Abstract #5168

Simultaneously Applying Multiple Diffusion Models to Predict Histologic Grade of Bladder Urothelial Carcinoma

Junting Guo¹, Lu Zhang¹, Shuo Li¹, Ding Li¹, Zhichang Fan¹, Meining Chen², Guoqiang Yang³, Yan Li³, Le Wang³, Bin Wang³, and Xiaochun Wang³

¹College of Medical Imaging, Shanxi Medical University, Taiyuan, China, ²MR Scientific Marketing, Siemens Healthcare, Shanghai, China, ³Department of Radiology, The First Hospital of Shanxi Medical University, Taiyuan, China

Synopsis

Keywords: Multi-Contrast, CancerTumor grading is the most important single prognostic factor for bladder urothelial carcinoma. In this study, we compared 5 diffusion models for assessing low- and high-grade in bladder urothelial carcinoma, including continuous-time random-walk (CTRW), incoherent motion within the voxel (IVIM), stretched exponential model (SEM), diffusion kurtosis imaging (DKI) and fractional-order calculus (FROC). The study found that CTRW_D, DKI_Dapp, DKI_Kapp, FROC_D, IVIM_D and SEM_DDC were significantly different between low- and high-grade bladder urothelial carcinoma and could distinguish one from the other.

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