The Novel OMERACT Ultrasound Scoring System for Salivary Gland Changes in Patients With Sjögren Syndrome Is Associated With MRI and Salivary Flow Rates
Bibliographic record
Abstract
OBJECTIVE: To assess the construct validity of the novel Outcome Measures in Rheumatology (OMERACT) ultrasound (US) semiquantitative scoring system for morphological lesions in major salivary glands by comparing it with magnetic resonance imaging (MRI) and unstimulated whole salivary flow rates (U-WSFRs) in patients with primary Sjögren syndrome (pSS). METHODS: Nine sonographers applied the OMERACT 0-3 grayscale scoring system for parotid (PGs) and submandibular glands (SMGs) in 11 patients with pSS who also had MRIs performed. These were evaluated by 2 radiologists using a semiquantitative 0-3 scoring system for morphological lesions. The agreement between US and MRI and the association between U-WSFRs and imaging structural lesions was determined. A score ≥ 2 for both US and MRI was defined as gland pathology. RESULTS: The prevalence of US morphological lesions in 11 patients with a score ≥ 2 was 58% for PGs and 76% for SMGs, and 46% and 41% for PGs and SMGs, respectively, for MRI. The agreement between OMERACT US scores and MRI scores was 73-91% (median 82%) in the right PG and 73-91% (median 91%) in the left PG, 55-91% (median 55%) in the right SMG and 55-82% (median 55%) in the left SMG. When relations between the presence of hyposalivation and an US score ≥ 2 were examined, agreement was 91-100% (median 83%) in both PGs and 55-91% (median 67%) in both SMGs. CONCLUSION: There is moderate to strong agreement between the OMERACT US and MRI scores for major salivary glands in patients with pSS. Similar agreement ratios were observed between the higher OMERACT US scores and presence of hyposalivation.
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.
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 | 0.001 | 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 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".