Suppr超能文献

牙体修复深度、窝洞内部角度和材料特性对磨牙受力的生物力学影响。

The influence of dental restoration depth, internal cavity angle, and material properties on biomechanical resistance of a treated molar tooth.

机构信息

School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW, Australia.

SDI Limited, Bayswater, Melbourne, VIC, Australia; Faculty of Dentistry, University of São Paulo, São Paulo, SP, Brazil.

出版信息

J Mech Behav Biomed Mater. 2022 Sep;133:105305. doi: 10.1016/j.jmbbm.2022.105305. Epub 2022 Jun 6.

Abstract

OBJECTIVES

To assess the hypotheses that a restored tooth structure for a class II occlusal-distal (OD) cavity can be reinforced by optimizing the cavity geometry and choosing composites with adequate mechanical properties.

METHODS

A human maxillary molar tooth was scanned, and segmented. The 2D profiles of dentin and enamel were drawn and imported to ABAQUS software. Eighteen restored tooth models with different cavity occlusal depths (OcDs) and internal cavity angles were developed. A semi-circular stone part was used to apply contact loads to the restored tooth model. After setting up the required interactions and boundary conditions, a written Python code was used to automatically assign a wide range of elastic moduli, from 2 GPa to 26 GPa, to the composite restorations, and assign constant material properties to the enamel and dentine. For simplicity, the behaviour of the mechanical material was postulated homogeneous and elastic, while the FE analyses were linearly carried out in this study. Also, the code enabled the FEA software to conduct the stress analyses, determine maximum principal stresses, and record the obtained results.

RESULTS

The internal cavity angle formed between the mesial wall and the pulpal floor of the cavity significantly changed the peak maximum principal stress both in the enamel and restoration. The peak stress concentrations were observed mostly at the enamel-restoration interface, with an almost perpendicular orientation to this interface. Regarding the effect of occlusal cavity depth (OcD), the model with the shallowest cavity (OcD = 1.5 mm) represented greater resistance to applied loads than the model with deeper cavities (OcD = 2.0 mm and OcD 2.5 mm). The composite modulus (CM) in the range of 10-18 GPa reduced the maximum principal stress concentrations in the enamel. The lowest result for maximum principal stress was observed in the model with OcD = 1.5 mm, CM = 10 GPa and internal cavity angles = 100°, which was the strongest model against contact loads.

SIGNIFICANCE

Class II OD cavities with optimal geometry have reduced induced stress levels, thus being able to be more mechanically robust against contact load transmitted by a stone. Cavity geometry designs with obtuse (more than 90°) internal cavity angles were significantly efficient in minimizing peak stress concentrations. The results indicated that for the model with obtuse internal cavity angles, choosing a composite with optimised properties can diminish stress, particularly at the tooth-restoration interface. Furthermore, the shallowest the cavity, the sturdier the restoration was, especially when the interface tooth-restoration laid on enamel and not on dentine.

摘要

目的

评估以下假设,即通过优化窝洞几何形状和选择具有足够机械性能的复合材料,可以增强 II 类牙合面-远中(OD)窝洞的修复牙体结构。

方法

对一颗上颌磨牙进行扫描和分割。绘制牙本质和牙釉质的 2D 轮廓,并将其导入 ABAQUS 软件。开发了 18 种具有不同窝洞牙合深度(OcD)和内部窝洞角度的修复牙模型。使用半圆形石部分将接触载荷施加到修复牙模型上。在设置所需的相互作用和边界条件后,使用编写的 Python 代码自动将广泛的弹性模量(从 2GPa 到 26GPa)分配给复合材料修复体,并为牙釉质和牙本质赋予恒定的材料特性。为简单起见,假设机械材料的行为是均匀且弹性的,而在本研究中仅进行线性有限元分析。此外,该代码使 FEA 软件能够进行应力分析,确定最大主应力,并记录获得的结果。

结果

窝洞腔的近中壁和牙髓腔底部之间形成的内部窝洞角度显著改变了牙釉质和修复体中的最大主应力峰值。最大的应力集中主要出现在牙釉质-修复体界面处,几乎与该界面垂直。关于牙合腔深度(OcD)的影响,最浅的腔(OcD=1.5mm)模型比最深的腔(OcD=2.0mm 和 OcD=2.5mm)模型更能抵抗施加的载荷。在 10-18GPa 范围内的复合材料模量(CM)降低了牙釉质中的最大主应力集中。在 OcD=1.5mm、CM=10GPa 和内部窝洞角度=100°的模型中观察到最大主应力的最低结果,该模型是最能抵抗接触载荷的模型。

意义

具有最佳几何形状的 II 类 OD 窝洞可降低诱导的应力水平,因此能够更有效地抵抗由石器传递的接触载荷。钝角(大于 90°)的内部窝洞角度的窝洞几何设计可显著有效降低峰值应力集中。结果表明,对于钝角内部窝洞角度的模型,选择具有优化性能的复合材料可以减少应力,特别是在牙-修复体界面处。此外,窝洞越浅,修复体越坚固,尤其是当牙-修复体界面位于牙釉质上而不是牙本质上时。

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