Evidence map›Paper›PMID 41049156›Full record

ArticleJournal of hepatocellular carcinoma2025

CT Radiomics Combined with Metabolic-Biomarkers Enables Early Recurrence Prediction in Hepatocellular Carcinoma.

Liying Ren, Dongbo Chen, Tingfeng Xu, Rongyu Wei, Bigeng Zhao, Yuanping Zhou, Yong He, Minjun Liao, Hongsong Chen, Weijia Liao

Abstract read
In one paragraph

Article in Journal of hepatocellular carcinoma, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Review
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

10 authors.

Liying Ren *Laboratory of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, People's Republic of China.ORCID 0000-0003-3624-5483
Dongbo Chen *Peking University Hepatology Institute, Peking University People's Hospital, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Disease, Beijing, People's Republic of China.
Tingfeng Xu *Affiliation Department of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China.ORCID 0000-0003-0303-5471
Rongyu WeiLaboratory of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, People's Republic of China.
Bigeng ZhaoLaboratory of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, People's Republic of China.
Yuanping ZhouGuangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.ORCID 0000-0002-2493-396X
Yong HeDepartment of Radiology, the Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, People's Republic of China.
Minjun LiaoPeking University Hepatology Institute, Peking University People's Hospital, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Disease, Beijing, People's Republic of China.
Hongsong ChenPeking University Hepatology Institute, Peking University People's Hospital, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Disease, Beijing, People's Republic of China.ORCID 0000-0002-2084-8653
Weijia LiaoLaboratory of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, People's Republic of China.ORCID 0000-0002-8906-8612

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prognosis of early recurrence of hepatocellular carcinoma (HCC) remains poor. This study aimed to develop and validate a radiomics model and determine potential biomarkers involved in biological pathways for early recurrence of HCC. Methods: A total of 271 HCC patients from the First Affiliated Hospital of Guilin Medical University were enrolled as the training cohort. Recurrence related radiomics features were determined by analyzing contrast-enhanced CT images, which were used for the construction of Rad-score. For external validation, we utilized both imaging and transcriptome data from 34 HCC patients in TCGA database. The identified radiomics-related genes were further validated using two independent datasets (OEP000321 and GSE14520) and immunohistochemical analysis of EEF1E1 in 38 HCC tissue samples from training cohort. Results: Rad-scores based on six radiomics features showed predictive value for early HCC recurrence in both cohorts ( Conclusion: Rad-score and radiomics gene signatures from enhanced CT effectively predicted early recurrence in HCC, while EEF1E1 might serve as an efficient biomarker for early recurrence prediction for hepatocellular carcinoma.

Indexed as

contrast-enhanced CTearly recurrenceEEF1E1hepatocellular carcinomaradiomics

Identifiers

PMID41049156
PMCPMC12493903

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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.