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一种对手术针在插入多层组织时的挠度进行建模的研究。

A study on modeling the deflection of surgical needle during insertion into multilayer tissues.

机构信息

Department of Mechanical Engineering, Temple University, Philadelphia, PA, USA.

Department of Mechanical Engineering, Temple University, Philadelphia, PA, USA.

出版信息

J Mech Behav Biomed Mater. 2023 Oct;146:106071. doi: 10.1016/j.jmbbm.2023.106071. Epub 2023 Aug 9.

DOI:10.1016/j.jmbbm.2023.106071
PMID:37573763
Abstract

The use of subcutaneous and percutaneous needle and catheter insertions is standard in modern clinical practice. However, a common issue with bevel tip surgical needles is their tendency to deflect, causing them to miss the intended target inside the tissue. This study aims to understand the interaction between the needle and soft tissue and develop a model to predict the deflection of a bevel tip needle during insertion into multi-layered soft tissues. The study examined the mechanics of needle-tissue interaction and modeled the forces involved during insertion. The force model includes cutting force, deformation force, and friction between the needle and tissue. There was an 8%-23% difference between the total analytical and experimental force measurements. A modified Euler-Bernoulli beam elastic foundation theory was used to create an analytical model to predict the needle tip deflection in soft tissue. To validate the results, the analytical deflection model was then compared to the deflection from needle insertion experiments on multi-layered phantom tissues, showing a 9%-21% error between the two. While there is a slight discrepancy between the analytical and experimental results, the study shows that the proposed model can accurately predict needle tip deflection during insertion.

摘要

皮下和经皮的针和导管插入术在现代临床实践中是标准的。然而,斜面外科针的一个常见问题是它们倾向于偏转,导致它们错过组织内的预期目标。本研究旨在了解针和软组织之间的相互作用,并开发一种模型来预测斜面尖端针在插入多层软组织时的偏转。该研究检查了针-组织相互作用的力学,并对插入过程中涉及的力进行了建模。力模型包括切割力、变形力和针与组织之间的摩擦力。总分析和实验力测量之间存在 8%-23%的差异。使用修正的欧拉-伯努利梁弹性基础理论创建了一个分析模型,以预测在软组织中针尖的偏转。为了验证结果,然后将分析得到的偏转模型与在多层模拟组织上的针插入实验得到的偏转进行比较,两者之间存在 9%-21%的误差。虽然分析和实验结果之间存在微小差异,但该研究表明,所提出的模型可以准确预测插入过程中针尖的偏转。

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