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Magnetic resonance enterography to predict subsequent disabling Crohn’s disease in newly diagnosed patients (METRIC-EF)—multivariable prediction model, multicentre diagnostic inception cohort

Taylor, SA; Kumar, S; Parry, T; Mallett, S; Travis, S; Raine, T; Clarke, C; Weng, JY; Bhatnagar, G; Bloom, S; et al. Taylor, SA; Kumar, S; Parry, T; Mallett, S; Travis, S; Raine, T; Clarke, C; Weng, JY; Bhatnagar, G; Bloom, S; Hamlin, PJ; Hart, A; Vega, R; Hameed, M; Bhagwanani, A; Greenhalgh, R; Helbren, E; Stephenson, J; Zealley, I; Eze, V; Franklin, J; Corr, A; Gupta, A; Tolan, D; Hogg, W; Higginson, A; Ahmed, M; Lee, L; Pollok, R; Patel, J; Baillie, S; Halligan, S; Plumb, A (2025) Magnetic resonance enterography to predict subsequent disabling Crohn’s disease in newly diagnosed patients (METRIC-EF)—multivariable prediction model, multicentre diagnostic inception cohort. European Radiology. ISSN 1432-1084 https://doi.org/10.1007/s00330-025-11636-8
SGUL Authors: Pollok, Richard Charles G

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Abstract

Objectives Magnetic resonance enterography (MRE) is a first-line investigation to diagnose Crohn’s disease (CD), but its role for prognostication is unknown. Accordingly, we assessed the predictive ability of prognostic models including MRE scores (MRE Global Score (MEGS), simplified MR Index of Activity (sMARIA), and Lémann index (LI)) against models using clinical predictors alone for the development of modified Beaugerie disabling CD (MBDD) within 5 years of diagnosis. Methods This was a multicentre, diagnostic inception cohort of patients with newly diagnosed CD across 9 UK hospitals, followed for 4 years or more. We censored development of MBDD ≤ 90 days from diagnosis, and used time-to-event models using Royston-Parmer flexible parametric models. Results We included 194 patients, median age 29, IQR 22–44 years, 52% female. Within 5 years of diagnosis, 42% (81/194) developed MBDD. In univariable analysis, initial steroid requirement was associated with increased risk of developing MBDD (HR 2.11 (95% CI 1.36, 3.26). The baseline clinical model had 49% (39, 60) sensitivity and 66% (57, 74) specificity for predicting the top 40% of patients with the greatest risk of developing MBDD, and 86% (77, 92) sensitivity and 35% (27, 45) specificity for predicting the development of MBDD in patients with an absolute risk of ≥ 10%. There was no significant difference in sensitivity when the MEGS, sMARIA, or LI were added to the baseline clinical model. Conclusions Addition of MRE scores at diagnosis to a multivariable model comprising clinical predictors did not improve prediction of MBDD within 5 years of diagnosis. Key Points Question Magnetic resonance enterography (MRE) is important for diagnosing and monitoring Crohn’s disease (CD), but primary research evaluating its prognostic role is lacking. Findings Adding MRE findings at diagnosis to a multivariable model comprising clinical predictors did not improve the prediction of disabling CD within 5 years of diagnosis. Clinical relevance When tested in a prospective, multicentre trial, current MRE activity and damage scores at diagnosis did not reliably predict whether patients would subsequently develop disabling CD. Notwithstanding this finding, MRE remains an essential tool for diagnosis and monitoring.

Item Type: Article
Additional Information: © The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Journal or Publication Title: European Radiology
ISSN: 1432-1084
Language: en
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
15/59/17Health Technology Assessment programmehttp://dx.doi.org/10.13039/501100000664
UNSPECIFIEDUCLH Biomedical Research Centrehttps://doi.org/10.13039/501100012317
URI: https://openaccess.sgul.ac.uk/id/eprint/117685
Publisher's version: https://doi.org/10.1007/s00330-025-11636-8

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