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Abstract #1072

Exploring the Application of an Advanced-Diffusion-Model-Based Radiomics Model in detecting radiation-induced brain injury

Mengzhu Wang1 and Weike Zeng2
1MR Scientific Marketing, Siemens Healthcare, Guangzhou, China, 2Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China

The aim of this study was to elucidate a multiple diffusion-model-based radiomics model in detecting radiation-induced brain injury (RI). We used diffusion features derived from DTI, DKI, NODDI and MAP-MRI models and chose LR as the classifier to construct a prediction model. The results showed that the most accurate prediction was achieved by incorporating the DKI-AD and RTPP into a nomogram, with AUC and accuracy reached 0.8356 and 0.8182.

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