Global evolution of research on pulmonary nodules: a bibliometric analysis

This article was originally published here

Future Oncol. 2021 Apr 21. doi: 10.2217/fon-2020-0987. Online ahead of print.

ABSTRACT

Aim: 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. Methods: A bibliometric analysis of publications from Scopus (1970-2020) and Web of Science (2011-2020). Results: 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. Conclusions: Abundant research has focused on pulmonary nodules. Deep learning is emerging as a promising tool for lung cancer diagnosis and management.

PMID:33880950 | DOI:10.2217/fon-2020-0987