Mesenteric and antimesenteric border subregionalization using MR enterography: advancing fibrosis evaluation in Crohn

Luyao Wu1, Jinjiang Lin1, Weikai Zheng1

  • 1Department of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China.

Abstract

Insights

Assessing intestinal fibrosis in Crohn's disease (CD) is improved by magnetic resonance enterography (MRE) subregionalization. This novel strategy accurately identifies fibrosis severity in the mesenteric border, aiding in predicting disease progression.

Area of Science:

  • Gastroenterology
  • Radiology
  • Medical Imaging

Background:

  • Intestinal fibrosis assessment is crucial for Crohn's disease (CD) management.
  • Spatial heterogeneity of fibrosis complicates accurate MRE evaluation.
  • A novel subregionalization strategy is needed to improve diagnostic accuracy.

Purpose of the Study:

  • To develop and validate a novel MRE strategy for assessing intestinal fibrosis in CD.
  • To evaluate the diagnostic accuracy of subregional MRE analysis (mesenteric vs. antimesenteric borders).
  • To assess the predictive value of subregional MRE fibrosis measurements for CD progression.

Main Methods:

  • 184 CD patients across surgical and follow-up cohorts.
  • MRE coregistration with ileal specimens using 3D printing.
  • Construction and validation of multivariable MRE models for mesenteric, antimesenteric, and whole-circle regions.
  • Retrospective analysis of disease progression in a follow-up cohort.

Main Results:

  • Histological fibrosis scores were significantly higher in mesenteric than antimesenteric regions.
  • MRE models demonstrated highest diagnostic accuracy for fibrosis in the mesenteric border (AUROC 0.91).
  • Mesenteric border fibrosis severity was the strongest predictor of CD disease progression (HR 9.25).

Conclusions:

  • Intestinal fibrosis in CD exhibits significant spatial heterogeneity.
  • Subregionalization of MRE into mesenteric and antimesenteric borders enhances fibrosis detection and diagnostic power.
  • This approach improves prediction of CD progression, enabling tailored management strategies.

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