Radiographic results of combined Salter innominate and femoral osteotomy in Legg–Calvé–Perthes disease in older children
Bibliographic record
Abstract
PURPOSE: Treatment of Legg-Calvé-Perthes disease in older children with greater involvement of the femoral head remains uncertain. Innominate, femoral or combined innominate and femoral osteotomies are generally performed to better contain and provide more coverage of the femoral head by the acetabulum with the objective of achieving a more spherical head and a congruent joint. The purpose of the study was to evaluate the radiographic outcomes of simultaneous femoral and pelvic osteotomies. METHODS: We reviewed the radiographic changes of 20 patients with Legg-Calvé-Perthes disease with a disease onset of over eight years of age who had undergone combined femoral and Salter innominate osteotomies. The hips in these 17 males and 3 females comprised 11 lateral pillar (LP) group B, 7 B/C, and 2 C. The patients were evaluated with a mean follow-up of five years and five months using the Stulberg radiographic assessment. RESULTS: Among those 20 hips, six became Stulberg II (SII), nine SIII, and five SIV. From the 11 LPB hips, five became SII, four SIII, and two SIV. The seven LPB/C turned out to be SII in one case, SIII in four, and SIV in two hips. One of the two LPC hips became SIII and the other one SIV. The three female patients had one LPB, one LPB/C, and one LPC hip, and surgery resulted in SIII hips in all three cases. Eight of these 20 cases were older than 11 years of age at the time of surgery, and all had fair or poor hips. CONCLUSIONS: Simultaneous femoral and Salter innominate osteotomies in older children with a higher LP grouping can marginally improve the radiographic outcome in comparison with the natural history in LPB/C and LPC cases by converting a number of poor results to fair results.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".