A225 ASSESSMENT OF BEDSIDE INTESTINAL ULTRASOUND IN MONITORING CROHN’S DISEASE ACTIVITY
Bibliographic record
Abstract
Abstract Background Bedside intestinal ultrasound (IUS) is an evolving modality in monitoring disease activity and assessing complications in inflammatory bowel disease (IBD). The easy-tolerability and immediate accessibility to results for expedited clinical decision-making contribute to the growing global attraction of IUS integration into IBD care. Fecal calprotectin (FC) is a known, non-invasive tool to assess disease activity in IBD. However, it comes with limitations. Aims To assess the efficacy of IUS in monitoring Crohn’s Disease (CD) compared to FC level. Methods We conducted a retrospective observational study in patients with confirmed CD at a certified IUS gastroenterologist’s outpatient clinic in Saskatoon. Patients’ charts undergoing IUS between February 2022 and April 2023 were reviewed. Patients with CD and available FC results within a month of IUS performance were identified. Age, gender, disease character, clinical symptoms (Harvey-Bradshaw Index (HBI)), FC levels, and IUS bowel wall thickening (BWT) were collected. The cut-off for FC levels and BWT for disease activity were ampersand:003E250 μg/g and ampersand:003E3 mm, respectively. The correlation between IUS BWT and FC levels was analyzed based on the Pearson correlation. Results Among a total of 178 chart reviews, 71 patients were identified. The median age was 49 years, 52.1% were males and 47.8% were females. 35 (49.3%) ileal CD, 35 (49.3%) ileocolonic and 1 (1.4%) colonic CD were identified. The HBI score verified 67.6% mild disease, 19.7% moderate, 11.2% in remission, and 1.4% severe disease. The Pearson correlation coefficient (r) between FC levels and BWT findings on IUS was r = 0.29 (P ampersand:003C0.0001), indicating a weak positive correlation. Conclusions A positive but weak correlation exists between bowel wall thickening in IUS and FC level in monitoring CD. Recognizing FC limitations, future multi-center, larger cohort studies need to be done to investigate this correlation further. Funding Agencies None
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".