Suppr超能文献

用于运动神经元疾病的贴合式3D打印晶格手腕手部矫形器的计算力学

Computational Mechanics of Form-Fitting 3D-Printed Lattice-Based Wrist-Hand Orthosis for Motor Neuron Disease.

作者信息

Badini Silvia, Regondi Stefano, Lammi Carmen, Bollati Carlotta, Donvito Giordana, Pugliese Raffaele

机构信息

Nemolab, ASST GOM Niguarda Cà Granda Hospital, 20162 Milan, Italy.

NEuroMuscular Omnicenter (NEMO), 20162 Milan, Italy.

出版信息

Biomedicines. 2023 Jun 22;11(7):1787. doi: 10.3390/biomedicines11071787.

Abstract

Motor neuron disease (MND) patients often experience hand-wrist muscle atrophy resulting in severe social consequences and hampering their daily activities. Although hand-wrist orthosis is commonly used to assist weakened muscles, its effectiveness is limited due to the rapid progression of the disease and the need for customization to suit individual patient requirements. To address these challenges, this study investigates the application of three-dimensional (3D) printing technology to design and fabricate two lattice structures inspired by silkworm cocoons, using poly-ε-caprolactone as feedstock material. Finite element method (FEM) analysis is employed to study the mechanical behavior, enabling control over the geometric configuration incorporated into the hand-wrist orthosis. Through tensile displacement and three-point bending simulations, the stress distribution is examined for both lattice geometries. Geometry-1 demonstrates anisotropic behavior, while geometry-2 exhibits no strict directional dependence due to its symmetry and uniform node positioning. Moreover, the biocompatibility of lattices with human skin fibroblasts is investigated, confirming excellent biocompatibility. Lastly, the study involves semi-structured interviews with MND patients to gather feedback and develop prototypes of form-fitting 3D-printed lattice-based hand-wrist orthosis. By utilizing 3D printing technology, this study aims to provide customized orthosis that can effectively support weakened muscles and reposition the hand for individuals with MND.

摘要

运动神经元病(MND)患者常出现手腕部肌肉萎缩,导致严重的社会后果并妨碍其日常活动。尽管手腕矫形器常用于辅助衰弱的肌肉,但由于疾病进展迅速且需要定制以满足个体患者需求,其效果有限。为应对这些挑战,本研究调查了三维(3D)打印技术的应用,以聚ε-己内酯为原料,设计并制造了两种受蚕茧启发的晶格结构。采用有限元方法(FEM)分析来研究力学行为,从而能够控制融入手腕矫形器的几何构型。通过拉伸位移和三点弯曲模拟,对两种晶格几何形状的应力分布进行了研究。几何形状1表现出各向异性行为,而几何形状2由于其对称性和均匀的节点定位,未表现出严格的方向依赖性。此外,还研究了晶格与人皮肤成纤维细胞的生物相容性,证实了其优异的生物相容性。最后,该研究对MND患者进行了半结构化访谈,以收集反馈并开发贴合身体的基于3D打印晶格的手腕矫形器原型。通过利用3D打印技术,本研究旨在为MND患者提供能够有效支撑衰弱肌肉并重新定位手部的定制矫形器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c90/10376028/b54f24cb2b62/biomedicines-11-01787-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验