Liver volume-based prediction model stratifies risks for hepatocellular carcinoma in chronic hepatitis B patients on surveillance.

The aim of this study was to determine whether dynamic computed tomography (CT)-measured liver volume predicts the risk of hepatocellular carcinoma (HCC) when the CT scans do not reveal evidence of HCC in chronic hepatitis B (CHB) patients on surveillance.This retrospective multicentre cohort study...

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Main Authors: Chung Seop Lee, Yong Jin Jung, Soon Sun Kim, Jae Youn Cheong, Ga Ram Lee, Han Gyeol Kim, Beom Hee Kim, Jung Wha Chung, Eun Sun Jang, Sook-Hyang Jeong, Kyung Ho Lee, Jin-Wook Kim
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5749771?pdf=render
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spelling doaj-796af28c700e4075bb60290279fd8f442020-11-25T00:08:48ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01131e019026110.1371/journal.pone.0190261Liver volume-based prediction model stratifies risks for hepatocellular carcinoma in chronic hepatitis B patients on surveillance.Chung Seop LeeYong Jin JungSoon Sun KimJae Youn CheongGa Ram LeeHan Gyeol KimBeom Hee KimJung Wha ChungEun Sun JangSook-Hyang JeongKyung Ho LeeJin-Wook KimThe aim of this study was to determine whether dynamic computed tomography (CT)-measured liver volume predicts the risk of hepatocellular carcinoma (HCC) when the CT scans do not reveal evidence of HCC in chronic hepatitis B (CHB) patients on surveillance.This retrospective multicentre cohort study included 1,246 patients who received entecavir and regular HCC surveillance in three tertiary referral centres in South Korea. Liver volumes were measured on portal venous phase CT images. A nomogram was developed based on Cox independent predictors and externally validated. Time-dependent receiver operating characteristic (ROC) analysis was performed for comparison with previous prediction models.Patients who received dynamic CT studies during surveillance had significantly higher risk for HCC compared to patients without CT studies (hazard ratio [HR] = 3.1; p < 0.001). Expected/measured liver volume ratio was an independent predictor of HCC (HR = 4.2; p = 0.002) in addition to age, sex and cirrhosis. The nomogram based on the four predictors discriminated risks for HCC (HR = 4.1 and 6.0 in derivation and validation cohort, respectively, for volume score > 150; p < 0.001). Time-dependent ROC analysis confirmed better performance of the volume score compared to HCC prediction models with conventional predictors (integrated area under curve = 0.758 vs. 0.661-0.712; p < 0.05).CT-measured liver volume is an independent predictor of future HCC, and nomogram-based liver volume score may stratify the risks of HCC in CHB patients who showed negative CT findings for HCC during surveillance.http://europepmc.org/articles/PMC5749771?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Chung Seop Lee
Yong Jin Jung
Soon Sun Kim
Jae Youn Cheong
Ga Ram Lee
Han Gyeol Kim
Beom Hee Kim
Jung Wha Chung
Eun Sun Jang
Sook-Hyang Jeong
Kyung Ho Lee
Jin-Wook Kim
spellingShingle Chung Seop Lee
Yong Jin Jung
Soon Sun Kim
Jae Youn Cheong
Ga Ram Lee
Han Gyeol Kim
Beom Hee Kim
Jung Wha Chung
Eun Sun Jang
Sook-Hyang Jeong
Kyung Ho Lee
Jin-Wook Kim
Liver volume-based prediction model stratifies risks for hepatocellular carcinoma in chronic hepatitis B patients on surveillance.
PLoS ONE
author_facet Chung Seop Lee
Yong Jin Jung
Soon Sun Kim
Jae Youn Cheong
Ga Ram Lee
Han Gyeol Kim
Beom Hee Kim
Jung Wha Chung
Eun Sun Jang
Sook-Hyang Jeong
Kyung Ho Lee
Jin-Wook Kim
author_sort Chung Seop Lee
title Liver volume-based prediction model stratifies risks for hepatocellular carcinoma in chronic hepatitis B patients on surveillance.
title_short Liver volume-based prediction model stratifies risks for hepatocellular carcinoma in chronic hepatitis B patients on surveillance.
title_full Liver volume-based prediction model stratifies risks for hepatocellular carcinoma in chronic hepatitis B patients on surveillance.
title_fullStr Liver volume-based prediction model stratifies risks for hepatocellular carcinoma in chronic hepatitis B patients on surveillance.
title_full_unstemmed Liver volume-based prediction model stratifies risks for hepatocellular carcinoma in chronic hepatitis B patients on surveillance.
title_sort liver volume-based prediction model stratifies risks for hepatocellular carcinoma in chronic hepatitis b patients on surveillance.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2018-01-01
description The aim of this study was to determine whether dynamic computed tomography (CT)-measured liver volume predicts the risk of hepatocellular carcinoma (HCC) when the CT scans do not reveal evidence of HCC in chronic hepatitis B (CHB) patients on surveillance.This retrospective multicentre cohort study included 1,246 patients who received entecavir and regular HCC surveillance in three tertiary referral centres in South Korea. Liver volumes were measured on portal venous phase CT images. A nomogram was developed based on Cox independent predictors and externally validated. Time-dependent receiver operating characteristic (ROC) analysis was performed for comparison with previous prediction models.Patients who received dynamic CT studies during surveillance had significantly higher risk for HCC compared to patients without CT studies (hazard ratio [HR] = 3.1; p < 0.001). Expected/measured liver volume ratio was an independent predictor of HCC (HR = 4.2; p = 0.002) in addition to age, sex and cirrhosis. The nomogram based on the four predictors discriminated risks for HCC (HR = 4.1 and 6.0 in derivation and validation cohort, respectively, for volume score > 150; p < 0.001). Time-dependent ROC analysis confirmed better performance of the volume score compared to HCC prediction models with conventional predictors (integrated area under curve = 0.758 vs. 0.661-0.712; p < 0.05).CT-measured liver volume is an independent predictor of future HCC, and nomogram-based liver volume score may stratify the risks of HCC in CHB patients who showed negative CT findings for HCC during surveillance.
url http://europepmc.org/articles/PMC5749771?pdf=render
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