A Unique and Characteristic Cam FAI Morphology in Young Patients with Comorbid Inflammatory Conditions
Bibliographic record
Abstract
BACKGROUND: The relationship between femoroacetabular impingement (FAI) and inflammatory medical comorbidities has not been established in the pediatric population. The purpose of this study was to investigate the prevalence of inflammatory conditions in pediatric patients with FAI and the morphology of the associated deformity. METHODS: We performed a retrospective cohort study of 90 patients who were diagnosed with FAI in our institution's adolescent hip clinic from January 2016 to March 2018. Patients with an inflammatory comorbidity were identified. Standard quantitative radiographic FAI measurements as well as qualitative femoral head-neck junction morphology were analyzed. RESULTS: Eight patients (8.9%) with 11 symptomatic hips were found to have an inflammatory condition. These 8 patients all had cam deformities. Nine of the symptomatic hips in this subset of patients had a negative femoral offset, where the cam deformity extended beyond the anterior margin of the femoral head. Qualitative assessment revealed a unique head-neck morphology with a prominent and "sharp-edged" bump at the head-neck junction, which resembled an inflammatory beak. In comparing patients with and without inflammatory comorbidities, a marked difference was found for alpha angles (difference, 26.6°; 95% confidence interval [CI], 18.2° to 35.0°) but not for age at diagnosis (difference, 0.5 years; 95% CI, -0.8 to 1.6 years) or the lateral center-edge angle (difference, 1.9°; 95% CI, -3.9° to 7.7°). CONCLUSIONS: At our institution, 8.9% of pediatric patients with FAI were found to have an inflammatory comorbidity. These patients presented with a characteristic prominent "sharp-edged" head-neck morphology that standard radiographic measurements captured as a negative femoral offset and a larger alpha angle than was seen in patients without systemic inflammatory disease. Awareness of the characteristic cam deformity that was found in these patients may help to identify patients with undiagnosed inflammatory conditions. This unique deformity also raises questions regarding the possible role of physeal inflammation in the development of cam deformities and indicates a need for additional studies to investigate the relationship between systemic inflammatory diseases and FAI. LEVEL OF EVIDENCE: Prognostic Level IV. See Instructions for Authors for a complete description of levels of evidence.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".