AI-driven histologic analysis of human Achilles tendinopathy provides a roadmap to unravel pathogenesis
Authors' conclusion
Automated analysis of whole tendon sections refines conventional histopathologic scoring and predicts cellular and molecular changes found in tendinopathy.
Study context
- Population
- Human Achilles tendon samples, tendinopathic and normal controls
- Participants
- 15 vs 10
- Comparison
- Tendinopathic vs normal control Achilles tendon samples, scored by Bonar score and automated BonAIr score
- Tendinopathicn = 15
- Normal controln = 10reference
- Outcome
- Automated, operator-independent histologic score of human tendons (BonAIr score) vs Bonar score
Methodological detailscase-control histologic comparison, automated whole-section image analysis (QuPath)
- Case-control histologic comparison
- Automated whole-section image analysis (QuPath)
Main finding
As reported in the abstract
Histologic features, tendinopathy vs control
- Increased cell roundness, collagen disarrangement, ground substance and vascularity in tendinopathy with both Bonar and BonAIr scores
- Increased cellularity detected only by the BonAIr score
- Cellular and transcriptomic analyses corroborated tendinopathic shifts in all elements of the BonAIr score
- Elevated THY1/CD90 expression in tendinopathy
- CD90+ cells localised to areas of low collagen alignment
Original publication
AI-driven histologic analysis of human Achilles tendinopathy provides a roadmap to unravel pathogenesis. Ann Rheum Dis. Published 7 February 2025. doi:10. 1016/ j. ard. 2025. 01. 027
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