Influence de la sclérolipomatose à l'IRM dans le suivi des patients atteints d'une maladie de Crohn iléale : étude rétrospective
Bibliographic record
Abstract
Introduction: Creeping fat is common in ileal Crohn's disease patients. We tried to identify the factors linked with the development of creeping fat (CrF) and to describe its natural history. Additionnally, we studied if CrF can influence the occurrence of Crohn's disease (CD) relapse such as the use of a corticosteroid treatment (CST), the need of an hospitalization (H), or ileocecal resection (ICR). Materials and Method : Two groups of patients with an ileal CD were compared : with (CrFG) and without CrF ( NCrFG) on magnetic resonance imaging (MRI). CrF was followed over time on several MRI, with quatitative measures. For each patient the use of CST, the need of an H and the ICR were reported from the first MRI to the date of the latest news. Results: 47 patients were included in the CrFG and 20 patients in the NCrFG. Factors linked with CrF were a stenosing disease according to the Montreal classification (0R 11 [3,1 ;52,2], p<0,001), or on MRI (0R 4,7 ; [1,1; 31,5], p=0,048)), and a CRP >5 (OR 7,2 ; [2,0; 29,1], p=0,003). Over time, we saw a quantitative increase of the thickness and the surface of CrF. CrF was not a combined risk factor of CD relapse in multivariate analysis (HR = 0,84, [0,29;2,41], p=0,745). Conclusion: CrF is associated with severe and stenosing diseases. It is not a risk factor of CD relapse. The monitoring of CrF by quantitative measures on MRI doesn't seem necessary in the follow up of CD patients.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".