Global research trends in COVID-19 with MRI and PET/CT: a scoping review with bibliometric and network analyses

Rivera-Sotelo, Nathaly; Vargas-Del-Angel, Raul-Gabriel; Ternovoy, S. K.; Roldan-Valadez, Ernesto

doi:10.1007/s40336-021-00460-x

Cited by 9 publications

(8 citation statements)

References 101 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This could be due to the fact that these countries are the leading contributors to scientific research [ 57 ]. Additionally, they are the most productive of most bibliometric analyses [ [58] , [59] , [60] ].…”

Section: Discussionmentioning

confidence: 99%

Medical magnetic resonance imaging publications in Arab countries: A 25-year bibliometric analysis

Albadayneh,

Alrawashdeh,

Obeidat

et al. 2024

Heliyon

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Medical magnetic resonance imaging publications in Arab countries: A 25-year bibliometric analysis

Albadayneh,

Alrawashdeh,

Obeidat

et al. 2024

Heliyon

View full text Add to dashboard Cite

“…A total of 4574 authors were identified in publications. Jun Liu was the most prolific author (23), followed by Liming Xia (21) and Ali Gholamrezanezhad (20). The leading 10 authors are listed in Supplementary Table 2 and a graph displaying the cooperation among them is provided in Supplementary Fig.…”

Section: Analysis Of Author Co-authorship Distributionmentioning

confidence: 99%

“…Bibliometrics-based research has also been conducted in the field of medical imaging, with computed tomography (CT) being found to have the highest association with COVID-19 and the most cited topic in medical imaging publications in 2020 [21,22]. Magnetic resonance imaging (MRI) and positron emission tomography (PET)-CT have been used to supplement the basic evaluation of patients with COVID-19 [23]. Furthermore, another study found that female first authors and corresponding authors were overrepresented in low-ranking journals [24].…”

Section: Introductionmentioning

confidence: 99%

COVID-19 imaging, where do we go from here? Bibliometric analysis of medical imaging in COVID-19

Wen

Zhang

et al. 2023

Eur Radiol

View full text Add to dashboard Cite

Objectives We conducted a systematic and comprehensive bibliometric analysis of COVID-19-related medical imaging to determine the current status and indicate possible future directions. Methods This research provides an analysis of Web of Science Core Collection (WoSCC) indexed articles on COVID-19 and medical imaging published between 1 January 2020 and 30 June 2022, using the search terms "COVID-19" and medical imaging terms (such as "X-ray" or "CT"). Publications based solely on COVID-19 themes or medical image themes were excluded. CiteSpace was used to identify the predominant topics and generate a visual map of countries, institutions, authors, and keyword networks. ResultsThe search included 4444 publications. The journal with the most publications was European Radiology, and the most co-cited journal was Radiology. China was the most frequently cited country in terms of co-authorship, with the Huazhong University of Science and Technology being the institution contributing with the highest number of relevant co-authorships. Research trends and leading topics included: assessment of initial COVID-19-related clinical imaging features, differential diagnosis using artificial intelligence (AI) technology and model interpretability, diagnosis systems construction, COVID-19 vaccination, complications, and predicting prognosis. Conclusions This bibliometric analysis of COVID-19-related medical imaging helps clarify the current research situation and developmental trends. Subsequent trends in COVID-19 imaging are likely to shift from lung structure to function, from lung tissue to other related organs, and from COVID-19 to the impact of COVID-19 on the diagnosis and treatment of other diseases. Key Points • We conducted a systematic and comprehensive bibliometric analysis of COVID-19-related medical imaging from 1 January 2020 to 30 June 2022. • Research trends and leading topics included assessment of initial COVID-19-related clinical imaging features, differential diagnosis using AI technology and model interpretability, diagnosis systems construction, COVID-19 vaccination, complications, and predicting prognosis. • Future trends in COVID-19-related imaging are likely to involve a shift from lung structure to function, from lung tissue to other related organs, and from COVID-19 to the impact of COVID-19 on the diagnosis and treatment of other diseases.

show abstract

“…As of October 1, 2021, a PubMed search using the terms "COVID-19" and "bibliometric" yielded 274 results, but there were little data on the impact of neuroscience articles. However, a scoping review of the top 15 cited articles on COVID-19 MRI and positron emission tomography/ computed tomography research through April 2021 included 11 articles about imaging of the nervous system; these articles were cited 43-669 times, with the most citations for a case report from Japan published in the International Journal of Infectious Diseases (impact factor 3.6) in May 2020 about a comatose man with hyperintense lesions in the temporal lobe who had a negative nasopharyngeal SARS-CoV-2 polymerase chain reaction (PCR) test but a positive cerebrospinal fluid SARS-CoV-2 PCR test (with a cycle threshold of 36.44) (24,25).…”

Section: Impactmentioning

confidence: 99%

Strengths and Weaknesses of the Research Enterprise During the Pandemic

Lewis¹

2021

Journal of Neuro-Ophthalmology

View full text Add to dashboard Cite

W hen the world's attention was first captured by COVID-19, clinicians, policymakers, and society had innumerable questions and an urgent need for answers. There was a time-sensitive demand for fast-paced research to reduce transmission, morbidity, and mortality; improve diagnosis, treatment, and prognostication; and determine public policy/health measures. Furthermore, rapid dissemination of results could provide support for other research and reduce duplication of efforts. However, the importance of timeliness needed to be superseded by accuracy, objectivity, and integrity of the publication process to avoid transmission of misinformation, confusion for both the scientific and public communities, and unsubstantiated changes to public policy/health measures resulting in mistrust. Ideally, in the setting of a new crisis, the international scientific community should aim for papers to be based on big data and have transparent methodology, rapid distribution and broad availability with the opportunity for open data processing, and analysis to easily assess for reproducibility and replicability (1). It is also beneficial to have a large diverse author and reviewer pool to provide a multitude of perspectives, minimize bias, and prevent inaccuracies.Here, I reflect on the strengths and weaknesses of the research enterprise during the pandemic as pertains to publication volume, authorship and collaboration, peer review, accessibility, impact, and quality (Table 1). Because there is a dearth of bibliometric data on COVID-19 articles about neurology, in general, and neuro-ophthalmology, in particular, I broadly address COVID-19 articles from all disciplines but provide focused commentary on articles about neurology and ophthalmology when able. PUBLICATION VOLUMEThe number of COVID-19 articles indexed on PubMed escalated quickly: while there were 114 posted in January 2020, 695 were added in February and 2029 were added in March (2). These articles were published in 632 different journals (32% American, 22% British, 8% Chinese, 5% Dutch, 4% German, and 5% other), 521 of which were indexed by the Journal Citation Reports and had a median impact factor of 5.099 (IQR 0.161-70.67). By late April, 12 weeks after the World Health Organization (WHO) declared COVID-19 a public health emergency of international concern, there were 7,155 articles on COVID-19 indexed on PubMed (3). The publication rate worldwide rose proportionately to the death rate and was significantly related to COVID-19 cases per capita, health care access and quality index, gross domestic product per capita and health spending per capita (all P , 0.0001), pre-COVID-19 h-index, Global Health Security Index, physicians per 1,000 inhabitants, and nurses per 1,000 inhabitants (all P , 0.05) (4,5).By the end of May, there were 92% more submissions to Elsevier's health and medicine journals compared with 2019 and 17,564 articles on COVID-19 were indexed on PubMed (6,7). At the end of 2020, there were over 100,000 articles on COVID-19, comprising 8% of all records in...

show abstract

Global research trends in COVID-19 with MRI and PET/CT: a scoping review with bibliometric and network analyses

Cited by 9 publications

References 101 publications

Medical magnetic resonance imaging publications in Arab countries: A 25-year bibliometric analysis

Medical magnetic resonance imaging publications in Arab countries: A 25-year bibliometric analysis

COVID-19 imaging, where do we go from here? Bibliometric analysis of medical imaging in COVID-19

Strengths and Weaknesses of the Research Enterprise During the Pandemic

Contact Info

Product

Resources

About