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Performance of common imaging techniques vs serum biomarkers in assessing fibrosis in patients with chronic hepatitis B: A systematic review and meta-analysis
BACKGROUND: Noninvasive biomarkers have been developed to predict hepatitis B virus (HBV) related fibrosis owing to the significant limitations of liver biopsy. Both serum biomarkers and imaging techniques have shown promising results and may improve the evaluation of liver fibrosis. However, most o...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695542/ https://www.ncbi.nlm.nih.gov/pubmed/31423434 http://dx.doi.org/10.12998/wjcc.v7.i15.2022 |
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author | Xu, Xue-Ying Wang, Wu-Sheng Zhang, Qi-Meng Li, Jun-Ling Sun, Jin-Bin Qin, Tian-Tian Liu, Hong-Bo |
author_facet | Xu, Xue-Ying Wang, Wu-Sheng Zhang, Qi-Meng Li, Jun-Ling Sun, Jin-Bin Qin, Tian-Tian Liu, Hong-Bo |
author_sort | Xu, Xue-Ying |
collection | PubMed |
description | BACKGROUND: Noninvasive biomarkers have been developed to predict hepatitis B virus (HBV) related fibrosis owing to the significant limitations of liver biopsy. Both serum biomarkers and imaging techniques have shown promising results and may improve the evaluation of liver fibrosis. However, most of the previous studies focused on the diagnostic effects of various imaging techniques on fibrosis in all chronic liver diseases. AIM: To compare the performance of common imaging methods and serum biomarkers for prediction of significant fibrosis caused only by HBV infection. METHODS: A systematic review was conducted on the records available in PubMed, EMBASE, and the Cochrane Library electronic databases until December 2018. We systematically assessed the effectiveness of two serum biomarkers and three imagine techniques in predicting significant fibrosis solely caused by HBV infection. The serum biomarkers included aspartate aminotransferase-to-platelet ratio index (APRI) and fibrosis index based on the 4 factors (FIB-4). The three imaging techniques included acoustic radiation force impulse (ARFI), FibroScan, and magnetic resonance elastography (MRE). Three parameters, the area under the summary receiver operating characteristic curve (AUSROC), the summary diagnostic odds ratio, and the summary sensitivity and specificity, were used to examine the accuracy of all tests for liver fibrosis. RESULTS: Out of 2831 articles evaluated for eligibility, 204 satisfied the predetermined inclusion criteria for this current meta-analysis. Eventually, our final data contained 81 studies. The AUSROCs of serum biomarkers of APRI and FIB-4 were both 0.75. For imaging techniques (ARFI, FibroScan, and MRE), the areas were 0.89, 0.83, and 0.97, respectively. The heterogeneities of ARFI and FibroScan were statistically significant (I(2) > 50%). The publication bias was not observed in any of the serum biomarkers or imaging methods. CONCLUSION: These five methods have attained an acceptable level of diagnostic accuracy. Imaging techniques, MRE in particular, demonstrate significant advantages in accurately predicting HBV-related significant fibrosis, while serum biomarkers are admissible methods. |
format | Online Article Text |
id | pubmed-6695542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-66955422019-08-16 Performance of common imaging techniques vs serum biomarkers in assessing fibrosis in patients with chronic hepatitis B: A systematic review and meta-analysis Xu, Xue-Ying Wang, Wu-Sheng Zhang, Qi-Meng Li, Jun-Ling Sun, Jin-Bin Qin, Tian-Tian Liu, Hong-Bo World J Clin Cases Meta-Analysis BACKGROUND: Noninvasive biomarkers have been developed to predict hepatitis B virus (HBV) related fibrosis owing to the significant limitations of liver biopsy. Both serum biomarkers and imaging techniques have shown promising results and may improve the evaluation of liver fibrosis. However, most of the previous studies focused on the diagnostic effects of various imaging techniques on fibrosis in all chronic liver diseases. AIM: To compare the performance of common imaging methods and serum biomarkers for prediction of significant fibrosis caused only by HBV infection. METHODS: A systematic review was conducted on the records available in PubMed, EMBASE, and the Cochrane Library electronic databases until December 2018. We systematically assessed the effectiveness of two serum biomarkers and three imagine techniques in predicting significant fibrosis solely caused by HBV infection. The serum biomarkers included aspartate aminotransferase-to-platelet ratio index (APRI) and fibrosis index based on the 4 factors (FIB-4). The three imaging techniques included acoustic radiation force impulse (ARFI), FibroScan, and magnetic resonance elastography (MRE). Three parameters, the area under the summary receiver operating characteristic curve (AUSROC), the summary diagnostic odds ratio, and the summary sensitivity and specificity, were used to examine the accuracy of all tests for liver fibrosis. RESULTS: Out of 2831 articles evaluated for eligibility, 204 satisfied the predetermined inclusion criteria for this current meta-analysis. Eventually, our final data contained 81 studies. The AUSROCs of serum biomarkers of APRI and FIB-4 were both 0.75. For imaging techniques (ARFI, FibroScan, and MRE), the areas were 0.89, 0.83, and 0.97, respectively. The heterogeneities of ARFI and FibroScan were statistically significant (I(2) > 50%). The publication bias was not observed in any of the serum biomarkers or imaging methods. CONCLUSION: These five methods have attained an acceptable level of diagnostic accuracy. Imaging techniques, MRE in particular, demonstrate significant advantages in accurately predicting HBV-related significant fibrosis, while serum biomarkers are admissible methods. Baishideng Publishing Group Inc 2019-08-06 2019-08-06 /pmc/articles/PMC6695542/ /pubmed/31423434 http://dx.doi.org/10.12998/wjcc.v7.i15.2022 Text en ©The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. |
spellingShingle | Meta-Analysis Xu, Xue-Ying Wang, Wu-Sheng Zhang, Qi-Meng Li, Jun-Ling Sun, Jin-Bin Qin, Tian-Tian Liu, Hong-Bo Performance of common imaging techniques vs serum biomarkers in assessing fibrosis in patients with chronic hepatitis B: A systematic review and meta-analysis |
title | Performance of common imaging techniques vs serum biomarkers in assessing fibrosis in patients with chronic hepatitis B: A systematic review and meta-analysis |
title_full | Performance of common imaging techniques vs serum biomarkers in assessing fibrosis in patients with chronic hepatitis B: A systematic review and meta-analysis |
title_fullStr | Performance of common imaging techniques vs serum biomarkers in assessing fibrosis in patients with chronic hepatitis B: A systematic review and meta-analysis |
title_full_unstemmed | Performance of common imaging techniques vs serum biomarkers in assessing fibrosis in patients with chronic hepatitis B: A systematic review and meta-analysis |
title_short | Performance of common imaging techniques vs serum biomarkers in assessing fibrosis in patients with chronic hepatitis B: A systematic review and meta-analysis |
title_sort | performance of common imaging techniques vs serum biomarkers in assessing fibrosis in patients with chronic hepatitis b: a systematic review and meta-analysis |
topic | Meta-Analysis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695542/ https://www.ncbi.nlm.nih.gov/pubmed/31423434 http://dx.doi.org/10.12998/wjcc.v7.i15.2022 |
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