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使用三种不同的种植体-基台界面(平台转换和非平台转换基台)评估牙种植体及其周围的应力分布:三维有限元分析。

Evaluation of stress distribution in and around dental implants using three different implant-abutment interfaces with platform-switched and non-platform-switched abutments: A three-dimensional finite element analysis.

作者信息

Mitra Dipika, Gurav Prachi, Rodrigues Silvia, Khobragade Bela, Mahajan Amruta

机构信息

Department of Periodontology, TPCT's Terna Dental College & Hospital, Navi Mumbai, Maharashtra, India.

Department of Periodontics and Implantology Terna Dental College & Hospital, Navi Mumbai, Maharashtra, India.

出版信息

J Dent Res Dent Clin Dent Prospects. 2023 Fall;17(4):256-264. doi: 10.34172/joddd.2023.40723. Epub 2023 Dec 30.

DOI:10.34172/joddd.2023.40723
PMID:38584996
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10998169/
Abstract

BACKGROUND

A key factor for the success or failure of an implant is how the stresses are transferred to the surrounding bone. The implant‒abutment connection (IAC) is paramount for implant success. The purpose of this finite element analysis (FEA) study was to evaluate the stress distribution in and around three different implant‒abutment interfaces with platform-switched and platform-matched abutments using the finite element method (FEM).

METHODS

Three distinct types of IAC were selected: tri-channel internal connection, conical connection, and internal hex connection. Six models were generated, three in platform-switched and three in non-platform-switched configuration. Computer-Aided Three-Dimensional Interactive Application (CATIA) V5 R20 software was used to generate virtual models of the implants and the mandible. The models were transferred to Analysis of Systems (ANSYS) 15.0 software, in which the models were meshed and underwent FEA.

RESULTS

On the crestal bone, the highest von Mises stresses in platform-switched abutments were noticed in the internal hex implant‒abutment system (370 MPa), followed by the tri-channel implant‒abutment system (190 MPa) and conical implant‒abutment system (110 MPa). On the implant and the abutment screw, the highest von Mises stresses were observed in the internal hex implant‒abutment system, followed by the conical implant abutment system and tri-channel implant‒abutment system. Platform-switched implants had a more favorable stress distribution on crestal bone.

CONCLUSION

Within the constraints of the current study, the internal hex connection exhibited the highest stress. In contrast, the conical abutment connection with platform switching configuration had more favorable stress distribution in crestal bone than other implant abutment systems.

摘要

背景

种植体成败的一个关键因素是应力如何传递至周围骨组织。种植体与基台的连接(IAC)对种植成功至关重要。本有限元分析(FEA)研究的目的是使用有限元方法(FEM)评估三种不同的种植体 - 基台界面(采用平台转换和平台匹配基台)及其周围的应力分布。

方法

选择三种不同类型的IAC:三通道内部连接、锥形连接和内六角连接。生成六个模型,三个为平台转换配置,三个为非平台转换配置。使用计算机辅助三维交互式应用程序(CATIA)V5 R20软件生成种植体和下颌骨的虚拟模型。将模型转移至系统分析(ANSYS)15.0软件,在该软件中对模型进行网格划分并进行有限元分析。

结果

在牙槽嵴骨上,平台转换基台中,内六角种植体 - 基台系统的等效应力最高(370MPa),其次是三通道种植体 - 基台系统(190MPa)和锥形种植体 - 基台系统(110MPa)。在种植体和基台螺钉上,内六角种植体 - 基台系统的等效应力最高,其次是锥形种植体 - 基台系统和三通道种植体 - 基台系统。平台转换种植体在牙槽嵴骨上具有更有利的应力分布。

结论

在本研究的限制范围内,内六角连接表现出最高的应力。相比之下,具有平台转换配置的锥形基台连接在牙槽嵴骨中的应力分布比其他种植体 - 基台系统更有利。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/341f/10998169/83aa97866597/joddd-17-256-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/341f/10998169/85062a7e3fe4/joddd-17-256-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/341f/10998169/36a4d75a35ef/joddd-17-256-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/341f/10998169/4695338c0e6e/joddd-17-256-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/341f/10998169/5477d850a91c/joddd-17-256-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/341f/10998169/1275916d2d60/joddd-17-256-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/341f/10998169/d0373d5b8bb3/joddd-17-256-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/341f/10998169/50ecced79494/joddd-17-256-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/341f/10998169/c67434d30d51/joddd-17-256-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/341f/10998169/83aa97866597/joddd-17-256-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/341f/10998169/85062a7e3fe4/joddd-17-256-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/341f/10998169/36a4d75a35ef/joddd-17-256-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/341f/10998169/4695338c0e6e/joddd-17-256-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/341f/10998169/5477d850a91c/joddd-17-256-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/341f/10998169/1275916d2d60/joddd-17-256-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/341f/10998169/d0373d5b8bb3/joddd-17-256-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/341f/10998169/50ecced79494/joddd-17-256-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/341f/10998169/c67434d30d51/joddd-17-256-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/341f/10998169/83aa97866597/joddd-17-256-g009.jpg

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