Knee Osteoarthritis Treated with Percutaneous Chondral-Bone Interface Optimization: A Pilot Trial
Bibliographic record
Abstract
Objective: The objective is to evaluate the efficacy of using tibial bone marrow delivered to the chondral-bone interface (CBI) via percutaneous chondral bone interface optimization (PeCaBoo) as a therapy for knee osteoarthritis (OA). Study Design: A series of prospective cases were presented. Participants: Our study included 10 patients with medial or lateral compartment knee OA. Methods: With 1 cc of heparin pre-loaded in the syringe, 5 cc of tibial bone marrow was withdrawn from the proximal tibia. The resultant 6 cc of aspirate in the syringe was injected via PeCaBoo, 2 cc at a time, into the superior CBI and inferior CBI. The remaining 2 cc was injected via needle into the intra-articular joint space. Main Outcome Measurements: Patients had MRIs taken pre-procedure and 3 months post-procedure to measure bone edema and intra-articular matrix thickness. Patient-reported outcomes recorded included the Western Ontario and McMaster University Osteoarthritis Index (WOMAC) and the Numeric Paint Rating Scale (NRS), which were both obtained pre-procedure and post-procedure at 3, 6, and 12 months. Use of non-steroidal anti-inflammatories (NSAIDs) was recorded pre- and post-procedure as well. Results: Our study included 4 males and 6 females, with an average age of 63.5 years. The average follow-up time was 14 months, with a range of 13 - 15 months. The mean WOMAC score was 58.2 points pre-procedure and 35.3 points post-procedure (p Boo procedure. The subgroup of patients with tibial edema and knee OA had optimal outcomes. Conclusions: Tibial bone marrow stem cell delivered via PeCaBoo is a novel minimally-invasive treatment for knee OA, with potential to repair cartilage and improve knee pain and function.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".