Li T, et al. - Via a retrospective study of 120 patients with breast lesions (62 malignant, 58 benign), researchers examined the performance of whole-volume histogram parameters derived from a diffusion kurtosis imaging (DKI) model for distinguishing benign and malignant breast lesions. The highest area under the curve, sensitivity, and accuracy was noted in K_max, D_min, and apparent diffusion coefficient (ADC)_min in their individual histogram parameter groups and K_max was discovered to outperform D_min and ADC_min. In all groups, ADC histogram parameters (from ADC_min to ADC_sd) were significantly lesser in comparison with D histogram parameters. For distinguishing benign from malignant tumors, K_max, D_min, and ADC_min were observed to be better metrics as that of the corresponding average values. In contrast with ADC parameters derived from the diffusion-weighted imaging model, histogram parameters derived from the DKI model gave more information and had better diagnostic performance.