Evidence map›Paper›PMID 40419367›Full record

ArticleZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2025

[Diagnosis and differential diagnosis of small hepatocellular carcinoma in the context of cirrhosis].

L Chen, S W Lu, T D Xiang, Y X Yu, W F Zhao

Abstract readEnglish Abstract
In one paragraph

Article in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

L ChenDepartment of Infectious Diseases, the First Affiliated Hospital of Soochow University, Suzhou 215006, China.
S W LuDepartment of Infectious Diseases, the First Affiliated Hospital of Soochow University, Suzhou 215006, China.
T D XiangDepartment of Infectious Diseases, the First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Y X YuDepartment of Medical Imaging, the First Affiliated Hospital of Soochow University, Suzhou 215006, China.
W F ZhaoDepartment of Infectious Diseases, the First Affiliated Hospital of Soochow University, Suzhou 215006, China.

Funding

Natural Science Foundation of China 82402602
6 · The paper itself

Abstract

In China, most patients with hepatocellular carcinoma (HCC) have progressed to the middle and advanced stages when they are diagnosed, so early-stage diagnosis is a significant key to improving the prognosis. Tumor diameter significantly correlates with the prognosis of patients with small hepatocellular carcinoma (sHCC), which is further classified as early-stage HCC (eHCC) and advanced HCC (pHCC). The "fast in and fast out" enhancement pattern is a typical feature of liver cancer imaging (CECT/CEMRI/CEUS); yet, eHCC with a diameter of <2 cm frequently exhibits hypovascularity. Hepatocyte-specific enhanced MRI (EOB-MRI) displays a unique hepatobiliary-specific phase (HBP) hypointensity, along with atypical manifestations such as lipid-containing nodules, T2 hyperintensity, and restricted diffusion. HBP is a functional radiographic imaging feature for cancerous nodules in cirrhosis. EOB-MRI can significantly increase the hypovascularity detection rate of eHCC in conjunction with serologic markers like alpha-fetoprotein. With a focus on the dynamic changes in hypovascular hypointense nodules in HBP (including diameter size, APHE, DWI, and other parameters), it is recommended that high-risk cirrhotic cohorts undergo routine monitoring (EOB-MRI follow-up every three months) to diagnose early-stage eHCC, based on the existing evidence-based medicine. This recommendation in clinical practice guidelines provides a crucial strategy that can markedly enhance patients' five-year survival rates.

Indexed as

Carcinoma, HepatocellularLiver CirrhosisLiver Neoplasmsalpha-FetoproteinsDiagnosis, DifferentialHumansMagnetic Resonance ImagingPrognosisalpha-Fetoproteins

Identifiers

PMID40419367
PMCPMC12899197

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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.