Abstract #1745

Tumor habitat-derived diffusion spectrum imaging features in evaluating gliomas-A comparative study with DKI

Shanmei Zeng¹, Zuliwei Ma¹, Hui Ma², Dingxiang Xie², Yingqian Huang², Mengzhu Wang³, Wenting Zeng¹, Fangzeng Lin¹, Zhiyun Yang¹, Jianping Chu¹, and Jing Zhao¹

¹Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China, ²Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China, ³MR Scientific Marketing, Siemens Healthineers Ltd., Guangzhou, Guangdong, China

Synopsis

Keywords: Tumors, TumorCurrently, in diffuse glioma, in addition to histopathology, the molecular features have an important role in glioma diagnosis. As a new computing framework for diffusion spectrum imaging (DSI), mean apparent propagator (MAP) could investigate more subtle information of tumor microstructures than the Gaussian diffusion models, while MAP has not been studied much in glioma. Besides, the analysis of tumor habitat could reflect the glioma heterogeneity. Hence, we aim to analyze the tumor habitat-derived MAP metrics and further explore their clinical value in glioma evaluation, meanwhile, we introduce Diffusion-kurtosis imaging (DKI) as a reference to compare the diagnostic efficiency of DSI.

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