Jae Hyeon Park, Sun G Chung, Ji-Young Jun, Jin-Ju Lee, Kyoungbun Lee
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引用次数: 0
Abstract
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.
期刊介绍:
The aim of Connective Tissue Research is to present original and significant research in all basic areas of connective tissue and matrix biology.
The journal also provides topical reviews and, on occasion, the proceedings of conferences in areas of special interest at which original work is presented.
The journal supports an interdisciplinary approach; we present a variety of perspectives from different disciplines, including
Biochemistry
Cell and Molecular Biology
Immunology
Structural Biology
Biophysics
Biomechanics
Regenerative Medicine
The interests of the Editorial Board are to understand, mechanistically, the structure-function relationships in connective tissue extracellular matrix, and its associated cells, through interpretation of sophisticated experimentation using state-of-the-art technologies that include molecular genetics, imaging, immunology, biomechanics and tissue engineering.