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Volume 18, Issue 1 (Iranian Journal of Breast Diseases 2025)
ijbd 2025, 18(1): 4-30 |
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Ghalambaz S. A Scientometric Analysis of Four Decades of Scientific Production in Breast Imaging: A Study of Keywords, Trends, and Research Support. ijbd 2025; 18 (1) :4-30
URL: http://ijbd.ir/article-1-1164-en.html
URL: http://ijbd.ir/article-1-1164-en.html
Department of Knowledge and Information Science, Payame Noor University, Tehran, Iran , s.ghalambaz@gmail.com
Abstract: (548 Views)
Introduction: In recent years, significant advancements have been made in the field of breast imaging. The present study provides an overview of keywords and the participation trends of various countries in the field through scientometric analysis. Moreover, research funding from institutions in the field of breast imaging, as an important factor contributing to scientific progress, is also examined.
Methods: Relevant articles were extracted from the Web of Science database, and their data were analyzed using Python scripts to evaluate keyword trends and research support.
Results: The results indicated that research on breast imaging primarily focuses on the keywords “breast cancer” and “mammography,” while the use of “deep learning” has grown substantially since 2014. The National Institutes of Health (NIH) is at the forefront of funding these studies, and other organizations, such as the National Natural Science Foundation of China and the National Cancer Institute, also play significant roles. Other entities, including the World Health Organization and the Japan Cancer Research Institute, have also provided notable support.
Conclusion: Funding trends show that support from the NIH peaked in 2014, whereas the National Cancer Institute and the National Science Foundation exhibited varying patterns of funding. Internationally, the National Natural Science Foundation of China has significantly increased its support by 2022, and organizations such as the Korea National Research Foundation have taken a more active role. This reflects a growing global effort in breast imaging research. In recent years, the use of “deep learning” has risen significantly, underscoring an increasing interest in artificial intelligence and deep learning for breast imaging analysis.
Methods: Relevant articles were extracted from the Web of Science database, and their data were analyzed using Python scripts to evaluate keyword trends and research support.
Results: The results indicated that research on breast imaging primarily focuses on the keywords “breast cancer” and “mammography,” while the use of “deep learning” has grown substantially since 2014. The National Institutes of Health (NIH) is at the forefront of funding these studies, and other organizations, such as the National Natural Science Foundation of China and the National Cancer Institute, also play significant roles. Other entities, including the World Health Organization and the Japan Cancer Research Institute, have also provided notable support.
Conclusion: Funding trends show that support from the NIH peaked in 2014, whereas the National Cancer Institute and the National Science Foundation exhibited varying patterns of funding. Internationally, the National Natural Science Foundation of China has significantly increased its support by 2022, and organizations such as the Korea National Research Foundation have taken a more active role. This reflects a growing global effort in breast imaging research. In recent years, the use of “deep learning” has risen significantly, underscoring an increasing interest in artificial intelligence and deep learning for breast imaging analysis.
Type of Study: Research |
Subject:
Diagnosis, treatment, rehabilitation
Received: 2024/11/21 | Accepted: 2025/02/15 | Published: 2025/03/19
Received: 2024/11/21 | Accepted: 2025/02/15 | Published: 2025/03/19
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