P128 Development of the Paediatric Inflammatory Crohn's MRE Index (PICMI)- results from the ImageKids Study
Bibliographic record
Abstract
There is no validated MRE-based inflammatory index for children although Crohn’s disease (CD) is more often panenteric compared with adults. The aim of the multicentre prospective ImageKids study was to develop such an index termed Pediatric Inflammatory Crohn’s disease MRE Index (PICMI). 158 children with CD (age 14 ± 2.4 years, 54% males, median disease duration (2.1 (IQR 0.3–4.3) years) underwent an MRE and ileocolonoscopy along with extensive collection of clinical data including SESCD and wPCDAI and bio-sampling in 21 sites globally. All MREs were scored independently by the site radiologist and by two central radiologists; the bowel was divided into 20 cm segments and sections (jejunum, ileum, TI, and colon). Measured variables included length of involved segments, a radiologist global assessment of inflammation on a 0–100 mm visual analog score (VAS) and 9 items selected by a Delphi group of 30 international radiologists and a systematic review of the literature (reported separately): wall thickness, T2 intensity, enhancement, DWI, narrowed lumen, comb sign, ulcerations, vascular engorgement and motility as well as the adult MaRIA score. 368 involved bowel segments were scored in 158 enrolled children. Based on univariate analyses, the following items were selected for the PICMI Index: wall thickness, T2 intensity, DWI, narrowed lumen, comb sign, ulcerations, and mesenteric T2 intensity (all p < 0.001; Figure 1). In an attempt to avoid gadolinium exposure in children, mucosal and mesenteric enhancement were not selected but will be evaluated further in the validation stage. Linear regression was used to determine the weights of scoring between bowel sections. The radiologist assessment was found to be well predicted by linear regression on the index variables. The models showed satisfying linear fit; for some sections retained only some of the variables (jejunum R2 = 0.80, ileum R2 = 0.30, TI R2 = 0.41; all p < 0.0001) The PICMI index is being developed as a MRE tool for paediatric CD to supplement endoscopic assessment. The draft weighted PICMI will be now validated on a separate cohort and compared with the MaRIA. The ImageKids study was supported by a grant from AbbVie.
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".