The Shenton Line in the Diagnosis of Acetabular Dysplasia in the Skeletally Mature Patient
Bibliographic record
Abstract
BACKGROUND: Undetected developmental dysplasia of the hip can progress to hip instability, which can lead to the development of early osteoarthritis. The purpose of the present study was to determine the reliability and accuracy of the Shenton line in the diagnosis of acetabular dysplasia in the skeletally mature patient. METHODS: Supine anteroposterior pelvic radiographs were obtained for a total of 128 hips in patients with a diagnosis of developmental dysplasia of the hip prior to pelvic osteotomy (sixty-four hips, including thirty-two left and thirty-two right hips) and normal patients (sixty-four hips, including thirty-two left and thirty-two right hips). Six orthopaedic surgeons determined if the Shenton line was broken or intact to determine interobserver reliability. Four observers reviewed the randomized radiographs again after four weeks to determine intraobserver reliability. RESULTS: The mean intraclass kappa value was 0.90 (range, 0.79 to 0.97), indicating excellent agreement between each reviewer's primary and secondary reviews. The kappa estimate for interobserver reliability among all six reviewers was 0.80 (95% confidence interval, 0.75 to 0.84), indicating an excellent agreement. The determination of a normal or abnormal Shenton line had a mean sensitivity of 83.3% (range, 60.9% to 93.8%) and specificity of 98.4% (range, 92.2% to 100%). CONCLUSIONS: The Shenton line is a reliable and accurate radiographic marker to detect superior femoral head subluxation indicative of acetabular dysplasia.
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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 | 0.005 | 0.019 |
| 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 | 0.001 |
| 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".