发表机构
University of the Bundeswehr Munich; Harvard University; Kiel University; University of Freiburg（德国联邦国防军慕尼黑大学; 哈佛大学; 基尔大学; 弗赖堡大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文综述编织型血管内植入物在颅内动脉瘤中的部署力学与血流动力学，提出模型保真度应匹配临床问题，并倡导界面分辨的力学-血流框架以改进设备设计和个体化治疗规划。
AI 中文摘要
血管内植入物通过改变动脉瘤颈部的力学和血流动力学环境来预防颅内动脉瘤破裂。然而，许多计算工作流程在计算血流之前预设或重建部署后的几何形状，而未解决产生临床相关界面的力学问题。在此，我们综述了编织型腔内血流导向装置、囊内装置以及新兴的血流干扰概念，涵盖部署力学、线间和线-壁接触、超弹性、壁面贴附、孔隙几何、计算流体动力学和流固耦合。我们将这些建模选择与颈部覆盖、贴壁不良、迁移、变形和耐久性联系起来，并区分既有证据与机制性推断及前瞻性假设。我们认为模型保真度应与临床问题相匹配：预设或快速放置可能支持筛查，而覆盖、贴附、压实和迁移等问题则受益于力学上合理的部署状态。一个界面分辨的力学-血流框架，辅以可测量的验证目标和标准化报告，可改进设备设计并实现更可靠的患者特异性治疗规划。
英文摘要
Endovascular implants prevent intracranial aneurysm rupture by altering the mechanical and hemodynamic environment at the aneurysm neck. Yet many in silico workflows prescribe or reconstruct the post-deployment geometry before computing flow, leaving unresolved the mechanics that create the clinically relevant interface. Here we review braided intraluminal flow diverters, intrasaccular devices, and emerging flow-disruption concepts across deployment mechanics, inter-wire and wire-wall contact, superelasticity, wall apposition, pore geometry, computational fluid dynamics, and fluid-structure interaction. We connect these modeling choices to neck coverage, malapposition, migration, deformation, and durability, and distinguish established evidence from mechanistic inference and prospective hypotheses. We argue that model fidelity should match the clinical question: prescribed or fast placement may support screening, whereas questions of coverage, apposition, compaction, and migration benefit from mechanically plausible deployment states. An interface-resolved mechanics-to-flow framework, supported by measurable validation targets and standardized reporting, could improve device design and enable more reliable patient-specific treatment planning.
