The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Skeletal structural adaptations to mechanical usage (SATMU): 1. Redefining Wolff's Law: The bone modeling problem
Abstract
From the nature of a bone's endload and its local surface strains, the theory computes a modeling operator, Gamma (Γ), that predicts whether mechanical factors will cause lamellar bone modeling drifts, and where and of what kind. A given mechanical bone strain history then provides a separate modeling rate function, \documentclass{article}\pagestyle{empty}\begin{document}$ \dot M $\end{document}, to specify the rate of such modeling drifts as fractions of the largest possible ones. Multiplying the two functions, e.g., Γ · \documentclass{article}\pagestyle{empty}\begin{document}$ \dot M $\end{document}, then predicts mechanically controlled bone modeling responses for cortical and trabecular bone, both quantitatively and qualitatively. The theory correctly predicts each of the 6 known “principal adaptations” of lamellar bone, which provide a critical test of any such theory for this organ. The theory accounts for biologic, biomechanical, and clinical‐pathologic knowledge not available in Wolff's time nor accounted for by most biomechanicians since. Existing proven methods can provide all numerical data needed to satisfy the theory's mathematical equations and already suggest provisional values for most of them. Its originator views the theory as the kernel of more and better theories to come rather than a finished work, a kernel that suggests a new and in some respects novel logical framework for analysing the problems, and a kernel that invites critique, refinement, and/or exploitation by others.
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Citations
Cites
Tetracycline-based histological analysis of bone remodeling
Frost, H. M. (1969) · Calcified Tissue Research · doi:10.1007/bf02058664 · Cited by 1,111
Self-citationERIKSEN, E. F. (1986) · Endocrine Reviews · doi:10.1210/edrv-7-4-379 · Cited by 601
Aging of bone tissue: mechanical properties
Burstein, A., Reilly, D., & Martens, M. (1976) · The Journal of Bone & Joint Surgery · doi:10.2106/00004623-197658010-00015 · Cited by 569
Mechanical loading histories and cortical bone remodeling
Carter, D. R. (1984) · Calcified Tissue International · doi:10.1007/bf02406129 · Cited by 490
Quantitative histological data on disuse osteoporosis: Comparison with biological data
Minaire, P., Meunier, P., Edouard, C., Bernard, J., Courpron, P., & Bourret, J. (1974) · Calcified Tissue Research · doi:10.1007/bf02547214 · Cited by 435
Cited by
Compston, J. E., McClung, M. R., & Leslie, W. D. (2019) · The Lancet · doi:10.1016/s0140-6736(18)32112-3 · Cited by 2,449
Pludowski, P., Holick, M. F., Pilz, S., Wagner, C. L., Hollis, B. W., Grant, W. B., Shoenfeld, Y., Lerchbaum, E., Llewellyn, D. J., Kienreich, K., et al. (2013) · Autoimmunity Reviews · doi:10.1016/j.autrev.2013.02.004 · Cited by 836
Verschueren, S. M., Roelants, M., Delecluse, C., Swinnen, S., Vanderschueren, D., & Boonen, S. (2004) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.0301245 · Cited by 833
The aging of Wolff’s “law”: Ontogeny and responses to mechanical loading in cortical bone
Pearson, O. M., & Lieberman, D. E. (2004) · American Journal of Physical Anthropology · doi:10.1002/ajpa.20155 · Cited by 745
From space to Earth: Advances in human physiology from 20 years of bed rest studies (1986–2006)
Pavy-Le Traon, A., Heer, M., Narici, M. V., Rittweger, J., & Vernikos, J. (2007) · European Journal of Applied Physiology · doi:10.1007/s00421-007-0474-z · Cited by 658
Metadata
- Authors
- Frost, H. M.
- Venue
- The Anatomical Record
- Publisher
- Wiley
- Published
- 1990-04
- Volume
- 226
- Issue
- 4
- Pages
- 403-413
- ISSN
- 0003-276X (ISSN-L)
- 1097-0185
- OpenAlex
- W2087733742
- Cited by
- 956
- References
- 5
- FWCI
- 6.21
- Type
- journal article
- Language
- en
- Open access
- closed
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- Frost, H. M. (1990). Skeletal structural adaptations to mechanical usage (SATMU): 1. Redefining Wolff's Law: The bone modeling problem. The Anatomical Record. https://doi.org/10.1002/ar.1092260402
Data sources
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.