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ORIGINAL RESEARCH article
Front. Oncol.
Sec. Gynecological Oncology
Volume 14 - 2024 |
doi: 10.3389/fonc.2024.1456932
Advances in Ovarian Cancer Radiomics: A Bibliometric Analysis from 2010 to 2024
Provisionally accepted- 1 Weifang People's Hospital, Weifang, China
- 2 Department of Obstetrics, Weifang People's Hospital, Weifang, China
Objective: Ovarian cancer, a leading cause of death among gynecological malignancies, often eludes early detection, leading to diagnoses at advanced stages. The objective of this bibliometric analysis is to map the landscape of ovarian cancer radiomics research from 2010 to 2024, emphasizing its growth, global contributions, and the impact of emerging technologies on early diagnosis and treatment strategies.Methods: A comprehensive search was conducted using the Web of Science Core Collection (WoSCC), focusing on publications related to radiomics and ovarian cancer within the specified period. Analytical tools such as VOSviewer and CiteSpace were employed to visualize trends, collaborations, and key contributions, while the R programming environment offered further statistical insights.Results: From the initial dataset, 149 articles were selected, showing a significant increase in research output, especially in the years 2021-2023. The analysis revealed a dominant contribution from China, with significant inputs from England. Major institutional contributors included the University of Cambridge and GE Healthcare. 'Frontiers in Oncology' emerged as a crucial journal in the field, according to Bradford's Law. Keyword analysis highlighted the focus on advanced imaging techniques and machine learning.The steady growth in ovarian cancer radiomics research reflects its critical role in advancing diagnostic and prognostic methodologies, underscoring the potential of radiomics in the shift towards personalized medicine. Despite some methodological challenges, the field's dynamic evolution suggests a promising future for radiomics in enhancing the accuracy of ovarian cancer diagnosis and treatment, contributing to improved patient care and outcomes.
Keywords: Bibliometric, ovarian cancer, Ovary neoplasm, Radiomics, imaging biomarkers
Received: 29 Jun 2024; Accepted: 09 Sep 2024.
Copyright: © 2024 Lan, Hong and Huayun. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Tan Huayun, Department of Obstetrics, Weifang People's Hospital, Weifang, China
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