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内侧尺侧副韧带的功能分类:一项基于计算机辅助设计的体内运动学研究

Functional Classification of the Medial Ulnar Collateral Ligament: An In Vivo Kinematic Study With Computer-Aided Design.

作者信息

Kholinne Erica, Zulkarnain Rizki Fajar, Lee Hyun-Joo, Adikrishna Arnold, Jeon In-Ho

机构信息

Department of Orthopedic Surgery, St Carolus Hospital, Jakarta, Indonesia.

Department of Orthopedic Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.

出版信息

Orthop J Sports Med. 2018 Mar 23;6(3):2325967118762750. doi: 10.1177/2325967118762750. eCollection 2018 Mar.

Abstract

BACKGROUND

It has been widely accepted that the anterior and posterior bundles of the medial ulnar collateral ligament (MUCL) tighten at extension and flexion, respectively. However, this belief is based on anatomic data acquired from cadaveric studies. The advancement of 3-dimensional (3D) model technology has made possible the simulation of dynamic movement that includes each ligament bundle fiber to analyze its functional properties. To date, no study has analyzed ligament kinematics at the level of the fibers while also focusing on their functional properties.

PURPOSE

To propose a new classification for functional properties of the MUCL based on its kinematic pattern.

STUDY DESIGN

Descriptive laboratory study.

METHODS

Five healthy elbow joints were scanned by use of computed tomography, and 3D models were rendered and translated into vertex points for further mathematical analysis. The humeral origin and ulnar insertion of the MUCL fiber groups were registered. Each vertex point on the origin side was randomly connected to the insertion side, with each pair of corresponding points defined as 1 ligament fiber. Lengths of all the fibers were measured at 1° increments of elbow range of motion (ROM). Ligament fibers were grouped according to their patterns. Mean coverage area for each group, expressed as the percentage of ligament fibers per group to the total number of fibers, was calculated.

RESULTS

Four major bundle groups were found based on fiber length properties. Kinematic simulation showed that each group had a different kinematic function throughout elbow ROM. Mean coverage area of groups 1, 2, 3, and 4 was 8% ± 4%, 10% ± 5%, 42% ± 6%, and 40% ± 8%, respectively. Each group acted as a dominant stabilizer in certain arcs of motion. Reciprocal activity was observed between groups 1 and 3 along with groups 2 and 4 to produce synergistic properties of maintaining elbow stability.

CONCLUSION

Detailed analysis of fibers of the MUCL allows for further understanding of its kinematic function. This study provides MUCL group coverage area and kinematic function for each degree of motion arc, allowing selective reconstruction of the MUCL according to mechanism of injury.

CLINICAL RELEVANCE

Understanding the dominant functional fibers of the MUCL will benefit surgeons attempting MUCL reconstruction and will enhance further anatomic study.

摘要

背景

内侧尺侧副韧带(MUCL)的前束和后束分别在伸展和屈曲时收紧,这一观点已被广泛接受。然而,这一观点是基于尸体研究获得的解剖学数据。三维(3D)模型技术的进步使得模拟包括每条韧带束纤维的动态运动以分析其功能特性成为可能。迄今为止,尚无研究在关注韧带纤维功能特性的同时,对其纤维层面的运动学进行分析。

目的

基于其运动学模式,提出一种新的内侧尺侧副韧带功能特性分类方法。

研究设计

描述性实验室研究。

方法

使用计算机断层扫描对5个健康肘关节进行扫描,构建3D模型并转换为顶点,以便进行进一步的数学分析。记录内侧尺侧副韧带纤维组的肱骨起点和尺骨止点。起点侧的每个顶点随机连接到止点侧,每对对应点定义为1条韧带纤维。在肘关节活动范围(ROM)以1°增量的情况下测量所有纤维的长度。韧带纤维根据其模式进行分组。计算每组的平均覆盖面积,以每组韧带纤维占纤维总数的百分比表示。

结果

基于纤维长度特性发现了四个主要束组。运动学模拟表明,在整个肘关节ROM中,每组具有不同的运动学功能。第1、2、3和4组的平均覆盖面积分别为8%±4%、10%±5%、42%±6%和40%±8%。每组在特定的运动弧度中起主要稳定作用。第1组和第3组以及第2组和第4组之间观察到相互作用,以产生维持肘关节稳定性的协同特性。

结论

对内侧尺侧副韧带纤维的详细分析有助于进一步了解其运动学功能。本研究提供了每个运动弧度的内侧尺侧副韧带组覆盖面积和运动学功能,允许根据损伤机制选择性重建内侧尺侧副韧带。

临床意义

了解内侧尺侧副韧带的主要功能纤维将有助于尝试进行内侧尺侧副韧带重建的外科医生,并将加强进一步的解剖学研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfdb/5871058/ff275eeaebe6/10.1177_2325967118762750-fig1.jpg

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