AI Article Synopsis

  • MaRIA and Clermont score are validated MRI indices for assessing mucosal healing in Crohn's disease (CD) and are compared for their accuracy.
  • Both indices showed substantial accuracy in detecting endoscopic ulcerations with high specificity and negative predictive value.
  • The findings suggest that both MaRIA and Clermont score are equally effective in detecting CD endoscopic ulcerations, supporting their use as therapeutic endpoints.

Article Abstract

Background: Magnetic resonance index of activity (MaRIA) and Clermont score are currently the two main MRI indices that have been validated compared to endoscopy in Crohn's disease (CD).

Aims: To compare the accuracy of MaRIA and Clermont score in assessing CD mucosal healing.

Methods: Fourty-four CD patients underwent prospectively and consecutively MRI and colonoscopy.

Results: Considering 207 segments, MaRIA>7 and Clermont score>8.4 demonstrated substantial accuracy to detect endoscopic ulcerations (73.9% and 74.0%, respectively) and presented with high specificity (82.1% and 81.3%) and high negative predictive value (NPV) (82.1% and 82.4%) for MaRIA and Clermont score, respectively. The sensitivity for detecting deep ulcerations was 90.9% for both MaRIA>11 and Clermont score>12.5, with a specificity of 82.0% and 80.0%, respectively. Among 44 patients, deep MRI remission predicted mucosal healing with specificity=85.3% and NPV=85.3% according to Barcelona criteria (no segmental MaRIA>7), and specificity=88.2% and NPV=85.7% according to Clermont criteria (no segmental Clermont score>8.4). In addition, MRI remission predicted mucosal healing with specificity=76.5% and NPV=86.7% according to Barcelona criteria (no segmental MaRIA>11), and specificity=79.4% and NPV=84.4% according to Clermont criteria (no segmental Clermont score>12.5).

Conclusion: MaRIA and Clermont score are equally effective in detecting CD endoscopic ulcerations supporting their use as therapeutic endpoints.

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http://dx.doi.org/10.1016/j.dld.2017.08.033DOI Listing

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