Contemporary Approach to Prostate Imaging and Data Reporting System Score 3 Lesions.


Journal

Radiologic clinics of North America
ISSN: 1557-8275
Titre abrégé: Radiol Clin North Am
Pays: United States
ID NLM: 0123703

Informations de publication

Date de publication:
Jan 2024
Historique:
medline: 27 11 2023
pubmed: 17 11 2023
entrez: 16 11 2023
Statut: ppublish

Résumé

The aim of this article is to review the technical and clinical considerations encountered with PI-RADS 3 lesions, which are equivocal for clinically significant Prostate Cancer (csPCa) with detection rates ranging between 10% and 35%. The number of PI-RADS 3 lesions reported vary according to several factors including MRI quality and radiologist training/expertise among the most influential. PI-RADS v.2.1 updated definitions for scores 2 and 3 in the PZ and scores 1 and 2 in the TZ is reviewed. The role of DWI role is highlighted in the assessment of the TZ with the possibility of upgrading score 2 lesions to score 3 based on DWI score. Given the increased utilization for prostate MRI, biparametric MRI can be considered as an alternative for low-risk patients where there is a need to rule out csPCa acknowledging this technique may increase the number of indeterminate cases going for biopsies. Management of patients with equivocal lesions at mpMRI and factors influencing biopsy decision process remain as an unmet need and additional studies using molecular/imaging markers as well as artificial intelligence tools are needed to further address their role in proper patient selection for biopsy.

Identifiants

pubmed: 37973244
pii: S0033-8389(23)00153-7
doi: 10.1016/j.rcl.2023.06.008
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

37-51

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Auteurs

Jorge Abreu-Gomez (J)

Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, 610 University Avenue, Suite 3-920, Toronto, ON M5G 2M9, Canada. Electronic address: jorgeandres.abreugomez@uhn.ca.

Christopher Lim (C)

Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Room AB 279, Toronto, ON M4N 3M5, Canada.

Masoom A Haider (MA)

Lunenfeld-Tanenbaum Research Institute, Sinai Health System and the Joint Department of Medical Imaging, Sinai Health System, Princess Margaret Hospital, University of Toronto, 600 University Avenue, Toronto, ON, Canada M5G 1X5.

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Classifications MeSH