Cited 12 times in
MRI-diagnosis of category LR-M observations in the Liver Imaging Reporting and Data System v2018: a systematic review and meta-analysis
DC Field | Value | Language |
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dc.contributor.author | 박미숙 | - |
dc.contributor.author | 신재승 | - |
dc.contributor.author | 이선영 | - |
dc.contributor.author | 정용은 | - |
dc.contributor.author | 최진영 | - |
dc.date.accessioned | 2022-07-08T03:24:45Z | - |
dc.date.available | 2022-07-08T03:24:45Z | - |
dc.date.issued | 2022-05 | - |
dc.identifier.issn | 0938-7994 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/188837 | - |
dc.description.abstract | Objectives: We performed a meta-analysis to determine the probability of hepatocellular carcinoma (HCC) and non-HCC malignancies in Liver Imaging Reporting and Data System (LI-RADS) category M (LR-M) observations and the frequency of defined LR-M imaging features on MRI using LI-RADS v2018. Methods: We searched the MEDLINE and EMBASE databases to identify studies published from 1 January 2018 to 16 March 2021 reporting the probability of category LR-M in HCC and non-HCC malignancies on MRI. The pooled percentages of HCC and non-HCC malignancies in the LR-M observations were evaluated. Meta-regression analysis was performed to identify factors for study heterogeneity. The frequencies of defined LR-M imaging features were also calculated. Risk of bias and concerns regarding applicability were evaluated using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Results: We identified 18 studies reporting the diagnostic performance of the LR-M category (3,812 observations in 3,615 patients), with nine studies reporting the frequencies of LR-M imaging features. The pooled percentages of HCC and non-HCC malignancies in the LR-M observations were 29% (95% confidence interval [CI], 21-38%) and 67% (95%CI, 57-77%), respectively. The study type and inclusion of benign lesions were significant factors for study heterogeneity. Of the 10 LR-M imaging features, rim arterial phase hyperenhancement (APHE) showed the highest frequency in non-HCC malignancies (68%; 95%CI, 61-75%). Conclusions: The LR-M category was commonly used to characterize non-HCC malignancies, but also included 29% of HCC. The frequencies of the different LR-M imaging features were variable, with rim APHE showing the highest frequency in non-HCC malignancies. Key points: • In the LR-M category using LI-RADS v2018 for MRI, the pooled percentage of malignancies in general was 96%, with 29% HCC and 67% non-HCC malignancies, while the remaining 4% was benign entity. • The study type and inclusion of benign lesions were significant factors contributing to substantial heterogeneity among included studies. • The frequencies of the different LR-M imaging features were variable, with rim APHE showing the highest frequency in non-HCC malignancies. | - |
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 | Contrast Media | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Liver Neoplasms* / diagnostic imaging | - |
dc.subject.MESH | Magnetic Resonance Imaging / methods | - |
dc.subject.MESH | Retrospective Studies | - |
dc.subject.MESH | Sensitivity and Specificity | - |
dc.title | MRI-diagnosis of category LR-M observations in the Liver Imaging Reporting and Data System v2018: a systematic review and meta-analysis | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Radiology (영상의학교실) | - |
dc.contributor.googleauthor | Jaeseung Shin | - |
dc.contributor.googleauthor | Sunyoung Lee | - |
dc.contributor.googleauthor | Jeong Ah Hwang | - |
dc.contributor.googleauthor | Ji Eun Lee | - |
dc.contributor.googleauthor | Yong Eun Chung | - |
dc.contributor.googleauthor | Jin-Young Choi | - |
dc.contributor.googleauthor | Mi-Suk Park | - |
dc.identifier.doi | 10.1007/s00330-021-08382-y | - |
dc.contributor.localId | A01463 | - |
dc.contributor.localId | A05599 | - |
dc.contributor.localId | A05659 | - |
dc.contributor.localId | A03662 | - |
dc.contributor.localId | A04200 | - |
dc.relation.journalcode | J00851 | - |
dc.identifier.eissn | 1432-1084 | - |
dc.identifier.pmid | 35031839 | - |
dc.identifier.url | https://link.springer.com/article/10.1007/s00330-021-08382-y | - |
dc.subject.keyword | Diagnosis | - |
dc.subject.keyword | Liver neoplasms | - |
dc.subject.keyword | Magnetic resonance imaging | - |
dc.subject.keyword | Meta-analysis | - |
dc.subject.keyword | Systematic review | - |
dc.contributor.alternativeName | Park, Mi Sook | - |
dc.contributor.affiliatedAuthor | 박미숙 | - |
dc.contributor.affiliatedAuthor | 신재승 | - |
dc.contributor.affiliatedAuthor | 이선영 | - |
dc.contributor.affiliatedAuthor | 정용은 | - |
dc.contributor.affiliatedAuthor | 최진영 | - |
dc.citation.volume | 32 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 3319 | - |
dc.citation.endPage | 3326 | - |
dc.identifier.bibliographicCitation | EUROPEAN RADIOLOGY, Vol.32(5) : 3319-3326, 2022-05 | - |
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