Tissue healing following segmental meniscal allograft transplantation: a pilot study
Bibliographic record
Abstract
PURPOSE: This in vivo histological study using an ovine model evaluated the 90-day healing of unilateral segmental meniscal allograft transplantation. METHODS: Fresh-frozen medial menisci were transplanted to replace the right medial meniscus of six female sheep. Tissue healing was evaluated using semi-quantitative, descriptive methods. Formalin-fixed meniscal, distal femur and proximal tibia tissues were evaluated using Rodeo (cellularity/collagen), Ishida (reparative bonding), Collagen I IHC (collagen I), and Mankin (cartilage organization) scores at the medial femoral condyle (MFC) and medial tibial plateau (MTP). Meniscocapsular evaluations were performed at the: (a) peripheral junction; (b) posterior sector-native meniscus junction; (c) anterior sector-native meniscus junction; (d) posterior horn internal control; and (e) anterior horn internal control. RESULTS: Three animals were euthanized at 39 ± 2.6 days post-surgery because of their knee condition. These animals had moderate Rodeo scores, low Ishida scores, and high Collagen I staining scores indicating moderately high fibrocartilaginous changes, mild or minimal healing and high collagen I content. Cartilage scores were low in the MFC and moderately high in the MTP, indicating mild MFC cartilage changes and moderately high MTP cartilage changes. Full-term (90 day) euthanized animals (n = 3) displayed improving Rodeo scores with mean scores of 3.3 and 3.6 at junctions (B) and (C), respectively. Ishida scores displayed similar improvements at all sectors. Collagen I staining revealed strong (grade 5) levels in all sections, with mean collagen I scores of 5, 5 and 4 for the peripheral (A), posterior (B) and anterior (C) junctions, respectively. Improved healing was observed at each segmental meniscus sector in terminally euthanized animals. CONCLUSIONS: Segmental meniscal allograft transplantation displayed partial healing to remnant meniscal tissue. Further study is needed to better delineate the time needed for complete healing and the joint-loading progression that may enhance it.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".