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Abstract #1501

Models based on diffusion-weighted imaging in tumor staging and histologic grading of bladder cancer: A comparison study

Cong You1, Yujiao Zhao2, Cheng Zhang1, Mengyao Chen1, Jinxia Zhu3, Feifei Qu3, Thomas Benkert4, Robert Grimm4, and Wen Shen2
1The First Central Clinical School, Tianjin Medical University, Tianjin, China, 2Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China, 3MR Collaboration, Siemens Healthineers Ltd., Beijing, China, 4MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany

Synopsis

Keywords: Urogenital, Diffusion/other diffusion imaging techniques, bladder cancer; diffusion-weighted imaging; monoexponential model;intravoxel incoherence motion;diffusion kurtosis imagingThis comparative study aimed to investigate the ability of Gaussian distribution models, including monoexponential model (MEM) and intravoxel incoherence motion (IVIM), and non-Gaussian diffusion kurtosis models to differentiate the pathologic stages and histologic grades of bladder cancer. The results indicated that the diffusion kurtosis imaging (DKI) parameters had the highest diagnostic performance. The mean kurtosis (MK) value among individual parameters and the combination of MK and mean diffusivity (MD) among combined values had the largest area under the curves. Also, the MK values were most strongly correlated with the Ki-67 labeling index.

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