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口腔黏膜生物力学

Biomechanics of oral mucosa.

作者信息

Chen Junning, Ahmad Rohana, Li Wei, Swain Michael, Li Qing

机构信息

School of Aerospace, Mechanical and Mechatronic Engineering, University of Sydney, Sydney, New South Wales 2006, Australia.

Unit of Prosthodontics, Faculty of Dentistry, Universiti Teknologi MARA, Shah Alam 40450, Malaysia.

出版信息

J R Soc Interface. 2015 Aug 6;12(109):20150325. doi: 10.1098/rsif.2015.0325.

DOI:10.1098/rsif.2015.0325
PMID:26224566
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4535403/
Abstract

The prevalence of prosthodontic treatment has been well recognized, and the need is continuously increasing with the ageing population. While the oral mucosa plays a critical role in the treatment outcome, the associated biomechanics is not yet fully understood. Using the literature available, this paper provides a critical review on four aspects of mucosal biomechanics, including static, dynamic, volumetric and interactive responses, which are interpreted by its elasticity, viscosity/permeability, apparent Poisson's ratio and friction coefficient, respectively. Both empirical studies and numerical models are analysed and compared to gain anatomical and physiological insights. Furthermore, the clinical applications of such biomechanical knowledge on the mucosa are explored to address some critical concerns, including stimuli for tissue remodelling (interstitial hydrostatic pressure), pressure-pain thresholds, tissue displaceability and residual bone resorption. Through this review, the state of the art in mucosal biomechanics and their clinical implications are discussed for future research interests, including clinical applications, computational modelling, design optimization and prosthetic fabrication.

摘要

口腔修复治疗的患病率已得到充分认识,并且随着人口老龄化,需求在持续增加。虽然口腔黏膜在治疗结果中起着关键作用,但其相关的生物力学尚未得到充分理解。本文利用现有文献,对黏膜生物力学的四个方面进行了批判性综述,包括静态、动态、体积和相互作用响应,分别通过其弹性、粘性/渗透性、表观泊松比和摩擦系数来解释。对实证研究和数值模型进行了分析和比较,以获得解剖学和生理学见解。此外,还探讨了此类生物力学知识在黏膜上的临床应用,以解决一些关键问题,包括组织重塑的刺激因素(组织间隙流体静压)、压力疼痛阈值、组织可位移性和剩余骨吸收。通过这篇综述,讨论了黏膜生物力学的现状及其临床意义,以满足未来的研究兴趣,包括临床应用、计算建模、设计优化和假体制造。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4747/4535403/5796d540f271/rsif20150325-g5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4747/4535403/59903a2e44fd/rsif20150325-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4747/4535403/057d5115773d/rsif20150325-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4747/4535403/776590e86e87/rsif20150325-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4747/4535403/4ff57a9726dd/rsif20150325-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4747/4535403/5796d540f271/rsif20150325-g5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4747/4535403/59903a2e44fd/rsif20150325-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4747/4535403/057d5115773d/rsif20150325-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4747/4535403/776590e86e87/rsif20150325-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4747/4535403/4ff57a9726dd/rsif20150325-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4747/4535403/5796d540f271/rsif20150325-g5.jpg

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