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Cited by 828

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Application of subject-specific adaptive mechanical loading for bone healing in a mouse tail vertebral defect

Open access
Malhotra, Angad, Walle, Matthias, Paul, Graeme R., Kuhn, Gisela A., Müller, Ralph·2021·Scientific Reports
DOI 10.1038/s41598-021-81132-8
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Abstract

Methods to repair bone defects arising from trauma, resection, or disease, continue to be sought after. Cyclic mechanical loading is well established to influence bone (re)modelling activity, in which bone formation and resorption are correlated to micro-scale strain. Based on this, the application of mechanical stimulation across a bone defect could improve healing. However, if ignoring the mechanical integrity of defected bone, loading regimes have a high potential to either cause damage or be ineffective. This study explores real-time finite element (rtFE) methods that use three-dimensional structural analyses from micro-computed tomography images to estimate effective peak cyclic loads in a subject-specific and time-dependent manner. It demonstrates the concept in a cyclically loaded mouse caudal vertebral bone defect model. Using rtFE analysis combined with adaptive mechanical loading, mouse bone healing was significantly improved over non-loaded controls, with no incidence of vertebral fractures. Such rtFE-driven adaptive loading regimes demonstrated here could be relevant to clinical bone defect healing scenarios, where mechanical loading can become patient-specific and more efficacious. This is achieved by accounting for initial bone defect conditions and spatio-temporal healing, both being factors that are always unique to the patient.

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Metadata

Authors
Malhotra, A., Walle, M., Paul, G. R., Kuhn, G. A., & Müller, R.
Venue
Scientific Reports
Publisher
Springer Science and Business Media LLC
Published
2021-01-21
Volume
11
Issue
1
Pages
1861-1861
ISSN
2045-2322 (ISSN-L)
DOI
10.1038/s41598-021-81132-8
OpenAlex
W3124177967
Cited by
828
References
36
FWCI
96.82
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Application of subject-specific adaptive mechanical loading for bone healing in a mouse tail vertebral defect. https://app.cochat.ai/papers/10.1038/s41598-021-81132-8
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Malhotra, A., Walle, M., Paul, G. R., Kuhn, G. A., & Müller, R. (2021). Application of subject-specific adaptive mechanical loading for bone healing in a mouse tail vertebral defect. Scientific Reports. https://doi.org/10.1038/s41598-021-81132-8

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.