Pei Yang, Xinwen Wu, Yaya Zhao, Qingyou Ye, Mengyao Hu, Yinping Leng, Xuan Xiao, Jiahui Zhang, Haibo Ren, Lianggeng Gong
{"title":"无创成像在心肌梗死中的应用:2003年1月至2022年12月的文献计量学分析。","authors":"Pei Yang, Xinwen Wu, Yaya Zhao, Qingyou Ye, Mengyao Hu, Yinping Leng, Xuan Xiao, Jiahui Zhang, Haibo Ren, Lianggeng Gong","doi":"10.21037/qims-24-878","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Myocardial infarction (MI) is a leading cause of death and disability worldwide. Non-invasive cardiac imaging has garnered significant attention in both MI diagnostic and prognostic research. Despite the growing body of published articles, no comprehensive, quantitative analysis has been conducted to delineate key trends and emerging areas in the field of non-invasive imaging for MI. This bibliometric analysis aimed to systematically evaluate the landscape of non-invasive cardiac imaging-focused research on MI in terms of the research status, publication patterns, influential contributors, hotspots, and focal development trends.</p><p><strong>Methods: </strong>We systematically searched the Web of Science Core Collection (WoSCC) to retrieve publications related to MI imaging between 2003 and 2022. Only \"articles\" and \"reviews\" written in English were included in the final analysis. Subsequently, a manual screening process was employed to eliminate articles not relevant to the topic. The search results were exported as a plain text file in \"Full Record and Cited References\" format, and stored as \"download_*.txt\". CiteSpace and VOSviewer software were used to conduct the bibliometric and visualization analyses. These tools allowed us to analyze countries/regions and institutions' contributions, the top journals, prolific authors, influential references, and keywords.</p><p><strong>Results: </strong>Our bibliometric analysis included 33,480 publications from 138 countries, involving contributions from 19,554 institutions and 146,043 authors. Annual publications in this field have shown a rapid increase since approximately 2004. The United States of America (USA) leads in MI imaging research, boasting the highest number of publications (n=11,431), prolific research institutions, and numerous core authors. Notably, Harvard University and the University of California System emerged as the primary research institutions. Among the authors, Budoff was the most prolific contributor (n=209). The co-citation analysis, which measures how frequently an author's work is cited together with other key studies in the field, showed that Kim (n=2,794) was the most influential author based on co-citations, highlighting his significant influence in the area. Most articles appeared in the journal of the <i>American College of Cardiology</i>, while <i>Circulation</i> was the most frequently co-cited journal. Key topics included MI, risk-factor, magnetic resonance imaging (MRI), and atherosclerosis. Recent popular keywords such as ST-elevation myocardial infarction (STEMI), coronary computed tomography angiography (CTA), guidelines, and recommendations indicated future research directions.</p><p><strong>Conclusions: </strong>Our bibliometric analysis revealed that MI non-invasive imaging is a rapidly developing field, with emerging trends in multimodal imaging and artificial intelligence (AI). These findings suggest that the integration of various imaging techniques and the use of AI could enhance the clinical application of MI non-invasive imaging, particularly in terms of early diagnosis, risk stratification, and personalized treatment strategies.</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 7","pages":"6340-6359"},"PeriodicalIF":2.3000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12290736/pdf/","citationCount":"0","resultStr":"{\"title\":\"Application of non-invasive imaging in myocardial infarction: a bibliometric analysis from January 2003 to December 2022.\",\"authors\":\"Pei Yang, Xinwen Wu, Yaya Zhao, Qingyou Ye, Mengyao Hu, Yinping Leng, Xuan Xiao, Jiahui Zhang, Haibo Ren, Lianggeng Gong\",\"doi\":\"10.21037/qims-24-878\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Myocardial infarction (MI) is a leading cause of death and disability worldwide. Non-invasive cardiac imaging has garnered significant attention in both MI diagnostic and prognostic research. Despite the growing body of published articles, no comprehensive, quantitative analysis has been conducted to delineate key trends and emerging areas in the field of non-invasive imaging for MI. This bibliometric analysis aimed to systematically evaluate the landscape of non-invasive cardiac imaging-focused research on MI in terms of the research status, publication patterns, influential contributors, hotspots, and focal development trends.</p><p><strong>Methods: </strong>We systematically searched the Web of Science Core Collection (WoSCC) to retrieve publications related to MI imaging between 2003 and 2022. Only \\\"articles\\\" and \\\"reviews\\\" written in English were included in the final analysis. Subsequently, a manual screening process was employed to eliminate articles not relevant to the topic. The search results were exported as a plain text file in \\\"Full Record and Cited References\\\" format, and stored as \\\"download_*.txt\\\". CiteSpace and VOSviewer software were used to conduct the bibliometric and visualization analyses. These tools allowed us to analyze countries/regions and institutions' contributions, the top journals, prolific authors, influential references, and keywords.</p><p><strong>Results: </strong>Our bibliometric analysis included 33,480 publications from 138 countries, involving contributions from 19,554 institutions and 146,043 authors. Annual publications in this field have shown a rapid increase since approximately 2004. The United States of America (USA) leads in MI imaging research, boasting the highest number of publications (n=11,431), prolific research institutions, and numerous core authors. Notably, Harvard University and the University of California System emerged as the primary research institutions. Among the authors, Budoff was the most prolific contributor (n=209). The co-citation analysis, which measures how frequently an author's work is cited together with other key studies in the field, showed that Kim (n=2,794) was the most influential author based on co-citations, highlighting his significant influence in the area. Most articles appeared in the journal of the <i>American College of Cardiology</i>, while <i>Circulation</i> was the most frequently co-cited journal. Key topics included MI, risk-factor, magnetic resonance imaging (MRI), and atherosclerosis. Recent popular keywords such as ST-elevation myocardial infarction (STEMI), coronary computed tomography angiography (CTA), guidelines, and recommendations indicated future research directions.</p><p><strong>Conclusions: </strong>Our bibliometric analysis revealed that MI non-invasive imaging is a rapidly developing field, with emerging trends in multimodal imaging and artificial intelligence (AI). These findings suggest that the integration of various imaging techniques and the use of AI could enhance the clinical application of MI non-invasive imaging, particularly in terms of early diagnosis, risk stratification, and personalized treatment strategies.</p>\",\"PeriodicalId\":54267,\"journal\":{\"name\":\"Quantitative Imaging in Medicine and Surgery\",\"volume\":\"15 7\",\"pages\":\"6340-6359\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12290736/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Quantitative Imaging in Medicine and Surgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.21037/qims-24-878\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/6/30 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quantitative Imaging in Medicine and Surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.21037/qims-24-878","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/6/30 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
摘要
背景:心肌梗死(MI)是世界范围内导致死亡和残疾的主要原因。无创心脏成像在心肌梗死诊断和预后研究中引起了极大的关注。尽管发表的文章越来越多,但尚未对心肌梗死无创成像领域的关键趋势和新兴领域进行全面、定量的分析。本文献计量分析旨在系统地评估心肌梗死无创心脏成像研究的现状,包括研究现状、发表模式、有影响力的贡献者、热点和重点发展趋势。方法:我们系统地检索Web of Science Core Collection (WoSCC),检索2003年至2022年间与心肌梗死成像相关的出版物。只有“文章”和“评论”用英文写在最后的分析。随后,采用人工筛选过程来消除与该主题无关的文章。检索结果导出为“Full Record and Cited References”格式的纯文本文件,存储为“download_*.txt”。采用CiteSpace和VOSviewer软件进行文献计量和可视化分析。这些工具使我们能够分析国家/地区和机构的贡献、顶级期刊、多产作者、有影响力的参考文献和关键词。结果:我们的文献计量分析包括来自138个国家的33,480份出版物,涉及19,554个机构和146,043位作者的贡献。大约自2004年以来,该领域的年度出版物显示出快速增长。美国(USA)在心肌梗死成像研究方面处于领先地位,发表论文数量最多(n=11,431),研究机构数量众多,核心作者众多。值得注意的是,哈佛大学和加州大学系统成为主要的研究机构。在作者中,Budoff是最多产的贡献者(n=209)。共被引分析是衡量作者的作品与该领域的其他核心研究一起被引用的频率,结果显示,金教授(n= 2794)是以共被引次数为标准的最具影响力的作者,突出了他在该领域的巨大影响力。大多数文章发表在美国心脏病学会杂志上,而《循环》是最常被共同引用的杂志。关键主题包括心肌梗死、危险因素、磁共振成像(MRI)和动脉粥样硬化。最近流行的关键词如st段抬高型心肌梗死(STEMI)、冠状动脉ct血管造影(CTA)、指南和建议提示了未来的研究方向。结论:我们的文献计量分析显示,心肌梗死无创成像是一个快速发展的领域,多模态成像和人工智能(AI)正在兴起。这些发现表明,各种成像技术的整合和人工智能的使用可以增强心肌梗死无创成像的临床应用,特别是在早期诊断、风险分层和个性化治疗策略方面。
Application of non-invasive imaging in myocardial infarction: a bibliometric analysis from January 2003 to December 2022.
Background: Myocardial infarction (MI) is a leading cause of death and disability worldwide. Non-invasive cardiac imaging has garnered significant attention in both MI diagnostic and prognostic research. Despite the growing body of published articles, no comprehensive, quantitative analysis has been conducted to delineate key trends and emerging areas in the field of non-invasive imaging for MI. This bibliometric analysis aimed to systematically evaluate the landscape of non-invasive cardiac imaging-focused research on MI in terms of the research status, publication patterns, influential contributors, hotspots, and focal development trends.
Methods: We systematically searched the Web of Science Core Collection (WoSCC) to retrieve publications related to MI imaging between 2003 and 2022. Only "articles" and "reviews" written in English were included in the final analysis. Subsequently, a manual screening process was employed to eliminate articles not relevant to the topic. The search results were exported as a plain text file in "Full Record and Cited References" format, and stored as "download_*.txt". CiteSpace and VOSviewer software were used to conduct the bibliometric and visualization analyses. These tools allowed us to analyze countries/regions and institutions' contributions, the top journals, prolific authors, influential references, and keywords.
Results: Our bibliometric analysis included 33,480 publications from 138 countries, involving contributions from 19,554 institutions and 146,043 authors. Annual publications in this field have shown a rapid increase since approximately 2004. The United States of America (USA) leads in MI imaging research, boasting the highest number of publications (n=11,431), prolific research institutions, and numerous core authors. Notably, Harvard University and the University of California System emerged as the primary research institutions. Among the authors, Budoff was the most prolific contributor (n=209). The co-citation analysis, which measures how frequently an author's work is cited together with other key studies in the field, showed that Kim (n=2,794) was the most influential author based on co-citations, highlighting his significant influence in the area. Most articles appeared in the journal of the American College of Cardiology, while Circulation was the most frequently co-cited journal. Key topics included MI, risk-factor, magnetic resonance imaging (MRI), and atherosclerosis. Recent popular keywords such as ST-elevation myocardial infarction (STEMI), coronary computed tomography angiography (CTA), guidelines, and recommendations indicated future research directions.
Conclusions: Our bibliometric analysis revealed that MI non-invasive imaging is a rapidly developing field, with emerging trends in multimodal imaging and artificial intelligence (AI). These findings suggest that the integration of various imaging techniques and the use of AI could enhance the clinical application of MI non-invasive imaging, particularly in terms of early diagnosis, risk stratification, and personalized treatment strategies.