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通过形状自适应声学操控在血管网络中实现超选择性栓塞颗粒引导

Superselective embolic particle guidance in vessel networks via shape-adaptive acoustic manipulation.

作者信息

Luo Yucheng, Yin Qiu, Chen Keke, Deng Zhaoyu, Liu Xiaozhou, Zhou Yinning, Zhu Benpeng, Zhang Wenming, Ma Zhichao

机构信息

Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.

State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China.

出版信息

Nat Commun. 2025 Jan 2;16(1):254. doi: 10.1038/s41467-024-55478-2.

Abstract

Interventional embolization has been widely used as a clinical cancer therapy, which deactivates the tumors by occluding their blood supply vessels. However, conventional methods lack active control over the embolic particles, thus having a limited selectivity of millimeter-scale vessels and the issue of missing embolization. Here, we propose an ultrasound-based method for embolic particle control in submillimeter vessels. The biocompatible ultrasound generated from an extrasomatic source can transmit through biological tissues, and exert forces on the intravital embolic particles. We show that the particles, influenced by these forces, are steerable to the target branch at vascular bifurcations. By modulating the ultrasound to adapt the vascular bifurcation distribution, the particles flowing in the micro-vessel networks are steered to the target branch and embolize it. The acoustic steering within ex vivo and in vivo models both verify the potential of this non-invasive particle control for precise and safe interventional therapy.

摘要

介入栓塞已被广泛用作一种临床癌症治疗方法,它通过阻塞肿瘤的供血血管来使肿瘤失活。然而,传统方法对栓塞颗粒缺乏主动控制,因此对毫米级血管的选择性有限,存在漏栓问题。在此,我们提出一种基于超声的方法来控制亚毫米级血管中的栓塞颗粒。从体外源产生的生物相容性超声可以穿透生物组织,并对活体栓塞颗粒施加力。我们表明,受这些力影响的颗粒在血管分叉处可被引导至目标分支。通过调制超声以适应血管分叉分布,在微血管网络中流动的颗粒被引导至目标分支并对其进行栓塞。体外和体内模型中的声学引导均验证了这种非侵入性颗粒控制用于精确和安全介入治疗的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93f6/11696135/b641790cdb11/41467_2024_55478_Fig1_HTML.jpg

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