Moderated Poster

Poster, Podium & Video Sessions

MP08-18: Diagnostic accuracy of the shear wave elastography for the identification of Prostate Cancer: a diagnostic meta-analysis

Friday, May 12
9:30 AM - 11:30 AM
Location: BCEC: Room 160

Presentation Authors: Xiang Tu*, Lu Yang, Qiang Wei, Chengdu, China, People's Republic of

Introduction: This meta-analysis aimed to evaluate the performance of shear wave elastography in the identification of prostate cancer.

Methods: PubMed, Embase and the Cochrane Library were searched for relevant studies with a publication date through March 2016. The methodological quality was assessed using QUADAS tools. Data synthesis was calculated using Meta-Disc Version 1.4.

Results: Of the 137 studies identified, 11 were included with 1407 patients. Methodological assessment demonstrated study quality was moderate to high. The pooled sensitivity, specificity, and area under the summary receiver operating characteristic curve of SWE for detecting malignant prostatic nodules were 85 % (95% CI, 82-87%), 84 % (95% CI, 82-86%), and 92% (95% CI, 90-95%), respectively. Positive and negative predictive values were 27.7-44.7% and 98.1-99.1 %. The positive and negative likelihood ratio were 4.45 (95% CI: 2.87-6.89) and 0.18 (95% CI: 0.11-0.32). The summary diagnostic OR was 28.48 (95% CI: 12.42- 65.35). Publication bias regression test revealed no significant small-study bias.

Conclusions: Shear wave elastography is a highly accurate diagnostic method for the identification of prostate cancer using the histopathology as the reference standard and may help to reduce the number of core biopsies in the future.

Source Of Funding: This study was supported by the Prostate Cancer Foundation Young Investigator Award 2013, the National Natural Science Foundation of China (Grant No. 81300627 and 81370855) and Programs from Science and Technology Department of Sichuan Province (Grant No.

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MP08-18: Diagnostic accuracy of the shear wave elastography for the identification of Prostate Cancer: a diagnostic meta-analysis



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