Literature DB >> 28196723

Diagnostic Performance of Prostate Imaging Reporting and Data System Version 2 for Detection of Prostate Cancer: A Systematic Review and Diagnostic Meta-analysis.

Sungmin Woo1, Chong Hyun Suh2, Sang Youn Kim3, Jeong Yeon Cho4, Seung Hyup Kim4.   

Abstract

CONTEXT: In 2015, the updated Prostate Imaging Reporting and Data System version 2 (PI-RADSv2) for the detection of prostate cancer (PCa) was established. Since then, several studies assessing the value of PI-RADSv2 have been published.
OBJECTIVE: To review the diagnostic performance of PI-RADSv2 for the detection of PCa. EVIDENCE ACQUISITION: MEDLINE and EMBASE databases were searched up to December 7, 2016. We included diagnostic accuracy studies that used PI-RADSv2 for PCa detection, using prostatectomy or biopsy as the reference standard. The methodological quality was assessed by two independent reviewers using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Sensitivity and specificity of all studies were calculated. Results were pooled and plotted in a hierarchical summary receiver operating characteristic plot with further exploration using meta-regression and multiple subgroup analyses. Head-to-head comparison between PI-RADSv1 and PI-RADSv2 was performed for available studies. EVIDENCE SYNTHESIS: Twenty-one studies (3857 patients) were included. The pooled sensitivity was 0.89 (95% confidence interval [CI] 0.86-0.92) with specificity of 0.73 (95% CI 0.60-0.83) for PCa detection. Proportion of patients with PCa, magnetic field strength, and reference standard were significant factors affecting heterogeneity (p<0.01). Multiple subgroup analyses showed consistent results. In six studies performing head-to-head comparison, PI-RADSv2 demonstrated higher pooled sensitivity of 0.95 (95% CI 0.85-0.98) compared with 0.88 (95% CI 0.80-0.93) for PI-RADSv1 (p=0.04). However, the pooled specificity was not significantly different (0.73 [95% CI 0.47-0.89] vs 0.75 [95% CI 0.36-0.94], respectively; p=0.90).
CONCLUSIONS: PI-RADSv2 shows good performance for the detection of PCa. PI-RADSv2 has higher pooled sensitivity than PI-RADSv1 without significantly different specificity. PATIENT
SUMMARY: We reviewed all previous studies using Prostate Imaging Reporting and Data System version 2 (PI-RADSv2) for prostate cancer detection. We found that the updated PI-RADSv2 shows significant improvement compared with the original PI-RADSv1.
Copyright © 2017 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Magnetic resonance imaging; Meta-analysis; Prostate cancer; Prostate imaging reporting and data system version 2

Mesh:

Year:  2017        PMID: 28196723     DOI: 10.1016/j.eururo.2017.01.042

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  68 in total

Review 1.  Advances in Imaging in Prostate and Bladder Cancer.

Authors:  Abhishek Srivastava; Laura M Douglass; Victoria Chernyak; Kara L Watts
Journal:  Curr Urol Rep       Date:  2017-09       Impact factor: 3.092

2.  Multiparametric MRI Features and Pathologic Outcome of Wedge-Shaped Lesions in the Peripheral Zone on T2-Weighted Images of the Prostate.

Authors:  Aritrick Chatterjee; Sevil Tokdemir; Alexander J Gallan; Ambereen Yousuf; Tatjana Antic; Gregory S Karczmar; Aytekin Oto
Journal:  AJR Am J Roentgenol       Date:  2018-11-07       Impact factor: 3.959

Review 3.  Multiparametric MRI for prostate cancer diagnosis: current status and future directions.

Authors:  Armando Stabile; Francesco Giganti; Andrew B Rosenkrantz; Samir S Taneja; Geert Villeirs; Inderbir S Gill; Clare Allen; Mark Emberton; Caroline M Moore; Veeru Kasivisvanathan
Journal:  Nat Rev Urol       Date:  2019-07-17       Impact factor: 14.432

4.  Evaluation of prostate MRI: can machine learning provide support where radiologists need it?

Authors:  Alexander D J Baur; Tobias Penzkofer
Journal:  Eur Radiol       Date:  2019-05-09       Impact factor: 5.315

5.  Role of MRI for the detection of prostate cancer.

Authors:  Richard C Wu; Amir H Lebastchi; Boris A Hadaschik; Mark Emberton; Caroline Moore; Pilar Laguna; Jurgen J Fütterer; Arvin K George
Journal:  World J Urol       Date:  2021-01-04       Impact factor: 4.226

6.  Association of training level and outcome of software-based image fusion-guided targeted prostate biopsies.

Authors:  Niklas Westhoff; Henning Haumann; Maximilian Christian Kriegmair; Jost von Hardenberg; Johannes Budjan; Stefan Porubsky; Maurice Stephan Michel; Patrick Honeck; Manuel Ritter
Journal:  World J Urol       Date:  2018-12-17       Impact factor: 4.226

7.  How to make clinical decisions to avoid unnecessary prostate screening in biopsy-naïve men with PI-RADs v2 score ≤ 3?

Authors:  Yu Zhang; Na Zeng; FengBo Zhang; YangXinRui Huang; Ye Tian
Journal:  Int J Clin Oncol       Date:  2019-08-31       Impact factor: 3.402

8.  Diagnostic performance of 68Ga-PSMA PET/CT for identification of aggressive cribriform morphology in prostate cancer with whole-mount sections.

Authors:  Jie Gao; Chengwei Zhang; Qing Zhang; Yao Fu; Xiaozhi Zhao; Mengxia Chen; Bing Zhang; Danyan Li; Jiong Shi; Feng Wang; Hongqian Guo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-04-25       Impact factor: 9.236

Review 9.  PI-RADS v2: Current standing and future outlook.

Authors:  Clayton P Smith; Barış Türkbey
Journal:  Turk J Urol       Date:  2018-05-01

10.  Prostate Imaging-Reporting and Data System Steering Committee: PI-RADS v2 Status Update and Future Directions.

Authors:  Anwar R Padhani; Jeffrey Weinreb; Andrew B Rosenkrantz; Geert Villeirs; Baris Turkbey; Jelle Barentsz
Journal:  Eur Urol       Date:  2018-06-13       Impact factor: 20.096

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