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Published in: European Radiology 12/2017

01-12-2017 | Urogenital

A meta-analysis of use of Prostate Imaging Reporting and Data System Version 2 (PI-RADS V2) with multiparametric MR imaging for the detection of prostate cancer

Authors: Li Zhang, Min Tang, Sipan Chen, Xiaoyan Lei, Xiaoling Zhang, Yi Huan

Published in: European Radiology | Issue 12/2017

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Abstract

Objectives

This meta-analysis was undertaken to review the diagnostic accuracy of PI-RADS V2 for prostate cancer (PCa) detection with multiparametric MR (mp-MR).

Methods

A comprehensive literature search of electronic databases was performed by two observers independently. Inclusion criteria were original research using the PI-RADS V2 system in reporting prostate MRI. The methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Data necessary to complete 2 × 2 contingency tables were obtained from the included studies.

Results

Thirteen studies (2,049 patients) were analysed. This is an initial meta-analysis of PI-RADs V2 and the overall diagnostic accuracy in diagnosing PCa was as follows: pooled sensitivity, 0.85 (0.78–0.91); pooled specificity, 0.71 (0.60–0.80); pooled positive likelihood ratio (LR+), 2.92 (2.09–4.09); pooled negative likelihood ratio (LR–), 0.21 (0.14–0.31); pooled diagnostic odds ratio (DOR), 14.08 (7.93–25.01), respectively. Positive predictive values ranged from 0.54 to 0.97 and negative predictive values ranged from 0.26 to 0.92.

Conclusion

Currently available evidence indicates that PI-RADS V2 appears to have good diagnostic accuracy in patients with PCa lesions with high sensitivity and moderate specificity. However, no recommendation regarding the best threshold can be provided because of heterogeneity.

Key Points

PI-RADS V2 shows good diagnostic accuracy for PCa detection.
Initially pooled specificity of PI-RADS v2 remains moderate.
PCa detection is increased by experienced radiologists.
There is currently a high heterogeneity in prostate diagnostics with MRI.
Literature
1.
go back to reference Ferlay J, Shin HR, Bray F et al (2010) Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer 127(12):2893–2917CrossRefPubMed Ferlay J, Shin HR, Bray F et al (2010) Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer 127(12):2893–2917CrossRefPubMed
3.
go back to reference Fütterer JJ, Briganti A, De Visschere P et al (2015) Can clinically significant prostate cancer be detected with multiparametric magnetic resonance imaging? a systematic review of the literature. Eur Urol 68(6):1045–1053CrossRefPubMed Fütterer JJ, Briganti A, De Visschere P et al (2015) Can clinically significant prostate cancer be detected with multiparametric magnetic resonance imaging? a systematic review of the literature. Eur Urol 68(6):1045–1053CrossRefPubMed
4.
go back to reference Weinreb JC, Barentsz JO, Choyke PL et al (2016) PI-RADS Prostate Imaging – Reporting and Data System: 2015, Version 2. Eur Urol 69:16–40CrossRefPubMed Weinreb JC, Barentsz JO, Choyke PL et al (2016) PI-RADS Prostate Imaging – Reporting and Data System: 2015, Version 2. Eur Urol 69:16–40CrossRefPubMed
5.
go back to reference Lin WC, Muglia VF, Silva GEB et al (2016) Multiparametric MRI of the prostate: diagnostic performance and interreader agreement of two scoring systems. Br J Radiol 89(1062):1–10CrossRef Lin WC, Muglia VF, Silva GEB et al (2016) Multiparametric MRI of the prostate: diagnostic performance and interreader agreement of two scoring systems. Br J Radiol 89(1062):1–10CrossRef
6.
go back to reference Vache T, Bratan F, Mege-lechevallier F et al (2014) Characterization of prostate lesions as benign or malignant at multiparametric MR imaging: comparison of three scoring systems in patients treated with radical prostatectomy. Radiology 272(11):446–455CrossRefPubMed Vache T, Bratan F, Mege-lechevallier F et al (2014) Characterization of prostate lesions as benign or malignant at multiparametric MR imaging: comparison of three scoring systems in patients treated with radical prostatectomy. Radiology 272(11):446–455CrossRefPubMed
7.
go back to reference Baris T, Haresh M, Omer A et al (2013) Prostate cancer:can multiparametric mr imaging help identify patients who are candidates for active surveillance? Radiology 268(11):144–152 Baris T, Haresh M, Omer A et al (2013) Prostate cancer:can multiparametric mr imaging help identify patients who are candidates for active surveillance? Radiology 268(11):144–152
8.
go back to reference Rastinehad AR, Waingankar N, Turkbe B et al (2015) Comparison of Multiparametric MRI Scoring Systems and the Impact on Cancer Detection in Patients Undergoing MR US Fusion Guided Prostate Biopsies. PLoS One 10(11):1–16CrossRef Rastinehad AR, Waingankar N, Turkbe B et al (2015) Comparison of Multiparametric MRI Scoring Systems and the Impact on Cancer Detection in Patients Undergoing MR US Fusion Guided Prostate Biopsies. PLoS One 10(11):1–16CrossRef
9.
go back to reference Hamoen EH, de Rooij M, Witjes JA et al (2014) Use of the prostate imaging reporting and data system (PI-RADS) for prostate cancer detection with multiparametric magnetic resonance imaging: a diagnostic meta-analysis. Eur Urol 67:1112–1121CrossRefPubMed Hamoen EH, de Rooij M, Witjes JA et al (2014) Use of the prostate imaging reporting and data system (PI-RADS) for prostate cancer detection with multiparametric magnetic resonance imaging: a diagnostic meta-analysis. Eur Urol 67:1112–1121CrossRefPubMed
10.
go back to reference Renard-Penna R, Mozer P, Cornud F et al (2015) Prostate imaging reporting and data system and likert scoring system: multiparametric MR imaging validation study to screen patients for initial biopsy. Radiology 275(2):458–468CrossRefPubMed Renard-Penna R, Mozer P, Cornud F et al (2015) Prostate imaging reporting and data system and likert scoring system: multiparametric MR imaging validation study to screen patients for initial biopsy. Radiology 275(2):458–468CrossRefPubMed
11.
go back to reference Roethke MC, Kuru TH, Schultze S et al (2014) Evaluation of the ESUR PI-RADS scoring system for multiparametric MRI of the prostate with targeted MR/TRUS fusion-guided biopsy at 3.0 Tesla. Eur Radiol 24(2):344–352CrossRefPubMed Roethke MC, Kuru TH, Schultze S et al (2014) Evaluation of the ESUR PI-RADS scoring system for multiparametric MRI of the prostate with targeted MR/TRUS fusion-guided biopsy at 3.0 Tesla. Eur Radiol 24(2):344–352CrossRefPubMed
12.
go back to reference Schimmoller L, Quentin M, Arsov C et al (2014) Predictive power of the ESUR scoring system for prostate cancer diagnosis verified with targeted MR-guided in-bore biopsy. Eur J Radiol 83(12):2103–2108CrossRefPubMed Schimmoller L, Quentin M, Arsov C et al (2014) Predictive power of the ESUR scoring system for prostate cancer diagnosis verified with targeted MR-guided in-bore biopsy. Eur J Radiol 83(12):2103–2108CrossRefPubMed
13.
go back to reference Baur ADJ, Maxeiner A, Franiel T et al (2014) Evaluation of the prostate imaging reporting and data system for the detection of prostate cancer by the results of targeted biopsy of the prostate. Investig Radiol 49(6):411–420CrossRef Baur ADJ, Maxeiner A, Franiel T et al (2014) Evaluation of the prostate imaging reporting and data system for the detection of prostate cancer by the results of targeted biopsy of the prostate. Investig Radiol 49(6):411–420CrossRef
14.
go back to reference Hamoen EH, de Rooij M, Witjes JA et al (2015) Use of the Prostate Imaging Reporting and Data System (PI-RADS) for Prostate Cancer Detection with Multiparametric Magnetic Resonance Imaging: A Diagnostic Meta-analysis. Eur Urol 67(6):1112–1121CrossRefPubMed Hamoen EH, de Rooij M, Witjes JA et al (2015) Use of the Prostate Imaging Reporting and Data System (PI-RADS) for Prostate Cancer Detection with Multiparametric Magnetic Resonance Imaging: A Diagnostic Meta-analysis. Eur Urol 67(6):1112–1121CrossRefPubMed
15.
go back to reference Moher D, Liberati A, Tetzlaff J et al (2010) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Int J Surg 8(5):336–341CrossRefPubMed Moher D, Liberati A, Tetzlaff J et al (2010) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Int J Surg 8(5):336–341CrossRefPubMed
16.
go back to reference Whiting PF, Rutjes AW, Westwood ME et al (2011) QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 155:529–536CrossRefPubMed Whiting PF, Rutjes AW, Westwood ME et al (2011) QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 155:529–536CrossRefPubMed
18.
go back to reference Reitsma JB, Glas AS, Rutjes AW et al (2005) Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. J Clin Epidemiol 58:982–990CrossRefPubMed Reitsma JB, Glas AS, Rutjes AW et al (2005) Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. J Clin Epidemiol 58:982–990CrossRefPubMed
20.
go back to reference Deeks JJ, Macaskill P, Rwig L (2005) The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed. J Clin Epidemiol 58:882–893CrossRefPubMed Deeks JJ, Macaskill P, Rwig L (2005) The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed. J Clin Epidemiol 58:882–893CrossRefPubMed
21.
go back to reference Washino S, Okochi T, Saitoet K et al (2016) Combination of PI-RADS score and PSA density predicts biopsy outcome in biopsy naive patients. BJU Int 2:1–9 Washino S, Okochi T, Saitoet K et al (2016) Combination of PI-RADS score and PSA density predicts biopsy outcome in biopsy naive patients. BJU Int 2:1–9
22.
go back to reference Li BS, Wang L, Deng M et al (2016) The correlation between multi-parametric MRI of prostate imaging reporting and data system score and transrectal ultrasound guided needle biopsy. Chin J Magn Reson Imaging 7:5321–5326 Li BS, Wang L, Deng M et al (2016) The correlation between multi-parametric MRI of prostate imaging reporting and data system score and transrectal ultrasound guided needle biopsy. Chin J Magn Reson Imaging 7:5321–5326
23.
go back to reference Polanec S, Helbich TH, Bickel H et al (2016) Head-to-head comparison of PI-RADS v2 and PI-RADS vl. Eur J Radiol 85(6):1125–1131CrossRefPubMed Polanec S, Helbich TH, Bickel H et al (2016) Head-to-head comparison of PI-RADS v2 and PI-RADS vl. Eur J Radiol 85(6):1125–1131CrossRefPubMed
24.
go back to reference Park SY, Jung DC, Oh YT et al (2016) Prostate Cancer: PI-RADS Version 2 Helps Preoperatively Predict Clinically Significant Cancers. Radiology 280(1):108–116CrossRefPubMed Park SY, Jung DC, Oh YT et al (2016) Prostate Cancer: PI-RADS Version 2 Helps Preoperatively Predict Clinically Significant Cancers. Radiology 280(1):108–116CrossRefPubMed
25.
go back to reference Mertan FV, Greer MD, Shih JH et al (2016) Prospective Evaluation of the Prostate Imaging Reporting and Data System Version 2 for Prostate Cancer Detection. J Urol 196(3):690–696CrossRefPubMed Mertan FV, Greer MD, Shih JH et al (2016) Prospective Evaluation of the Prostate Imaging Reporting and Data System Version 2 for Prostate Cancer Detection. J Urol 196(3):690–696CrossRefPubMed
26.
go back to reference Meier-Schroers M, Kukuk G, Wolter K et al (2016) Differentiation of prostatitis and prostate cancer using the Prostate Imaging-Reporting and Data System (PI-RADS). Eur J Radiol 85(7):1304–1311CrossRefPubMed Meier-Schroers M, Kukuk G, Wolter K et al (2016) Differentiation of prostatitis and prostate cancer using the Prostate Imaging-Reporting and Data System (PI-RADS). Eur J Radiol 85(7):1304–1311CrossRefPubMed
27.
go back to reference Kasel-Seibert M, Lehmann T, Aschenbach R et al (2016) Assessment of PI-RADS V2 for the Detection of Prostate Cancer. Eur J Radiol 85(4):726–731CrossRefPubMed Kasel-Seibert M, Lehmann T, Aschenbach R et al (2016) Assessment of PI-RADS V2 for the Detection of Prostate Cancer. Eur J Radiol 85(4):726–731CrossRefPubMed
28.
go back to reference Baldisserotto M, Neto EJ, Carvalhal G et al (2016) Validation of PI-RADS V2 for prostate cancer diagnosis with MRI at 3T using an external phased-array coil. J Magn Reson Imaging 44(5):1354–1359CrossRefPubMed Baldisserotto M, Neto EJ, Carvalhal G et al (2016) Validation of PI-RADS V2 for prostate cancer diagnosis with MRI at 3T using an external phased-array coil. J Magn Reson Imaging 44(5):1354–1359CrossRefPubMed
29.
go back to reference Li P. (2015) The preliminary evaluation of PI-RADS v2 and Likert scale in the diagnosis of prostate cancer using mp-MRI. Suzhou University Li P. (2015) The preliminary evaluation of PI-RADS v2 and Likert scale in the diagnosis of prostate cancer using mp-MRI. Suzhou University
30.
go back to reference Muller BG, Shih JH, Sankineni S et al (2015) Prostate Cancer: Interobserver Agreement and Accuracy with the Revised Prostate Imaging Reporting and Data System at Multiparametric MR Imaging. Radiology 277(3):741–750CrossRefPubMedPubMedCentral Muller BG, Shih JH, Sankineni S et al (2015) Prostate Cancer: Interobserver Agreement and Accuracy with the Revised Prostate Imaging Reporting and Data System at Multiparametric MR Imaging. Radiology 277(3):741–750CrossRefPubMedPubMedCentral
31.
go back to reference Zhao CL, Gao G, Fang D et al (2016) The effi ciency of multiparametric magnetic resonance imaging (mpMRI) using PI-RADS Version 2 in the diagnosis of clinically significant prostate cancer. Clin Imaging 40:885–888CrossRefPubMed Zhao CL, Gao G, Fang D et al (2016) The effi ciency of multiparametric magnetic resonance imaging (mpMRI) using PI-RADS Version 2 in the diagnosis of clinically significant prostate cancer. Clin Imaging 40:885–888CrossRefPubMed
32.
go back to reference Shah ZK, Elias SN, Abaza R et al (2015) Performance comparison of 1.5-T endorectal coil MRI with 3.0-T nonendorectal coil MRI in patients with prostate cancer. Acad Radiol 22(4):467–74.33. Shah ZK, Elias SN, Abaza R et al (2015) Performance comparison of 1.5-T endorectal coil MRI with 3.0-T nonendorectal coil MRI in patients with prostate cancer. Acad Radiol 22(4):467–74.33.
33.
go back to reference Sertdemir M, Schoenberg SO, Sourbron S, et al. (2013) Interscanner comparison of dynamic contrast-enhanced MRI in prostate cancer: 1.5 versus 3 T MRI. Invest Radiol 48(2):92–97 Sertdemir M, Schoenberg SO, Sourbron S, et al. (2013) Interscanner comparison of dynamic contrast-enhanced MRI in prostate cancer: 1.5 versus 3 T MRI. Invest Radiol 48(2):92–97
34.
go back to reference de Rooij M, Hamoen EH, Futterer JJ et al (2014) Accuracy of multiparametric MRI for prostate cancer detection: a meta-analysis. Am J Roentgenol 202:343–351CrossRef de Rooij M, Hamoen EH, Futterer JJ et al (2014) Accuracy of multiparametric MRI for prostate cancer detection: a meta-analysis. Am J Roentgenol 202:343–351CrossRef
Metadata
Title
A meta-analysis of use of Prostate Imaging Reporting and Data System Version 2 (PI-RADS V2) with multiparametric MR imaging for the detection of prostate cancer
Authors
Li Zhang
Min Tang
Sipan Chen
Xiaoyan Lei
Xiaoling Zhang
Yi Huan
Publication date
01-12-2017
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 12/2017
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-017-4843-7

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