RT Journal Article
SR Electronic
T1 S-PI-RADS and PI-RRADS for Biparametric MRI in the Detection of Prostate Cancer and Post-treatment Local Recurrence
JF Anticancer Research
JO Anticancer Res
FD International Institute of Anticancer Research
SP 297
OP 303
DO 10.21873/anticanres.16163
VO 43
IS 1
A1 SCIALPI, MICHELE
A1 MARTORANA, EUGENIO
A1 SCIALPI, PIETRO
A1 SCALERA, GIOVANNI BATTISTA
A1 BELATTI, EUGENIO
A1 AISA, MARIA CRISTINA
A1 D’ANDREA, ALFREDO
A1 MANCIOLI, FRANCESCO MARIA
A1 DI MARZO, ALESSANDRO
A1 TRIPPA, FABIO
A1 DI BLASI, ALDO
YR 2023
UL http://ar.iiarjournals.org/content/43/1/297.abstract
AB 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 <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.