Advancements in Subchondral Bone Biomechanics: Insights from Computed Tomography and Micro-Computed Tomography Imaging in Equine Models.
Authors: Malekipour, Whitton, Lee
Journal: Current osteoporosis reports
Summary
# Editorial Summary Subchondral bone provides critical mechanical support to articular cartilage, yet its role in joint disease remains incompletely understood—a gap that Malekipour, Whitton and Lee address through a comprehensive review of CT and micro-CT imaging advances in equine models. The authors synthesise findings demonstrating that subchondral bone exhibits considerable variation in density, microstructure and biomechanical properties both across its depth and between anatomical locations, with emerging evidence that early structural abnormalities can predict both osteoarthritis and stress fracture development. Standing CT systems represent a significant practical breakthrough, enabling in-vivo imaging of live horses with improved accuracy compared to traditional methods and facilitating earlier detection of pathological changes before clinical signs manifest. For equine practitioners, the key implication is that subchondral bone abnormalities may serve as diagnostic biomarkers worthy of closer investigation during routine imaging protocols, potentially opening earlier intervention windows before irreversible cartilage damage occurs. Whilst imaging capability has advanced substantially, the authors emphasise that integrating these modalities with biomechanical testing, computational modelling and artificial intelligence into clinical practice remains a priority to translate imaging findings into actionable management strategies and ultimately improve joint health outcomes.
Read the full abstract on PubMed
Practical Takeaways
- •Standing CT technology now enables non-invasive early detection of subchondral bone changes before clinical lameness appears, allowing for preventive intervention strategies.
- •SCB abnormalities are emerging as valuable biomarkers for predicting OA and fracture risk, suggesting monitoring these changes could guide management decisions for at-risk horses.
- •Combining advanced imaging with AI tools promises to move from reactive treatment toward predictive medicine, potentially extending athletic careers and improving long-term soundness outcomes.
Key Findings
- •Subchondral bone demonstrates significant variability in density, microstructure, and biomechanical properties across depth and joint location in equine models.
- •Early subchondral bone abnormalities serve as predictive markers for both osteoarthritis development and stress fracture occurrence.
- •Standing CT systems improve practicality and accuracy of live animal imaging for early diagnosis of subchondral bone pathologies.
- •Integration of imaging with mechanical testing, computational modelling, and artificial intelligence enhances potential for earlier detection and improved management of joint disease.