scholarly journals Accuracy of high b-value diffusion-weighted MRI for prostate cancer detection: a meta-analysis

2016 ◽  
Vol 71 ◽  
pp. S29
Author(s):  
Keith Craig Godley ◽  
Tom Syer ◽  
Andoni Toms ◽  
Toby Smith ◽  
Glyn Johnson ◽  
...  
2016 ◽  
Vol 41 (5) ◽  
pp. 934-945 ◽  
Author(s):  
Sadhna Verma ◽  
Saradwata Sarkar ◽  
Jason Young ◽  
Rajesh Venkataraman ◽  
Xu Yang ◽  
...  

2016 ◽  
Vol 23 (6) ◽  
pp. 704-711 ◽  
Author(s):  
Andrew B. Rosenkrantz ◽  
Nainesh Parikh ◽  
Andrea S. Kierans ◽  
Max Xiangtian Kong ◽  
James S. Babb ◽  
...  

2019 ◽  
Vol 44 (6) ◽  
pp. 2244-2253 ◽  
Author(s):  
Hamed Kordbacheh ◽  
Ravi Teja Seethamraju ◽  
Elisabeth Weiland ◽  
Berthold Kiefer ◽  
Marcel Dominik Nickel ◽  
...  

2013 ◽  
Vol 39 (4) ◽  
pp. 781-788 ◽  
Author(s):  
Shiyang Wang ◽  
Yahui Peng ◽  
Milica Medved ◽  
Ambereen N. Yousuf ◽  
Marko K. Ivancevic ◽  
...  

2017 ◽  
Vol 59 (1) ◽  
pp. 105-113 ◽  
Author(s):  
Keith Craig Godley ◽  
Tom Joseph Syer ◽  
Andoni Paul Toms ◽  
Toby Oliver Smith ◽  
Glyn Johnson ◽  
...  

Background The diagnostic accuracy of diffusion-weighted imaging (DWI) to detect prostate cancer is well-established. DWI provides visual as well as quantitative means of detecting tumor, the apparent diffusion coefficient (ADC). Recently higher b-values have been used to improve DWI’s diagnostic performance. Purpose To determine the diagnostic performance of high b-value DWI at detecting prostate cancer and whether quantifying ADC improves accuracy. Material and Methods A comprehensive literature search of published and unpublished databases was performed. Eligible studies had histopathologically proven prostate cancer, DWI sequences using b-values ≥ 1000 s/mm2, less than ten patients, and data for creating a 2 × 2 table. Study quality was assessed with QUADAS-2 (Quality Assessment of diagnostic Accuracy Studies). Sensitivity and specificity were calculated and tests for statistical heterogeneity and threshold effect performed. Results were plotted on a summary receiver operating characteristic curve (sROC) and the area under the curve (AUC) determined the diagnostic performance of high b-value DWI. Results Ten studies met eligibility criteria with 13 subsets of data available for analysis, including 522 patients. Pooled sensitivity and specificity were 0.59 (95% confidence interval [CI], 0.57–0.61) and 0.92 (95% CI, 0.91–0.92), respectively, and the sROC AUC was 0.92. Subgroup analysis showed a statistically significant ( P = 0.03) improvement in accuracy when using tumor visual assessment rather than ADC. Conclusion High b-value DWI gives good diagnostic performance for prostate cancer detection and visual assessment of tumor diffusion is significantly more accurate than ROI measurements of ADC.


2007 ◽  
Vol 188 (1) ◽  
pp. 91-98 ◽  
Author(s):  
Stefan A. Reinsberg ◽  
Geoffrey S. Payne ◽  
Sophie F. Riches ◽  
Sue Ashley ◽  
Jonathan M. Brewster ◽  
...  

2013 ◽  
Vol 38 (1) ◽  
pp. 154-160 ◽  
Author(s):  
Yoshiko Ueno ◽  
Kazuhiro Kitajima ◽  
Kazuro Sugimura ◽  
Fumi Kawakami ◽  
Hideaki Miyake ◽  
...  

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