Cementoplasty in the Treatment of Avascular Necrosis of the Hip
Bibliographic record
Abstract
OBJECTIVE: This retrospective study evaluated the role of percutaneous cementoplasty in the treatment of avascular necrosis (AVN) of the hip in order to postpone or avoid total hip replacement. METHODS: The study population comprised 40 patients (47 hips) with mean age of 46 +/- 4.7 years and mean body mass index of 26.7 +/- 4.6 kg/m(2). AVN was classified according to the Ficat-Arlet classification as one stage I, 30 stage II, and 16 stage III. The minimum followup was 9 months. RESULTS: It was found that 74.5% of hips were secondarily operated for total hip replacement a mean of 19.9 +/- 15 months (median 14 mo) after cementoplasty. As well, 94% of patients with stage 3AVN and 68% with stage 2AVN underwent surgery. Twelve hips were not operated, with a mean followup of 39 +/- 19.2 months. Pain decreased by more than 80% after cementoplasty in two-thirds of patients, but the mean pain-free interval was only 8.1 +/- 6.6 months (median 5 mo). Nineteen of the 29 working patients were able to transiently return to work. The outcome was more unfavorable with radiological stage III AVN, joint effusion, and/or a double-line sign around the lesions on magnetic resonance images. CONCLUSION: Despite early relief of pain, the results of the cementoplasty technique were disappointing, with need for arthroplasty surgery in most cases within 2 years. Alternative percutaneous techniques using different filler materials with osteoinductive properties should be evaluated in further studies.
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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 | 0.000 | 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".