Mean diffusivity discriminates between prostate cancer with grade group 1&2 and grade groups equal to or greater than 3

Evaluation of Peripheral Zone Prostate Cancer Aggressiveness Using the Ratio of Diffusion Tensor Imaging Measures

“…Our results from 38 patients with 42 identified prostate cancer tumors demonstrate that strong negative correlations are observable between GS and MD based tumor DTI measures in agreement with [ 14 – 16 ] and the ratios of these measures. On the other hand, our results show weak positive correlations or no significant correlations between GS and FA based DTI measures including the ratios.…”

“…On the other hand, our results show weak positive correlations or no significant correlations between GS and FA based DTI measures including the ratios. Beside, contradicting correlations between GS and FA have been reported in the literature: strong positive correlation [ 14 ], weak correlation with a very low value of the correlation coefficient [ 15 ], or no significant correlation [ 16 ]. Among all measures studied, the ratio of minimum MD from prostate tumor foci and noncancerous PZ prostate tissue shows the highest correlation with GS.…”

“…Current clinical applications of DTI for prostate cancer are focused predominantly on differentiation of tumor from normal prostate gland [ 7 – 13 ] and slightly on the assessment of tumor aggressiveness with respect to GS [ 14 – 16 ]. A wide range of MD and FA values from prostate tumor foci has been reported.…”

Mapping prostatic microscopic anisotropy using linear and spherical b‐tensor encoding: A preliminary study

“…Note that we report MD values higher than expected from previous studies 41 . There are at least four different factors that could explain this: the data analysis model, the image resolution, the effective diffusion time, and the relaxation weighting.…”

Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings

“…All the seven T 2 w‐extracted radiomic features were highly ranked (1–7) by MRMR when compared to the ADC‐extracted attributes (8–10). Although a substantial number of recent publications reference the value of DWI for PCa grading, our findings might be explained by the lower initial resolution of the available ADC maps compared to the corresponding T 2 w scans.…”