Osteochondral Allograft Transplantation: Tissue Storage and Surgical Factors Using an Ovine Model
Bibliographic record
Abstract
An effective surgical treatment for large cartilage lesions is Osteochondral Allograft Transplantation (OCAT). The method and duration of cadaveric donor tissue storage prior to transplantation can reduce chondrocyte viability, which is directly correlated to negative clinical outcomes. Active research aims to increase chondrocyte viability at extended durations of storage. Effects of long-term storage were investigated by quantifying changes in ovine cartilage explants after storage in a proprietary, DMEM-based media known as MOPS. OCAT surgical techniques can also negatively impact cartilage quality. This thesis investigated the relationship between increased graft press-fit and insertion forces and resulting cell viability, using both human and ovine tissues. Finally, 3D-printed drill guides were developed for placement of osteochondral grafts in a pre-clinical ovine model. This thesis highlights interdependent factors that influence donor cartilage quality in OCAT, as well as identifying species differences that are important to consider when interpreting results from the pre-clinical ovine model.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".