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血管内支架和线圈栓塞治疗颈内动脉动脉瘤的血流动力学评估:一项计算研究。

Hemodynamic evaluation of endovascular techniques of stenting and coiling for the treatment of internal carotid artery aneurysm: a computational study.

机构信息

Department of Neurosurgery, Tangshan Gongren Hospital, Tangshan, 063000, HeBei, China.

The Third Engineering Co., Ltd., China Railway 19th Bureau Group Co., Ltd, Shenyang, China.

出版信息

Sci Rep. 2024 Nov 24;14(1):29117. doi: 10.1038/s41598-024-80311-7.

DOI:10.1038/s41598-024-80311-7
PMID:39582080
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11586413/
Abstract

The selection optimum endovascular method for the treatment of different cerebral aneurysms has been the main challenge for surgeons. In the present article, the computational technique is used for the hemodynamic evaluation of two main endovascular techniques of stent and coiling for the reduction of the hemorrhage risk of ICA aneurysms. Comprehensive analyses of the blood flow are performed to detect potential regions with high risk at critical stages of the cardiac cycle. Two coiling porosity conditions and stent deformation have been investigated via computational study to reveal the main change related to hemodynamics when these techniques are implemented. The hemodynamic results of this study show that the endovascular technique is more efficient in small aneurysms rather than giant ones. Meanwhile, the stent treatment of the giant saccular aneurysm is effective when the parent vessel of this type of aneurysm is fully aligned and limited blood flow enters the sac area.

摘要

选择治疗不同脑动脉瘤的最佳血管内方法一直是外科医生面临的主要挑战。在本文中,计算技术用于评估支架和线圈两种主要血管内技术,以降低 ICA 动脉瘤出血风险的血流动力学。对血流进行全面分析,以检测心脏周期关键阶段潜在的高风险区域。通过计算研究研究了两种线圈孔隙率条件和支架变形,以揭示在实施这些技术时与血液动力学相关的主要变化。本研究的血液动力学结果表明,血管内技术在治疗小动脉瘤方面比治疗大型动脉瘤更有效。同时,当这种类型的动脉瘤的母血管完全对齐并且有限的血流进入囊区时,支架治疗大型囊状动脉瘤是有效的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f03/11586413/78510ab2787f/41598_2024_80311_Fig11_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f03/11586413/beeec7d2802a/41598_2024_80311_Fig9_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f03/11586413/78510ab2787f/41598_2024_80311_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f03/11586413/b88d94f1b979/41598_2024_80311_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f03/11586413/4955630abcfe/41598_2024_80311_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f03/11586413/53e2dda06ae4/41598_2024_80311_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f03/11586413/f977545a5d95/41598_2024_80311_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f03/11586413/2dfb454c9ccd/41598_2024_80311_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f03/11586413/3e517fa896e3/41598_2024_80311_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f03/11586413/cd384e75eb4a/41598_2024_80311_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f03/11586413/eef51ee7e899/41598_2024_80311_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f03/11586413/beeec7d2802a/41598_2024_80311_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f03/11586413/03fd2517d820/41598_2024_80311_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f03/11586413/78510ab2787f/41598_2024_80311_Fig11_HTML.jpg

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