Retrospective analysis of current guidelines for hepatocellular carcinoma diagnosis on gadoxetic acid-enhanced MRI in at-risk patients
DC Field | Value | Language |
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dc.contributor.author | Park, So Hyun | - |
dc.contributor.author | Shim, Young Sup | - |
dc.contributor.author | Kim, Bohyun | - |
dc.contributor.author | Kim, So Yeon | - |
dc.contributor.author | Kim, Yun Soo | - |
dc.contributor.author | Huh, Jimi | - |
dc.contributor.author | Park, Ji Hyun | - |
dc.contributor.author | Kim, Kyung Won | - |
dc.contributor.author | Lee, Seung Soo | - |
dc.date.accessioned | 2021-07-04T04:41:16Z | - |
dc.date.available | 2021-07-04T04:41:16Z | - |
dc.date.created | 2021-01-20 | - |
dc.date.issued | 2021-07 | - |
dc.identifier.issn | 0938-7994 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/81514 | - |
dc.description.abstract | Objective To evaluate and compare the diagnostic performance of the updated HCC guidelines using gadoxetic acid-enhanced MRI. Methods In this study, patients at risk of HCC who underwent gadoxetic acid-enhanced MRI following US/CT surveillance were retrospectively recruited from 3 centers. Three radiologists independently evaluated hepatic nodule imaging features relevant to the diagnostic criteria outlined in each guideline. Per-lesion sensitivity, specificity, and accuracy were compared between guidelines using logistic regression with a generalized estimating equation. Inter-observer agreements on imaging features were determined using Fless kappa statistics. Results Altogether, 447 nodules (310 HCCs, 20 combined hepatocellular-cholangiocarcinomas, 2 cholangiocarcinomas, and 115 benign entities) measuring 1-3 cm from 386 patients were assessed. The KLCA-NCC and APASL guidelines showed the highest sensitivity (82.3-90.6%, p < .001) and accuracy (83.9-88.6%) among the five guidelines. The OPTN/UNOS guideline showed the highest specificity (94.9-97.1%), followed by the AASLD/LI-RADS, EASL, KLCA-NCC, and APASL guidelines, with significant difference only with the APASL guideline. The diagnostic performance of the updated AASLD/LI-RADS and EASL guidelines and of the KLCA-NCC and APASL guidelines was comparable (p > .05). Inter-observer agreement was substantial to almost perfect (kappa = 0.73-0.87). Conclusions For the diagnosis of HCC using gadoxetic acid-enhanced MRI, the KLCA-NCC and APASL guidelines showed the highest sensitivity and accuracy. The OPTN/UNOS guideline showed the highest specificity. Acknowledging their relative strengths and weaknesses could help adapt the diagnostic criteria according to the clinical context. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER | - |
dc.relation.isPartOf | EUROPEAN RADIOLOGY | - |
dc.title | Retrospective analysis of current guidelines for hepatocellular carcinoma diagnosis on gadoxetic acid-enhanced MRI in at-risk patients | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000604571800004 | - |
dc.identifier.doi | 10.1007/s00330-020-07577-z | - |
dc.identifier.bibliographicCitation | EUROPEAN RADIOLOGY, v.31, no.7, pp.4751 - 4763 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85098566194 | - |
dc.citation.endPage | 4763 | - |
dc.citation.startPage | 4751 | - |
dc.citation.title | EUROPEAN RADIOLOGY | - |
dc.citation.volume | 31 | - |
dc.citation.number | 7 | - |
dc.contributor.affiliatedAuthor | Park, So Hyun | - |
dc.contributor.affiliatedAuthor | Shim, Young Sup | - |
dc.contributor.affiliatedAuthor | Kim, Yun Soo | - |
dc.type.docType | Article; Early Access | - |
dc.subject.keywordAuthor | Hepatocellular carcinoma | - |
dc.subject.keywordAuthor | Liver | - |
dc.subject.keywordAuthor | Magnetic resonance imaging | - |
dc.subject.keywordAuthor | Guideline | - |
dc.subject.keywordPlus | LI-RADS | - |
dc.subject.keywordPlus | DATA SYSTEM | - |
dc.subject.keywordPlus | CIRRHOSIS | - |
dc.subject.keywordPlus | RELIABILITY | - |
dc.subject.keywordPlus | FEATURES | - |
dc.subject.keywordPlus | NODULES | - |
dc.subject.keywordPlus | CT | - |
dc.relation.journalResearchArea | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.relation.journalWebOfScienceCategory | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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