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DC Field | Value | Language |
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dc.contributor.author | Min, Ji Hye | - |
dc.contributor.author | Kim, Jong Man | - |
dc.contributor.author | Kim, Young Kon | - |
dc.contributor.author | Kim, Honsoul | - |
dc.contributor.author | Choi, Gyu Seong | - |
dc.contributor.author | Kang, Tae Wook | - |
dc.contributor.author | Cha, Dongik | - |
dc.contributor.author | Hwang, Jeong Ah | - |
dc.contributor.author | Ko, Seong Eun | - |
dc.contributor.author | Ahn, Soohyun | - |
dc.date.issued | 2022-02-01 | - |
dc.identifier.uri | https://dspace.ajou.ac.kr/dev/handle/2018.oak/32174 | - |
dc.description.abstract | Objective: To elucidate whether the presence of enhancing capsule can be applied to establish a modified Liver Imaging Reporting and Data System (LI-RADS) to differentiate hepatocellular carcinoma (HCC) from non-HCC malignancies in extracellular contrast agent (ECA)–enhanced and hepatobiliary agent (HBA)–enhanced MRI. Methods: We enrolled 198 participants (161 men; mean age, 56.3 years) with chronic liver disease who underwent ECA-MRI and HBA-MRI before surgery for de novo hepatic nodule(s). Two reviewers assigned LI-RADS categories (v2018). We defined a “modified LR-5 category, which emphasizes enhancing capsule (mLR-5C)” over targetoid features and classifies tumors with both targetoid appearance and enhancing capsule as HCC instead of LR-M. We compared the diagnostic performance of conventional LI-RADS and modified LI-RADS criteria for both MRIs. Results: A total of 258 hepatic nodules (194 HCCs, 43 benign lesions, and 21 non-HCC malignancies; median size, 19 mm) were analyzed. By conventional LI-RADS, 47 (18.2%) nodules (31 HCCs and 16 non-HCC malignancies) were categorized as LR-M. The mLR-5C criterion showed superior sensitivity (ECA-MRI, 76.6% vs. 67.0%; HBA-MRI, 60.4% vs. 56.3%; both p < 0.05) while maintaining high specificity (ECA-MRI, 93.8% vs. 98.4%; HBA-MRI, 95.3% vs. 98.4%; both p > 0.05) compared with the LR-5 criterion. Using the mLR-5C criterion, ECA-MRI exhibited higher sensitivity than HBA-MRI (76.6% vs. 60.4%, p < 0.001) and similar specificity (93.8% vs. 95.3%, p > 0.99). Conclusion: Our modified LI-RADS achieved superior sensitivity for diagnosing HCC, without compromising specificity compared with LR-5. ECA-MRI showed higher sensitivity in diagnosing HCC than HBA-MRI by applying the mLR-5C for LR-M lesions. Key Points: • By conventional LI-RADS, 31 (16.0%) of 194 HCCs were categorized as LR-M. • Among 31 HCCs categorized as LR-M, 19 HCCs or 8 HCCs were recategorized as HCC on ECA-MRI or HBA-MRI, respectively, after applying the modified LR-5 category, which allocates targetoid lesions with enhancing capsule as mLR-5C instead of LR-M. • The mLR-5C showed superior sensitivity compared with the LR-5 in both MRIs (ECA-MRI, 76.6% vs. 67.0%; HBA-MRI, 60.4% vs. 56.3%, both p < 0.05), while maintaining high specificity (ECA-MRI, 93.8% vs. 98.4%; HBA-MRI, 95.3% vs. 98.4%; both p > 0.05). | - |
dc.language.iso | eng | - |
dc.publisher | Springer Science and Business Media Deutschland GmbH | - |
dc.subject.mesh | Carcinoma, Hepatocellular | - |
dc.subject.mesh | Contrast Media | - |
dc.subject.mesh | Humans | - |
dc.subject.mesh | Liver Neoplasms | - |
dc.subject.mesh | Magnetic Resonance Imaging | - |
dc.subject.mesh | Male | - |
dc.subject.mesh | Middle Aged | - |
dc.subject.mesh | Retrospective Studies | - |
dc.subject.mesh | Sensitivity and Specificity | - |
dc.title | A modified LI-RADS: targetoid tumors with enhancing capsule can be diagnosed as HCC instead of LR-M lesions | - |
dc.type | Article | - |
dc.citation.endPage | 922 | - |
dc.citation.startPage | 912 | - |
dc.citation.title | European Radiology | - |
dc.citation.volume | 32 | - |
dc.identifier.bibliographicCitation | European Radiology, Vol.32, pp.912-922 | - |
dc.identifier.doi | 10.1007/s00330-021-08124-0 | - |
dc.identifier.pmid | 34345947 | - |
dc.identifier.scopusid | 2-s2.0-85111711490 | - |
dc.identifier.url | www.link.springer.de/link/service/journals/00330/index.htm | - |
dc.subject.keyword | Carcinoma, hepatocellular | - |
dc.subject.keyword | Liver Imaging Reporting and Data System | - |
dc.subject.keyword | Magnetic resonance imaging | - |
dc.description.isoa | false | - |
dc.subject.subarea | Radiology, Nuclear Medicine and Imaging | - |
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