Total Arch Replacement Versus Hemiarch Replacement in Hemodynamic Performance: A Simulation Study

IF 2.2 4区 医学 Q3 ENGINEERING, BIOMEDICAL International Journal for Numerical Methods in Biomedical Engineering Pub Date : 2025-02-20 DOI:10.1002/cnm.70019
Yike Shi, Chenjia Zhang, Yawei Zhao, Yusheng Jin, Fen Li, Hui Song, Lingfeng Chen, Hongpeng Zhang
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Abstract

Acute type A aortic dissection (ATAAD) is a life-threatening aortic emergency with high mortality. Currently, hemiarch replacement (HAR) and total arch replacement (TAR) are the primary surgeries for ATAAD, but their long-term outcomes remain debated, possibly due to the influence of clinical factors in multicenter studies. This study aims to evaluate the long-term outcomes of HAR and TAR by in silico analysis, mitigating the impact of clinical factors. A personalized model was reconstructed to simulate HAR and TAR by altering the material properties at the replacement regions, obtaining hemodynamic and wall response parameters through two-way fluid–structure interaction analysis. HAR exhibits a higher increase in von Mises stress at the anastomosis compared to pre-operation levels (HAR: 4.39 times normal, TAR: 2.42 times normal), increasing the risk of pseudoaneurysm formation. TAR induced more severe streamline absence in the arch branches, potentially resulting in intermittent blood flow to the upper limbs and brain. HAR poses a higher risk of pseudoaneurysm formation at the anastomosis, while TAR carries increased risks of upper limb and cerebral ischemia. Enhanced monitoring of the anastomosis in HAR patients and vigilance for upper limb fatigue and cerebral ischemic events in TAR patients are recommended. This study offers effective guidance for managing postoperative HAR and TAR patients, contributing to the prevention of complications and enhancing their postoperative quality of life.

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来源期刊
International Journal for Numerical Methods in Biomedical Engineering
International Journal for Numerical Methods in Biomedical Engineering ENGINEERING, BIOMEDICAL-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.50
自引率
9.50%
发文量
103
审稿时长
3 months
期刊介绍: All differential equation based models for biomedical applications and their novel solutions (using either established numerical methods such as finite difference, finite element and finite volume methods or new numerical methods) are within the scope of this journal. Manuscripts with experimental and analytical themes are also welcome if a component of the paper deals with numerical methods. Special cases that may not involve differential equations such as image processing, meshing and artificial intelligence are within the scope. Any research that is broadly linked to the wellbeing of the human body, either directly or indirectly, is also within the scope of this journal.
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