Evidence map›Paper›PMID 30260529›Full record

ArticleJournal of magnetic resonance imaging : JMRI2019

3D MR Elastography of Hepatocellular Carcinomas as a Potential Biomarker for Predicting Tumor Recurrence.

Jin Wang, Qungang Shan, Yong Liu, Hao Yang, Sichi Kuang, Bingjun He, Yao Zhang, Jingbiao Chen, Tianhui Zhang, Kevin J Glaser and 5 more

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.6field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 82 citations in OpenAlex.

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  4. [Research advances of magnetic resonance elastography for assessing the bioinvasiveness in hepatocellular carcinoma].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
    Review
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  10. Diffusion-based virtual MR elastography for predicting recurrence of solitary hepatocellular carcinoma after hepatectomy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 2 countries.

Jin WangDepartment of Radiology, Sun Yat-Sen University (SYSU), Guangzhou, Guangdong, P.R. China.
Qungang ShanDepartment of Radiology, Sun Yat-Sen University (SYSU), Guangzhou, Guangdong, P.R. China.
Yong LiuDepartment of Pathology, Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Guangzhou, Guangdong, P.R. China.
Hao YangDepartment of Radiology, Sun Yat-Sen University (SYSU), Guangzhou, Guangdong, P.R. China.
Sichi KuangDepartment of Radiology, Sun Yat-Sen University (SYSU), Guangzhou, Guangdong, P.R. China.
Bingjun HeDepartment of Radiology, Sun Yat-Sen University (SYSU), Guangzhou, Guangdong, P.R. China.
Yao ZhangDepartment of Radiology, Sun Yat-Sen University (SYSU), Guangzhou, Guangdong, P.R. China.
Jingbiao ChenDepartment of Radiology, Sun Yat-Sen University (SYSU), Guangzhou, Guangdong, P.R. China.
Tianhui ZhangDepartment of Radiology, Sun Yat-Sen University (SYSU), Guangzhou, Guangdong, P.R. China.
Kevin J GlaserDepartment of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Cairong ZhuDepartment of Epidemiology and Biostatistics, West China School of Public Health Sichuan University, Chengdu, P.R. China.
Jun ChenDepartment of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Meng YinDepartment of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Sudhakar K VenkateshDepartment of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Richard L EhmanDepartment of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Sun Yat-sen University · CNMayo Clinic · USSichuan University · CN

Funding

Comprehensive noninvasive assessment of liver histopathology in nonalcoholic fatty liver disease (NAFLD) via magnetic resonance imaging, cytometry and elastography (MR-ICE)R01EB017197 · NIBIB · MAYO CLINIC ROCHESTER · PI YIN, MENG · 2014 to 2025
$4.3M
Magnetic Resonance ElastographyR37EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2016 to 2025
$4.0M
Magnetic Resonance ElastographyR01EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2003 to 2013
$3.1M
NIBIB NIH HHS R01 EB001981NIBIB NIH HHS R01 EB017197NIBIB NIH HHS R37 EB001981
6 · The paper itself

Abstract

backgroundPreoperative prediction of tumor recurrence is important in the management of patients with hepatocellular carcinoma (HCC). PURPOSE: To investigate whether tumor stiffness derived by magnetic resonance elastography (MRE) could predict early recurrence of HCC after hepatic resection. STUDY TYPE: Retrospective. POPULATION: In all, 99 patients with pathologically confirmed HCCs after surgical resection. FIELD STRENGTH/SEQUENCE: 3.0T; preoperative MRE with 60-Hz mechanical vibrations using an active acoustic driver. ASSESSMENT: Regions of interest (ROIs) were manually drawn in the tumors to measure mean tumor stiffness. Surgical specimens were reviewed for histological grade, capsule, vascular invasion, and surgical margins. The early recurrence of HCC was defined as that occurring within 2 years after resection. STATISTICAL TESTS: Cox proportional hazard models were used to evaluate risk factors associated with the time to early recurrence.

resultsHCCs with recurrence had higher tumor stiffness, higher rate of advanced T stage, vascular invasion, lower rate of capsule formation, larger tumor size, higher aspartate aminotransferase (AST), and hepatitis B virus (HBV)-DNA level and aspartate aminotransferase / alanine aminotransferase ratio (P = 0.031, 0.007, 0.01, <0.001, 0.015, 0.034, 0.01, and 0.014, respectively) than HCCs without recurrence. Vascular invasion (hazard ratio [HR] = 2.922; 95% confidence interval [CI]: [1.079, 7.914], P = 0.035) and mean tumor stiffness (HR = 1.163; 95% CI: [1.055, 1.282], P = 0.002) were risk factors associated with early recurrence. Each 1-kPa increase in tumor stiffness was associated with a 16.3% increase in the risk for tumor recurrence. DATA

conclusionThe mean stiffness of HCCs may be a useful, noninvasive, quantitative biomarker for the prediction of early HCC recurrence after hepatic resection. LEVEL OF EVIDENCE: 4 Technical Efficacy: Stage 5 J. Magn. Reson. Imaging 2019;49:719-730.

Indexed as

Elasticity Imaging TechniquesImaging, Three-DimensionalMagnetic Resonance ImagingNeoplasm Recurrence, LocalAdultAgedBiomarkersCarcinoma, HepatocellularFemaleHepatectomyHumansLiver NeoplasmsMaleMiddle AgedNeoplasm StagingPrognosisBiomarkershepatocellular carcinomahistological graderecurrencetumor capsuletumor stiffness

Identifiers

PMID30260529
PMCPMC6731763
OpenAlexW2890611413

What OpenQuestion holds

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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 OpenQuestion graph.