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Abstract #0356

Exploring the Application of an Multi-Advanced-Diffusion-Model-Based Radiomics Method in Grading of Intestinal Fibrosis of Crohn's Disease

Li Huang1, Xuehua Li1, Siyun Huang2, Mengzhu Wang3, Canhui Sun2, Shiting Feng2, Xu Yan3, Yang Song4, and Ziping Li1

1The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China, 2The First Affiliated Hospital of Sun Yat-Sen University, guangzhou, China, 3MR Scientific Marketing, Siemens Healthcare, guangzhou, China, 4Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, shanghai, China

In the present study, we investigated a multiple diffusion-model-based radiomics model in grading of bowel fibrosis of Crohn's disease (CD) patients. We used histogram features derived from parameters of DWI, IVIM and DKI models and chose SVM as the classifier to construct a prediction model. The results showed that the most accurate prediction was achieved by incorporating the following 6 features into a nomogram, including the DKI-related histogram parameters (mean D, mean K, 10th percentiles of K) and IVIM-related parameters (mean D0-2000, mean D*0-2000, 90th percentiles of f), with AUC and accuracy reached 0.835 and 0.833, respectively.

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