Evidence map›Paper›PMID 32322609›Full record

ArticleBone reports2020

Nonlinear voxel-based finite element model for strength assessment of healthy and metastatic proximal femurs.

Amelie Sas, Nicholas Ohs, Esther Tanck, G Harry van Lenthe

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In one paragraph

Article in Bone reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Importance of Metastatic Lesion Location and Subject-Specificity in the Determination of Femoral Fracture Risk.International journal for numerical methods in biomedical engineering · 2026
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Amelie SasBiomechanics Section, KU Leuven, Leuven, Belgium.
Nicholas OhsInstitute for Biomechanics, ETH Zurich, Zurich, Switzerland.
Esther TanckOrthopaedic Research Laboratory, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, the Netherlands.
G Harry van LentheBiomechanics Section, KU Leuven, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonlinear finite element (FE) models can accurately quantify bone strength in healthy and metastatic femurs. However, their use in clinical practice is limited since state-of-the-art implementations using tetrahedral meshes involve a lot of manual work for which specific modelling software and engineering knowledge are required. Voxel-based meshes could enable the transition since they are robust and can be highly automated. Therefore, the aim of this work was to bridge the modelling gap between the tetrahedral and voxel-based approach. Specifically, we validated a nonlinear voxel-based FE method relative to experimental data from 20 femurs with and without artificial metastases that had been mechanically loaded until failure. CT scans of the femurs were segmented and automatically converted into a voxel-based mesh with hexahedral elements. Nonlinear material properties were implemented in an open-source linear voxel-based FE solver by adding an additional loop to the routine such that the material properties could be adapted after each increment. Bone strength, quantified as the maximum force in the force-displacement curve, was evaluated. The results were compared to a previously established nonlinear tetrahedral FE approach as well as to the experimentally measured bone strength. The voxel-based FE model predicted the experimental bone strength very well both for healthy (R

Indexed as

Bone metastasisBone strengthFinite element analysisHuman femursVoxel-based mesh

Identifiers

PMID32322609
PMCPMC7163060

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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.