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Emerging role of multiparametric magnetic resonance imaging in identifying clinically relevant localized prostate cancer.

Authors :
Williams C
Daneshvar M
Pinto P
Source :
Current opinion in oncology [Curr Opin Oncol] 2021 May 01; Vol. 33 (3), pp. 244-251.
Publication Year :
2021

Abstract

Purpose of Review: To explore the recent advances and utility of multiparametric magnetic resonance imaging (mpMRI) in the diagnosis and risk-stratification of prostate cancer.<br />Recent Findings: Low-risk, clinically insignificant prostate cancer has a decreased risk of morbidity or mortality. Meanwhile, patients with intermediate and high-risk prostate cancer may significantly benefit from interventions like radiation or surgery. To appropriately risk stratify these patients, MRI has emerged as the imaging modality in the last decade to assist in defining prostate cancer significance, location, and biologic aggressiveness. Traditional 12-core transrectal ultrasound-guided biopsy is associated with over-detection, and ultimately over-treatment of clinically insignificant disease, and the under-detection of clinically significant disease. Biopsy accuracy is improved with MRI-guided targeted biopsy and with the use of standardized risk stratification imaging score systems. Cancer detection accuracy is further improved with combined biopsy techniques that include both systematic and MRI-targeted biopsy that aid in detection of MRI-invisible lesions.<br />Summary: mpMRI is an area of expanding innovation that continues to refine the diagnostic accuracy of prostate biopsies. As mpMRI-targeted biopsy in prostate cancer becomes more commonplace, advances like artificial intelligence and less invasive dynamic metabolic imaging will continue to improve the utility of MRI.<br /> (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Details

Language :
English
ISSN :
1531-703X
Volume :
33
Issue :
3
Database :
MEDLINE
Journal :
Current opinion in oncology
Publication Type :
Academic Journal
Accession number :
33606404
Full Text :
https://doi.org/10.1097/CCO.0000000000000717