P317 MaRIA score in the assessment of disease activity in patients with ileocolonic Crohn’s disease; the correlation between radiological, endoscopic, and clinical findings
Bibliographic record
Abstract
Adequate disease assessment in Crohn’s disease (CD) is crucial for therapeutic strategy. It includes evaluation of disease extension and activity. In this study we correlated MR findings in patients with ileocolonic CD assessed by MaRIA score with endoscopic SES-CD index, Crohn’s disease index of activity (CDAI) and CRP. We evaluated 40 patients with more severe ileocolonic CD phenotypically classified according to Montreal classification. MR index of activity (MaRIA) was calculated according to further formula: 1.5x wall thickness (mm) + 0.02x relative contrast enhancement + 5x oedema + 10x ulceration and evaluated as follow: 0–7 points remission,7–11 mild disease, >11 points severe disease. SES-CD was calculated for each segment of ileocolonocscopy finding for further variables: presence of ulcers, ulcerated surface and affected surface, presence of stenosis, and number of affected segments. CDAI was calculated in standard manner; <150 points remission; 150–450 mild and moderate disease; >450 severe disease. The value of CRP was analysed in the time of MR analysis. A total of 40 patients (23 females, 17 males) with ileocolonic CD, average age 40 years were evaluated. The average CDAI was 351. Further variables were correlated: MaRIA score, CDAI, SES-CD, and CRP. For statistical analysis, Pearson and Spearman coefficient for categorical variables with level of significancy 0.01 were used. According to MaRIA score 70% of patients had severe disease, 15% mild disease, 15% remission. The MaRIA score ranged from 4.5 to 30 and correlated positively with CDAI (Spearman 0.459, p = 0.003, Pearson 0.468, p = 0.002). Correlation of CDAI with single MR variables showed that lymph node involvement and fibrosis positively correlated with CDAI (Pearson 0.245; Spearman 0.169). MaRIA and SES-CD correlated strongly positive (Spearman 0.542, p < 0.001, Pearson 0.494, p = 0.001); meanwhile, correlation of MaRIA with CRP was negative (Spearman 0.095, p = 0.557, Pearson 0.134, p = 0.408). MaRIA score as an MR index of activity in CD patients presents very good and a valuable score for assessing disease extent and activity, especially in patients with more-severe forms of disease. Our study showed positive correlation of MaRIA score with most frequently used clinical CDAI) and endoscopic indexes (SES-CD) in CD 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".