Cited 0 times in 
Cited 8 times in 
A New Reporting System for Diagnosis of Hepatocellular Carcinoma in Chronic Hepatitis B With Clinical and Gadoxetic Acid-Enhanced MRI Features
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hwang, Shin Hye | - |
| dc.contributor.author | Hong, Seung Baek | - |
| dc.contributor.author | Han, Kyung Hwa | - |
| dc.contributor.author | SEO, NIEUN | - |
| dc.contributor.author | Choi, Jin Young | - |
| dc.contributor.author | Lee, Jei Hee | - |
| dc.contributor.author | Park, Sumi | - |
| dc.contributor.author | Lim, Young-Suk | - |
| dc.contributor.author | Kim, Do Young | - |
| dc.contributor.author | Kim, So Yeon | - |
| dc.contributor.author | Park, Mi Suk | - |
| dc.date.accessioned | 2022-12-22T02:25:11Z | - |
| dc.date.available | 2022-12-22T02:25:11Z | - |
| dc.date.created | 2023-01-16 | - |
| dc.date.issued | 2022-06 | - |
| dc.identifier.issn | 1053-1807 | - |
| dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/191572 | - |
| dc.description.abstract | Background Current major guidelines for diagnosis of hepatocellular carcinoma (HCC) based on imaging findings are different from each other and do not include clinical risk factors as a diagnostic criteria. Purpose To developed and validated a new diagnostic score system using MRI and clinical features as applied in chronic hepatitis B patients. Study Type Retrospective observational study. Subject A total of 418 treatment-naive patients (out of 902 patients) with chronic hepatitis B having 556 lesions suspected for HCC which were eligible for curative treatment. Field Strength/sequence T1W GRE in- and opposed-phase, T2W FSE, DWI, and T1W 3D-GRE dynamic contrast-enhanced sequences at 1.5 T and 3 T. Assessment Six radiologists with 7-22 years of experience independently evaluated MR images based on Liver Imaging Reporting and Data System (LI-RADS) version 2018. Statistical Tests Based on logistic regression analysis of MRI features and clinical factors, a risk score system was devised in derivation cohorts (268 patients, 352 lesions) and externally validated (150 patients, 204 lesions). The performance of the new score system was assessed by Harell's c-index. Using cutoff value of 12, maintaining positive predictive value >= 95%, the diagnostic performances of the score system were compared with those of LR-5. Results The 15-point diagnostic scoring system used MRI features (lesion size, nonrim arterial phase hyperenhancement, portal venous phase hypointensity, hepatobiliary phase hypointensity, and diffusion restriction) and clinical factors (alpha-fetoprotein and platelet). It showed good discrimination in the derivation (c-index, 0.946) and validation cohorts (c-index, 0.907). Using a risk score of 12 as a cut-off, this system yielded higher sensitivity than LR-5 (derivation cohort, 76.8% vs. 52.1%; validation cohort, 73.4% vs. 49.5%) without significant decrease in specificity (derivation cohort, 93.1% vs. 97.2%, P = 0.074; validation cohort, 91.7% vs. 96.1%, P = 0.299). Data Conclusion A new score system showed improved sensitivity in chronic hepatitis B patients compared to LI-RADS without significant compromise in specificity. Evidence Level 3 Technical Efficacy Stage 2. | - |
| dc.description.statementOfResponsibility | restriction | - |
| dc.language | English | - |
| dc.publisher | Wiley-Liss | - |
| dc.relation.isPartOf | JOURNAL OF MAGNETIC RESONANCE IMAGING | - |
| dc.relation.isPartOf | JOURNAL OF MAGNETIC RESONANCE IMAGING | - |
| dc.rights | CC BY-NC-ND 2.0 KR | - |
| dc.title | A New Reporting System for Diagnosis of Hepatocellular Carcinoma in Chronic Hepatitis B With Clinical and Gadoxetic Acid-Enhanced MRI Features | - |
| dc.type | Article | - |
| dc.contributor.college | College of Medicine (의과대학) | - |
| dc.contributor.department | Dept. of Internal Medicine (내과학교실) | - |
| dc.contributor.googleauthor | Hwang, Shin Hye | - |
| dc.contributor.googleauthor | Hong, Seung Baek | - |
| dc.contributor.googleauthor | Han, Kyung Hwa | - |
| dc.contributor.googleauthor | SEO, NIEUN | - |
| dc.contributor.googleauthor | Choi, Jin Young | - |
| dc.contributor.googleauthor | Lee, Jei Hee | - |
| dc.contributor.googleauthor | Park, Sumi | - |
| dc.contributor.googleauthor | Lim, Young-Suk | - |
| dc.contributor.googleauthor | Kim, Do Young | - |
| dc.contributor.googleauthor | Kim, So Yeon | - |
| dc.contributor.googleauthor | Park, Mi Suk | - |
| dc.identifier.doi | 10.1002/jmri.27962 | - |
| dc.relation.journalcode | J01567 | - |
| dc.identifier.eissn | 1522-2586 | - |
| dc.identifier.pmid | 34668595 | - |
| dc.subject.keyword | carcinoma | - |
| dc.subject.keyword | hepatocellular | - |
| dc.subject.keyword | diagnosis | - |
| dc.subject.keyword | magnetic resonance imaging | - |
| dc.subject.keyword | gadolinium DTPA | - |
| dc.contributor.alternativeName | Kim, Do Young | - |
| dc.contributor.affiliatedAuthor | Hwang, Shin Hye | - |
| dc.contributor.affiliatedAuthor | Han, Kyung Hwa | - |
| dc.contributor.affiliatedAuthor | SEO, NIEUN | - |
| dc.contributor.affiliatedAuthor | Choi, Jin Young | - |
| dc.contributor.affiliatedAuthor | Kim, Do Young | - |
| dc.contributor.affiliatedAuthor | Park, Mi Suk | - |
| dc.identifier.scopusid | 2-s2.0-85117285313 | - |
| dc.identifier.wosid | 000708933500001 | - |
| dc.citation.volume | 55 | - |
| dc.citation.number | 6 | - |
| dc.citation.startPage | 1877 | - |
| dc.citation.endPage | 1886 | - |
| dc.identifier.bibliographicCitation | JOURNAL OF MAGNETIC RESONANCE IMAGING, Vol.55(6) : 1877-1886, 2022-06 | - |
| dc.identifier.rimsid | 76092 | - |
| dc.type.rims | ART | - |
| dc.description.journalClass | 1 | - |
| dc.description.journalClass | 1 | - |
| dc.subject.keywordAuthor | carcinoma | - |
| dc.subject.keywordAuthor | hepatocellular | - |
| dc.subject.keywordAuthor | diagnosis | - |
| dc.subject.keywordAuthor | magnetic resonance imaging | - |
| dc.subject.keywordAuthor | gadolinium DTPA | - |
| dc.subject.keywordPlus | ALPHA-FETOPROTEIN | - |
| dc.subject.keywordPlus | RISK | - |
| dc.subject.keywordPlus | CT | - |
| dc.subject.keywordPlus | PERFORMANCE | - |
| dc.subject.keywordPlus | PREDICTION | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalWebOfScienceCategory | Radiology, Nuclear Medicine & Medical Imaging | - |
| dc.relation.journalResearchArea | Radiology, Nuclear Medicine & Medical Imaging | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.