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Knowledge Domain and Emerging Trends in Brachytherapy: A Scientometric Analysis Publisher



Ghazbani A1 ; Abdolahi M2 ; Mansourzadeh MJ3 ; Basirianjahromi R4 ; Behzadipour S1 ; Mohseni Azad A5 ; Talebzadeh B6 ; Khosravi A4 ; Hamidi A4
Authors
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Authors Affiliations
  1. 1. Student Research Committee, Bushehr University of Medical Sciences, Bushehr, Iran
  2. 2. Department of Radiology, Faculty of Paramedicine, Bushehr University of Medical Sciences, Bushehr, Iran
  3. 3. School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Department of Medical Library and Information Sciences, Faculty of Paramedicine, Bushehr University of Medical Sciences, Bushehr, Iran
  5. 5. Department of Surgery, Faculty of Medicine, Bushehr University of Medical Sciences, Bushehr, Iran
  6. 6. Faculty of Pharmacy, Semmelweis University, Budapest, Hungary

Source: Precision Radiation Oncology Published:2022


Abstract

Objective: Assessing the current scientific situation helps to recognize the gaps and strengths of brachytherapy research projects. This research project was conducted to assess the knowledge domain and emerging trends in brachytherapy through a scientometric perspective. Methods: For the present research, the Web of Science database was considered as the data source. Integrated data was transferred to Bibliometrix R Package V3.1. In this study, the scientometric approach was performed by CiteSpace 5.8.R3 to draw the trends and signify issues in the research area. Eventually, scientometric indicators were evaluated at the level of authors, documents, journals, organizations, and countries. Results: A total of 31,362 documents from 64,740 Independent researchers were retrieved. The United States, Germany, and Canada were the most active countries in brachytherapy-related research projects. In the present study, Luc Beaulieu, Christine Kirisits, and Ronald Nath were identified as the most influential authors. Eventually, keywords clusters were constructed by using the method of co-citation analysis. In this case, the main clusters were cervical cancer and prostate cancer. Conclusion: Assessing the scientific trends in brachytherapy indicated that new insights have been gained into this cancer treatment technique. In this case, development of computer applications and artificial intelligence alongside deep learning utilization provides new horizons for oncology and radiotherapy researchers. © 2022 The Authors. Precision Radiation Oncology published by John Wiley & Sons Australia, Ltd on behalf of Shandong Cancer Hospital & Institute.