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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 |
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dc.contributor.author | 김도영 | - |
dc.contributor.author | 박미숙 | - |
dc.contributor.author | 서니은 | - |
dc.contributor.author | 최진영 | - |
dc.contributor.author | 황신혜 | - |
dc.contributor.author | 한경화 | - |
dc.date.accessioned | 2022-12-22T02:25:11Z | - |
dc.date.available | 2022-12-22T02:25:11Z | - |
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-naïve 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.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Carcinoma, Hepatocellular* / diagnostic imaging Carcinoma, Hepatocellular* / pathology Contrast Media Gadolinium DTPA Hepatitis B, Chronic* / complications Hepatitis B, Chronic* / diagnostic imaging Humans Liver Neoplasms* / diagnostic imaging Liver Neoplasms* / pathology Magnetic Resonance Imaging / methods Retrospective Studies Sensitivity and Specificity | - |
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 | Shin Hye Hwang | - |
dc.contributor.googleauthor | Seung Baek Hong | - |
dc.contributor.googleauthor | Kyunghwa Han | - |
dc.contributor.googleauthor | Nieun Seo | - |
dc.contributor.googleauthor | Jin-Young Choi | - |
dc.contributor.googleauthor | Jei Hee Lee | - |
dc.contributor.googleauthor | Sumi Park | - |
dc.contributor.googleauthor | Young-Suk Lim | - |
dc.contributor.googleauthor | Do Young Kim | - |
dc.contributor.googleauthor | So Yeon Kim | - |
dc.contributor.googleauthor | Mi-Suk Park | - |
dc.identifier.doi | 10.1002/jmri.27962 | - |
dc.contributor.localId | A00385 | - |
dc.contributor.localId | A01463 | - |
dc.contributor.localId | A01874 | - |
dc.contributor.localId | A04200 | - |
dc.contributor.localId | A05534 | - |
dc.relation.journalcode | J01567 | - |
dc.identifier.eissn | 1522-2586 | - |
dc.identifier.pmid | 34668595 | - |
dc.identifier.url | https://onlinelibrary.wiley.com/doi/10.1002/jmri.27962 | - |
dc.subject.keyword | carcinoma | - |
dc.subject.keyword | diagnosis | - |
dc.subject.keyword | gadolinium DTPA | - |
dc.subject.keyword | hepatocellular | - |
dc.subject.keyword | magnetic resonance imaging | - |
dc.contributor.alternativeName | Kim, Do Young | - |
dc.contributor.affiliatedAuthor | 김도영 | - |
dc.contributor.affiliatedAuthor | 박미숙 | - |
dc.contributor.affiliatedAuthor | 서니은 | - |
dc.contributor.affiliatedAuthor | 최진영 | - |
dc.contributor.affiliatedAuthor | 황신혜 | - |
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 | - |
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