Evidence map›Paper›PMID 39422727›Full record

ArticleEuropean radiology2025

Exploring the changing landscape of medical imaging: insights from highly cited studies before and during the COVID-19 pandemic.

Peiling Ou, Ru Wen, Lihua Deng, Linfeng Shi, Hongqin Liang, Jian Wang, Chen Liu

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Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

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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

7 authors.

Peiling Ou *7T Magnetic Resonance Imaging Translational Medical Center, Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Ru Wen *7T Magnetic Resonance Imaging Translational Medical Center, Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Lihua Deng *7T Magnetic Resonance Imaging Translational Medical Center, Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Linfeng Shi *7T Magnetic Resonance Imaging Translational Medical Center, Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Hongqin Liang7T Magnetic Resonance Imaging Translational Medical Center, Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China. modi2014@163.com.
Jian Wang7T Magnetic Resonance Imaging Translational Medical Center, Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China. wangjian_811@yahoo.com.
Chen Liu7T Magnetic Resonance Imaging Translational Medical Center, Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China. liuchen@aifmri.com.ORCID http://orcid.org/0000-0001-5149-2496

Funding

Excellent Young Talent Fund of the First Affiliated Hospital of the Army Medical University 2024YQBJ-2National Natural Science Foundation of China 81601478National Natural Science Foundation of China 82071910Senior Medical Talents Program of Chongqing for Young and Middle-aged 414Z395
6 · The paper itself

Abstract

objectivesTo investigate whether and how the COVID-19 pandemic has changed medical imaging trends by synthesizing the highly cited studies before and during the pandemic.

methodsIn this cross-sectional study, we identified highly cited studies on medical imaging from the essential science indicators (ESI) database, categorizing them into two periods: before the pandemic (January 2016-December 2019) and during the pandemic (January 2020-December 2023). We conducted a global research landscape comparative analysis and utilized CiteSpace and VOSviewer software to create knowledge maps for analyzing the co-occurrences of keywords and references in this field.

resultsA total of 2914 highly cited studies were included in this study, which revealed a notable 30.1% increase in medical imaging publications during the pandemic. Enhanced international cooperation has been observed, with European countries and the US leading the research efforts. Keyword analysis revealed that artificial intelligence (AI) has remained a dominant hotspot in medical imaging research before and during the pandemic. References analysis showed a shift in focus towards COVID-19-related studies, overshadowing some important areas including cancer imaging, cardiac imaging, and neuroimaging.

conclusionsOver the past four years, the COVID-19 pandemic has led to changes in the research output, international collaborations, and hotspots within highly cited medical imaging studies. Navigating the post-COVID era, it is imperative to continue fostering international collaboration, prioritize resource allocation to refocus on overlooked research areas, and develop long-term strategic plans to prepare for and mitigate the impact of future public health crises. KEY POINTS: Question Understanding how the COVID-19 pandemic has changed medical imaging trends and priorities, which is crucial for preparing against future public health crises, remains unclear. Findings The COVID-19 pandemic has led to increases in highly cited medical imaging studies, enhancements in international collaborations, and shifts in research hotspots. Clinical relevance This study provides a comprehensive overview of highly cited studies on medical imaging before and during the pandemic, highlighting the pivotal role of AI in the post-COVID era and emphasizing the need to refocus on potentially neglected research areas.

Indexed as

COVID-19Diagnostic ImagingBibliometricsCross-Sectional StudiesHumansPandemicsSARS-CoV-2BibliometricsCiteSpaceCOVID-19RadiologyTreads

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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.