Evidence map›Paper›PMID 41202070›Full record

ArticlePloS one2025

Orthotropic reconstruction and characterization of bone tissues through a visco-plasto-damage model.

Gaia Marangon, Riccardo Fincato, Emanuele Luigi Carniel, Ilaria Toniolo, Alice Berardo, Gianluca Mazzucco

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Article in PloS one, 2025. 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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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Gaia MarangonDepartment of Mathematics, University of Padova, Padova, Italy.
Riccardo FincatoDepartment of Civil, Environmental and Architectural Engineering, University of Padova, Padova, Italy.
Emanuele Luigi CarnielDepartment of Industrial Engineering, University of Padova, Padova, Italy.
Ilaria TonioloDepartment of Industrial Engineering, University of Padova, Padova, Italy.
Alice BerardoDepartment of Industrial Engineering, University of Padova, Padova, Italy.ORCID https://orcid.org/0000-0002-2346-0507
Gianluca MazzuccoDepartment of Civil, Environmental and Architectural Engineering, University of Padova, Padova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents a robust numerical framework for modeling bone tissue mechanics, integrating an orthotropic visco-plasto-damage model with high-resolution bone geometries derived from computed tomography (CT) scans. The model, implemented within a finite element environment, captures essential bone characteristics, including orthotropic elasticity, viscoplasticity, and progressive damage accumulation. To enhance computational efficiency, an octree-based algorithm has been employed to assign local orthotropic axes based on CT data to enable accurate representation of bone mechanical response across complex geometries. Model calibration, based on experimental data from the literature, supported reliable simulations of cortical and trabecular bone, with validation across a range of loading conditions. The practical efficacy of this approach has been demonstrated through a dental implant case study, wherein stress relaxation, plastic deformation, and damage progression within bone tissue were analyzed. Results indicated a pronounced influence of accurate material orientation on the predicted stress distributions, underscoring the necessity of precise orientation for valid biomechanical simulations. The proposed modeling framework may significantly advance the simulation of bone tissue under realistic physiological conditions, with applications in implant design and evaluation. This method provides a scalable solution for simulating orthotropic materials in biomechanical contexts, combining high-fidelity geometrical reconstruction with a suitable constitutive model, thereby offering a valuable tool for the development and optimization of biomedical implants.

Indexed as

Bone and BonesModels, BiologicalAlgorithmsBiomechanical PhenomenaComputer SimulationDental ImplantsFinite Element AnalysisHumansStress, MechanicalTomography, X-Ray ComputedDental Implants

Identifiers

PMID41202070
PMCPMC12594376

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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.