Two-dimensional shear wave elastography for significant liver fibrosis in patients with chronic hepatitis B: A systematic review and meta-analysis.


Journal

European journal of radiology
ISSN: 1872-7727
Titre abrégé: Eur J Radiol
Pays: Ireland
ID NLM: 8106411

Informations de publication

Date de publication:
Mar 2020
Historique:
received: 23 10 2019
revised: 07 01 2020
accepted: 09 01 2020
pubmed: 26 1 2020
medline: 21 10 2020
entrez: 26 1 2020
Statut: ppublish

Résumé

To determine the diagnostic performance and cutoff value of two-dimensional shear wave elastography (2D SWE) for detecting significant liver fibrosis in patients with chronic hepatitis B (CHB). A systematic literature search of the PubMed, EMBASE, Cochrane Library databases and Web of Science was conducted. Bivariate modelling and summary receiver-operating-characteristic (ROC) modelling were constructed to summarize the diagnostic performance of 2D SWE. Meta-regression analyses were performed to explore the source of heterogeneity. Eleven eligible studies with 2623 patients were included. 2D SWE showed a summary sensitivity of 88 % (95 % CI: 83-91), specificity of 83 % (95 % CI: 78-88) and area under the ROC curve of 0.92 (95 % CI: 0.89-0.94) for detecting significant fibrosis in CHB patients. The mean threshold of 2D SWE was 7.91 kPa (range: 6.73-10.00 kPa). Notably, the cutoffs of studies excluding patients with history of prior antiviral therapy were generally lower than that of studies without excluding those who had received antiviral treatment, with an average of 7.15 kPa and 8.87 kPa, respectively (p < 0.01). Meta-regression analysis revealed that enrollment of consecutive patients was the only significant factor influencing heterogeneity (p < 0.01). Specifically, studies recruiting consecutive patients with CHB had significantly lower sensitivity than those with absence of consecutive enrolment (0.83 vs 0.92, p < 0.01). 2D SWE is an excellent modality for predicting significant liver fibrosis in CHB populations. Further work is required to establish the cutoffs that account for antiviral treatment as a potential confounding factor.

Identifiants

pubmed: 31981878
pii: S0720-048X(20)30028-0
doi: 10.1016/j.ejrad.2020.108839
pii:
doi:

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

108839

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None.

Auteurs

Hong Wei (H)

Department of Radiology, Sichuan University West China Hospital, Chengdu, Sichuan Province, China.

Han-Yu Jiang (HY)

Department of Radiology, Sichuan University West China Hospital, Chengdu, Sichuan Province, China.

Mou Li (M)

Department of Radiology, Sichuan University West China Hospital, Chengdu, Sichuan Province, China.

Tong Zhang (T)

Department of Radiology, Sichuan University West China Hospital, Chengdu, Sichuan Province, China.

Bin Song (B)

Department of Radiology, Sichuan University West China Hospital, Chengdu, Sichuan Province, China. Electronic address: songlab_radiology@163.com.

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Classifications MeSH