Suppr超能文献

不同下颌位置时颞下颌关节盘厚度和位置变化的体内预测。

In vivo prediction of temporomandibular joint disc thickness and position changes for different jaw positions.

机构信息

Department of Prosthodontics, University Clinic of Dentistry, Medical University of Vienna, Vienna, Austria.

Department of Biomedical Imaging and Image-guided Therapy, High Field MR Centre, Medical University of Vienna, Vienna, Austria.

出版信息

J Anat. 2019 May;234(5):718-727. doi: 10.1111/joa.12951. Epub 2019 Feb 20.

Abstract

Temporomandibular joint disorders (TMD) are common dysfunctions of the masticatory region and are often linked to dislocation or changes of the temporomandibular joint (TMJ) disc. Magnetic resonance imaging (MRI) is the gold standard for TMJ imaging but standard clinical sequences do not deliver a sufficient resolution and contrast for the creation of detailed meshes of the TMJ disc. Additionally, bony structures cannot be captured appropriately using standard MRI sequences due to their low signal intensity. The objective of this study was to enable researchers to create high resolution representations of all structures of the TMJ and consequently investigate morphological as well as positional changes of the masticatory system. To create meshes of the bony structures, a single computed tomography (CT) scan was acquired. In addition, a high-resolution MRI sequence was produced, which is used to collect the thickness and position change of the disc for various static postures using bite blocks. Changes in thickness of the TMJ disc as well as disc translation were measured. The newly developed workflow successfully allows researchers to create high resolution models of all structures of the TMJ for various static positions, enabling the investigation of TMJ disc translation and deformation. Discs were thinnest in the lateral part and moved mainly anteriorly and slightly medially. The procedure offers the most comprehensive picture of disc positioning and thickness changes reported to date. The presented data can be used for the development of a biomechanical computer model of TMJ anatomy and to investigate dynamic and static loads on the components of the system, which could be useful for the prediction of TMD onset.

摘要

颞下颌关节紊乱(TMD)是咀嚼区域常见的功能障碍,常与颞下颌关节(TMJ)脱位或关节盘改变有关。磁共振成像(MRI)是 TMJ 成像的金标准,但标准临床序列无法提供足够的分辨率和对比度来创建 TMJ 盘的详细网格。此外,由于骨结构的信号强度低,标准 MRI 序列无法适当地捕获它们。本研究的目的是使研究人员能够创建 TMJ 所有结构的高分辨率表示,并因此研究咀嚼系统的形态和位置变化。为了创建骨结构的网格,仅采集了一次计算机断层扫描(CT)。此外,还产生了一种高分辨率 MRI 序列,该序列用于使用咬合块收集各种静态姿势下的盘片厚度和位置变化。测量了 TMJ 盘片的厚度变化和盘片移位。新开发的工作流程成功地允许研究人员为各种静态位置创建 TMJ 所有结构的高分辨率模型,从而能够研究 TMJ 盘片移位和变形。盘片在外侧部分最薄,主要向前和稍微向内侧移动。该程序提供了迄今为止报告的盘片定位和厚度变化的最全面的图像。所提供的数据可用于开发 TMJ 解剖的生物力学计算机模型,并研究系统组件的动态和静态负载,这对于预测 TMD 的发生可能很有用。

相似文献

引用本文的文献

1
Finite element analysis of SED and facial morphology.睡眠呼吸紊乱与面部形态的有限元分析
BMC Oral Health. 2025 May 31;25(1):859. doi: 10.1186/s12903-025-06156-2.
5
Computational Biomechanics of Sleep: A Systematic Mapping Review.睡眠的计算生物力学:一项系统映射综述
Bioengineering (Basel). 2023 Aug 2;10(8):917. doi: 10.3390/bioengineering10080917.
9
Characterizing Motor Control of Mastication With Soft Actor-Critic.基于软演员评论家算法的咀嚼运动控制特性分析
Front Hum Neurosci. 2020 May 26;14:188. doi: 10.3389/fnhum.2020.00188. eCollection 2020.
10
A Dynamic Jaw Model With a Finite-Element Temporomandibular Joint.一种带有有限元颞下颌关节的动态颌骨模型。
Front Physiol. 2019 Sep 13;10:1156. doi: 10.3389/fphys.2019.01156. eCollection 2019.

本文引用的文献

1
Correlation between pain and MRI findings in TMD patients.颞下颌关节紊乱病患者疼痛与 MRI 表现的相关性。
J Craniomaxillofac Surg. 2018 Aug;46(8):1167-1171. doi: 10.1016/j.jcms.2017.12.029. Epub 2018 Jan 4.
4
Ex vivo thickness measurement of cartilage covering the temporomandibular joint.颞下颌关节覆盖软骨的体外厚度测量。
J Biomech. 2017 Feb 8;52:165-168. doi: 10.1016/j.jbiomech.2016.12.016. Epub 2016 Dec 19.
8
Zero TE MR bone imaging in the head.头部零回波时间磁共振骨成像
Magn Reson Med. 2016 Jan;75(1):107-14. doi: 10.1002/mrm.25545. Epub 2015 Jan 16.
10
Finite element analysis of the human mastication cycle.人类咀嚼周期的有限元分析。
J Mech Behav Biomed Mater. 2015 Jan;41:23-35. doi: 10.1016/j.jmbbm.2014.09.022. Epub 2014 Oct 7.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验