Exploring the diagnostic potential of adding T2 dependence in diffusion-weighted MR imaging of the prostate.

Signal fraction estimates from a two-component model based on combined T2-DWI can differentiate between tumor and normal prostate tissue and show potential for prostate cancer diagnosis. The model performed similarly to conventional diffusion models.