<?xml version='1.0' encoding='UTF-8'?><xml><records><record><source-app name="HighWire" version="7.x">Drupal-HighWire</source-app><ref-type name="Journal Article">17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">SCIALPI, MICHELE</style></author><author><style face="normal" font="default" size="100%">MARTORANA, EUGENIO</style></author><author><style face="normal" font="default" size="100%">SCIALPI, PIETRO</style></author><author><style face="normal" font="default" size="100%">SCALERA, GIOVANNI BATTISTA</style></author><author><style face="normal" font="default" size="100%">BELATTI, EUGENIO</style></author><author><style face="normal" font="default" size="100%">AISA, MARIA CRISTINA</style></author><author><style face="normal" font="default" size="100%">D’ANDREA, ALFREDO</style></author><author><style face="normal" font="default" size="100%">MANCIOLI, FRANCESCO MARIA</style></author><author><style face="normal" font="default" size="100%">DI MARZO, ALESSANDRO</style></author><author><style face="normal" font="default" size="100%">TRIPPA, FABIO</style></author><author><style face="normal" font="default" size="100%">DI BLASI, ALDO</style></author></authors><secondary-authors></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">S-PI-RADS and PI-RRADS for Biparametric MRI in the Detection of Prostate Cancer and Post-treatment Local Recurrence</style></title><secondary-title><style face="normal" font="default" size="100%">Anticancer Research</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2023</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2023-01-01 00:00:00</style></date></pub-dates></dates><pages><style  face="normal" font="default" size="100%">297-303</style></pages><doi><style  face="normal" font="default" size="100%">10.21873/anticanres.16163</style></doi><volume><style face="normal" font="default" size="100%">43</style></volume><issue><style face="normal" font="default" size="100%">1</style></issue><abstract><style  face="normal" font="default" size="100%">The application of biparametric magnetic resonance imaging (bpMRI) [T2-weighted (T2W) and diffusion weighted imaging (DWI)/apparent diffusion coefficient (ADC)] using dedicated structured methods, such as Simplified Prostate Imaging Reporting and Data System (S-PI-RADS) for the detection, categorization, and management of prostate cancer (PCa) is reported. Also, Prostate Imaging Reporting for Local Recurrence and Data System (PI-RRADS) for the detection and assessment of the probability of local recurrence after radiotherapy (RT) or radical prostatectomy (RP) in patients with biochemical recurrence (BCR) is proposed. Both S-PI-RADS and PI-RRADS assign to DWI/ADC a main role for the above purpose. S-PI-RADS identifies four categories and, on the basis of the qualitative and quantitative analysis of the restricted diffusion on ADC map and lesion volume, distinguishes two categories of lesions: category 3 (moderately homogeneous hypointense on ADC map) and category 4 (markedly homogeneous or inhomogeneous hypointense on ADC map). In category 3, two subcategories (3a: volume &lt;0.5 cm3 and 3b: volume ≥0.5 cm3) suggesting clinical management. PI-RRADS distinguishes four assessment categories and suggests the stratification of the probability (ranging from very low for category 1 to very high for category 4) of local disease recurrence. In clinical practice, S-PI-RADS and PI-RRADS, based on bpMRI represent a potential valid approach that may facilitates the detection and management of PCa and for detecting local recurrence after treatment improving communication with other professionals.</style></abstract></record></records></xml>