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Updated: Jun 25, 2026

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Time-Resolved, Dynamic Computed Tomography Angiography for Characterization of Aortic Endoleaks and Treatment Guidance via 2D-3D Fusion-Imaging
Published on: December 9, 2021
A patient-specific CTA-CFD framework deciphers hemodynamic heterogeneity after fenestrated TEVAR: a pilot study
Baoyou Zhang1, Fan Gao2, Jian Wang3
1Department of Cardiac and Thoracic Vascular Surgery, The First People's Hospital of Jiashan County, Jiaxing, Zhejiang, China.
Frontiers in Bioengineering and Biotechnology
|June 24, 2026
Summary
Fenestrated thoracic endovascular aortic repair (TEVAR) outcomes vary due to unknown hemodynamic factors. This study used patient-specific CT angiography and CFD to analyze morpho-hemodynamic changes after TEVAR, revealing potential links to patient outcomes.
Area of Science:
- Cardiovascular Surgery
- Biomedical Engineering
- Medical Imaging
Background:
- Clinical outcomes of fenestrated thoracic endovascular aortic repair (TEVAR) show significant variability.
- The underlying hemodynamic mechanisms contributing to this heterogeneity are not well understood.
Purpose of the Study:
- To develop and validate a patient-specific computational framework.
- Integrate computed tomography angiography (CTA) and computational fluid dynamics (CFD) to analyze morpho-hemodynamic changes after fenestrated TEVAR.
Main Methods:
- Reconstructed 3D aortic geometries from postoperative CTA in six patients undergoing TEVAR with LSA fenestration.
- Performed high-fidelity CFD simulations to assess flow distribution, velocity, time-averaged wall shear stress (TAWSS), and oscillatory shear index (OSI).
Main Results:
- The brachiocephalic trunk showed minimal impact (median ARBT 0.80).
- Identified severe LSA stenosis (ARLSA = 5.25) and mild LCCA compromise (ARLLCA = 1.27) with elevated TAWSS.
- One patient had inadequate descending aorta flow (42.83% cardiac output); others had no significant hemodynamic abnormalities.
Conclusions:
- Established a patient-specific CTA-CFD framework to analyze post-TEVAR morpho-hemodynamic alterations.
- The methodology quantitatively links geometric changes to adverse hemodynamic phenotypes, offering insights into outcome disparities.
- This computational tool requires further validation in larger prospective studies.