Mesenchymal Stem Cell Injections Improve Symptoms of Knee Osteoarthritis
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to evaluate the clinical and imaging results of patients who received intra-articular injections of autologous mesenchymal stem cells for the treatment of knee osteoarthritis. METHODS: The study group comprised 18 patients (6 men and 12 women), among whom the mean age was 54.6 years (range, 41 to 69 years). In each patient the adipose synovium was harvested from the inner side of the infrapatellar fat pad by skin incision extension at the arthroscopic lateral portal site after the patient underwent arthroscopic debridement. After stem cells were isolated, a mean of 1.18 × 10(6) stem cells (range, 0.3 × 10(6) to 2.7 × 10(6) stem cells) were prepared with approximately 3.0 mL of platelet-rich plasma (with a mean of 1.28 × 10(6) platelets per microliter) and injected into the selected knees of patients. Clinical outcome was evaluated with the Western Ontario and McMaster Universities Osteoarthritis Index, the Lysholm score, and the visual analog scale (VAS) for grading knee pain. We also compared magnetic resonance imaging (MRI) data collected both preoperatively and at the final follow-up. RESULTS: Western Ontario and McMaster Universities Osteoarthritis Index scores decreased significantly (P < .001) from 49.9 points preoperatively to 30.3 points at the final follow-up (mean follow-up, 24.3 months; range, 24 to 26 months). Lysholm scores also improved significantly (P < .001) by the last follow-up visit, increasing from a mean preoperative value of 40.1 points to 73.4 points by the end of the study. Likewise, changes in VAS scores throughout the follow-up period were also significant (P = .005); the mean VAS score decreased from 4.8 preoperatively to 2.0 at the last follow-up visit. Radiography showed that, at the final follow-up point, the whole-organ MRI score had significantly improved from 60.0 points to 48.3 points (P < .001). Particularly notable was the change in cartilage whole-organ MRI score, which improved from 28.3 points to 21.7 points (P < .001). Further analysis showed that improvements in clinical and MRI results were positively related to the number of stem cells injected. CONCLUSIONS: The results of our study are encouraging and show that intra-articular injection of infrapatellar fat pad-derived mesenchymal stem cells is effective for reducing pain and improving knee function in patients being treated for knee osteoarthritis. LEVEL OF EVIDENCE: Level IV, therapeutic case series.
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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 | 0.000 | 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".