Literature DB >> 24703470

The value of magnetic resonance imaging in the detection of prostate cancer in patients with previous negative biopsies and elevated prostate-specific antigen levels: a meta-analysis.

Zai-Xian Zhang1, Jia Yang1, Cheng-Zhong Zhang1, Kang-An Li1, Qi-Meng Quan1, Xi-Fu Wang1, Han Wang1, Gui-Xiang Zhang2.   

Abstract

RATIONALE AND
OBJECTIVES: To assess the diagnostic performance of magnetic resonance imaging (MRI) for targeting prostate cancer in patients with previous negative biopsies and elevated prostate-specific antigen (PSA) levels.
MATERIALS AND METHODS: Pubmed, Scopus, and Cochrane Library databases were searched to identify suitable studies published from January 2001 to October 2013. Polled estimation and subgroup analysis data were obtained using a random effect model. Summary receiver operating characteristic curves were used to summarize overall test performance.
RESULTS: Fourteen studies involving 698 patients met the included criteria. The mean prostate cancer detection rate was 37.5%. Twelve studies had a pooled sensitivity, specificity, and diagnostic odds ratio (DOR) of 88%, 69%, and 16.84 by patient analysis, respectively. In the subgroup analysis, magnetic resonance imaging spectroscopy (MRSI) provided higher pooled sensitivity (91%) and specificity (69%) compared with T2-weighted imaging (T2WI). MRSI combined with MRI had the highest pooled specificity (73%). By site analysis, the pooled sensitivity, specificity, and DOR in nine studies were 57%, 90%, and 14.34, respectively. In the subgroup analysis, MRSI combined with MRI showed higher pooled sensitivity (58%) and specificity (93%) compared with T2WI. Diffusion-weighted MRI (DWI) showed the highest pooled specificity: 95% but the lowest pooled sensitivity: 38%.
CONCLUSIONS: A limited number of studies suggest that the value of MRI to target prostate cancer in patients with previous negative biopsies and elevated PSA levels appears significant. MRI combined with MRSI is particularly accurate. Further studies are necessary to confirm the eventual role of DWI in this field.
Copyright © 2014 AUR. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Meta-analysis; magnetic resonance imaging; prostate cancer

Mesh:

Substances:

Year:  2014        PMID: 24703470     DOI: 10.1016/j.acra.2014.01.004

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  10 in total

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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

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Authors:  Romaric Loffroy; Olivier Chevallier; Morgan Moulin; Sylvain Favelier; Pierre-Yves Genson; Pierre Pottecher; Gilles Crehange; Alexandre Cochet; Luc Cormier
Journal:  Quant Imaging Med Surg       Date:  2015-10

3.  Accuracy of Diffusion Weighted Images and MR Spectroscopy in Prostate Lesions - Our Experience with Endorectal Coil on 1.5 T MRI.

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Journal:  J Clin Diagn Res       Date:  2017-05-01

4.  Evidence-based guideline recommendations on multiparametric magnetic resonance imaging in the diagnosis of prostate cancer: A Cancer Care Ontario clinical practice guideline.

Authors:  Masoom A Haider; Xiaomei Yao; Andrew Loblaw; Antonio Finelli
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5.  Performance of prostate health index and PSA density in a diverse biopsy-naïve cohort with mpMRI for detecting significant prostate cancer.

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Review 6.  Role of Multiparametric MR Imaging in Malignancies of the Urogenital Tract.

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Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

Review 7.  Multiparametric-MRI in diagnosis of prostate cancer.

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Journal:  Indian J Urol       Date:  2015 Jul-Sep

8.  The Prostate Health Index adds predictive value to multi-parametric MRI in detecting significant prostate cancers in a repeat biopsy population.

Authors:  V J Gnanapragasam; K Burling; A George; S Stearn; A Warren; T Barrett; B Koo; F A Gallagher; A Doble; C Kastner; R A Parker
Journal:  Sci Rep       Date:  2016-10-17       Impact factor: 4.379

9.  Impact of the integration of proton magnetic resonance imaging spectroscopy to PI-RADS 2 for prediction of high grade and high stage prostate cancer.

Authors:  Michael S Leapman; Zhen J Wang; Spencer C Behr; John Kurhanewicz; Ronald J Zagoria; Peter R Carroll; Antonio C Westphalen
Journal:  Radiol Bras       Date:  2017 Sep-Oct

10.  Assessing the accuracy of multiparametric MRI to predict clinically significant prostate cancer in biopsy naïve men across racial/ethnic groups.

Authors:  Julio Meza; Rilwan Babajide; Ragheed Saoud; Jeanne M Horowitz; David D Casalino; Adam B Murphy; Jamila Sweis; Josephine Abelleira; Irene Helenowski; Borko Jovanovic; Scott Eggener; Frank H Miller
Journal:  BMC Urol       Date:  2022-07-18       Impact factor: 2.090

  10 in total

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