Cited 0 times in 
Cited 9 times in 
Liver Imaging Reporting and Data System version 2018 category 5 for diagnosing hepatocellular carcinoma: an updated meta-analysis
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, Sunyoung | - |
| dc.contributor.author | Kim, Yeun-Yoon | - |
| dc.contributor.author | Shin, Jaeseung | - |
| dc.contributor.author | Roh, Yun Ho | - |
| dc.contributor.author | Choi, Jin-Young | - |
| dc.contributor.author | Chernyak, Victoria | - |
| dc.contributor.author | Sirlin, Claude B. | - |
| dc.date.accessioned | 2024-04-11T06:35:22Z | - |
| dc.date.available | 2024-04-11T06:35:22Z | - |
| dc.date.created | 2024-04-18 | - |
| dc.date.issued | 2024-03 | - |
| dc.identifier.issn | 0938-7994 | - |
| dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/198823 | - |
| dc.description.abstract | ObjectiveWe performed an updated meta-analysis to determine the diagnostic performance of Liver Imaging Reporting and Data System (LI-RADS, LR) 5 category for hepatocellular carcinoma (HCC) using LI-RADS version 2018 (v2018), and to evaluate differences by imaging modalities and type of MRI contrast material.MethodsThe MEDLINE and Embase databases were searched for studies reporting the performance of LR-5 using v2018 for diagnosing HCC. A bivariate random-effects model was used to calculate the pooled per-observation sensitivity and specificity. Subgroup analysis was performed based on imaging modalities and type of MRI contrast material.ResultsForty-eight studies qualified for the meta-analysis, comprising 9031 patients, 10,547 observations, and 7216 HCCs. The pooled per-observation sensitivity and specificity of LR-5 for diagnosing HCC were 66% (95% CI, 61-70%) and 91% (95% CI, 89-93%), respectively. In the subgroup analysis, MRI with extracellular agent (ECA-MRI) showed significantly higher pooled sensitivity (77% [95% CI, 70-82%]) than CT (66% [95% CI, 58-73%]; p = 0.023) or MRI with gadoxetate (Gx-MRI) (65% [95% CI, 60-70%]; p = 0.001), but there was no significant difference between ECA-MRI and MRI with gadobenate (gadobenate-MRI) (73% [95% CI, 61-82%]; p = 0.495). Pooled specificities were 88% (95% CI, 80-93%) for CT, 92% (95% CI, 86-95%) for ECA-MRI, 93% (95% CI, 91-95%) for Gx-MRI, and 91% (95% CI, 84-95%) for gadobenate-MRI without significant differences (p = 0.084-0.803).ConclusionsLI-RADS v2018 LR-5 provides high specificity for HCC diagnosis regardless of modality or contrast material, while ECA-MRI showed higher sensitivity than CT or Gx-MRI.Clinical relevance statementRefinement of the criteria for improving sensitivity while maintaining high specificity of LR-5 for HCC diagnosis may be an essential future direction.Key Points & BULL; The pooled per-observation sensitivity and specificity of LR-5 for diagnosing HCC using LI-RADSv2018 were 66% and 91%, respectively.& BULL; ECA-MRI showed higher sensitivity than CT (77% vs 66%, p = 0.023) or Gx-MRI (77% vs 65%, p = 0.001).& BULL; LI-RADS v2018 LR-5 provides high specificity (88-93%) for HCC diagnosis regardless of modality or contrast material type.Key Points & BULL; The pooled per-observation sensitivity and specificity of LR-5 for diagnosing HCC using LI-RADSv2018 were 66% and 91%, respectively.& BULL; ECA-MRI showed higher sensitivity than CT (77% vs 66%, p = 0.023) or Gx-MRI (77% vs 65%, p = 0.001).& BULL; LI-RADS v2018 LR-5 provides high specificity (88-93%) for HCC diagnosis regardless of modality or contrast material type.Key Points & BULL; The pooled per-observation sensitivity and specificity of LR-5 for diagnosing HCC using LI-RADSv2018 were 66% and 91%, respectively.& BULL; ECA-MRI showed higher sensitivity than CT (77% vs 66%, p = 0.023) or Gx-MRI (77% vs 65%, p = 0.001).& BULL; LI-RADS v2018 LR-5 provides high specificity (88-93%) for HCC diagnosis regardless of modality or contrast material type. | - |
| dc.description.statementOfResponsibility | restriction | - |
| dc.language | English | - |
| dc.publisher | Springer International | - |
| dc.relation.isPartOf | EUROPEAN RADIOLOGY | - |
| dc.relation.isPartOf | EUROPEAN RADIOLOGY | - |
| dc.rights | CC BY-NC-ND 2.0 KR | - |
| dc.title | Liver Imaging Reporting and Data System version 2018 category 5 for diagnosing hepatocellular carcinoma: an updated meta-analysis | - |
| dc.type | Article | - |
| dc.contributor.college | College of Medicine (의과대학) | - |
| dc.contributor.department | Dept. of Radiology (영상의학교실) | - |
| dc.contributor.googleauthor | Lee, Sunyoung | - |
| dc.contributor.googleauthor | Kim, Yeun-Yoon | - |
| dc.contributor.googleauthor | Shin, Jaeseung | - |
| dc.contributor.googleauthor | Roh, Yun Ho | - |
| dc.contributor.googleauthor | Choi, Jin-Young | - |
| dc.contributor.googleauthor | Chernyak, Victoria | - |
| dc.contributor.googleauthor | Sirlin, Claude B. | - |
| dc.identifier.doi | 10.1007/s00330-023-10134-z | - |
| dc.relation.journalcode | J00851 | - |
| dc.identifier.eissn | 1432-1084 | - |
| dc.identifier.pmid | 37656177 | - |
| dc.subject.keyword | Liver neoplasm | - |
| dc.subject.keyword | Carcinoma, hepatocellular | - |
| dc.subject.keyword | Radiology | - |
| dc.subject.keyword | Diagnosis | - |
| dc.subject.keyword | Contrast media | - |
| dc.contributor.alternativeName | Kim, Yeun-Yoon | - |
| dc.contributor.affiliatedAuthor | Lee, Sunyoung | - |
| dc.contributor.affiliatedAuthor | Kim, Yeun-Yoon | - |
| dc.contributor.affiliatedAuthor | Roh, Yun Ho | - |
| dc.contributor.affiliatedAuthor | Choi, Jin-Young | - |
| dc.identifier.scopusid | 2-s2.0-85169325223 | - |
| dc.identifier.wosid | 001060221100002 | - |
| dc.citation.volume | 34 | - |
| dc.citation.number | 3 | - |
| dc.citation.startPage | 1502 | - |
| dc.citation.endPage | 1514 | - |
| dc.identifier.bibliographicCitation | EUROPEAN RADIOLOGY, Vol.34(3) : 1502-1514, 2024-03 | - |
| dc.identifier.rimsid | 83312 | - |
| dc.type.rims | ART | - |
| dc.description.journalClass | 1 | - |
| dc.description.journalClass | 1 | - |
| dc.subject.keywordAuthor | Liver neoplasm | - |
| dc.subject.keywordAuthor | Carcinoma, hepatocellular | - |
| dc.subject.keywordAuthor | Radiology | - |
| dc.subject.keywordAuthor | Diagnosis | - |
| dc.subject.keywordAuthor | Contrast media | - |
| dc.subject.keywordPlus | LI-RADS | - |
| dc.subject.keywordPlus | GADOXETIC ACID | - |
| dc.subject.keywordPlus | COMPUTED-TOMOGRAPHY | - |
| dc.subject.keywordPlus | HIGH-RISK | - |
| dc.subject.keywordPlus | CT | - |
| dc.subject.keywordPlus | MRI | - |
| dc.subject.keywordPlus | PERFORMANCE | - |
| dc.subject.keywordPlus | ACCURACY | - |
| dc.subject.keywordPlus | CRITERIA | - |
| dc.subject.keywordPlus | CEUS | - |
| 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.