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The usefulness of noninvasive liver stiffness assessment using shear-wave elastography for predicting liver fibrosis in children

DC Field Value Language
dc.contributor.authorLee, Seunghyun-
dc.contributor.authorChoi, Young Hun-
dc.contributor.authorCho, Yeon Jin-
dc.contributor.authorLee, Seul Bi-
dc.contributor.authorCheon, Jung-Eun-
dc.contributor.authorKim, Woo Sun-
dc.contributor.authorKo, Jae Sung-
dc.contributor.authorKoh, Jaemoon-
dc.contributor.authorKang, Gyeong Hoon-
dc.date.accessioned2021-07-08T01:07:30Z-
dc.date.available2021-07-08T10:10:28Z-
dc.date.issued2021-04-12-
dc.identifier.citationBMC Medical Imaging. 2021 Apr 12;21(1):68ko_KR
dc.identifier.issn1471-2342-
dc.identifier.urihttps://hdl.handle.net/10371/174673-
dc.description.abstractBackground
Pediatric patients with liver disease require noninvasive monitoring to evaluate the risk of fibrosis progression. This study aimed to identify the significant factors affecting liver stiffness values using two-dimensional shear-wave elastography (2D-SWE), and determine whether liver stiffness can predict the fibrosis stage of various childhood liver diseases.

Methods
This study included 30 children (22 boys and 8 girls; mean age, 5.1 ± 6.1years; range, 7days–17.9years) who had undergone biochemical evaluation, 2D-SWE examination, histopathologic analysis of fibrosis grade (F0 to F3), assessment of necroinflammatory activity, and steatosis grading between August 2016 and March 2020. The liver stiffness from 2D-SWE was compared between fibrosis stages using Kruskal–Wallis analysis. Factors that significantly affected liver stiffness were evaluated using univariate and multivariate linear regression analyses. The diagnostic performance was determined from the area under the receiver operating curve (AUC) values of 2D-SWE liver stiffness.

Results
Liver stiffness at the F0-1, F2, and F3 stages were 7.9, 13.2, and 21.7kPa, respectively (P < 0.001). Both fibrosis stage and necroinflammatory grade were significantly associated with liver stiffness (P < 0.001 and P = 0.021, respectively). However, in patients with alanine aminotransferase (ALT) levels below 200IU/L, the only factor affecting liver stiffness was fibrosis stage (P = 0.030). The liver stiffness value could distinguish significant fibrosis (≥ F2) with an AUC of 0.950 (cutoff value, 11.3kPa) and severe fibrosis (F3 stage) with an AUC of 0.924 (cutoff value, 18.1kPa). The 2D-SWE values for differentiating significant fibrosis were 10.5kPa (≥ F2) and 18.1kPa (F3) in patients with ALT levels below 200IU/L.

Conclusion
The liver stiffness values on 2D-SWE can be affected by both fibrosis and necroinflammatory grade and can provide excellent diagnostic performance in evaluating the fibrosis stage in various pediatric liver diseases. However, clinicians should be mindful of potential confounders, such as necroinflammatory activity or transaminase level, when performing 2D-SWE measurements for liver fibrosis staging.
ko_KR
dc.description.sponsorshipThis work was supported by grant no 04–2020-0760 from the SNUH Research Fund and by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1C1C1008716). The funder had no involvement or infuence whatsoever in the study design at any stage, collec‑tion of the data or its analysis and interpretation, writing and preparation of
the manuscript, or its submission for publication.
ko_KR
dc.language.isoenko_KR
dc.publisherBMCko_KR
dc.subjectChild-
dc.subjectLiver diseases-
dc.subjectElasticity imaging techniques-
dc.subjectFibrosis-
dc.titleThe usefulness of noninvasive liver stiffness assessment using shear-wave elastography for predicting liver fibrosis in childrenko_KR
dc.typeArticleko_KR
dc.contributor.AlternativeAuthor이승현-
dc.contributor.AlternativeAuthor최영훈-
dc.contributor.AlternativeAuthor조연진-
dc.contributor.AlternativeAuthor이슬비-
dc.contributor.AlternativeAuthor전정은-
dc.contributor.AlternativeAuthor김우선-
dc.contributor.AlternativeAuthor고재성-
dc.contributor.AlternativeAuthor고재문-
dc.contributor.AlternativeAuthor강경훈-
dc.identifier.doi10.1186/s12880-021-00601-8-
dc.citation.journaltitleBMC Medical Imagingko_KR
dc.language.rfc3066en-
dc.rights.holderThe Author(s)-
dc.date.updated2021-04-18T03:15:56Z-
dc.citation.number1ko_KR
dc.citation.startpage68ko_KR
dc.citation.volume21ko_KR
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