EP82 Pre-surgical hip cartilage evaluation using MRI T1rho mapping on periacetabular osteotomy (PAO) outcomes
Bibliographic record
Abstract
Abstract Introduction Hip dysplasia is a precursor to osteoarthritis and hip replacement. The Bernese periacetabular osteotomy (PAO) is the gold standard for surgical correction. T1rho MRI is a non-invasive technique that provides quantitative evaluation of cartilage proteoglycan content, where higher T1rho indicates lower proteoglycan content. This study investigates the use of pre-surgical T1rho MRI in measuring the cartilage status in hip dysplasia patients to predict PAO surgical outcomes. Methods T1rho maps of hip cartilage were acquired using 3T MRI for 30 participants (18 female, 12 male, mean age: 28.9 years) before undergoing PAO. Of these, 18 had a confirmed labral tear. Cartilage was segmented on the MR images and divided into 6 subregions: anterior lateral, anterior intermediate, anterior medial, posterior lateral, posterior intermediate, posterior medial. Spearman correlations with significance level of p < 0.05 were used to compare T1rho values for each region with baseline and 6-month post-surgery patient reported outcome measures (PROMs) through Patient-Reported Outcomes Measurement Information System (PROMIS), International Hip Outcome Tool (iHOT-33), and Hip Disability and Osteoarthritis Outcome Score (HOOS). Results A significant, negative correlation (r = -0.38) was found between T1rho in the posterior lateral region of cartilage with baseline HOOS pain parameter. T1rho in the anterior lateral cartilage region was significantly, negatively correlated (-0.64 < r < -0.45) with almost all 6-month post-surgery PROMs. There was also a significant, negative correlation (r = -0.45) between T1rho in the anterior medial region of cartilage with the difference in HOOS symptoms parameter from baseline to 6-month post-surgery. No significant differences in T1rho were found between participants with and without labral tears. Discussion Negative correlation between T1rho and baseline HOOS pain score suggests increased cartilage degeneration is related to more pain before surgery. Negative correlations with 6-month post-surgery PROMs suggest that patients with worse cartilage degeneration prior to surgery also had worse quality of life scores. Furthermore, negative correlations to changes in PROMs from baseline to 6-months post-surgery suggest patients with worse cartilage degeneration prior to surgery experienced lower improvements in quality of life 6 months following surgery. These results suggest T1rho may be predictive of short-term surgical outcomes.
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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 | 0.001 | 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) | 0.003 | 0.001 |
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".