Purpose: To determine if diffusion tensor imaging (DTI) parameters can differentiate metastatic from reactive axillary lymph nodes (ALNs) in patients with breast cancer. Methods: Prospective study was done on 48 patients with breast cancer that were examined by DTI of the breast. The mean diffusivity (MD) and fractional anisotropy (FA) of ALNs were calculated by 2 observers. The final diagnosis was obtained by biopsy. Results: Metastatic nodes (n=50) had significantly lower MD (p = 0.001, 0.001) and higher FA (p = 0.002, 0.01) than reactive (n=20) nodes for both observers respectively. When threshed of MD (0.875, 0.815 X10-3 mm2/s) was used for differentiation of both entities revealed accuracy (80 %, 81.4 %) and had AUC of 0.920 and 0.918 by both observers respectively. When threshold FA (0.565, 0.645) was used for differentiation revealed an accuracy of 87.1%, 81.4% and had AUC of 0.860 and 0.870 by both observers respectively. Combined FA and MD had AUC 0.940, 0.950) with an accuracy of 91.4%, 92.9% for both observers respectively. Conclusion: Combined analysis DTI parameters FA may play a role in differentiation of metastatic from reactive ALNs in patients with breast cancer.

Purpose: to demonstrate role of diffusion tensor imaging (DTI) in diagnosis of pediatric chronic kidney disease (CKD) using fraction anisotropy (FA) and apparent diffusion coefficient (ADC). Material and methods: Prospective study done on 35 CKD patients (19 boys, 16 girls; mean age 12.2±2.7 years) and 19 age and sex-matched volunteers. Patients with sclerotic (n = 25) and non-sclerotic (n= 10) CKD that underwent DTI of kidney. Results: Mean FA of renal cortex/ medulla in CKD (0.20±0.07, and 0.18±0.08) was significantly lower (p = 0.001) from volunteers (0.27±0.08, 0.31±0.09). Cutoff renal FA of cortex/ medulla used for diagnosis of CKD was 0.23, and 0.22 with AUC of 0.828, 0.828 and accuracy of 82.9%, 80.7%. Mean ADC of renal cortex/ medulla in CKD (1.98±0.23 and 2.03±0.23 X10-3mm2/s) was significantly higher (p = 0.001) that of volunteers (1.65±0.134 and 1.68±0.16 X10-3mm2/s. Cutoff renal ADC of cortex/medulla used to diagnosis of CKD were 1.75 and 1.85X10-3mm2/s with AUC of 0.828, 0.910, 0.828 and 0.81 and accuracy of 82.9%, 84.1%, 80.7% and 79.5%. FA of renal cortex/medulla in sclerotic CKD was significantly different (p = 0.001) than non-sclerotic CKD (0.26±0.07 and 0.25±0.08). The FA of renal cortex/medulla in CKD patients correlated with serum creatinine (r = -0.468; p = 0.000, r =-0.381; p = 0.001), e GFR (r = 0.364; p = 0.002, r = 0.318; p = 0.007). Conclusion: FA and ADC of renal cortex/ medulla can help in diagnosis of CKD, FA cortex/ medulla predicts sclerotic CKD and correlated with some of serum biomarkers.