Literature DB >> 22958718

Usefulness of diffusion-weighted magnetic resonance imaging in the diagnosis of prostate cancer.

Lian-Ming Wu1, Jian-Rong Xu, Hai-Yan Gu, Jia Hua, Jie Chen, Wei Zhang, Jiong Zhu, Yong-Quan Ye, Jiani Hu.   

Abstract

RATIONALE AND
OBJECTIVES: The aim of this study was to evaluate the diagnostic accuracy of diffusion-weighted magnetic resonance imaging (DWI) in prostate cancer.
MATERIALS AND METHODS: The MEDLINE, Embase, CANCERLIT, and Cochrane Library databases were searched for studies published from January 2001 to August 2011 evaluating the diagnostic performance of DWI in detecting prostate carcinoma. Sensitivities and specificities were determined across studies, and summary receiver-operating characteristic curves were constructed using hierarchical regression models.
RESULTS: Sixteen studies (18 subsets) with a total of 852 patients were included. Six studies (seven subsets) examining men with pathologically confirmed prostate cancer (260 patients) had pooled sensitivity and specificity of 0.88 (95% confidence interval [CI], 0.76-0.95) and 0.84 (95% CI, 0.76-0.90), respectively. Compared to patients at high risk for clinically relevant cancer, sensitivity was higher in low-risk patients (0.94 [95% CI, 0.89-0.97] vs 0.62 [95% CI, 0.54-0.70], P < .05), but specificity was lower (0.86 [95% CI, 0.72-0.94] vs 0.89 [95% CI, 0.83-0.93], P < .05). Ten studies (11 subsets) examining patients with suspected prostate cancer (592 patients) had pooled sensitivity and specificity of 0.76 (95% CI, 0.68-0.84) and 0.86 (95% CI, 0.79-0.91). Sensitivity was lower in high-risk patients (0.74 [95% CI, 0.57-0.87] vs 0.78 [95% CI, 0.70-0.84], P > .05), but specificity was higher (0.92 [95% CI, 0.89-0.94] vs 0.78 [95% CI, 0.70-0.84], P < .05).
CONCLUSIONS: A limited number of small studies suggest that DWI could be a rule-in test for high-risk patients. Further prospective studies including larger populations are necessary to confirm the actual value of DWI in this field.
Copyright © 2012 AUR. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22958718     DOI: 10.1016/j.acra.2012.05.016

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


  16 in total

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Authors:  Linda M Johnson; Baris Turkbey; William D Figg; Peter L Choyke
Journal:  Nat Rev Clin Oncol       Date:  2014-05-20       Impact factor: 66.675

2.  Transrectal ultrasound-guided biopsy for prostate cancer detection: Systematic and/or magnetic-resonance imaging-targeted.

Authors:  Franck Bladou; Cora Fogaing; Mark Levental; Samuel Aronson; Mona Alameldin; Maurice Anidjar
Journal:  Can Urol Assoc J       Date:  2017-09       Impact factor: 1.862

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Authors:  Romaric Loffroy; Olivier Chevallier; Morgan Moulin; Sylvain Favelier; Pierre-Yves Genson; Pierre Pottecher; Gilles Crehange; Alexandre Cochet; Luc Cormier
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4.  Accuracy of Diffusion Weighted Images and MR Spectroscopy in Prostate Lesions - Our Experience with Endorectal Coil on 1.5 T MRI.

Authors:  Devimeenal Jagannathan; Venkatraman Indiran
Journal:  J Clin Diagn Res       Date:  2017-05-01

5.  Three-dimensional proton magnetic resonance spectroscopy and diffusion-weighted imaging in the differentiation of incidental prostate carcinoma from benign prostate hyperplasia.

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6.  Prostate cancer magnetic resonance imaging (MRI): multidisciplinary standpoint.

Authors:  Liang Li; Liang Wang; Zhaoyan Feng; Zhiquan Hu; Guoping Wang; Xianglin Yuan; He Wang; Daoyu Hu
Journal:  Quant Imaging Med Surg       Date:  2013-04

7.  Comparison of prostate cancer detection rates between magnetic resonance imaging-targeted biopsy and transrectal ultrasound-guided biopsy according to Prostate Imaging Reporting and Data System in patients with PSA ≥4 ng/mL: a systematic review and meta-analysis.

Authors:  Kai Zhu; Zhiqiang Qin; Jianxin Xue; Chenkui Miao; Ye Tian; Shouyong Liu; Shenhao Zhu; Qi Gu; Chao Hou; Aiming Xu; Jie Yang; Zengjun Wang
Journal:  Transl Androl Urol       Date:  2019-12

Review 8.  Multiparametric-MRI in diagnosis of prostate cancer.

Authors:  Sangeet Ghai; Masoom A Haider
Journal:  Indian J Urol       Date:  2015 Jul-Sep

9.  Development and validation of a multiparametric MRI-based radiomics signature for distinguishing between indolent and aggressive prostate cancer.

Authors:  Liuhui Zhang; Donggen Jiang; Chujie Chen; Xiangwei Yang; Hanqi Lei; Zhuang Kang; Hai Huang; Jun Pang
Journal:  Br J Radiol       Date:  2021-09-29       Impact factor: 3.039

10.  Pitfalls in Interpreting mp-MRI of the Prostate: A Pictorial Review with Pathologic Correlation.

Authors:  V Panebianco; F Barchetti; J Barentsz; A Ciardi; F Cornud; J Futterer; G Villeirs
Journal:  Insights Imaging       Date:  2015-09-18
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