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Diagnostic effect of shear wave elastography imaging for differentiation of malignant liver lesions: a meta-analysis

BACKGROUND: Shear wave elastography (SWE) imaging have been proposed for characterization of focal liver lesions. We conducted a meta-analysis to evaluate the accuracy and clinical utility of SWE imaging for differentiation of malignant and benign hepatic lesions. METHODS: PubMed, Embase, Web of Sci...

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Autores principales: Hu, Xing, Huang, Xiaojie, Chen, Hui, Zhang, Tong, Hou, Jianhua, Song, Aixin, Ding, Lei, Liu, Weiyuan, Wu, Hao, Meng, Fankun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6485138/
https://www.ncbi.nlm.nih.gov/pubmed/31023234
http://dx.doi.org/10.1186/s12876-019-0976-2
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author Hu, Xing
Huang, Xiaojie
Chen, Hui
Zhang, Tong
Hou, Jianhua
Song, Aixin
Ding, Lei
Liu, Weiyuan
Wu, Hao
Meng, Fankun
author_facet Hu, Xing
Huang, Xiaojie
Chen, Hui
Zhang, Tong
Hou, Jianhua
Song, Aixin
Ding, Lei
Liu, Weiyuan
Wu, Hao
Meng, Fankun
author_sort Hu, Xing
collection PubMed
description BACKGROUND: Shear wave elastography (SWE) imaging have been proposed for characterization of focal liver lesions. We conducted a meta-analysis to evaluate the accuracy and clinical utility of SWE imaging for differentiation of malignant and benign hepatic lesions. METHODS: PubMed, Embase, Web of Science, and the Cochrane Library were systematically reviewed to search for studies published between January 1, 1990, and November 30, 2018. The studies published in English relating to the evaluation the diagnostic accuracy of SWE imaging for distinguishing malignant and benign liver lesions were retrieved and examined for pooled sensitivity, specificity, likelihood ratios, and diagnostic odds ratios, using bivariate random-effects models. The hierarchical summary receiver operating characteristic (HSROC) curve was estimated to assess the SWE imaging accuracy. The clinical utility of SWE imaging for differentiation of malignant liver lesions was evaluated by Fagan plot. RESULTS: A total of 15 studies, involving 1894 liver lesions in 1728 patients, were eligible for the meta-analysis. The pooled sensitivity and specificity for identification of malignant liver lesions were 0.82 (95% CI: 0.77–0.86) and 0.82 (95% CI: 0.76–0.87), respectively. The AUC was 0.89 (95% CI: 0.86–0.91). When the pre-test probability was 50%, after SWE imaging measurement over the cut-off value (positive result), the corresponding post-test probability for the presence of malignant liver lesions was 82%; the post-test probability was 18% after negative measurement. CONCLUSIONS: SWE imaging showed high sensitivity and specificity in differentiating malignant and benign liver lesions and may be promising for noninvasive evaluation of liver lesions. TRIAL REGISTRATION: The review was registered in the International Prospective Register of Systematic Reviews (PROSPERO): CRD42018104510. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12876-019-0976-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-64851382019-05-03 Diagnostic effect of shear wave elastography imaging for differentiation of malignant liver lesions: a meta-analysis Hu, Xing Huang, Xiaojie Chen, Hui Zhang, Tong Hou, Jianhua Song, Aixin Ding, Lei Liu, Weiyuan Wu, Hao Meng, Fankun BMC Gastroenterol Research Article BACKGROUND: Shear wave elastography (SWE) imaging have been proposed for characterization of focal liver lesions. We conducted a meta-analysis to evaluate the accuracy and clinical utility of SWE imaging for differentiation of malignant and benign hepatic lesions. METHODS: PubMed, Embase, Web of Science, and the Cochrane Library were systematically reviewed to search for studies published between January 1, 1990, and November 30, 2018. The studies published in English relating to the evaluation the diagnostic accuracy of SWE imaging for distinguishing malignant and benign liver lesions were retrieved and examined for pooled sensitivity, specificity, likelihood ratios, and diagnostic odds ratios, using bivariate random-effects models. The hierarchical summary receiver operating characteristic (HSROC) curve was estimated to assess the SWE imaging accuracy. The clinical utility of SWE imaging for differentiation of malignant liver lesions was evaluated by Fagan plot. RESULTS: A total of 15 studies, involving 1894 liver lesions in 1728 patients, were eligible for the meta-analysis. The pooled sensitivity and specificity for identification of malignant liver lesions were 0.82 (95% CI: 0.77–0.86) and 0.82 (95% CI: 0.76–0.87), respectively. The AUC was 0.89 (95% CI: 0.86–0.91). When the pre-test probability was 50%, after SWE imaging measurement over the cut-off value (positive result), the corresponding post-test probability for the presence of malignant liver lesions was 82%; the post-test probability was 18% after negative measurement. CONCLUSIONS: SWE imaging showed high sensitivity and specificity in differentiating malignant and benign liver lesions and may be promising for noninvasive evaluation of liver lesions. TRIAL REGISTRATION: The review was registered in the International Prospective Register of Systematic Reviews (PROSPERO): CRD42018104510. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12876-019-0976-2) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-25 /pmc/articles/PMC6485138/ /pubmed/31023234 http://dx.doi.org/10.1186/s12876-019-0976-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Hu, Xing
Huang, Xiaojie
Chen, Hui
Zhang, Tong
Hou, Jianhua
Song, Aixin
Ding, Lei
Liu, Weiyuan
Wu, Hao
Meng, Fankun
Diagnostic effect of shear wave elastography imaging for differentiation of malignant liver lesions: a meta-analysis
title Diagnostic effect of shear wave elastography imaging for differentiation of malignant liver lesions: a meta-analysis
title_full Diagnostic effect of shear wave elastography imaging for differentiation of malignant liver lesions: a meta-analysis
title_fullStr Diagnostic effect of shear wave elastography imaging for differentiation of malignant liver lesions: a meta-analysis
title_full_unstemmed Diagnostic effect of shear wave elastography imaging for differentiation of malignant liver lesions: a meta-analysis
title_short Diagnostic effect of shear wave elastography imaging for differentiation of malignant liver lesions: a meta-analysis
title_sort diagnostic effect of shear wave elastography imaging for differentiation of malignant liver lesions: a meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6485138/
https://www.ncbi.nlm.nih.gov/pubmed/31023234
http://dx.doi.org/10.1186/s12876-019-0976-2
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