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...
Gespeichert in:
Veröffentlicht in: | Clinical and molecular hepatology 2019-12, Vol.25 (4), p.390 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | kor |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 4 |
container_start_page | 390 |
container_title | Clinical and molecular hepatology |
container_volume | 25 |
creator | 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 |
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. (Clin Mol Hepatol 2019;25:390-399) |
format | Article |
fullrecord | <record><control><sourceid>kiss</sourceid><recordid>TN_cdi_kiss_primary_3739301</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><kiss_id>3739301</kiss_id><sourcerecordid>3739301</sourcerecordid><originalsourceid>FETCH-kiss_primary_37393013</originalsourceid><addsrcrecordid>eNp9y8EKwjAQBNAcFBTtF3jZHyjYphK9Kopn8S4x3dLFNCnZVPHit1utZ08DM29GYprna5XmKl9PRMJM12VRKCmzYjUVrxPxDTQzMjfoIvgKamx19Aat7awOYHQw5HyjocQ7Wt9-XeUDkCsxYmjI6YjDjQw4X3YWuV_hU_SY4UGxBlMH73owwEgM27kYV9oyJr-cicVhf94d0xsxX9pAjQ7Pi1RyI5eZ_L--AZf5TBE</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Risk assessment of hepatocellular carcinoma development for indeterminate hepatic nodules in patients with chronic hepatitis B</title><source>ProQuest One Community College</source><source>KoreaMed Synapse</source><source>KoreaMed Open Access</source><source>ProQuest Central (Alumni Edition)</source><source>DOAJ Directory of Open Access Journals</source><source>ProQuest Central UK/Ireland</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><source>PubMed Central Open Access</source><source>ProQuest Central</source><creator>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</creator><creatorcontrib>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</creatorcontrib><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. (Clin Mol Hepatol 2019;25:390-399)</description><identifier>ISSN: 2287-2728</identifier><language>kor</language><publisher>대한간학회</publisher><subject>Computer-assisted; Liver neoplasms; Hepatitis B; Risk assessment; Hepatocellular carcinoma ; Radiographic image interpretation</subject><ispartof>Clinical and molecular hepatology, 2019-12, Vol.25 (4), p.390</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids></links><search><creatorcontrib>Haneulsaem Shin</creatorcontrib><creatorcontrib>Yeon Woo Jung</creatorcontrib><creatorcontrib>Beom Kyung Kim</creatorcontrib><creatorcontrib>Jun Yong Park</creatorcontrib><creatorcontrib>Do Young Kim</creatorcontrib><creatorcontrib>Sang Hoon Ahn</creatorcontrib><creatorcontrib>Kwang-hyub Han</creatorcontrib><creatorcontrib>Yeun-yoon Kim</creatorcontrib><creatorcontrib>Jin-young Choi</creatorcontrib><creatorcontrib>Seung Up Kim</creatorcontrib><title>Risk assessment of hepatocellular carcinoma development for indeterminate hepatic nodules in patients with chronic hepatitis B</title><title>Clinical and molecular hepatology</title><addtitle>Clinical and Molecular Hepatology(대한간학회지)</addtitle><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. (Clin Mol Hepatol 2019;25:390-399)</description><subject>Computer-assisted; Liver neoplasms; Hepatitis B; Risk assessment; Hepatocellular carcinoma</subject><subject>Radiographic image interpretation</subject><issn>2287-2728</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9y8EKwjAQBNAcFBTtF3jZHyjYphK9Kopn8S4x3dLFNCnZVPHit1utZ08DM29GYprna5XmKl9PRMJM12VRKCmzYjUVrxPxDTQzMjfoIvgKamx19Aat7awOYHQw5HyjocQ7Wt9-XeUDkCsxYmjI6YjDjQw4X3YWuV_hU_SY4UGxBlMH73owwEgM27kYV9oyJr-cicVhf94d0xsxX9pAjQ7Pi1RyI5eZ_L--AZf5TBE</recordid><startdate>20191231</startdate><enddate>20191231</enddate><creator>Haneulsaem Shin</creator><creator>Yeon Woo Jung</creator><creator>Beom Kyung Kim</creator><creator>Jun Yong Park</creator><creator>Do Young Kim</creator><creator>Sang Hoon Ahn</creator><creator>Kwang-hyub Han</creator><creator>Yeun-yoon Kim</creator><creator>Jin-young Choi</creator><creator>Seung Up Kim</creator><general>대한간학회</general><scope>HZB</scope><scope>Q5X</scope></search><sort><creationdate>20191231</creationdate><title>Risk assessment of hepatocellular carcinoma development for indeterminate hepatic nodules in patients with chronic hepatitis B</title><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></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-kiss_primary_37393013</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>kor</language><creationdate>2019</creationdate><topic>Computer-assisted; Liver neoplasms; Hepatitis B; Risk assessment; Hepatocellular carcinoma</topic><topic>Radiographic image interpretation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Haneulsaem Shin</creatorcontrib><creatorcontrib>Yeon Woo Jung</creatorcontrib><creatorcontrib>Beom Kyung Kim</creatorcontrib><creatorcontrib>Jun Yong Park</creatorcontrib><creatorcontrib>Do Young Kim</creatorcontrib><creatorcontrib>Sang Hoon Ahn</creatorcontrib><creatorcontrib>Kwang-hyub Han</creatorcontrib><creatorcontrib>Yeun-yoon Kim</creatorcontrib><creatorcontrib>Jin-young Choi</creatorcontrib><creatorcontrib>Seung Up Kim</creatorcontrib><collection>Korea Information Science Society (KISS)</collection><collection>Korean Studies Information Service System (KISS) B-Type</collection><jtitle>Clinical and molecular hepatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Haneulsaem Shin</au><au>Yeon Woo Jung</au><au>Beom Kyung Kim</au><au>Jun Yong Park</au><au>Do Young Kim</au><au>Sang Hoon Ahn</au><au>Kwang-hyub Han</au><au>Yeun-yoon Kim</au><au>Jin-young Choi</au><au>Seung Up Kim</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risk assessment of hepatocellular carcinoma development for indeterminate hepatic nodules in patients with chronic hepatitis B</atitle><jtitle>Clinical and molecular hepatology</jtitle><addtitle>Clinical and Molecular Hepatology(대한간학회지)</addtitle><date>2019-12-31</date><risdate>2019</risdate><volume>25</volume><issue>4</issue><spage>390</spage><pages>390-</pages><issn>2287-2728</issn><abstract>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. (Clin Mol Hepatol 2019;25:390-399)</abstract><pub>대한간학회</pub><tpages>10</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2287-2728 |
ispartof | Clinical and molecular hepatology, 2019-12, Vol.25 (4), p.390 |
issn | 2287-2728 |
language | kor |
recordid | cdi_kiss_primary_3739301 |
source | ProQuest One Community College; KoreaMed Synapse; KoreaMed Open Access; ProQuest Central (Alumni Edition); DOAJ Directory of Open Access Journals; ProQuest Central UK/Ireland; PubMed Central; Alma/SFX Local Collection; PubMed Central Open Access; ProQuest Central |
subjects | Computer-assisted Liver neoplasms Hepatitis B Risk assessment Hepatocellular carcinoma Radiographic image interpretation |
title | Risk assessment of hepatocellular carcinoma development for indeterminate hepatic nodules in patients with chronic hepatitis B |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T23%3A10%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-kiss&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Risk%20assessment%20of%20hepatocellular%20carcinoma%20development%20for%20indeterminate%20hepatic%20nodules%20in%20patients%20with%20chronic%20hepatitis%20B&rft.jtitle=Clinical%20and%20molecular%20hepatology&rft.au=Haneulsaem%20Shin&rft.date=2019-12-31&rft.volume=25&rft.issue=4&rft.spage=390&rft.pages=390-&rft.issn=2287-2728&rft_id=info:doi/&rft_dat=%3Ckiss%3E3739301%3C/kiss%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_kiss_id=3739301&rfr_iscdi=true |