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全球肺结节研究的演进:文献计量分析。

Global evolution of research on pulmonary nodules: a bibliometric analysis.

机构信息

Department of Epidemiology & Biostatistics, Institute of Basic Medicine Sciences, Chinese Academy of Medical Sciences/School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.

Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.

出版信息

Future Oncol. 2021 Jul;17(20):2631-2645. doi: 10.2217/fon-2020-0987. Epub 2021 Apr 21.

Abstract

To provide a historical and global picture of research concerning lung nodules, compare the contributions of major countries and explore research trends over the past 10 years. A bibliometric analysis of publications from Scopus (1970-2020) and Web of Science (2011-2020). Publications about pulmonary nodules showed an enormous growth trend from 1970 to 2020. There is a high level of collaboration among the 20 most productive countries and regions, with the USA located at the center of the collaboration network. The keywords 'deep learning', 'artificial intelligence' and 'machine learning' are current hotspots. Abundant research has focused on pulmonary nodules. Deep learning is emerging as a promising tool for lung cancer diagnosis and management.

摘要

为了提供有关肺结节研究的历史和全球图景,比较主要国家的贡献,并探讨过去 10 年的研究趋势。对 Scopus(1970-2020 年)和 Web of Science(2011-2020 年)出版物进行了文献计量分析。关于肺结节的出版物显示出从 1970 年到 2020 年的巨大增长趋势。20 个最具生产力的国家和地区之间的合作水平很高,美国位于合作网络的中心。“深度学习”、“人工智能”和“机器学习”是当前的热门关键词。已经有大量的研究集中在肺结节上。深度学习正成为肺癌诊断和管理的有前途的工具。

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