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

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

  • By

  • Stuart A. Taylor

  • Shankar Kumar

  • Thomas Parry

  • Sue Mallett

  • Simon Travis

  • Tim Raine

  • Caroline Clarke

  • Jing Yi Weng

  • Gauraang Bhatnagar

  • Stuart Bloom

  • Peter John Hamlin

  • Ailsa Hart

  • Roser Vega

  • Maira Hameed

  • Anisha Bhagwanani

  • Rebecca Greenhalgh

  • Emma Helbren

  • James Stephenson

  • Ian Zealley

  • Vivienne Eze

  • Jamie Franklin

  • Alison Corr

  • Arun Gupta

  • Damian Tolan

  • William Hogg

  • Antony Higginson

  • Mohamed Ahmed

  • Louise Lee

  • Richard Pollok

  • Jaymin Patel

  • Samantha Baillie

  • Steve Halligan

  • Andrew Plumb

  • May 14, 2025

  • 0 min

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Clinical Scorecard: Utilizing Magnetic Resonance Enterography to Forecast Disabling Crohn’s Disease in Recently Diagnosed Patients (METRIC-EF)—A Multivariable Predictive Model from a Multicenter Diagnostic Cohort Study

At a Glance

CategoryDetail
ConditionCrohn’s disease (CD)
Key MechanismsProgressive bowel damage and inflammatory activity detectable by Magnetic Resonance Enterography (MRE), leading to complications such as strictures, fistulae, abscesses, hospitalisations, steroid dependency, immunosuppression, or surgery
Target PopulationAdults with newly diagnosed Crohn’s disease
Care SettingMulticenter National Health Service (NHS) hospitals with access to MRE imaging and specialist gastroenterology and radiology services

Key Highlights

  • Disabling Crohn’s disease is defined by progressive disease with complications, hospitalisations, steroid dependency, immunosuppression, or surgery occurring beyond 90 days after diagnosis.
  • MRE can simultaneously quantify bowel damage and inflammatory activity, offering potential prognostic utility in newly diagnosed CD patients.
  • The METRIC-EF study developed a multivariable predictive model using MRE features at diagnosis to forecast disabling disease within 5 years.

Guideline-Based Recommendations

Diagnosis

  • Use Magnetic Resonance Enterography (MRE) as a first-line imaging modality to assess bowel damage and inflammation in newly diagnosed Crohn’s disease.
  • Apply established MRE indices such as MEGS, sMARIA, and Lémann index for standardized assessment.

Management

  • Consider early ‘top-down’ treatment with biologics and immunomodulators for patients predicted to develop disabling disease to reduce progression.
  • Avoid overtreatment in patients unlikely to progress to disabling disease to minimize side effects and costs.

Monitoring & Follow-up

  • Follow patients for at least 4 years, ideally up to 5 years, to monitor for disabling disease manifestations.
  • Use consensus multidisciplinary panels including gastroenterologists and radiologists to review clinical and imaging data longitudinally.

Risks

  • Steroid dependency and immunosuppressive therapy carry risks of side effects and complications.
  • Overtreatment in patients not at risk of disabling disease may lead to unnecessary adverse effects and increased healthcare costs.

Patient & Prescribing Data

Adults newly diagnosed with Crohn’s disease undergoing MRE imaging

Early identification of patients at risk for disabling disease via MRE allows targeted initiation of aggressive therapy, improving outcomes while reducing unnecessary exposure in low-risk patients.

Clinical Best Practices

  • Exclude patients with disabling disease at diagnosis or within 90 days when prognosticating future disease course.
  • Ensure MRE interpretation is performed by experienced gastrointestinal radiologists blinded to clinical data except necessary information for scoring.
  • Use standardized scoring systems (MEGS, sMARIA, Lémann index) with trained readers to improve reproducibility and prognostic accuracy.
  • Employ multidisciplinary consensus panels to integrate clinical and imaging data for comprehensive disease assessment.

References

Original Source(s)

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