Evidence map›Paper›PMID 37817756›Full record

ArticleLiver cancer2023

Contrast-Enhanced Ultrasound Liver Imaging Reporting and Data System in Hepatocellular Carcinoma ≤5 cm: Biological Characteristics and Patient Outcomes.

Wen-Jia Cai, Minghua Ying, Rong-Qin Zheng, Jintang Liao, Baoming Luo, Lina Tang, Wen Cheng, Hong Yang, An Wei, Yilin Yang and 7 more

Open access · goldAbstract read
In one paragraph

Article in Liver cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

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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

17 authors at 12 institutions in 1 country.

Wen-Jia CaiDepartment of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, China.
Minghua YingDepartment of Diagnostic Ultrasound, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
Rong-Qin ZhengDepartment of Medical Ultrasound, Guangdong Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jintang LiaoDepartment of Diagnostic Ultrasound, Xiangya Hospital Central South University, Changsha, China.
Baoming LuoDepartment of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Lina TangDepartment of Diagnostic Ultrasound, Fujian Cancer Hospital and Fujian Medical University Cancer Hospital, Fuzhou, China.
Wen ChengDepartment of Ultrasound, Harbin Medical University Cancer Hospital, Harbin, China.
Hong YangDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
An WeiDepartment of Interventional Ultrasound, Hunan Provincial People's Hospital, Changsha, China.
Yilin YangDepartment of Ultrasound Diagnosis, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
Hui WangDepartment of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, China.
Yan-Chun LuoDepartment of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, China.
Cun LiuDepartment of Ultrasound, Jinan Central, Hospital Affiliated to Shandong First Medical University, Jinan, China.
Hui ZhongDepartment of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.
Qi YangDepartment of Medical Ultrasound, Peking University Shenzhen Hospital, Shenzhen, China.
Jie YuDepartment of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, China.
Ping LiangDepartment of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, China.
Chinese PLA General Hospital · CNSun Yat-sen University · CNAir Force Medical University · CNCentral South University · CNFujian Medical University · CNGuangxi Medical University · CNHarbin Medical University · CNHunan Provincial People's Hospital · CNJinan Central Hospital · CNPeking University Shenzhen Hospital · CNUnion Hospital · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The present study aimed to evaluate the influence of biological characteristics of hepatocellular carcinoma (HCC) on the Liver Imaging Reporting and Data System (LI-RADS) v2017 category of contrast-enhanced ultrasound (CEUS) in patients with high risk and compare the outcomes among different categories after radical resection. Methods: Between June 2017 and December 2020, standardized CEUS data of liver nodules were prospectively collected from multiple centers across China. We conducted a retrospective analysis of the prospectively collected data on HCCs measuring no more than 5 cm, as diagnosed by pathology. LI-RADS categories were assigned after thorough evaluation of CEUS features. Then, CEUS LI-RADS categories and major features were compared in different differentiation, Ki-67, and microvascular invasion (MVI) statuses. Differences in recurrence-free survival (RFS) among different LI-RADS categories were further analyzed. Results: A total of 293 HCC nodules in 293 patients were included. This study revealed significant differences in the CEUS LI-RADS category of HCCs among differentiation ( Conclusions: Biological characteristics of HCC, including differentiation and level of Ki-67 expression, could influence major features of CEUS and impact the CEUS LI-RADS category. HCCs in different CEUS LI-RADS categories showed no significant differences in RFS after resection.

Indexed as

Contrast-enhanced ultrasoundHepatocellular carcinomaKi-67Liver imaging reporting and data systemPrognosis

Identifiers

PMID37817756
PMCPMC10561321
OpenAlexW4317861138

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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.