Correlation Engine 2.0
Clear Search sequence regions

  • rat (4)
  • tendon (10)
  • tendon injuries (3)
  • Sizes of these terms reflect their relevance to your search.

    Although digital image analysis methods that quantify histopathologic features have emerged, no validated quantitative methods are available to evaluate tendon injury. This study aimed to propose and validate a quantitative analysis method to identify the histopathologic features of tendon injuries. The histopathologic features of two Achilles tendon injury models (a partial full-thickness defect model and a collagenase injection model) using Sprague-Dawley rats were evaluated by semiquantitative grading and a quantitative analysis method using a digital pathology software at weeks 1 and 4 after tendon injury (six tendons per group at each time point). The outcome variables between tendon injury models and between time points were compared, and the correlation between semiquantitative scores and the results of the quantitative analysis was investigated. The proposed analysis method quantified the severity of the histopathological features after tendon injury. Quantitative analysis differentiated the cell morphology between tendon injury models and time points better than semiquantitative scoring. The results from quantitative measurements correlated significantly with the semiquantitative scores. The proposed quantitative method can be effective in evaluating the histopathology of tendon injuries.


    Jae Hyeon Park, Sun G Chung, Ji-Young Jun, Jin-Ju Lee, Kyoungbun Lee. Quantitative analysis of tendon histopathology using digital pathology in rat models with Achilles tendon injury. Connective tissue research. 2022 Sep;63(5):463-474

    Expand section icon Mesh Tags

    Expand section icon Substances

    PMID: 34974783

    View Full Text