Evidence map›Paper›PMID 41430334›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2025

Global trends and academic landscapes of ultrasound applications in lung cancer research: a bibliometric analysis (2000-2024).

Qiang Huang, Wenmei Su, Shujun Li, Yongcun Wang, Yanming Lin, Zhen Cheng, Yanli Mo

Abstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Qiang HuangDepartment of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, China.
Wenmei SuDepartment of Pulmonary Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, China.
Shujun LiDepartment of Pulmonary Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, China.
Yongcun WangDepartment of Pulmonary Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, China.
Yanming LinDepartment of Pulmonary Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, China.
Zhen ChengDepartment of Pulmonary Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, China.
Yanli MoDepartment of Pulmonary Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, China. 1092548315@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to systematically evaluate the global distribution, academic impact, and technological trends of ultrasound technology in lung cancer research from 2000 to 2024 through bibliometric analysis, providing references for future research directions. MATERIALS AND

methodsBased on the Web of Science Core Collection database, 2,617 publications from 2000 to 2024 were included. Bibliometric analysis was conducted using VOSviewer and CiteSpace, covering publication trends, countries, institutions, authors, journals, highly cited literature, and keyword co-occurrence networks. Metrics such as publication volume, citation count, and total link strength (TLS) were quantitatively assessed.

resultsFrom 2000 to 2024, the annual number of publications on ultrasound in lung cancer diagnosis and treatment surged from 19 to 218, with the last five years accounting for 38% of the total, indicating a continuous increase in research activity. The United States (554 publications) and China (387 publications) contributed 48% of the global output. The U.S. led in total citations (24,413), while Germany demonstrated superior research quality with an average of 57 citations per publication. Chiba University (Japan, 48 publications), the National Cancer Center Japan, and Shanghai Jiao Tong University School of Medicine (each with 46 publications) were the most productive institutions. The international collaboration network formed a multi-center cluster with the U.S. as the core. Japanese scholar Kazuhiro Yasufuku (56 publications/3,320 citations) had the highest influence, and highly cited authors generally relied on strong international collaborations (TLS ≥ 76). Chest (86 publications/10,664 citations) was the most influential core journal in the field. Citation analysis revealed that endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) technology and lung cancer staging guidelines (highest cited: 225 times) were key research focuses. Keyword clustering identified four major research directions: bronchoscopic diagnosis, minimally invasive biopsy, comprehensive treatment, and imaging staging. Burst detection highlighted emerging hotspots such as "safety" (strength = 15.13), "yield" (17.91), "peripheral pulmonary lesions" (12.98), and "radial endobronchial ultrasound" (12.72), indicating a shift from traditional diagnosis toward efficiency quantification, precision navigation (e.g., radial ultrasound), and intelligent analysis.

conclusionFrom 2000 to 2024, the academic influence of ultrasound in lung cancer research significantly increased, with research hotspots evolving from technical standardization to precise staging and multimodal applications. The integration of AI and multimodal technology represents a core future direction.

Indexed as

BibliometricsBiomedical ResearchLung NeoplasmsHumansUltrasonography

Identifiers

PMID41430334
PMCPMC12720442

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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.