Intercorrelation between MRI disease activity scores of the sacroiliac joints and the spine, and clinical disease activity indices in patients with axial spondyloarthritis
Bibliographic record
Abstract
Hon Wai Lau,1 Chi Chiu Mok,2 Wun Cheung Samuel Chan,1 Ming Keung Yuen,1 On Chee Li1 1Department of Radiology, 2Department of Medicine, Tuen Mun Hospital, Tuen Mun, New Territories, Hong Kong Objective: To analyze the correlation between the magnetic resonance imaging (MRI) disease activity scores and the clinical disease activity indices (DAI) in Chinese patients with active axial spondyloarthritis (aSpA) that required biologics therapy. The correlation between MRI disease activity scores of the sacroiliac joints (SIJs) and the spine in these patients was also assessed.Methods: This was a cross-sectional study design in which adult patients who fulfilled the Assessment of SpondyloArthritis international Society classification criteria for aSpA and had active disease (Bath Ankylosing Spondylitis Disease Activity Index score ≥4, persistent spinal pain despite nonsteroidal anti-inflammatory drugs therapy >3 months) that required biologics therapy were included. The MRI disease activities were measured using the Spondyloarthritis Research Consortium of Canada (SPARCC) scores. Correlation between the SPARCC scores of the SIJs and the spine, and clinical DAI was calculated. Results: Fifty-seven patients (47 men and 10 women; mean age 37 ± 12 years) completed the study. There was no statistically significant correlation between the SPARCC scores and clinical DAI. The SPARCC score of the SIJs showed a positive correlation with the SPARCC score of the spine (r = 0.34, p < 0.05). The thoracic discovertebral units (57%) were found to be more frequently associated with significant disease activity than the other levels of the spine. Conclusion: MRI can detect active inflammation which may not be reflected by clinical DAI. MRI should be performed in patients with aSpA to provide a more comprehensive assessment and to better reflect disease activity and severity. MRI findings of more severe sacroiliitis should prompt the radiologist to look for involvement in the entire spine, particularly in the thoracic region. Keywords: magnetic resonance imaging, MRI, SPARCC score, axial spondyloarthritis, ankylosing spondylitis, spondyloarthropathies, sacroiliitis
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".