The Efficacy of Ultrasound-Guided Pulsed Radiofrequency of Genicular Nerves in the Treatment of Chronic Knee Pain Due to Severe Degenerative Disease or Previous Total Knee Arthroplasty
Bibliographic record
Abstract
BACKGROUND Pulsed radiofrequency of genicular nerves in the management of osteoarthritis related chronic knee pain has recently become a promising treatment. Ultrasonography has replaced fluoroscopic guidance in pain medicine. The aim of this study was to investigate the effect of ultrasound-guided genicular pulsed radiofrequency on knee pain and function in patients who had severe knee osteoarthritis or who had previous knee arthroplasty. MATERIAL AND METHODS The retrospective study included a total of 23 patients with chronic knee pain, of which 17 patients were included in Group I (non-operated), and 6 patients were included in Group II (post-arthroplasty). Treatment was based on ultrasound-guided pulsed radiofrequency of the superior medial, superior lateral, and inferior medial genicular nerves. The Visual Analog Scale (VAS) and Western Ontario and McMaster Universities Osteoarthritis (WOMAC) scores were assessed before treatment, and at 3 weeks and at 3 months following the procedure. RESULTS Pulsed radiofrequency of the genicular nerves significantly reduced perceived pain and disability in the majority of the patients. The proportion of the patients with improvement of ≥50% in pretreatment VAS scores at 3 weeks and 3 months following treatment were 14 out of 17 patients (82%) and 15 out of 17 patients (88%) in Group 1, and 4 out of 6 patients (67%), 4 out of 6 patients (67%) in Group 2, respectively. CONCLUSIONS Our study results suggest that ultrasound-guided pulsed radiofrequency of genicular nerves is a safe and minimally invasive procedure that significantly alleviates pain and disability in patients with severe degenerative disease or with previous knee arthroplasty.
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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".