Computational method maximizes applicable of existing osteochondral allografts
While allografts represent a powerful treatment option in the repair of damaged articular cartilage, the wide variety of potential repair sites makes it difficult to identify structurally compatible allografts. Furthermore, a limited number of donor tissues result in high rates of graft expiration, as clinicians struggle to find appropriate anatomical matches. This technology provides a computational tool addressing this limitation through identification of and precise architectural modifications to existing allografts and host sites. These changes will provide for wider applicability of existing donor tissues, allowing donor grafts from one joint to be used in a host site from another, while at the same time improving outcomes by restoring the curvature of the articular surface.
Decreased logistical strain of patient-donor matchingReduction of wasted allografts due to expiration Structural matching increases probability of viability and successful implantationCurvature matchingTech Ventures Reference: IR CU14124
Improved allograft matchingAllograft customizationIncreased allograft availability
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