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Home / Equine Research Bank / Curr Osteoporos Rep / Advancements in Subchondral Bone Biomechanics: Insights from...
Current osteoporosis reports2024; doi: 10.1007/s11914-024-00886-y

Advancements in Subchondral Bone Biomechanics: Insights from Computed Tomography and Micro-Computed Tomography Imaging in Equine Models.

Abstract: This review synthesizes recent advancements in understanding subchondral bone (SCB) biomechanics using computed tomography (CT) and micro-computed tomography (micro-CT) imaging in large animal models, particularly horses. Results: Recent studies highlight the complexity of SCB biomechanics, revealing variability in density, microstructure, and biomechanical properties across the depth of SCB from the joint surface, as well as at different joint locations. Early SCB abnormalities have been identified as predictive markers for both osteoarthritis (OA) and stress fractures. The development of standing CT systems has improved the practicality and accuracy of live animal imaging, aiding early diagnosis of SCB pathologies. While imaging advancements have enhanced our understanding of SCB, further research is required to elucidate the underlying mechanisms of joint disease and articular surface failure. Combining imaging with mechanical testing, computational modelling, and artificial intelligence (AI) promises earlier detection and better management of joint disease. Future research should refine these modalities and integrate them into clinical practice to enhance joint health outcomes in veterinary and human medicine.
© 2024. The Author(s).
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Publication Date: 2024-09-14 PubMed ID: 39276168PubMed Central: 8403126DOI: 10.1007/s11914-024-00886-yGoogle Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

This research review discusses recent progress in understanding the biomechanics of subchondral bone, using computed tomography and micro-computed tomography imaging in large animal models like horses. The paper emphasizes the importance of continued research to improve early detection and treatment of joint diseases.

Research Insights

  • The research delves into the recent advancements in understanding the biomechanics of the subchondral bone (SCB), a region of bone just below the cartilage in the joints, using imaging techniques like computed tomography (CT) and micro-computed tomography (micro-CT).
  • The study is particularly focused on large animal models, specifically horses, due to similar size and structure of their joints to humans.
  • Findings from recent research indicate that the SCB biomechanics are complex, with variability in density, microstructure, and biomechanical properties across different depths from the joint surface and at different joint locations.

Subchondral Bone Abnormalities as Predictive Markers

  • The research points out that early abnormalities in the SCB are suggestive markers for both osteoarthritis (OA) and stress fractures. The SCB is under constant mechanical strain, which can cause it to reshape or degenerate over time, leading to conditions like OA or fractures.
  • The study underlines the importance of understanding these early changes to predict, diagnose, and manage joint diseases in their initial phase.

Advancements in Imaging Techniques

  • The presence of standing CT systems, which allow CT scanning while the horse is standing, has aided in the early diagnosis of SCB pathologies by improving the accuracy and practicality of live animal imaging.
  • Though these advancements in imaging technology have significantly improved our understanding of SCB, the research emphasizes the necessity of additional research to fully understand the underlying mechanisms of joint disease and failure of the articular surface, which is the cartilage-covered end of the bones where they come into contact to form a joint.

Future Research Directions

  • The paper suggests that combining imaging with mechanical testing, computational modeling, and artificial intelligence (AI) could enhance the early detection and treatment of joint disease.
  • Future research, according to the paper, should focus on refining these techniques and integrating them into clinical practice to improve joint health outcomes in both veterinary and human medicine.

Cite This Article

APA
Malekipour F, Whitton RC, Lee PV. (2024). Advancements in Subchondral Bone Biomechanics: Insights from Computed Tomography and Micro-Computed Tomography Imaging in Equine Models. Curr Osteoporos Rep. https://doi.org/10.1007/s11914-024-00886-y

Publication

Current osteoporosis reports
ISSN: 1544-2241
NlmUniqueID: 101176492
Country: United States
Language: English

Researcher Affiliations

Malekipour, Fatemeh
  • Department of Biomedical Engineering, University of Melbourne, Parkville, VIC, 3010, Australia. fmal@unimelb.edu.au.
Whitton, R Chris
  • Equine Centre, Department of Veterinary Clinical Sciences, University of Melbourne, Werribee, VIC, 3030, Australia.
Lee, Peter Vee-Sin
  • Department of Biomedical Engineering, University of Melbourne, Parkville, VIC, 3010, Australia.

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