Detailed Information

Cited 0 time in webofscience Cited 3 time in scopus
Metadata Downloads

The Diagnostic Accuracy of LOGIQ S8 and E9 Shear Wave Elastography for Staging Hepatic Fibrosis, in Comparison with Transient Elastography

Full metadata record
DC Field Value Language
dc.contributor.authorYoo, Jeong-Ju-
dc.contributor.authorKim, Sang Gyune-
dc.contributor.authorKim, Young Seok-
dc.date.accessioned2022-05-24T08:40:12Z-
dc.date.available2022-05-24T08:40:12Z-
dc.date.issued2021-10-
dc.identifier.issn2075-4418-
dc.identifier.urihttps://scholarworks.bwise.kr/sch/handle/2021.sw.sch/20812-
dc.description.abstractBackground: The aim of this study was to evaluate the usefulness of two different types of 2-dimensional shear wave elastography (2D-SWE) for predicting liver fibrosis stages in comparison to transient elastography (TE), using a histologic METAVIR scoring system as the reference method. Methods: A total of 203 patients with chronic liver disease were prospectively enrolled in the study. Two different 2D-SWEs (LOGIQ S8 and E9 systems, GE Healthcare, Chalfont St Giles, UK) were assessed for liver stiffness in patients with chronic liver diseases. Patients received 2D-SWE examinations with the S8 and E9 systems, and also underwent TE (FibroScan(R), Echosens, France) tests and liver biopsies on the same day. Results: The most common etiology of chronic liver disease was non-alcoholic fatty liver disease (28.7%), followed by chronic hepatitis B (25.1%). Liver fibrosis stages consisted of F0 (22.6%), F1 (29.7%), F2 (16.9%), F3 (12.8%) and F4 (17.9%). Overall, S8 and E9 were well correlated with the histologic fibrosis stages. The optimal cut-off values for S8 and E9 to differentiate significant fibrosis (& GE;F2) were 6.70 kPa and 6.42 kPa, respectively, while the cut-off values for S8 and E9 in distinguishing liver cirrhosis were 9.15 kPa and 8.88 kPa, respectively. Among the 195 patients who had successful measurements in both S8 and E9, liver stiffness showed good inter-equipment correlation (ICC: 0.900, p < 0.001). Regarding diagnostic ability, upon comparison (FibroScan(R)), there were no significant differences between 2D-SWEs and TE for detecting every stage of liver fibrosis. Conclusion: In comparison to TE, 2D-SWE with LOGIQ S8 and E9 (GE Healthcare) are useful non-invasive tools for predicting significant fibrosis and liver cirrhosis.</p>-
dc.format.extent13-
dc.language영어-
dc.language.isoENG-
dc.publisherMDPI AG-
dc.titleThe Diagnostic Accuracy of LOGIQ S8 and E9 Shear Wave Elastography for Staging Hepatic Fibrosis, in Comparison with Transient Elastography-
dc.typeArticle-
dc.publisher.location스위스-
dc.identifier.doi10.3390/diagnostics11101817-
dc.identifier.scopusid2-s2.0-85116566066-
dc.identifier.wosid000711915000001-
dc.identifier.bibliographicCitationDiagnostics, v.11, no.10, pp 1 - 13-
dc.citation.titleDiagnostics-
dc.citation.volume11-
dc.citation.number10-
dc.citation.startPage1-
dc.citation.endPage13-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaGeneral & Internal Medicine-
dc.relation.journalWebOfScienceCategoryMedicine, General & Internal-
dc.subject.keywordPlusSIMPLE NONINVASIVE INDEX-
dc.subject.keywordPlusFATTY LIVER-DISEASE-
dc.subject.keywordPlusULTRASOUND ELASTOGRAPHY-
dc.subject.keywordPlusSAMPLING VARIABILITY-
dc.subject.keywordPlusPORTAL-HYPERTENSION-
dc.subject.keywordPlusCLINICAL-USE-
dc.subject.keywordPlusCONSENSUS-
dc.subject.keywordPlusCIRRHOSIS-
dc.subject.keywordPlusSOCIETY-
dc.subject.keywordPlusBIOPSY-
dc.subject.keywordAuthorchronic liver disease-
dc.subject.keywordAuthorultrasonography-
dc.subject.keywordAuthorshear wave elastography-
dc.subject.keywordAuthorliver stiffness-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Medicine > Department of Internal Medicine > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, SANG GYUNE photo

Kim, SANG GYUNE
College of Medicine (Department of Internal Medicine)
Read more

Altmetrics

Total Views & Downloads

BROWSE