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Published in: BMC Cancer 1/2019

Open Access 01-12-2019 | Prostate Cancer | Research article

Accuracy of multiparametric magnetic resonance imaging for diagnosing prostate Cancer: a systematic review and meta-analysis

Authors: Liang Zhen, Xiaoqiang Liu, Chen Yegang, Yang Yongjiao, Xu Yawei, Kang Jiaqi, Wang Xianhao, Song Yuxuan, Hu Rui, Zhang Wei, Ou Ningjing

Published in: BMC Cancer | Issue 1/2019

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Abstract

Background

The application of multiparametric magnetic resonance imaging (mpMRI) for diagnosis of prostate cancer has been recommended by the European Association of Urology (EAU), National Comprehensive Cancer Network (NCCN), and European Society of Urogenital Radiology (ESUR) guidelines. The purpose of this study is to systematically review the literature on assessing the accuracy of mpMRI in patients with suspicion of prostate cancer.

Method

We searched Embase, Pubmed and Cochrane online databases from January 12,000 to October 272,018 to extract articles exploring the possibilities that the pre-biopsy mpMRI can enhance the diagnosis accuracy of prostate cancer. The numbers of true- and false-negative results and true- and false-positive ones were extracted to calculate the corresponding sensitivity and specificity of mpMRI. Study quality was assessed using QUADAS-2 tool. Random effects meta-analysis and a hierarchical summary receiver operating characteristic (HSROC) plot were performed for further study.

Results

After searching, we acquired 3741 articles for reference, of which 29 studies with 8503 participants were eligible for inclusion. MpMRI maintained impressive diagnostic value, the area under the HSROC curve was 0.87 (95%CI,0.84–0.90). The sensitivity and specificity for mpMRI were 0.87 [95%CI, 0.81–0.91] and 0.68 [95%CI,0.56–0.79] respectively. The positive likelihood ratio was 2.73 [95%CI 1.90–3.90]; negative likelihood ratio was 0.19 [95% CI 0.14,-0.27]. The risk of publication bias was negligible with P = 0.96.

Conclusion

Results of the meta-analysis suggest that mpMRI is a sensitive tool to diagnose prostate cancer. However, because of the high heterogeneity existing among the included studies, further studies are needed to apply the results of this meta-analysis in clinic.
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Metadata
Title
Accuracy of multiparametric magnetic resonance imaging for diagnosing prostate Cancer: a systematic review and meta-analysis
Authors
Liang Zhen
Xiaoqiang Liu
Chen Yegang
Yang Yongjiao
Xu Yawei
Kang Jiaqi
Wang Xianhao
Song Yuxuan
Hu Rui
Zhang Wei
Ou Ningjing
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2019
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-019-6434-2

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