Evidence map›Paper›PMID 35243749›Full record

ArticleLiver international : official journal of the International Association for the Study of the Liver2022

Predicting microvascular invasion in hepatocellular carcinoma: A dual-institution study on gadoxetate disodium-enhanced MRI.

Hanyu Jiang, Jingwei Wei, Fangfang Fu, Hong Wei, Yun Qin, Ting Duan, Weixia Chen, Kunlin Xie, Jeong Min Lee, Mustafa R Bashir and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Liver international : official journal of the International Association for the Study of the Liver, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
9.1field-weighted citation impact, top 1% 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

43 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
  2. Temporal Differentiation of Nonperipheral Washout Refines Prognostic Stratification in HCC.Liver international : official journal of the International Association for the Study of the Liver · 2026
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  13. MRI Imaging Biomarkers for Prognostication of Hepatocellular Carcinoma.Journal of the Korean Society of Radiology · 2025
    Review
  14. Review
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  16. MRI-Based Topology Deep Learning Model for Noninvasive Prediction of Microvascular Invasion and Assisting Prognostic Stratification in HCC.Liver international : official journal of the International Association for the Study of the Liver · 2025
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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

13 authors at 6 institutions in 3 countries.

Hanyu JiangDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0002-7726-1618
Jingwei WeiKey Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Fangfang FuDepartment of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, China.
Hong WeiDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yun QinDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Ting DuanDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Weixia ChenDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Kunlin XieDepartment of Liver Surgery & Liver Transplantation, West China Hospital, Sichuan University, Chengdu, China.
Jeong Min LeeDepartment of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, South Korea.
Mustafa R BashirDepartment of Radiology, Duke University Medical Center, Durham, North Carolina, USA.
Meiyun WangDepartment of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, China.
Bin SongDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Jie TianKey Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0003-0498-0432
Sichuan University · CNZhengzhou University · CNChinese Academy of Sciences · CNDuke University · USSeoul National University Hospital · KRXidian University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsMicrovascular invasion (MVI) is an important risk factor in hepatocellular carcinoma (HCC), but its diagnosis mandates postoperative histopathologic analysis. We aimed to develop and externally validate a predictive scoring system for MVI.

methodsFrom July 2015 to November 2020, consecutive patients underwent surgery for HCC with preoperative gadoxetate disodium (EOB)-enhanced MRI was retrospectively enrolled. All MR images were reviewed independently by two radiologists who were blinded to the outcomes. In the training centre, a radio-clinical MVI score was developed via logistic regression analysis against pathology. In the testing centre, areas under the receiver operating curve (AUCs) of the MVI score and other previous MVI schemes were compared. Overall survival (OS) and recurrence-free survival (RFS) were analysed by the Kaplan-Meier method with the log-rank test.

resultsA total of 417 patients were included, 195 (47%) with pathologically-confirmed MVI. The MVI score included: non-smooth tumour margin (odds ratio [OR] = 4.4), marked diffusion restriction (OR = 3.0), internal artery (OR = 3.0), hepatobiliary phase peritumoral hypointensity (OR = 2.5), tumour multifocality (OR = 1.6), and serum alpha-fetoprotein >400 ng/mL (OR = 2.5). AUCs for the MVI score were 0.879 (training) and 0.800 (testing), significantly higher than those for other MVI schemes (testing AUCs: 0.648-0.684). Patients with model-predicted MVI had significantly shorter OS (median 61.0 months vs not reached, P < .001) and RFS (median 13.0 months vs. 42.0 months, P < .001) than those without.

conclusionsA preoperative MVI score integrating five EOB-MRI features and serum alpha-fetoprotein level could accurately predict MVI and postoperative survival in HCC. Therefore, this score may aid in individualized treatment decision making.

Indexed as

Carcinoma, HepatocellularLiver Neoplasmsalpha-FetoproteinsContrast MediaGadolinium DTPAHumansMagnetic Resonance ImagingNeoplasm InvasivenessRetrospective Studiesalpha-FetoproteinsContrast MediaGadolinium DTPAgadolinium ethoxybenzyl DTPAdiagnosisgadoxetate disodium-enhanced MRIhepatocellular carcinomamicrovascular invasionsurvival

Identifiers

PMID35243749
PMCPMC9314889
OpenAlexW4214901297

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.