Yang Jiao1, Fajin Dong1, Hui Wang2, Lei Zhang1, Jinfeng Xu1, Jing Zheng1, Haibo Fan2, Hanjing Gan1, Lixin Chen1, Min Li3. 1. Department of Ultrasonography, Second Clinical College of Jinan University, Shenzhen People's Hospital, Shenzhen, China. 2. Department of Infectious Disease, People's Hospital of Rizhao, Rizhao, China. 3. Department of Personnel, Second Clinical College of Jinan University, Shenzhen People's Hospital, Shenzhen, China. 609638369@qq.com.
Abstract
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.
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.
Authors: Michael Esser; Michael Bitzer; Manuel Kolb; Jan Fritz; Mustafa Kurucay; Christer Ruff; Marius Horger Journal: J Med Ultrason (2001) Date: 2018-06-13 Impact factor: 1.314
Authors: Michael Praktiknjo; Viktoria Krabbe; Alessandra Pohlmann; Matthias Sampels; Christian Jansen; Carsten Meyer; Christian P Strassburg; Jonel Trebicka; Maria A Gonzalez Carmona Journal: PLoS One Date: 2018-02-14 Impact factor: 3.240