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Performance of Multiparametric MRI of the Prostate in Biopsy Naïve Men: A Meta-analysis of Prospective Studies.

Authors :
Becerra MF
Alameddine M
Zucker I
Tamariz L
Palacio A
Nemeth Z
Velasquez MC
Savio LF
Panizzutti M
Jue JS
Soodana-Prakash N
Ritch CR
Gonzalgo ML
Parekh DJ
Punnen S
Source :
Urology [Urology] 2020 Dec; Vol. 146, pp. 189-195. Date of Electronic Publication: 2020 Sep 02.
Publication Year :
2020

Abstract

Objective: To assess the outcomes through systematic review and meta-analysis of multi-parametric magnetic resonance imaging (mpMRI) of the prostate in biopsy naïve men.<br />Methods: Systemic review and meta-analysis was performed to assess the performance of mpMRI on prostate cancer (PCa) detection at the time of biopsy. We used standard methods for performing a meta-analysis evaluating a diagnostic test and reported the pooled sensitivity and specificity, and the positive and negative likelihood ratios (LR) for mpMRI in the detection of any and clinically significant prostate cancer (csPCa).<br />Results: A total of 10 studies comprising 2486 patients were analyzed. Overall, if biopsies would have been performed only in men with an mpMRI suspicious for malignancy between 7.4% and 58.5% of the biopsies could have been avoided, but 2.3%-36% of any PCa and 0%-30.8% of csPCa would have been missed. The sensitivity, specificity, positive LR, and negative LR of mpMRI for any PCa detection were 0.86 (95% confidence interval [CI], 0.78-0.91), 0.67 (95% CI, 0.40-0.86), 2.6 (95% CI, 1.2-5.5), and 0.2 (95% CI, 0.12-0.32), respectively. The AUC for any PCa detection was 0.84 (95% CI, 0.75-0.90). The pooled sensitivity, specificity, positive LR, and negative LR of mpMRI for csPCa detection was 0.94 (95% CI, 0.83-0.98), 0.54 (95% CI, 0.42-0.65), 2 (95% CI, 1.5-2.7), and 0.1 (95% CI, 0.02-0.35), respectively. The AUC for csPCa detection was 0.94 (95% CI, 0.65-1).<br />Conclusion: This study provides summary estimates indicating that mpMRI can accurately detect prostate cancer and help avoid unnecessary biopsies in this population.<br /> (Copyright © 2020 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1527-9995
Volume :
146
Database :
MEDLINE
Journal :
Urology
Publication Type :
Academic Journal
Accession number :
32890616
Full Text :
https://doi.org/10.1016/j.urology.2020.06.102