The diagnostic utility of MRI in spondyloarthritis: An international multicentre evaluation of 187 subjects (The MORPHO study)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE:: To systematically assess the diagnostic utility of MRI to differentiate spondyloarthritis (SpA) patients from patients with non-specific back pain (NSBP) and healthy volunteers using a standardized evaluation of MR images of the sacroiliac joints (SIJ). METHODS:: Five readers blinded to patient and diagnosis independently assessed MRI scans (T1-weighted and STIR sequences) of the SIJ from 187 subjects: 75 patients with AS (symptom duration =10 years); 27 patients with pre-radiographic inflammatory back pain (IBP) (mean symptom duration 29 months); 26 NSBP and 59 healthy controls =45 years. Bone marrow edema (BME), fat infiltration, erosion, and ankylosis were recorded according to standardized definitions using an online data entry system. We calculated sensitivity, specificity, positive (LR+) and negative (LR-) likelihood ratios for the diagnosis of SpA based on global assessment of the MRI scans. RESULTS:: Diagnostic utility was high for all 5 readers for both AS (sensitivity 0.90, specificity 0.97, LR+ 44.6) and pre-radiographic IBP patients (sensitivity 0.51, specificity 0.97, LR+ 26.0). Diagnostic utility based solely on detection of BME enhanced sensitivity (67%) for IBP patients but reduced specificity (88%); detection of erosions in addition to BME further enhanced sensitivity (81%) without changing specificity. A single MRI lesion of the SIJ was observed in up to 27% of control individuals. CONCLUSION:: This systematic and standardized evaluation of SIJ in SpA patients showed that MRI has much greater diagnostic utility than documented previously. We present for the first time a data driven definition of a positive MRI for SpA.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 it