Negative Predictive Value of Multiparametric Magnetic Resonance Imaging in the Detection of Clinically Significant Prostate Cancer in the Prostate Imaging Reporting and Data System Era: A Systematic Review and Meta-analysis.

Biopsy Diagnosis Multiparametric magnetic resonance imaging Negative predictive value Prostate cancer Prostate-specific antigen

Journal

European urology
ISSN: 1873-7560
Titre abrégé: Eur Urol
Pays: Switzerland
ID NLM: 7512719

Informations de publication

Date de publication:
09 2020
Historique:
received: 29 07 2019
accepted: 28 03 2020
pubmed: 24 5 2020
medline: 16 7 2021
entrez: 24 5 2020
Statut: ppublish

Résumé

Prebiopsy multiparametric magnetic resonance imaging (mpMRI) is increasingly used in prostate cancer diagnosis. The reported negative predictive value (NPV) of mpMRI is used by some clinicians to aid in decision making about whether or not to proceed to biopsy. We aim to perform a contemporary systematic review that reflects the latest literature on optimal mpMRI techniques and scoring systems to update the NPV of mpMRI for clinically significant prostate cancer (csPCa). We conducted a systematic literature search and included studies from 2016 to September 4, 2019, which assessed the NPV of mpMRI for csPCa, using biopsy or clinical follow-up as the reference standard. To ensure that studies included in this analysis reflect contemporary practice, we only included studies in which mpMRI findings were interpreted according to the Prostate Imaging Reporting and Data System (PIRADS) or similar Likert grading system. We define negative mpMRI as either (1) PIRADS/Likert 1-2 or (2) PIRADS/Likert 1-3; csPCa was defined as either (1) Gleason grade group ≥2 or (2) Gleason grade group ≥3. We calculated NPV separately for each combination of negative mpMRI and csPCa. A total of 42 studies with 7321 patients met our inclusion criteria and were included for analysis. Using definition (1) for negative mpMRI and csPCa, the pooled NPV for biopsy-naïve men was 90.8% (95% confidence interval [CI] 88.1-93.1%). When defining csPCa using definition (2), the NPV for csPCa was 97.1% (95% CI 94.9-98.7%). Calculation of the pooled NPV using definition (2) for negative mpMRI and definition (1) for csPCa yielded the following: 86.8% (95% CI 80.1-92.4%). Using definition (2) for both negative mpMRI and csPCa, the pooled NPV from two studies was 96.1% (95% CI 93.4-98.2%). Multiparametric MRI of the prostate is generally an accurate test for ruling out csPCa. However, we observed heterogeneity in the NPV estimates, and local institutional data should form the basis of decision making if available. The negative predictive values should assist in decision making for clinicians considering not proceeding to biopsy in men with elevated age-specific prostate-specific antigen and multiparametric magnetic resonance imaging reported as negative (or equivocal) on Prostate Imaging Reporting and Data System/Likert scoring. Some 7-10% of men, depending on the setting, will miss a diagnosis of clinically significant cancer if they do not proceed to biopsy. Given the institutional variation in results, it is of upmost importance to base decision making on local data if available.

Identifiants

pubmed: 32444265
pii: S0302-2838(20)30223-2
doi: 10.1016/j.eururo.2020.03.048
pii:
doi:

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

402-414

Subventions

Organisme : Wellcome Trust
ID : 204998/Z/16/Z
Pays : United Kingdom

Informations de copyright

Copyright © 2020 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Auteurs

Niranjan J Sathianathen (NJ)

Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, Australia; Department of Urology, University of Minnesota, Minneapolis, MN, USA. Electronic address: niranjan19@gmail.com.

Altan Omer (A)

Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.

Eli Harriss (E)

University of Oxford, Bodleian Health Care Libraries, Oxford, UK.

Lucy Davies (L)

Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.

Veeru Kasivisvanathan (V)

Department of Urology, University College London Hospital, London, UK.

Shonit Punwani (S)

Department of Urology, University College London Hospital, London, UK.

Caroline M Moore (CM)

Department of Urology, University College London Hospital, London, UK.

Christof Kastner (C)

CamPARI Clinic, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.

Tristan Barrett (T)

CamPARI Clinic, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.

Roderick Cn Van Den Bergh (RC)

Department of Urology, Utrecht Medical Centre, Utrecht, The Netherlands.

Ben A Eddy (BA)

Department of Urology, Canterbury Hospital, Canterbury, Kent, UK.

Fergus Gleeson (F)

Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.

Ruth Macpherson (R)

Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.

Richard J Bryant (RJ)

Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.

James W F Catto (JWF)

University of Sheffield, Sheffield, UK.

Declan G Murphy (DG)

Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, Australia.

Freddie C Hamdy (FC)

Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.

Hashim U Ahmed (HU)

Department of Surgery and Cancer, Division of Surgery, Faculty of Medicine, Imperial College London, London, UK.

Alastair D Lamb (AD)

Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.

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