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Abstract #3777

Diffusion weighted imaging-Based Radiomic Features of Distincting Low and High Grade of Pediatric Brain Tumors

TING YI1, Qiuhong MA1, QIFANG CAI1, Huiting Zhang2, Weian Wei1, Bing Gao1, and KE JIN1
1Hunan Children's Hospital, Changsha, China, 2Siemens Healthineers, Wuhan, China


This study investigated the feasibility of diffusion weighted imaging (DWI)-Based radiomic features in differential diagnosis of low- and high-grade pediatric brain tumors. The results showed that the DWI and apparent diffusion coefficient (ADC) combined model can effectively distinct low- and high-Grade pediatric brain tumors. This suggests that DWI sequence may facilitate brain tumor grading.

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