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Soft tissue injuries in sports involve a long recovery cycle, and after surgery, problems such as tissue adhesion and mechanical properties failing to reach their original levels are common, which is associated with a relatively high risk of re-injury and affects both rehabilitation outcomes and the safety of returning to sport. At present, clinical evaluation of rehabilitation outcomes mostly relies on functional scales and physician physical examinations, which makes it difficult to detect microscopic-level damage and functional deficits within the tissue. Although the emergence of quantitative magnetic resonance imaging (qMRI) technology has compensated for this shortcoming, most existing studies focus only on the diagnostic value of a single imaging parameter and emphasize quantification at the level of tissue structure, lacking research on the coupling between microscopic imaging indicators and mechanical properties. As a result, they cannot fully assess the actual level of rehabilitation after injury and struggle to meet the current clinical demand for precision rehabilitation.In response to the above practical problems, this paper establishes an integrated analytical framework of "microscopic quantification via quantitative imaging combined with mechanical assessment via physical modeling." The aim is to use physical models to accomplish microscopic quantification of soft tissues with sports injuries and to combine them with finite element mechanical modeling so as to shore up the shortcomings of traditional assessment, thereby providing theoretical reference and technical ideas for individualized rehabilitation interventions for sports injuries and for risk assessment of returning to sport.
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Xinyi Chen (2026) studied this question.
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