Risk assessment of hepatocellular carcinoma development for indeterminate hepatic nodules in patients with chronic hepatitis B
Background/Aims A risk prediction model for the development of hepatocellular carcinoma (HCC) from indeterminate nodules detected on computed tomography (CT) (RadCT score) in patients with chronic hepatitis B (CHB)-related cirrhosis was proposed. We validated this model for indeterminate nodules on...
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| Format: | Article |
| Language: | English |
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Korean Association for the Study of the Liver
2019-12-01
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| Series: | Clinical and Molecular Hepatology |
| Subjects: | |
| Online Access: | http://e-cmh.org/upload/pdf/cmh-2018-0103.pdf |
| _version_ | 1819079202736963584 |
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| author | Haneulsaem Shin Yeon Woo Jung Beom Kyung Kim Jun Yong Park Do Young Kim Sang Hoon Ahn Kwang-Hyub Han Yeun-Yoon Kim Jin-Young Choi Seung Up Kim |
| author_facet | Haneulsaem Shin Yeon Woo Jung Beom Kyung Kim Jun Yong Park Do Young Kim Sang Hoon Ahn Kwang-Hyub Han Yeun-Yoon Kim Jin-Young Choi Seung Up Kim |
| author_sort | Haneulsaem Shin |
| collection | DOAJ |
| description | Background/Aims A risk prediction model for the development of hepatocellular carcinoma (HCC) from indeterminate nodules detected on computed tomography (CT) (RadCT score) in patients with chronic hepatitis B (CHB)-related cirrhosis was proposed. We validated this model for indeterminate nodules on magnetic resonance imaging (MRI). Methods Between 2013 and 2016, Liver Imaging Reporting and Data System (LI-RADS) 2/3 nodules on MRI were detected in 99 patients with CHB. The RadCT score was calculated. Results The median age of the 72 male and 27 female subjects was 58 years. HCC history and liver cirrhosis were found in 47 (47.5%) and 44 (44.4%) patients, respectively. The median RadCT score was 112. The patients with HCC (n=41, 41.4%) showed significantly higher RadCT scores than those without (median, 119 vs. 107; P=0.013); the Chinese university-HCC and risk estimation for HCC in CHB (REACH-B) scores were similar (both P>0.05). Arterial enhancement, T2 hyperintensity, and diffusion restriction on MRI were not significantly different in the univariate analysis (all P>0.05); only the RadCT score significantly predicted HCC (hazard ratio [HR]=1.018; P=0.007). Multivariate analysis showed HCC history was the only independent HCC predictor (HR=2.374; P=0.012). When the subjects were stratified into three risk groups based on the RadCT score (<60, 60–105, and >105), the cumulative HCC incidence was not significantly different among them (all P>0.05, log-rank test). Conclusions HCC history, but not RadCT score, predicted CHB-related HCC development from LI-RADS 2/3 nodules. New risk models optimized for MRI-defined indeterminate nodules are required. |
| first_indexed | 2024-12-21T19:25:15Z |
| format | Article |
| id | doaj.art-50e1d82beeb04badbf5adde439ebf612 |
| institution | Directory Open Access Journal |
| issn | 2287-2728 2287-285X |
| language | English |
| last_indexed | 2024-12-21T19:25:15Z |
| publishDate | 2019-12-01 |
| publisher | Korean Association for the Study of the Liver |
| record_format | Article |
| series | Clinical and Molecular Hepatology |
| spelling | doaj.art-50e1d82beeb04badbf5adde439ebf6122022-12-21T18:52:51ZengKorean Association for the Study of the LiverClinical and Molecular Hepatology2287-27282287-285X2019-12-0125439039910.3350/cmh.2018.01031468Risk assessment of hepatocellular carcinoma development for indeterminate hepatic nodules in patients with chronic hepatitis BHaneulsaem Shin0Yeon Woo Jung1Beom Kyung Kim2Jun Yong Park3Do Young Kim4Sang Hoon Ahn5Kwang-Hyub Han6Yeun-Yoon Kim7Jin-Young Choi8Seung Up Kim9 Department of Internal Medicine and Yonsei University College of Medicine, Seoul, Korea Department of Internal Medicine and Yonsei University College of Medicine, Seoul, Korea Department of Internal Medicine and Yonsei University College of Medicine, Seoul, Korea Department of Internal Medicine and Yonsei University College of Medicine, Seoul, Korea Department of Internal Medicine and Yonsei University College of Medicine, Seoul, Korea Department of Internal Medicine and Yonsei University College of Medicine, Seoul, Korea Department of Internal Medicine and Yonsei University College of Medicine, Seoul, Korea Department of Radiology, Yonsei University College of Medicine, Seoul, Korea Department of Radiology, Yonsei University College of Medicine, Seoul, Korea Department of Internal Medicine and Yonsei University College of Medicine, Seoul, KoreaBackground/Aims A risk prediction model for the development of hepatocellular carcinoma (HCC) from indeterminate nodules detected on computed tomography (CT) (RadCT score) in patients with chronic hepatitis B (CHB)-related cirrhosis was proposed. We validated this model for indeterminate nodules on magnetic resonance imaging (MRI). Methods Between 2013 and 2016, Liver Imaging Reporting and Data System (LI-RADS) 2/3 nodules on MRI were detected in 99 patients with CHB. The RadCT score was calculated. Results The median age of the 72 male and 27 female subjects was 58 years. HCC history and liver cirrhosis were found in 47 (47.5%) and 44 (44.4%) patients, respectively. The median RadCT score was 112. The patients with HCC (n=41, 41.4%) showed significantly higher RadCT scores than those without (median, 119 vs. 107; P=0.013); the Chinese university-HCC and risk estimation for HCC in CHB (REACH-B) scores were similar (both P>0.05). Arterial enhancement, T2 hyperintensity, and diffusion restriction on MRI were not significantly different in the univariate analysis (all P>0.05); only the RadCT score significantly predicted HCC (hazard ratio [HR]=1.018; P=0.007). Multivariate analysis showed HCC history was the only independent HCC predictor (HR=2.374; P=0.012). When the subjects were stratified into three risk groups based on the RadCT score (<60, 60–105, and >105), the cumulative HCC incidence was not significantly different among them (all P>0.05, log-rank test). Conclusions HCC history, but not RadCT score, predicted CHB-related HCC development from LI-RADS 2/3 nodules. New risk models optimized for MRI-defined indeterminate nodules are required.http://e-cmh.org/upload/pdf/cmh-2018-0103.pdfradiographic image interpretation, computer-assistedliver neoplasmshepatitis brisk assessmenthepatocellular carcinoma |
| spellingShingle | Haneulsaem Shin Yeon Woo Jung Beom Kyung Kim Jun Yong Park Do Young Kim Sang Hoon Ahn Kwang-Hyub Han Yeun-Yoon Kim Jin-Young Choi Seung Up Kim Risk assessment of hepatocellular carcinoma development for indeterminate hepatic nodules in patients with chronic hepatitis B Clinical and Molecular Hepatology radiographic image interpretation, computer-assisted liver neoplasms hepatitis b risk assessment hepatocellular carcinoma |
| title | Risk assessment of hepatocellular carcinoma development for indeterminate hepatic nodules in patients with chronic hepatitis B |
| title_full | Risk assessment of hepatocellular carcinoma development for indeterminate hepatic nodules in patients with chronic hepatitis B |
| title_fullStr | Risk assessment of hepatocellular carcinoma development for indeterminate hepatic nodules in patients with chronic hepatitis B |
| title_full_unstemmed | Risk assessment of hepatocellular carcinoma development for indeterminate hepatic nodules in patients with chronic hepatitis B |
| title_short | Risk assessment of hepatocellular carcinoma development for indeterminate hepatic nodules in patients with chronic hepatitis B |
| title_sort | risk assessment of hepatocellular carcinoma development for indeterminate hepatic nodules in patients with chronic hepatitis b |
| topic | radiographic image interpretation, computer-assisted liver neoplasms hepatitis b risk assessment hepatocellular carcinoma |
| url | http://e-cmh.org/upload/pdf/cmh-2018-0103.pdf |
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