S-PI-RADS and PI-RRADS for Biparametric MRI in the Detection of Prostate Cancer and Post-treatment Local Recurrence.

Prostate cancer magnetic resonance imaging prostate magnetic resonance imaging for local recurrence reporting (PI-RRADS) radiation therapy radical prostatectomy recurrence review simplified prostate magnetic resonance imaging for reporting (S-PI-RADS)

Journal

Anticancer research
ISSN: 1791-7530
Titre abrégé: Anticancer Res
Pays: Greece
ID NLM: 8102988

Informations de publication

Date de publication:
Jan 2023
Historique:
received: 30 10 2022
revised: 14 11 2022
accepted: 24 11 2022
entrez: 30 12 2022
pubmed: 31 12 2022
medline: 4 1 2023
Statut: ppublish

Résumé

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). Ιn category 3, two subcategories (3a: volume <0.5 cm

Identifiants

pubmed: 36585156
pii: 43/1/297
doi: 10.21873/anticanres.16163
doi:

Substances chimiques

Contrast Media 0
RRAD protein, human 0
ras Proteins EC 3.6.5.2

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

297-303

Commentaires et corrections

Type : ErratumIn

Informations de copyright

Copyright © 2023 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Auteurs

Michele Scialpi (M)

Division of Diagnostic Imaging, Department of Medicine and Surgery, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy; michelescialpi1@gmail.com.

Eugenio Martorana (E)

Division of Urology, Nuovo Ospedale Civile Sassuolo, Modena, Italy.

Pietro Scialpi (P)

Division of Urology, Portogruaro Hospital, Venice, Italy.

Giovanni Battista Scalera (GB)

Division of Diagnostic Imaging, Department of Medicine and Surgery, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy.

Eugenio Belatti (E)

Division of Diagnostic Imaging, Department of Medicine and Surgery, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy.

Maria Cristina Aisa (MC)

Division of Obstetrics and Gynaecology, Department of Medicine and Surgery, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy.

Alfredo D'Andrea (A)

Division of Radiology, Ospedale di Caserta, Caserta, Italy.

Francesco Maria Mancioli (FM)

Division of Radiology, Ospedale Santa Maria, Terni, Italy.

Alessandro DI Marzo (A)

Radiation Oncology Centre, Ospedale Santa Maria, Terni, Italy.

Fabio Trippa (F)

Radiation Oncology Centre, Ospedale Santa Maria, Terni, Italy.

Aldo DI Blasi (A)

Division of Radiology, Tivoli Hospital, Tivoli, Italy.

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Classifications MeSH