导丝-血块相互作用力在机器人机械取栓中检测血块的潜力

IF 2.1 3区 医学 Q2 SURGERY
Evgenia Roussinova, Olivier Brina, William Galand, Philippe Reymond, Silvestro Micera, Paolo Machi, Mohamed Bouri
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引用次数: 0

摘要

目前,介入神经放射科医生在面对缺血性中风病例时,由于无法精确定位血栓或确定其机械特性而错过了关键信息,而这两项对血栓提取过程都很重要。方法在体外研究中,采用不同的插入压力水平,将不同硬度和尺寸的凝块类似物插入理想的动脉假体中。使用配备力传感器的机器人装置记录导丝-凝块相互作用力。提出了一种基于模型的血块检测方法。结果血块刚度、初始血块体积和插入压力均影响导丝-血块相互作用力。在检测血栓近端和远端边缘时,我们的成功率分别为86.5%和71.2%,误差范围为±$\pm $ 1.5 mm。结论本研究为机械取栓带来了新的视角,证明了多个参数会影响血栓的力学状态,并提出了识别血栓末端的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Potential of Guidewire-Clot Interaction Forces for Clot Detection in Robotic Mechanical Thrombectomy

Potential of Guidewire-Clot Interaction Forces for Clot Detection in Robotic Mechanical Thrombectomy

Background

Interventional neuroradiologists currently miss crucial information when facing an ischaemic stroke case as they cannot localise the thrombus precisely nor determine its mechanical properties, which are both important for the clot extraction procedure.

Methods

In this in vitro study, clot analogues of different stiffnesses and dimensions were inserted in an idealised arterial phantom using distinct insertion pressure levels. Guidewire-clot interaction forces were recorded using a robotic device equipped with a force sensor. A model-based clot detection method was developed.

Results

Clot stiffness, initial clot volume, and insertion pressure were all found to impact the guidewire-clot interaction forces. In detecting the clot's proximal and distal edges, we achieved success rates of 86.5% and 71.2%, respectively, within a tolerance of ± $\pm $ 1.5 mm.

Conclusions

The study brings new perspectives for mechanical thrombectomy by demonstrating that multiple parameters influence the occlusion's mechanical state and by proposing algorithms for identifying the clot's extremities.

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来源期刊
CiteScore
4.50
自引率
12.00%
发文量
131
审稿时长
6-12 weeks
期刊介绍: The International Journal of Medical Robotics and Computer Assisted Surgery provides a cross-disciplinary platform for presenting the latest developments in robotics and computer assisted technologies for medical applications. The journal publishes cutting-edge papers and expert reviews, complemented by commentaries, correspondence and conference highlights that stimulate discussion and exchange of ideas. Areas of interest include robotic surgery aids and systems, operative planning tools, medical imaging and visualisation, simulation and navigation, virtual reality, intuitive command and control systems, haptics and sensor technologies. In addition to research and surgical planning studies, the journal welcomes papers detailing clinical trials and applications of computer-assisted workflows and robotic systems in neurosurgery, urology, paediatric, orthopaedic, craniofacial, cardiovascular, thoraco-abdominal, musculoskeletal and visceral surgery. Articles providing critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies, commenting on ease of use, or addressing surgical education and training issues are also encouraged. The journal aims to foster a community that encompasses medical practitioners, researchers, and engineers and computer scientists developing robotic systems and computational tools in academic and commercial environments, with the intention of promoting and developing these exciting areas of medical technology.
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