Diagnostic Value of Salivary Gland Ultrasonographic Scoring System in Primary Sjögren’s Syndrome: A Comparison with Scintigraphy and Biopsy
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Bibliographic record
Abstract
OBJECTIVE: To compare an ultrasonographic (US) scoring system of salivary glands with scintigraphy and salivary gland biopsy, in order to evaluate its diagnostic value in primary Sjögren's syndrome (SS). METHODS: In 135 patients with suspected SS, the grades of 5 US measures of both parotid and submandibular salivary glands were scored (0-48 scale). Diagnosis of primary SS was established following the American-European Consensus Group criteria of 2002. The patients' total scintigraphic score (0-12 scale) was determined and the histopathological changes of minor salivary glands graded. Area under the receiver-operating characteristic (ROC) curve was employed to evaluate the diagnostic value of the US scoring system. RESULTS: Primary SS was diagnosed in 107 (79.2%) patients and the remaining 28 subjects (20.8%) constituted the control group. US changes of salivary glands were established in 98/107 patients with SS and in 14/28 controls. Mean US score was 26 in SS patients and 6 in controls. Through ROC curves, US arose as the best performer (0.95 +/- 0.01), followed by scintigraphy (0.86 +/- 0.31). Setting the cutoff score for US at 19 resulted in the best ratio of specificity (90.8%) to sensitivity (87.1%), while setting the cutoff scintigraphic score at 6 resulted in specificity of 86.1% and sensitivity of 67.1%. Among 70 patients with US score >or= 19, a scintigraphic score > 6 was recorded in 54/70 (77.1%) and positive biopsy findings in 62/70 (88.5%) patients. CONCLUSION: We show high diagnostic accuracy of a novel US scoring system of salivary glands (0-48) in patients with primary SS comparable to invasive methods, i.e., scintigraphy and salivary gland biopsy.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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