Intra-Articular Injection of Bone Marrow Concentrate for Patellofemoral Osteoarthritis Treatment: Preliminary Results Using a New Tibial Endplate Sample Under Ultrasound Guidance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.000 | 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 it