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Predictive value of gadoxetic acid–enhanced MRI for posthepatectomy liver failure: a systematic review
OBJECTIVES: Effective and non-invasive biomarkers to predict and avoid posthepatectomy liver failure (PHLF) are urgently needed. This systematic review aims to evaluate the efficacy of gadoxetic acid–enhanced MRI-derived parameters as an imaging biomarker in preoperative prediction of PHLF. METHODS:...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831250/ https://www.ncbi.nlm.nih.gov/pubmed/34562137 http://dx.doi.org/10.1007/s00330-021-08297-8 |
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author | Wang, Qiang Wang, Anrong Sparrelid, Ernesto Zhang, Jiaxing Zhao, Ying Ma, Kuansheng Brismar, Torkel B. |
author_facet | Wang, Qiang Wang, Anrong Sparrelid, Ernesto Zhang, Jiaxing Zhao, Ying Ma, Kuansheng Brismar, Torkel B. |
author_sort | Wang, Qiang |
collection | PubMed |
description | OBJECTIVES: Effective and non-invasive biomarkers to predict and avoid posthepatectomy liver failure (PHLF) are urgently needed. This systematic review aims to evaluate the efficacy of gadoxetic acid–enhanced MRI-derived parameters as an imaging biomarker in preoperative prediction of PHLF. METHODS: A systematic literature search was performed in the databases of PubMed/Medline, Web of Science, Embase, and Cochrane Library up to 11 December 2020. Studies evaluating the incidence of PHLF on patients who underwent hepatectomy with preoperative liver function assessment using gadoxetic acid–enhanced MRI were included. Data was extracted using pre-designed tables. The Quality In Prognostic Studies (QUIPS) tool was adopted to evaluate the risk of bias. RESULTS: A total of 15 studies were identified for qualitative synthesis and most studies were marked as low to moderate risk of bias in each domain of QUIPS. The most commonly used parameter was relative liver enhancement or its related parameters. The reported incidence of PHLF ranged from 3.9 to 40%. The predictive sensitivity and specificity of gadoxetic acid–enhanced MRI parameters varied from 75 to 100% and from 54 to 93% in ten reported studies. A majority of the studies revealed that the gadoxetic acid–enhanced MRI parameter was a predictor for PHLF. CONCLUSIONS: Gadoxetic acid–enhanced MRI showed a high predictive capacity for PHLF and represents a promising imaging biomarker in prediction of PHLF. Multicenter, prospective trials with large sample size and reliable, unified liver function parameters are required to validate the efficacy of individual liver function parameters. KEY POINTS: • There is an obvious heterogeneity of the published studies, not only in variance of MRI liver function parameters but also in indication and extent of the liver resection. • Signal intensity (SI)–based parameters derived from gadoxetic acid–enhanced MRI are the commonly used method for PHLF prediction. • Gadoxetic acid–enhanced MRI-derived parameters showed high predictive efficacy for PHLF and can potentially serve as a predictor for the incidence of PHLF. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-021-08297-8. |
format | Online Article Text |
id | pubmed-8831250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-88312502022-03-02 Predictive value of gadoxetic acid–enhanced MRI for posthepatectomy liver failure: a systematic review Wang, Qiang Wang, Anrong Sparrelid, Ernesto Zhang, Jiaxing Zhao, Ying Ma, Kuansheng Brismar, Torkel B. Eur Radiol Gastrointestinal OBJECTIVES: Effective and non-invasive biomarkers to predict and avoid posthepatectomy liver failure (PHLF) are urgently needed. This systematic review aims to evaluate the efficacy of gadoxetic acid–enhanced MRI-derived parameters as an imaging biomarker in preoperative prediction of PHLF. METHODS: A systematic literature search was performed in the databases of PubMed/Medline, Web of Science, Embase, and Cochrane Library up to 11 December 2020. Studies evaluating the incidence of PHLF on patients who underwent hepatectomy with preoperative liver function assessment using gadoxetic acid–enhanced MRI were included. Data was extracted using pre-designed tables. The Quality In Prognostic Studies (QUIPS) tool was adopted to evaluate the risk of bias. RESULTS: A total of 15 studies were identified for qualitative synthesis and most studies were marked as low to moderate risk of bias in each domain of QUIPS. The most commonly used parameter was relative liver enhancement or its related parameters. The reported incidence of PHLF ranged from 3.9 to 40%. The predictive sensitivity and specificity of gadoxetic acid–enhanced MRI parameters varied from 75 to 100% and from 54 to 93% in ten reported studies. A majority of the studies revealed that the gadoxetic acid–enhanced MRI parameter was a predictor for PHLF. CONCLUSIONS: Gadoxetic acid–enhanced MRI showed a high predictive capacity for PHLF and represents a promising imaging biomarker in prediction of PHLF. Multicenter, prospective trials with large sample size and reliable, unified liver function parameters are required to validate the efficacy of individual liver function parameters. KEY POINTS: • There is an obvious heterogeneity of the published studies, not only in variance of MRI liver function parameters but also in indication and extent of the liver resection. • Signal intensity (SI)–based parameters derived from gadoxetic acid–enhanced MRI are the commonly used method for PHLF prediction. • Gadoxetic acid–enhanced MRI-derived parameters showed high predictive efficacy for PHLF and can potentially serve as a predictor for the incidence of PHLF. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-021-08297-8. Springer Berlin Heidelberg 2021-09-25 2022 /pmc/articles/PMC8831250/ /pubmed/34562137 http://dx.doi.org/10.1007/s00330-021-08297-8 Text en © The Author(s) 2021, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Gastrointestinal Wang, Qiang Wang, Anrong Sparrelid, Ernesto Zhang, Jiaxing Zhao, Ying Ma, Kuansheng Brismar, Torkel B. Predictive value of gadoxetic acid–enhanced MRI for posthepatectomy liver failure: a systematic review |
title | Predictive value of gadoxetic acid–enhanced MRI for posthepatectomy liver failure: a systematic review |
title_full | Predictive value of gadoxetic acid–enhanced MRI for posthepatectomy liver failure: a systematic review |
title_fullStr | Predictive value of gadoxetic acid–enhanced MRI for posthepatectomy liver failure: a systematic review |
title_full_unstemmed | Predictive value of gadoxetic acid–enhanced MRI for posthepatectomy liver failure: a systematic review |
title_short | Predictive value of gadoxetic acid–enhanced MRI for posthepatectomy liver failure: a systematic review |
title_sort | predictive value of gadoxetic acid–enhanced mri for posthepatectomy liver failure: a systematic review |
topic | Gastrointestinal |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831250/ https://www.ncbi.nlm.nih.gov/pubmed/34562137 http://dx.doi.org/10.1007/s00330-021-08297-8 |
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