Differentiation of Crohn's disease and ulcerative colitis using intestinal wall thickness of the colon: A Diagnostic accuracy study of endoscopic ultrasonography
Bibliographic record
Abstract
↑What is "already known" in this topic: While there is no single standard method for diagnosing Ulcerative Colitis (UC) and Crohn's Disease (CD), ultrasonography (US) has been described as a non-invasive, less costly and efficient method that can be used for diagnosis and follow up of patients with IBD. →What this article adds:The sensitivity and specificity of EUS were 100% and 90.9% in our study.The sensitivity and specificity of mean mucosal thickness for differentiating UC form CD and Controls were 92.3% and 88.6% with a cut-off point of 1.1 mm; while, sensitivity and specificity of mean submucosal thickness for differentiating CD from UC and Controls were 100% and 86.1% with a cut-off point of 1.08 mm.The thickness of colonic layers was also associated with disease activity indices, which shows the accuracy of this diagnostic method in determining disease activity for patients' follow up, in addition to its diagnostic usage.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".