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Abstract #3595

A novel multimodal MRI-based neurophenotype model can predict intestinal disease progression in patients with Crohn’s disease

Ruonan Zhang1, Xiaodi Shen1, Haijie Wang2, Yaoqi Ke1, Yangdi Wang1, Li Huang1, Jinjiang Lin1, Weitao He1, Mengzhu Wang3, Chen Zhao3, Zhoulei Li1, Guang Yang2, Shi-Ting Feng1, and Xuehua Li1
1The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China, 2Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Dongchuan Road, Minhang District, Shanghai 200241, People’s Republic of China, Shanghai, China, 3MR Research Collaboration, Siemens Healthineers Ltd., Beijing, China

Synopsis

Keywords: fMRI Analysis, Inflammation

Motivation: Neural alterations affect intestinal conditions. However, these neural alterations and their impact on disease progression remain unclear.

Goal(s): We aimed to develop a multimodal neuroimaging-based radiomics model for comprehensive characterization of neurophenotype in CD patients and to investigate its ability to predict intestinal disease progression.

Approach: Multimodal multiparameter MRI was used to capture subtle brain differences in CD patients.

Results: We developed a novel multiparameter brain MRI-based radiomics model to characterize the neural features of CD patients with different inflammation levels. The neurophenotype can effectively predict disease progression, classifying patients into high- and low-risk groups.

Impact: We developed a novel multiparameter MRI-based radiomics model to effectively illuminate brain changes and accurately stratify CD patients by neurophenotypic risk, which may also be applicable to other gastrointestinal diseases, expanding its potential use in various medical fields.

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