Differentiation of prostate cancer lesions in the Transition Zone by diffusion-weighted MRI  Jie Bao, Ximing Wang, Chunhong Hu, Jianquan Hou, Fenglin Dong, Lingchuan Guo  European Journal of Radiology Open  Volume 4, Pages 123-128 (January 2017) DOI: 10.1016/j.ejro.2017.08.003 Copyright © 2017 The Authors Terms and Conditions

Fig. 1 A representative PCa for the histogram analysis of DW imaging measures, it shows a heterogeneous low signal intensity (SI) on T2-weighted images(a) and high SI on corresponding DW images(b, c) (b=1000s/mm2); The D (d), D* (e) and f(f) were obtained, respectively. The tumour boundary was then outlined and the pixel-by-pixel D (g), D* (h) and f (i) were obtained, and the corresponding histogram distributions were constructed, respectively. European Journal of Radiology Open 2017 4, 123-128DOI: (10.1016/j.ejro.2017.08.003) Copyright © 2017 The Authors Terms and Conditions

Fig. 2 Receiver Operating Characteristic (ROC) curves which illustrate the performance of the statistically significant difference parameters when distinguishing between PCa and BHP in TZ(a); ROC curves of combination of parameters based on mean ADC and mean D(b). European Journal of Radiology Open 2017 4, 123-128DOI: (10.1016/j.ejro.2017.08.003) Copyright © 2017 The Authors Terms and Conditions