CLINICAL RESULTS OF RECALIBRATING THE FEMORAL HEAD/NECK OFFSET IN PATIENTS PRESENTING A FEMOROACETABULAR CAM EFFECT
Bibliographic record
Abstract
The femoroacetabular conflict is a recognized cause of hip pain in young patients. It is associated with rim tears. Two types of conflict have been described: impingement due to retroversion of the acetabulum and «cam effect» associated with insufficient head/neck offset. A recent subject of debate has been isolated treatment of the rim tear without treating the often unrecognized bone anomaly. The purpose of this study was to assess short-term outcome after surgical remodeling of the head/neck junction for the treatment of femoroacetabular conflicts. Material and methods: There were 37 hips (18 men and 16 women) with chronic pain for more than three months. Mean patient age was 41 years (range 24–52). Preoperative 3D CT and MRI with gadolinium arthrography were available for all patients. Surgical remodeling of the head/neck junction via digastric trochanterotomy with surgical dislocation was performed. Preoperatively, the mean Notzli alpha angle was 65.6° (range 42–95°). Among the 34 patients, only four practiced sports requiring large range hip motion. MRI revealed a rim lesion in all patients. The following tests were performed: UCLA hip test, WOMAC (Western Ontario McMaster Osteoarthritis) index, and SF-12. Results: Mean follow-up was 2.5 years (range 2–4); pre- and postoperative scores were: WOMAC 59.2 and 81.0 (p Discussion: The femoroacetabular conflict results from insufficient concavity of the anterolateral head/neck junction associated with a rim tear. Correction of the bony anomaly provided significant short-term functional improvement both for the hip and for the patient’s general health. Correction of the offset by surgical dislocation of the hip is effective and safe treatment of the femoroacetabular conflict with preservation of the rim.
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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 | 0.002 |
| 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 | 0.001 | 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".