Role of Magnetic Resonance Enterography in the Management of Crohn Disease
Bibliographic record
Abstract
OBJECTIVE: To assess the impact of magnetic resonance enterography (MRE) on therapeutic decision making for patients with Crohn disease. DESIGN: Retrospective study. SETTING: Tertiary care medical center. PATIENT: One hundred twenty patients who had either a history of or high suspicion for Crohn disease with onset of new symptoms underwent MRE over 18 months at our institution. All patients with Crohn disease were classified according to the Montreal system. INTERVENTIONS: Magnetic resonance enterography and medical vs surgical therapy. MAIN OUTCOME MEASURE: Changes in management after MRE findings. RESULTS: Magnetic resonance enterography demonstrated active Crohn disease in 57.5% of patients, chronic changes of Crohn disease without active inflammation (eg, stricture, fistula, or abscess) in 12.5% of cases, and no evidence of Crohn disease in 30% of cases. After MRE, 37 (31%) had no change in medical therapy, 64 (53%) had additional medical management for active inflammation, and 19 (16%) underwent an operation for complicated Crohn disease or medical intractability. In all surgical patients, the intraoperative findings were consistent with the MRE diagnosis. The mean (SD) MRE score was 1.6 (0.5) for patients who had no change in their treatment plans, 5.8 (1) for patients who underwent surgery, and 8 (0.4) for patients who had their drug regimen changed (P < .001). The MRE score independently correlated with need for intervention (P = .001). CONCLUSIONS: Magnetic resonance enterography shows promising ability to characterize the presence of active Crohn disease as well as chronic complications (eg, differentiate between stricture due to edema vs fibrotic scarring). Magnetic resonance enterography is fast becoming a useful adjunct in the management algorithm of patients with Crohn disease.
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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 | 0.002 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".