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Cited by 485

The DOI matches its Crossref record; 114 of the 114 references it cites were found in a registry or an index.

Bone fracture healing in mechanobiological modeling: A review of principles and methods

Open access
Ghiasi, Mohammad S., Chen, Jason, Vaziri, Ashkan, Rodriguez, Edward K., Nazarian, Ara·2017·Bone Reports
DOI 10.1016/j.bonr.2017.03.002
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Abstract

Bone fracture is a very common body injury. The healing process is physiologically complex, involving both biological and mechanical aspects. Following a fracture, cell migration, cell/tissue differentiation, tissue synthesis, and cytokine and growth factor release occur, regulated by the mechanical environment. Over the past decade, bone healing simulation and modeling has been employed to understand its details and mechanisms, to investigate specific clinical questions, and to design healing strategies. The goal of this effort is to review the history and the most recent work in bone healing simulations with an emphasis on both biological and mechanical properties. Therefore, we provide a brief review of the biology of bone fracture repair, followed by an outline of the key growth factors and mechanical factors influencing it. We then compare different methodologies of bone healing simulation, including conceptual modeling (qualitative modeling of bone healing to understand the general mechanisms), biological modeling (considering only the biological factors and processes), and mechanobiological modeling (considering both biological aspects and mechanical environment). Finally we evaluate different components and clinical applications of bone healing simulation such as mechanical stimuli, phases of bone healing, and angiogenesis.

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Metadata

Authors
Ghiasi, M. S., Chen, J., Vaziri, A., Rodriguez, E. K., & Nazarian, A.
Venue
Bone Reports
Publisher
Elsevier BV
Published
2017-06
Volume
6
Pages
87-100
ISSN
2352-1872 (ISSN-L)
DOI
10.1016/j.bonr.2017.03.002
OpenAlex
W2596835055
Cited by
485
References
114
FWCI
25.04
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Bone fracture healing in mechanobiological modeling: A review of principles and methods. https://app.cochat.ai/papers/10.1016/j.bonr.2017.03.002
The paper
Ghiasi, M. S., Chen, J., Vaziri, A., Rodriguez, E. K., & Nazarian, A. (2017). Bone fracture healing in mechanobiological modeling: A review of principles and methods. Bone Reports. https://doi.org/10.1016/j.bonr.2017.03.002

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.