AI-driven histologic analysis of human Achilles tendinopathy provides a roadmap to unravel pathogenesis

Ann Rheum DisPublished Mechanistic study

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

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.