Two-dimensional shear wave elastography for assessing liver fibrosis in patients with chronic liver disease: a prospective cohort study
DC Field | Value | Language |
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dc.contributor.author | Yoo, Hae Won | - |
dc.contributor.author | Kim, Sang Gyune | - |
dc.contributor.author | Jang, Jae Young | - |
dc.contributor.author | Yoo, Jeong-Ju | - |
dc.contributor.author | Jeong, Soung Won | - |
dc.contributor.author | Kim, Young Seok | - |
dc.contributor.author | Kim, Boo Sung | - |
dc.date.accessioned | 2022-03-29T03:40:07Z | - |
dc.date.available | 2022-03-29T03:40:07Z | - |
dc.date.issued | 2022-03 | - |
dc.identifier.issn | 1226-3303 | - |
dc.identifier.issn | 2005-6648 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/20570 | - |
dc.description.abstract | Background/Aims: The objective of this study was to determine whether the newly developed two-dimensional shear wave elastography (2D-SWE, RS85, Samsung-shearwave imaging) was more valid and reliable than transient elastography (TE) for predicting the stage of liver fibrosis. Methods: The study prospectively enrolled a total of 116 patients with chronic liver disease who underwent 2D-SWE, TE, laboratory testing, and liver biopsy on the same day from two tertiary care hospitals. One patient with unreliable measurement was excluded. The measurement of 2D-SWE was considered acceptable when a homogenous color pattern in a region of interest of at least 10 mm was detected at 10 different sites. Diagnostic performance was calculated using area under the receiver operating characteristic Results: Liver fibrosis stages included F0 (18%), F1 (19%), F2 (24%), F3 (22%), and F4 (17%). Interclass correlation coefficient for inter-observer agreement in 2D-SWE was 0.994 (95% confidence interval [CI], 0.988 to 0.997). Overall, the results of 2D-SWE and stages of histological fibrosis were significantly correlated (r = 0.601, p < 0.001). For The 2D-SWE showed good diagnostic ability (AUROC, 0.851; 95% CI, 0.773 to 0.911) comparable to TE (AUROC, 0.859; 95% CI, 0.781 to 0.916) for the diagnosis of significant fibrosis (>= F2), and the cut-off value was 5.8 kPa. AUROC and optimal cut-off of 2D-SWE for the diagnosis of liver cirrhosis were 0.889 (95% CI, 0.817 to 0.940) and 9.6 kPa, respectively. TE showed similar diagnostic performance in distinguishing cirrhosis (AUROC, 0.938; 95% CI, 0.877 to 0.974; p = 0.08). Conclusions: 2D-SWE is comparable to TE in diagnosing significant fibrosis and liver cirrhosis with high reliability. | - |
dc.format.extent | 9 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | 대한내과학회 | - |
dc.title | Two-dimensional shear wave elastography for assessing liver fibrosis in patients with chronic liver disease: a prospective cohort study | - |
dc.type | Article | - |
dc.publisher.location | 대한민국 | - |
dc.identifier.doi | 10.3904/kjim.2020.635 | - |
dc.identifier.scopusid | 2-s2.0-85125646619 | - |
dc.identifier.wosid | 000731434500001 | - |
dc.identifier.bibliographicCitation | The Korean Journal of Internal Medicine, v.37, no.2, pp 285 - 293 | - |
dc.citation.title | The Korean Journal of Internal Medicine | - |
dc.citation.volume | 37 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 285 | - |
dc.citation.endPage | 293 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | General & Internal Medicine | - |
dc.relation.journalWebOfScienceCategory | Medicine, General & Internal | - |
dc.subject.keywordPlus | TRANSIENT ELASTOGRAPHY | - |
dc.subject.keywordPlus | DIAGNOSTIC-ACCURACY | - |
dc.subject.keywordPlus | CUTOFF VALUES | - |
dc.subject.keywordPlus | CIRRHOSIS | - |
dc.subject.keywordPlus | STIFFNESS | - |
dc.subject.keywordPlus | SOCIETY | - |
dc.subject.keywordPlus | BIOPSY | - |
dc.subject.keywordPlus | RISK | - |
dc.subject.keywordAuthor | Elasticity imaging techniques | - |
dc.subject.keywordAuthor | Liver cirrhosis | - |
dc.subject.keywordAuthor | ROC curve | - |
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