Evidence map›Paper›PMID 40506638›Full record

ArticleEuropean radiology2025

MR elastography-based prediction of development of hepatocellular carcinoma in patients with chronic hepatitis B with sustained virological response.

Haimei Chen, Jie Zhu, Jinhui Zhou, Ziying Yin, Jun Chen, Sudhakar K Venkatesh, Meng Yin, Richard L Ehman, Jin Wang

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Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Haimei Chen *Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Guangzhou, People's Republic of China.
Jie Zhu *Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Guangzhou, People's Republic of China.
Jinhui Zhou *Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Guangzhou, People's Republic of China.
Ziying YinDepartment of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN, USA.
Jun ChenDepartment of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN, USA.
Sudhakar K VenkateshDepartment of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN, USA.
Meng YinDepartment of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN, USA.
Richard L EhmanDepartment of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN, USA.
Jin WangDepartment of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Guangzhou, People's Republic of China. wangjin3@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-6424-8254

Funding

China International Medical Foundation SKY Research Fund for Medical Imaging Z-2014-07-2101 and Z-2014-07-1912-15Clinical Research Foundation of the 3rd Affiliated Hospital of Sun Yat-Sen University YHJH201901Guangdong Basic and Applied Research Foundation 2021A1515010582Guangzhou Basic Research Programme, City-Institute Joint Funding Project 2024A03J0283Guangzhou Municipal Health Commission Clinical Speciality Technology 2023P-TS47Innovative Research Group Project of the National Natural Science Foundation of China 82271973 and 91959118Key Research and Development Program of Guangdong Province 2019B020235002The 'Five Five' Project of the Third Affiliated Hospital of Sun Yat-sen University 2023WW103
6 · The paper itself

Abstract

objectivesThe goal of this study was to develop a risk score based on MR elastography (MRE) to predict hepatocellular carcinoma (HCC) development in patients with chronic hepatitis B (CHB). MATERIALS AND

methodsA total of 345 patients with CHB who underwent 2D/3D MRE between July 2015 and December 2018 were enrolled and then randomly assigned to training (n = 243) and validation (n = 102) cohorts. An MRE-based HCC risk score was developed for the prediction of HCC development based on a multivariable Cox model and compared with previous clinical scores. The predictive performance was evaluated using the C-index and time-dependent ROC.

resultsThe 2D/3D MRE-based risk scores incorporating age, platelet count, albumin, and liver stiffness provided better predictive performance in HCC development than three existing clinical risk scores [CAMD (cirrhosis, age, male sex, and diabetes mellitus), PAGE-B (platelet age gender-B), and mPAGE-B (modified platelets, age, gender-hepatitis B)] in the training (C-index: 0.859 and 0.872, respectively, vs 0.762, 0.754 and 0.818, all p value < 0.05) and validation cohorts (C-index: 0.878 and 0.887, respectively, vs 0.815, 0.709 and 0.810, all p value < 0.05). The 2D and 3D MRE-based risk scores provided high negative predictive values in the training and validation cohorts at 3 years (97.8-100.0%) and 5 years (94.6-100.0%) with the two optimal cut-off values of 43.2 and 69.2, respectively, and 56.5 and 71.6, respectively.

conclusionsBoth 2D and 3D MRE-based risk scores may serve as a valuable tool for predication of HCC development for CHB patients and provided superior predictive performance compared to existing clinical scores. KEY POINTS: Question Can MRE be a useful component of a risk score to predict HCC development in CHB patients with sustained virological response? Findings 2D/3D MRE-based stiffness values were independent predictors for HCC development, and the 2D/3D MRE-based risk scores demonstrated better performance than three existing clinical risk scores. Clinical relevance The 2D/3D MRE-based risk scores provide high negative predictive values for HCC development, which may become a noninvasive tool for clinicians to stratify CHB patients for HCC surveillance and to improve early HCC detection and reduce mortality.

Indexed as

Carcinoma, HepatocellularElasticity Imaging TechniquesHepatitis B, ChronicLiver NeoplasmsMagnetic Resonance ImagingAdultAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk AssessmentRisk FactorsSustained Virologic ResponseChronic hepatitis BHepatocellular carcinomaLiver stiffnessMagnetic resonance elastographyRisk score

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.