Evidence map›Paper›PMID 42187657›Full record

ArticleDentistry journal2026

Development of Micro-CT-Based Anatomically Accurate Tooth Model for Finite Element Analysis of Composite Restorations.

Tamás Tarjányi, Balázs Szabó, Lívia Vásárhelyi, Tibor Nagy, Ferenc Farkas, Attila Nagy

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Article in Dentistry journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Tamás TarjányiDepartment of Medical Physics and Informatics, University of Szeged, Korányi Fasor 9, 6720 Szeged, Hungary.ORCID 0000-0002-9481-5977
Balázs SzabóDepartment of Periodontology, Faculty of Dentistry, University of Szeged, Tisza L. Körút 64-66, 6720 Szeged, Hungary.
Lívia VásárhelyiInterdisciplinary Excellence Centre, Department of Applied and Environmental Chemistry, University of Szeged, Rerrich Béla Tér 1, 6720 Szeged, Hungary.ORCID 0000-0001-8943-9500
Tibor NagyELI ALPS, ELI-HU Non-Profit Ltd., Wolfgang Sandner u. 3, 6728 Szeged, Hungary.
Ferenc FarkasDepartment of Mechanical Engineering, Faculty of Engineering, University of Szeged, Mars Tér. 7, 6724 Szeged, Hungary.ORCID 0000-0003-4508-7480
Attila NagyDepartment of Medical Physics and Informatics, University of Szeged, Korányi Fasor 9, 6720 Szeged, Hungary.ORCID 0000-0002-4320-712X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFinite element analysis (FEA) has become an important tool in restorative dentistry for investigating stress distribution in teeth and dental restorations. However, the accuracy of such analyses strongly depends on the anatomical fidelity of the underlying tooth models, which is often limited in simplified geometries. The objective of this study was to develop an anatomically accurate three-dimensional tooth model based on micro-computed tomography (micro-CT) data and to evaluate the biomechanical behaviour of sound and composite-restored teeth under clinically relevant loading conditions.

methodsA human tooth was scanned using high-resolution micro-CT imaging. Enamel, dentin, and pulp were segmented and reconstructed into three-dimensional geometries, which were further refined using computer-aided design (CAD) tools. The resulting models were imported into a finite element environment for mechanical simulation. Static loading conditions were applied to both sound and composite-restored tooth models, including a vertical load of 200 N and an oblique load of 200 N applied at a 45° angle to the tooth crown. Von Mises stress distributions were evaluated to characterize stress concentration patterns.

resultsFinite element simulations revealed maximum von Mises stresses of approximately 140 MPa, predominantly localized in the coronal regions of the tooth. Oblique loading produced increased and more asymmetric stress concentrations than vertical loading, particularly in the anterior and posterior crown regions. While overall stress distributions were comparable between sound and composite-restored teeth, locally increased stress levels were observed in restored models under oblique loading.

conclusionsAnatomically accurate, micro-CT-based finite element tooth models provide a robust framework for biomechanical analysis in restorative dentistry. The presented workflow enables detailed evaluation of stress distribution in composite-restored teeth and may contribute to improved understanding and optimization of restorative materials and treatment strategies.

Indexed as

3D CADCT scanfinite element analysismechanical stresssimulationteeth

Identifiers

PMID42187657
PMCPMC13206225

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.