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This 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.
You et al. (Wed,) studied this question.