Evidence map›Paper›PMID 40384665›Full record

ArticleQuantitative imaging in medicine and surgery2025

Global trends and developments in pulmonary magnetic resonance imaging research: a bibliometric analysis of the past decade.

Ting Wu, Linyu Wu, Yufan Chen, Jun Wu, Chen Gao, Maosheng Xu

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 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
–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

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

6 authors.

Ting Wu *Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.
Linyu Wu *Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.
Yufan ChenDepartment of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.
Jun WuDepartment of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.
Chen GaoDepartment of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.
Maosheng XuDepartment of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary magnetic resonance imaging (MRI) has the advantage of nonionizing radiation and multiparameter imaging of structure and function, facilitating its clinical use in a variety of pulmonary diseases. This study aimed to identify the research trends and emerging topics in pulmonary MRI by conducting a comprehensive bibliometric analysis of the field over the past decade. Methods: A search of the Web of Science Core Collection database was conducted with the words "lung" and "MRI" for literature published from 2014 to 2023. The data were further analyzed with R and CiteSpace software in terms of annual publications and citations, collaborative networks (countries, institutions, and authors), source's local impact, keyword clustering, and burst analysis. Results: A total of 1,839 publications related to pulmonary MRI have been published over the last decade, with a relatively slow growth trend. The top three journals in terms of total publications and citations were Conclusions: Over the past decade, research trends in pulmonary MRI have focused on lung cancer and cystic fibrosis as the dominant clinical diseases. Research has been centered on standardizing pulmonary MRI to promote its clinical application.

Indexed as

bibliometricslung diseasesmagnetic resonance imaging (MRI)Pulmonary

Identifiers

PMID40384665
PMCPMC12082580

What OpenQuestion holds

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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.