Literature DB >> 30171621

Diagnostic Accuracy of 2-Dimensional Shear Wave Elastography for the Staging of Liver Fibrosis: A Meta-analysis.

Wei Zhang1, Ya Zhu2, Cuncheng Zhang1, Haitao Ran1.   

Abstract

OBJECTIVES: To evaluate the overall accuracy of 2-dimensional shear wave elastography (SWE) for the staging of liver fibrosis.
METHODS: Literature databases and conference abstracts were searched from 2000 to September 2017. Sensitivity, specificity, and other information were extracted from the included studies. Methodological quality was assessed with Quality Assessment of Diagnostic Accuracy Studies 2 tools. Data were synthesized by a bivariate hierarchical model.
RESULTS: The summary sensitivity and specificity were 0.85 (95% confidence interval [CI], 0.80-0.89) and 0.79 (95% CI, 0.72-0.85) for fibrosis stage F≥2, 0.90 (95% CI, 0.87-0.93) and 0.85 (95% CI, 0.80-0.89) for F≥3, and 0.89 (95% CI, 0.84-0.93) and 0.92 (95% CI, 0.89-0.95) for F=4, respectively. The areas under the summary receiver operating characteristic curve for F≥2, F≥3, and F=4 was 0.81, 0.77, and 0.84.
CONCLUSIONS: Two-dimensional SWE is a good noninvasive method for the diagnosis of substantial liver fibrosis and cirrhosis. Further studies are needed to assess severe fibrosis and to perform head-to-head comparisons of 2-dimensional SWE and other imaging modalities for the evaluation of liver fibrosis.
© 2018 The Authors. Journal of Ultrasound in Medicine published by Wiley Periodicals, Inc. on behalf of the American Institute of Ultrasound in Medicine.

Entities:  

Keywords:  2-dimensional shear wave elastography; fibrosis staging; liver fibrosis; meta-analysis

Mesh:

Year:  2018        PMID: 30171621     DOI: 10.1002/jum.14760

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  3 in total

1.  A New Multimodel Machine Learning Framework to Improve Hepatic Fibrosis Grading Using Ultrasound Elastography Systems from Different Vendors.

Authors:  Isabelle Durot; Alireza Akhbardeh; Hersh Sagreiya; Andreas M Loening; Daniel L Rubin
Journal:  Ultrasound Med Biol       Date:  2019-10-11       Impact factor: 2.998

2.  Combining hepatic surface nodularity and serum tests better predicts hepatic fibrosis stages in chronic liver disease.

Authors:  Hyo Jung Cho; Jaewon Choi; Bohyun Kim; JeongGil Ko; Joon-Il Choi; Jimi Huh; Jei Hee Lee; Jai Keun Kim
Journal:  Abdom Radiol (NY)       Date:  2021-05-12

Review 3.  Elastography-based screening for esophageal varices in patients with advanced chronic liver disease.

Authors:  Rafael Paternostro; Thomas Reiberger; Theresa Bucsics
Journal:  World J Gastroenterol       Date:  2019-01-21       Impact factor: 5.742

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.