The Impact of Magnetic Resonance Enterography and Capsule Endoscopy on the Re-classification of Disease in Patients with Known Crohn’s Disease: A Prospective Israeli IBD Research Nucleus (IIRN) Study
Bibliographic record
Abstract
BACKGROUND AND AIMS: The classification of Crohn's disease (CD) is usually determined at initial diagnosis and is frequently based on ileocolonoscopic and cross-sectional imaging data. Advanced endoscopic and imaging techniques such as small-bowel video capsule endoscopy (VCE) and magnetic resonance enterography (MRE) may provide additional data regarding disease extent and phenotype. Our aim was to examine whether VCE or MRE performed after the initial diagnosis may alter the original disease classification. METHODS: Consecutive patients with known small-bowel CD in clinical remission or mild disease were prospectively recruited and underwent MRE and VCE (if small-bowel patency was confirmed by a patency capsule (PC). Montreal classifications before and after evaluation were compared. RESULTS: Seventy-nine patients underwent MRE and VCE was performed in 56. Previously unrecognized disease locations were detected with VCE and MRE in 51 and 25%, respectively (p < 0.01) and by both modalities combined in 44 patients (55%). Twenty-two patients (27%) were reclassified as having an advanced phenotype (B2/B3). MRE and VCE reclassified the phenotype in 26 and 11% of cases, respectively (p < 0.05). Overall, both modalities combined altered the original Montreal classification in 49/76 patients (64%). CONCLUSION: VCE and MRE may lead to reclassification of the original phenotype in a significant percentage of CD patients in remission. VCE was more sensitive for detection of previously unrecognized locations, while MRE was superior for detection of phenotype shift. The described changes in the disease classification may have an important impact on both clinical management and long-term prognosis in these patients.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".