Intra-Articular Injection of Bone Marrow Concentrate for Patellofemoral Osteoarthritis Treatment: Preliminary Results Using a New Tibial Endplate Sample Under Ultrasound Guidance
Bibliographic record
Abstract
Introduction: Patellofemoral osteoarthritis (PFOA) remains a therapeutic challenge with few effective non-surgical options. Objective: The aim of this study was to evaluate the feasibility, safety, and preliminary outcomes of ultrasound (US)-guided tibial endplate aspiration and intra-articular injection of bone marrow concentrate (BMC) in patients with isolated PFOA. Methods: In this retrospective case series, seven consecutive patients with symptomatic PFOA unresponsive to conservative therapy were treated with US-guided tibial endplate aspiration followed by intra-articular BMC injection. Clinical outcomes were assessed with the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) at baseline and 12 months. MRI with T2 mapping was performed to evaluate cartilage structure. BMC composition was analyzed, including colony-forming unit fibroblast (CFU-F) assays. Results: The procedures were feasible in all cases, and no adverse events occurred. WOMAC scores improved significantly from 21.7 ± 17.3 at baseline to 9.0 ± 9.3 at 12 months (p = 0.030). MRI showed a mean relative increase of 25.4% ± 43.5% in healthy cartilage volume, though this was not statistically significant (p = 0.49). Correlation analyses revealed no consistent association between clinical response and cellular composition, including estimated MSC dose. Conclusions: This small retrospective series suggests that US-guided tibial endplate aspiration and intra-articular BMC injection are safe, technically feasible, and may provide clinical benefit in isolated PFOA. Larger controlled studies are needed to confirm these preliminary findings.
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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 | 0.001 |
| 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 | 0.000 | 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 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".