Cited 8 times in
Liver Imaging Reporting and Data System version 2018 category 5 for diagnosing hepatocellular carcinoma: an updated meta-analysis
DC Field | Value | Language |
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dc.contributor.author | 김연윤 | - |
dc.contributor.author | 이선영 | - |
dc.contributor.author | 최진영 | - |
dc.date.accessioned | 2024-04-11T06:35:22Z | - |
dc.date.available | 2024-04-11T06:35:22Z | - |
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 | Objective: We 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. Methods: The 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. Results: Forty-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). Conclusions: LI-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 statement: Refinement of the criteria for improving sensitivity while maintaining high specificity of LR-5 for HCC diagnosis may be an essential future direction. Key points: • The pooled per-observation sensitivity and specificity of LR-5 for diagnosing HCC using LI-RADSv2018 were 66% and 91%, respectively. • ECA-MRI showed higher sensitivity than CT (77% vs 66%, p = 0.023) or Gx-MRI (77% vs 65%, p = 0.001). • 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.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Carcinoma, Hepatocellular* / diagnostic imaging | - |
dc.subject.MESH | Chelating Agents | - |
dc.subject.MESH | Contrast Media / pharmacology | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Liver Neoplasms* / diagnostic imaging | - |
dc.subject.MESH | Magnetic Resonance Imaging / methods | - |
dc.subject.MESH | Meglumine | - |
dc.subject.MESH | Organometallic Compounds* | - |
dc.subject.MESH | Retrospective Studies | - |
dc.subject.MESH | Sensitivity and Specificity | - |
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 | Sunyoung Lee | - |
dc.contributor.googleauthor | Yeun-Yoon Kim | - |
dc.contributor.googleauthor | Jaeseung Shin | - |
dc.contributor.googleauthor | Yun Ho Roh | - |
dc.contributor.googleauthor | Jin-Young Choi | - |
dc.contributor.googleauthor | Victoria Chernyak | - |
dc.contributor.googleauthor | Claude B Sirlin | - |
dc.identifier.doi | 10.1007/s00330-023-10134-z | - |
dc.contributor.localId | A04902 | - |
dc.contributor.localId | A05659 | - |
dc.contributor.localId | A04200 | - |
dc.relation.journalcode | J00851 | - |
dc.identifier.eissn | 1432-1084 | - |
dc.identifier.pmid | 37656177 | - |
dc.identifier.url | https://link.springer.com/article/10.1007/s00330-023-10134-z | - |
dc.subject.keyword | Carcinoma, hepatocellular | - |
dc.subject.keyword | Contrast media | - |
dc.subject.keyword | Diagnosis | - |
dc.subject.keyword | Liver neoplasm | - |
dc.subject.keyword | Radiology | - |
dc.contributor.alternativeName | Kim, Yeun-Yoon | - |
dc.contributor.affiliatedAuthor | 김연윤 | - |
dc.contributor.affiliatedAuthor | 이선영 | - |
dc.contributor.affiliatedAuthor | 최진영 | - |
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 | - |
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