EP3.9 What Hip and Spino-Pelvic Characteristics Are Associated with Ischio-Femoral Impingement?
Bibliographic record
Abstract
Abstract Introduction: Ischio-Femoral Impingement (IFI) is a recognized cause of hip pain. Femoral parameters reducing ischio-femoral space (low offset and high version) are associated with IFI. Spinopelvic characteristics have also been hypothesized as possible cause however data is lacking. This study aims to 1. Determine prevalence of MRI findings consistent with ISI in hip patients; and 2. Test association between morphological femoral-, acetabular-, pelvic- and spino-pelvic characteristics (static and dynamic) with IFI. Methods: A prospective database was queried to identify 200 patients/hips (53% females, age:35.6±8.3 years-old; BMI:27±6) presenting with hip pain at an academic center that had comprehensive imaging (Hip MRI, CT pelvis/femur and comprehensive radiographic assessments (AP supine and standing pelvic views and lateral standing and deep-seated spinopelvic views). The presence of IFI was diagnosed on MRI (edema/wasting of the quadratus femoris muscle). Pelvic and hip measurements were performed on CT scan and included: Femoral neck-shaft angle, version, offset, Ischial angle, Ischio-femoral Space width, presence of Coxa profunda, Acetabular offset, inclination, version, lateral center-edge-angle, Anterior- and posterior wall indices and McKibbin Index. Spinopelvic parameters (Pelvic incidence, Sacral slope, Lumbar lordosis, Pelvic tilt, and Pelvic-femoral angle) were measured on both positions. Results: 43 hips (21.5%) had MRI findings consistent with IFI. Females were 5x (p<0.001) more likely to have MRI-features of IFI, however no age- or BMI- associations were detected. Morphological features associated with IFI included high femoral- (16±11º vs. 11±9º, p=0.02) and acetabular- (22±4º vs. 17±5º, p<0.001) versions, high McKibbin index (38±11º vs. 27±11º, p<0.001), high ischial angle (134±4º vs. 131±4º, p<0.001); low ischio-femoral space width (27±7mm vs. 37±8mm, p<0.001); low femoral- (36±5mm vs. 39±5mm, p=0.002) and acetabular- (30±4mm vs. 33±5mm, p=0.04) offsets. No other parameter, neither static- or dynamic spinopelvic characteristics were associated with ISI presence. Conclusion: Adverse MRI features in the posterior compartment are common features amongst symptomatic hips that need further study to determine association with outcome. Spinopelvic characteristics, contrary to previous hypotheses are not associated with their occurrence. The relative anatomy of ischium (ischial angle) and of the femur and acetabulum are the primary causes of the narrowed space leading to the IFI features.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".