Cited 7 times in
LI-RADS Version 2018 Treatment Response Algorithm: Diagnostic Performance after Transarterial Radioembolization for Hepatocellular Carcinoma
DC Field | Value | Language |
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dc.contributor.author | 김경민 | - |
dc.contributor.author | 김승섭 | - |
dc.contributor.author | 신재승 | - |
dc.contributor.author | 원종윤 | - |
dc.contributor.author | 이선영 | - |
dc.date.accessioned | 2021-09-29T01:56:36Z | - |
dc.date.available | 2021-09-29T01:56:36Z | - |
dc.date.issued | 2021-08 | - |
dc.identifier.issn | 1229-6929 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/184628 | - |
dc.description.abstract | Objective: To assess the diagnostic performance of the Liver Imaging Reporting and Data System (LI-RADS) version 2018 treatment response algorithm (TRA) for the evaluation of hepatocellular carcinoma (HCC) treated with transarterial radioembolization. Materials and methods: This retrospective study included patients who underwent transarterial radioembolization for HCC followed by hepatic surgery between January 2011 and December 2019. The resected lesions were determined to have either complete (100%) or incomplete (< 100%) necrosis based on histopathology. Three radiologists independently reviewed the CT or MR images of pre- and post-treatment lesions and assigned categories based on the LI-RADS version 2018 and the TRA, respectively. Diagnostic performances of LI-RADS treatment response (LR-TR) viable and nonviable categories were assessed for each reader, using histopathology from hepatic surgeries as a reference standard. Inter-reader agreements were evaluated using Fleiss κ. Results: A total of 27 patients (mean age ± standard deviation, 55.9 ± 9.1 years; 24 male) with 34 lesions (15 with complete necrosis and 19 with incomplete necrosis on histopathology) were included. To predict complete necrosis, the LR-TR nonviable category had a sensitivity of 73.3-80.0% and a specificity of 78.9-89.5%. For predicting incomplete necrosis, the LR-TR viable category had a sensitivity of 73.7-79.0% and a specificity of 93.3-100%. Five (14.7%) of 34 treated lesions were categorized as LR-TR equivocal by consensus, with two of the five lesions demonstrating incomplete necrosis. Inter-reader agreement for the LR-TR category was 0.81 (95% confidence interval: 0.66-0.96). Conclusion: The LI-RADS version 2018 TRA can be used to predict the histopathologic viability of HCCs treated with transarterial radioembolization. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | Korean Society of Radiology | - |
dc.relation.isPartOf | KOREAN JOURNAL OF RADIOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | LI-RADS Version 2018 Treatment Response Algorithm: Diagnostic Performance after Transarterial Radioembolization for Hepatocellular Carcinoma | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Radiology (영상의학교실) | - |
dc.contributor.googleauthor | Jongjin Yoon | - |
dc.contributor.googleauthor | Sunyoung Lee | - |
dc.contributor.googleauthor | Jaeseung Shin | - |
dc.contributor.googleauthor | Seung Seob Kim | - |
dc.contributor.googleauthor | Gyoung Min Kim | - |
dc.contributor.googleauthor | Jong Yun Won | - |
dc.identifier.doi | 10.3348/kjr.2020.1159 | - |
dc.contributor.localId | A00296 | - |
dc.contributor.localId | A05097 | - |
dc.contributor.localId | A05599 | - |
dc.contributor.localId | A02443 | - |
dc.contributor.localId | A05659 | - |
dc.relation.journalcode | J02884 | - |
dc.identifier.eissn | 2005-8330 | - |
dc.identifier.pmid | 33987991 | - |
dc.subject.keyword | Liver neoplasms | - |
dc.subject.keyword | Posttreatment imaging | - |
dc.subject.keyword | Radioembolization | - |
dc.subject.keyword | Response | - |
dc.subject.keyword | Sensitivity and specificity | - |
dc.contributor.alternativeName | Kim, Gyoung Min | - |
dc.contributor.affiliatedAuthor | 김경민 | - |
dc.contributor.affiliatedAuthor | 김승섭 | - |
dc.contributor.affiliatedAuthor | 신재승 | - |
dc.contributor.affiliatedAuthor | 원종윤 | - |
dc.contributor.affiliatedAuthor | 이선영 | - |
dc.citation.volume | 22 | - |
dc.citation.number | 8 | - |
dc.citation.startPage | 1279 | - |
dc.citation.endPage | 1288 | - |
dc.identifier.bibliographicCitation | KOREAN JOURNAL OF RADIOLOGY, Vol.22(8) : 1279-1288, 2021-08 | - |
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