Reliability and Validity of Mesenteric Fat Assessment by Intestinal Ultrasound in Pediatric Crohn’s Disease Using the Chicago Mesenteric Fat Index
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
BACKGROUND: Intestinal ultrasound (IUS) provides a noninvasive means of assessing Crohn's disease (CD), including visualization of mesenteric fat (MF) wrapping. Reliability of MF assessment and correlation with disease activity biomarkers in children is unknown. This study assessed the interrater reliability (IRR) of a binary assessment and a novel semi-quantitative index for grading MF wrapping using IUS (Chicago Mesenteric Fat Index [CMFI]) and correlation with disease activity biomarkers in pediatric patients with CD. METHODS: Children (≤18 years of age) with ileal CD who underwent IUS at 2 centers were enrolled. Three expert sonographers independently graded MF as present/absent and by the CMFI. IRR was calculated using Fleiss' kappa coefficient. Correlations between MF and clinical characteristics, inflammatory markers, and IUS data were calculated. RESULTS: Eighty IUS exams in 67 patients were included. The IRR was substantial for binary MF (κ = 0.744) and CMFI (κ = 0.618). Increasing CMFI grade was associated with bowel wall thickness (P < .001; odds ratio [OR], 16.35; 95% confidence interval [CI], 5.74-46.58), presence of ileal stricture (P < .001; OR, 30.32; 95% CI, 5.74-160.15), and presence of hyperemia (P = .001; OR, 6.59; 95% CI, 2.27-19.09). CONCLUSION: Assessment of MF on IUS is reproducible and reliable in pediatric CD. The CMFI can be used as a biomarker that mirrors biochemical and sonographic indicators of pediatric CD activity.
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 | 0.000 | 0.001 |
| 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