Diagnostic accuracy of the shear wave elastography for the identification of prostate cancer: A diagnostic Meta-analysis

2016 ◽  
Vol 15 (12) ◽  
pp. e1511
Author(s):  
Q. Shi ◽  
T. Xiang ◽  
Y. Lu ◽  
W. Qiang
2019 ◽  
Vol 21 (4) ◽  
pp. 382 ◽  
Author(s):  
Ye Yang ◽  
Xinxin Zhao ◽  
Xinxin Zhao ◽  
Jingwen Shi ◽  
Ying Huang

Aim: To evaluate the difference in stiffness between prostate cancer (PCa) and benign tissue based on Young’s modulus determined by shear wave elastography (SWE). In addition, the diagnostic accuracy of SWE for the detection of PCa was evaluated comprehensively.Material and methods: We conducted our systematic review and meta-analysis based on databases of PubMed, Embase and Web of Science. Relevant studies regarding to the diagnostic accuracy of SWE for detecting PCa compared to a reference standard of histopathology were included. The pooled weighted mean difference (WMD) of Young’s modulus, sensitivity (SEN) and specificity (SPE), and area under the curve (AUC) were calculated using Stata software.Results: Based on our search strategy, 9 studies were ultimately included. The pooled results indicated that the mean Young’s modulus for detecting prostate cancer was significantly higher than that for prostate benign tissue (WMD = 38.01, 95%CI = 25.59–50.44, p<0.01). In addition, the pooled SEN was 0.86 (95%CI = 0.75–0.92), and the SPE was 0.89 (95%CI = 0.82–0.93). Moreover, an overall high degree of accuracy was indicated by the summary receiver operator characteristic curve with an AUC of 0.94 (95%CI = 0.91–0.95).Conclusion: Our study indicated that SWE is a useful technique for differentiating PCa and benign tissue with a high degree of diagnostic accuracy. 


2017 ◽  
Vol 209 (4) ◽  
pp. 806-814 ◽  
Author(s):  
Sungmin Woo ◽  
Chong Hyun Suh ◽  
Sang Youn Kim ◽  
Jeong Yeon Cho ◽  
Seung Hyup Kim

2017 ◽  
Vol 19 (1) ◽  
pp. 16 ◽  
Author(s):  
Yang Jiao ◽  
Fajin Dong ◽  
Hui Wang ◽  
Lei Zhang ◽  
Jinfeng Xu ◽  
...  

Aim: To investigate the clinical utility of shear wave elastography (SWE) imaging in the identification of malignant and benign lesions of the liver lesions by conducting a meta-analysis. Material and methods: The Cochrane library, Embase and Pubmed were searched for relevant studies with publication data through February 2016. Studies evaluating the diagnostic accuracy of SWE in the identification of malignant and benign lesions of the liver using SWE technology were selected. The cytology, histology or clinical imaging was used as the reference standard. The pooled sensitivity, specificity, diagnostic odds ratio, likelihood ratio, and the area under hierarchical summary receiver operating characteristic curve (HSROC) were used to examine the diagnostic accuracy. Results: A total of 9 cohort studies involving 1046 liver lesions (malignant 679) from 968 patients were identified. All of the 9 studies were prospective studies. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio of SWE in differentiating malignant and benign liver lesions were 82.2% (95% CI: 73.4–88.5), 80.2% (95% CI: 73.3–85.7), 4.159 (95% CI: 2.899–5.966), 0.222 (95% CI: 0.140–0.352), and 18.749 (95% CI: 8.746–40.195), respectively. The area under the HSROC curve was 87% (95% CI: 84–90). Conclusions: This meta-analysis indicates that SWE is useful in evaluating the stiffness of liver lesions and in differentiating between malignant and benign lesions. Due to the high sensitivity, specificity, and diagnostic odds ratio, SWE can be considered as a useful complement to conventional ultrasonography.


2016 ◽  
Vol 22 ◽  
pp. 1349-1359 ◽  
Author(s):  
Changtian Li ◽  
Changsheng Zhang ◽  
Junlai Li ◽  
Huiping Huo ◽  
Danfei Song

PLoS ONE ◽  
2016 ◽  
Vol 11 (6) ◽  
pp. e0157219 ◽  
Author(s):  
Tian’an Jiang ◽  
Guo Tian ◽  
Qiyu Zhao ◽  
Dexing Kong ◽  
Chao Cheng ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document