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. 2014 May 28;24(8):1929–1941. doi: 10.1007/s00330-014-3201-2

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© The Author(s) 2014

Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

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Fig. 2 — Forest plots of SEN (a), SPE (b), PLR (c) and NLR (d) of DWI in detecting PCa. The Q statistics and I ² indexes of sensitivity and specificity suggested the presence of notable heterogeneity, and the diagnostic performance was summarized by using a random-effects coefficient binary regression model

Fig. 2 — Forest plots of SEN (a), SPE (b), PLR (c) and NLR (d) of DWI in detecting PCa. The Q statistics and I ² indexes of sensitivity and specificity suggested the presence of notable heterogeneity, and the diagnostic performance was summarized by using a random-effects coefficient binary regression model