Medial release and lateral imbrication for intractable anterior knee pain: diagnostic process, technique, and results
Bibliographic record
Abstract
Alexander R Meldrum,1 Jeremy R Reed,2 Megan D Dash3 1Department of Surgery, Section of Orthopedic Surgery, University of Calgary, Calgary, AB, Canada; 2Department of Surgery, University of Saskatchewan College of Medicine, Regina, SK, Canada; 3Department of Family Medicine, College of Medicine, University of Saskatchewan, Regina, SK, Canada Purpose: To present two cases of intractable patellofemoral pain syndrome treated with a novel procedure, arthroscopic medial release, and lateral imbrication of the patellar retinaculum. Patients and methods: This case series presents the treatment of three knees in two patients (one bilateral) in whom an all-inside arthroscopic medial release and lateral imbrication of the patellar retinaculum was performed. Subjective measurement of pain was the primary outcome measurement, and subjective patellofemoral instability was the secondary outcome measurement. Results: Subjectively the two patients had full resolution of their pain, without any patellofemoral instability. Conclusion: Medial release and lateral imbrication of the patellar retinaculum is a new surgical procedure that has been used in the treatment of intractable patellofemoral pain syndrome. This is the first report of its kind in the literature. While outcome measurements were less than ideal, the patients had positive outcomes, both functionally and in terms of pain. Keywords: anterior knee pain syndrome, chondromalacia patellae, runners knee, patellar chondropathy, patellofemoral dysfunction, patellofemoral tracking disorder
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".