Evidence map›Paper›PMID 31624317›Full record

ArticleScientific reports2019

Numerical Simulation of Mandible Bone Remodeling under Tooth Loading: A Parametric Study.

Kangning Su, Li Yuan, Jie Yang, Jing Du

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

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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

4 authors.

Kangning SuDepartment of Mechanical Engineering, Pennsylvania State University, University Park, PA, USA.
Li YuanDepartment of Stomatology Center, Shenzhen People's Hospital, 2nd Clinical Medical College of Jinan University, Shenzhen, China.
Jie YangDepartment of Oral Maxillofacial Pathology, Medicine and Surgery, Temple University, Philadelphia, PA, USA.
Jing DuDepartment of Mechanical Engineering, Pennsylvania State University, University Park, PA, USA. jingdu@psu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone adapts to the change of mechanical stimulus by bone remodeling activities. A number of numerical algorithms have been developed to model the adaptive bone remodeling under mechanical loads for orthopedic and dental applications. This paper examines the effects of several model parameters on the computed apparent bone density in mandible under normal chewing and biting forces. The density change rate was based on the strain energy density per unit mass. The algorithms used in this study containing an equilibrium zone (lazy zone) and saturated values of density change rate provides certain stability to result in convergence without discontinuous checkerboard patterns. The parametric study shows that when different boundary conditions were applied, the bone density distributions at convergence were very different, except in the vicinity of the applied loads. Compared with the effects of boundary conditions, the models are less sensitive to the choice of initial density values. Several models starting from different initial density values resulted in similar but not exactly the same bone density distribution at convergence. The results also show that higher reference value of mechanical stimulus resulted in lower average bone density at convergence. Moreover, the width of equilibrium zone did not substantially affect the average density at convergence. However, with increasing width, the areas with the highest and the lowest bone density areas were all reduced. The limitations of the models and challenges for future work were discussed for the better agreement between the computed results and the in vivo data.

Indexed as

Models, DentalAlgorithmsBiomechanical PhenomenaBite ForceBone DensityBone RemodelingComputer SimulationCone-Beam Computed TomographyFinite Element AnalysisHumansMandibleMasticationStress, MechanicalTooth

Identifiers

PMID31624317
PMCPMC6797806

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