Abstract #1862

Sub-differentiation of PI-RADS 3 lesions in TZ by advanced diffusion-weighted imaging to aid the biopsy decision process

Kun-Peng Zhou¹, Jie Bian², Hua-Bin Huang¹, Chao Bu¹, and Li-Zhi Xie³

¹Radiology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China, ²Radiology, the second hospital of dalian medical university, dalian, China, ³GE Healthcare, Beijing, China, Beijing, China

Synopsis

Keywords: Prostate, ProstateThe aim of this study was to investigate the use of advanced diffusion-weighted imaging (IVIM, stretched exponential model and DKI) to sub-differentiation of TZ PI-RADS 3 lesions and aid the biopsy decision process. Finally, the logistic model could correctly classify 89.39% of the subjects. The results of ROC analysis showed that AUC was 0.9197, CI 95%: 0.8736-0.9659. Sensitivity, specificity, positive predictive value and negative predictive value were 92.1%, 80.4%, 93.9% and 75.5%, respectively. Therefore, advanced diffusion-weighted imaging can predict PCa in TZ PI-RADS 3 lesions and inform the decision-making process of whether or not to perform a biopsy.

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