Evidence map›Paper›PMID 37456726›Full record

ArticleFrontiers in bioengineering and biotechnology2023

Real-time simulation of the transplanted tooth using model order reduction.

Pierre Lahoud, Arif Badrou, Maxime Ducret, Jean-Christophe Farges, Reinhilde Jacobs, Aline Bel-Brunon, Mostafa EzEldeen, Nawfal Blal, Raphaël Richert

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 40% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

9 authors at 6 institutions in 3 countries.

Pierre LahoudOMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, Leuven, Belgium.
Arif BadrouLaboratoire de Mécanique Des Contacts Et Structures, CNRS/INSA, Villeurbanne, France.
Maxime DucretLaboratoire de Biologie Tissulaire Et Ingénierie Thérapeutique, UMR5305 CNRS/UCBL, Lyon, France.
Jean-Christophe FargesLaboratoire de Biologie Tissulaire Et Ingénierie Thérapeutique, UMR5305 CNRS/UCBL, Lyon, France.
Reinhilde JacobsOMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, Leuven, Belgium.
Aline Bel-BrunonLaboratoire de Mécanique Des Contacts Et Structures, CNRS/INSA, Villeurbanne, France.
Mostafa EzEldeenOMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, Leuven, Belgium.
Nawfal BlalLaboratoire de Mécanique Des Contacts Et Structures, CNRS/INSA, Villeurbanne, France.
Raphaël RichertLaboratoire de Mécanique Des Contacts Et Structures, CNRS/INSA, Villeurbanne, France.
Centre National de la Recherche Scientifique · FRKU Leuven · BELaboratoire de Mécanique des Contacts et des Structures · FRBiologie Tissulaire et Ingénierie Thérapeutique · FRHospices Civils de Lyon · FRKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The biomechanics of transplanted teeth remain poorly understood due to a lack of models. In this context, finite element (FE) analysis has been used to evaluate the influence of occlusal morphology and root form on the biomechanical behavior of the transplanted tooth, but the construction of a FE model is extremely time-consuming. Model order reduction (MOR) techniques have been used in the medical field to reduce computing time, and the present study aimed to develop a reduced model of a transplanted tooth using the higher-order proper generalized decomposition method. The FE model of a previous study was used to learn von Mises root stress, and axial and lateral forces were used to simulate different occlusions between 75 and 175N. The error of the reduced model varied between 0.1% and 5.9% according to the subdomain, and was the highest for the highest lateral forces. The time for the FE simulation varied between 2.3 and 7.2 h. In comparison, the reduced model was built in 17s and interpolation of new results took approximately 2.10

Indexed as

finite element analysismachine learningmodel order reduction (MOR)real-time simulationtooth autotransplantation

Identifiers

PMID37456726
PMCPMC10339382
OpenAlexW4382721916

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.