rupture risk can predict the risk of aortic aneurysm rupture using biomechanics, which is more accurate than the prediction based on "diameter" alone. Areas with lower time averaged wall shear stress (TAWSS) and higher oscillatory shear index (OSI) are at risk for further aortic expansion or dissection. Higher relative residence time (RRT) area can predict platelet activation and thrombosis. In addition, pressure, flow field and other indicators can also roughly predict the risk of aortic disease progression.

Conclusions: Contemporary evidence suggests that CFD can provide additional hemodynamic parameters, which have the potential to predict the progression of aortic lesions, the effect of surgical intervention, and prognosis.

Keywords: aorta aneurysm; aorta dissection; biomechanics; computational fluid dynamics.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Fig. 1.
Fig. 1.
Flow chart of search strategy.
Fig. 2.
Fig. 2.
Diagram of the steps for performing a CFD analysis. CFD, computational fluid dynamics; 3D, 3-dimension.
See this image and copyright information in PMC

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