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Abstract #2875

Intestinal sub-regionalization improves the diagnostic accuracy of MR enterography for fibrosis in ileal Crohn’s disease

Luyao Wu1, Jinjiang Lin1, Ruonan Zhang1, Yangdi Wang1, Xiaodi Shen1, Xinyue Wang1, Qingzhu Zheng1, and Xuehua Li1
1Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China

Synopsis

Keywords: Data Processing, Digestive, Crohn’s Disease; Fibrosis; 3D printing; MR enterography

Motivation: Due to spatial heterogeneity, accurate diagnosis of intestinal fibrosis is an unmet need for patients with Crohn’s disease (CD).

Goal(s): To investigate whether sub-regionalization improves diagnostic accuracy of MRE for CD fibrosis and develop optimal MRE models.

Approach: Longitudinal co-registration of MRE with pathology was achieved using 3D printing, while axial co-registration of MCFI on MRE and pathology. Optimal multivariable MRE models were constructed. The diagnostic ability was evaluated by AUC.

Results: After sub-regionalization, histological fibrosis scores were highest in mesenteric border region(all P<.05). The optimal models showed the highest diagnostic accuracy for mesenteric border (AUC=0.91).

Impact: In CD patients, there is a notable fibrosis heterogeneity in the gut. This heterogeneity is pivotal in affecting diagnostic accuracy of fibrosis. Consequently, it is imperative to adopt a sub-regional diagnostic approach to ensure precision in medical assessment and treatment.

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