Advancements in Subchondral Bone Biomechanics: Insights from Computed Tomography and Micro-Computed Tomography Imaging in Equine Models
- Open Access
- 14-09-2024
- Computed Tomography
- REVIEW
- Authors
- Fatemeh Malekipour
- R. Chris Whitton
- Peter Vee-Sin Lee
- Published in
- Current Osteoporosis Reports | Issue 6/2024
Abstract
Purpose of Review
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.
Recent Findings
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.
Summary
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.
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- Title
- Advancements in Subchondral Bone Biomechanics: Insights from Computed Tomography and Micro-Computed Tomography Imaging in Equine Models
- Authors
-
Fatemeh Malekipour
R. Chris Whitton
Peter Vee-Sin Lee
- Publication date
- 14-09-2024
- Publisher
- Springer US
- Keywords
-
Computed Tomography
Computed Tomography
Stress Fracture
Osteoarthrosis
Osteoarthrosis
Artificial Intelligence
Digital Volume Tomography
Digital Volume Tomography - Published in
-
Current Osteoporosis Reports / Issue 6/2024
Print ISSN: 1544-1873
Electronic ISSN: 1544-2241 - DOI
- https://doi.org/10.1007/s11914-024-00886-y
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