Evidence map›Paper›PMID 39150545›Full record

ArticleAbdominal radiology (New York)2025

Evaluation of combined hepatocellular-cholangiocarcinoma using CEUS LI-RADS: correlation with pathological characteristics.

Jingwen Bao, Zehua Nie, Quanwen Wang, Yanling Chen, Kun Wang, Xinjiang Liu

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Article in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
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4 · The record

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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

6 authors.

Jingwen BaoHexi University, Zhangye, China.
Zehua NieHexi University, Zhangye, China.
Quanwen WangHexi University, Zhangye, China.
Yanling ChenFirst Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Kun WangBinzhou Medical College Hospital, Binzhou, China. 308684032@qq.com.
Xinjiang LiuPudong Hospital, Fudan University, shanghai, China. lxj6513@163.com.

Funding

Hexi University President's Fund for Young Research Projects QN2023002The Pudong New District Key Weak Discipline Project PWZbr2022-16
6 · The paper itself

Abstract

objectiveTo explore the factors that influence the contrast-enhanced ultrasound (CEUS) Liver Imaging Reporting and Data System (LI-RADS) classification of combined hepatocellular-cholangiocarcinoma (cHCC-ICC).

methodsBetween September 2014 to July 2020, the CEUS features of 58 patients with pathologically confirmed cHCC-ICC were retrospectively evaluated and assigned according to the CEUS LI-RADS (version 2017). The pathological characteristics of nodules categorizing as different CEUS LI-RADS categories were compared. Multivariate logistic regression analysis was conducted to explore potential factors that may influence the CEUS LI-RADS classification of cHCC-ICC.

resultsAccording to CEUS LI-RADS, 32.8% (19/58), 63.8% (37/58), and 3.4% (2/58) were categorized as LR-5, LR-M, and LR-TIV, respectively. There was significant difference between the LR-M and LR-5 groups with regard to the pathological grade, nodule size, and HCC/ICC-component ratio of cHCC-ICC. Multivariate logistic regression analysis identified tumor size and the relative proportions of hepatocellular carcinomas (HCC) and intrahepatic cholangiocarcinomas (ICC) components as the independent influencing factors.

conclusionTumor size and the relative proportion of HCC and ICC components within the nodule had a significant impact on the CEUS LI-RADS classification of cHCC-ICC.

Indexed as

Bile Duct NeoplasmsCarcinoma, HepatocellularCholangiocarcinomaContrast MediaImage EnhancementLiver NeoplasmsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRadiology Information SystemsRetrospective StudiesUltrasonographyContrast MediaCombined hepatocellular-cholangiocarcinomaContrast-enhanced ultrasoundInfluencing factorsLiver imaging reporting and data system

Identifiers

PMID39150545

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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.