Evidence map›Paper›PMID 41447824›Full record

ArticleInternational dental journal2026

Combining 3D Multi-Object Reconstruction with Finite Element Analysis for Accurate Dental Modelling and Restoration.

Rawan N AlKahtani, Yazan M Allawi, Ghadah M Aladhyani, Raghad A Altassan, Sara S AlShalawi, Tamer M Nassef

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International dental journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rawan N AlKahtaniDepartment of Clinical Dental Sciences, College of Dentistry, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. Electronic address: rnalkahtani@pnu.edu.sa.
Yazan M AllawiDepartment of Electrical Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. Electronic address: ymallawi@pnu.edu.sa.
Ghadah M AladhyaniDepartment of Clinical Dental Sciences, College of Dentistry, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Raghad A AltassanDepartment of Clinical Dental Sciences, College of Dentistry, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Sara S AlShalawiDepartment of Clinical Dental Sciences, College of Dentistry, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Tamer M NassefFaculty of Computer Sciences, October University of Modern Sciences and Arts (MSA), 6th of October City, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION AND

aimsThis study present a novel approach to dental digital modelling that combines 3D multi-object reconstruction with Finite Element Modelling (FEM) to create anatomically accurate and biomechanically stable dental models. The proposed approach overcomes limitations of traditional imaging techniques, such as resolution constraints, artifacts, noise, and poor soft tissue contrast, enabling precise analysis of stress distribution and material behaviour.

methodsA 3D model of a right maxillary central incisor (tooth no. 11) was developed and adapted into 4 variations receiving various prosthetic treatments: fibre post, resin core, and lithium disilicate crown (Model A); fibre post, resin core, and monolithic zirconia crown (Model B); lithium disilicate endocrown (Model C); and monolithic zirconia endocrown (Model D). Models and prosthetic treatments were created in accordance to dimensions reported in the literature.

resultsPreliminary Finite Element Analyses (FEAs) were performed to evaluate the mechanical behaviour and structural integrity of the models. Under a static load of 100 N applied at a 45° angle, the simulations revealed no significant deformations or irregular stress concentrations. Model A consisted of 33,235 nodes and 19,718 elements, while the simpler design of Model C reduced computational demands to 28,660 nodes and 17,253 elements. Monolithic zirconia, with an elastic modulus of 202,767 MPa, demonstrated superior structural stability across all simulations.

conclusionBy integrating evidence-based material and structural properties, our approach consistently produces semi-realistic models with adequate mesh density, enabling accurate representation of oral dynamics and precise force transmission across model components. CLINICAL RELEVANCE: These findings suggest that anatomically accurate dental models generated through advanced digital modelling and analysed using FEA can realistically simulate occlusal forces, offering a reliable platform for assessing new therapeutic dental approaches and improve upon existing treatment methods to optimise clinical outcomes and patient satisfaction.

Indexed as

Dental Prosthesis DesignDental Restoration, PermanentFinite Element AnalysisImaging, Three-DimensionalModels, DentalComputer-Aided DesignCrownsDental PorcelainDental Stress AnalysisHumansIncisorPost and Core TechniqueZirconiumDental Porcelainlithia disilicateZirconiumzirconium oxide3D multi-object reconstructionBiomechanical behaviourDental modelsDigital modellingFinite element analysisFinite element modelling

Identifiers

PMID41447824
PMCPMC12797058

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.