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宫颈癌近距离放射治疗的研究趋势:一项文献计量分析

Research trends in cervical cancer brachytherapy: a bibliometric analysis.

作者信息

Bao Shuilan, Wang Yiren, Hu Yiheng, Lin Sheng, Wang Youhua, Yuan Ke, Zhou Yun, Zhou Ping, Pang Haowen, Zuo Zhengyi

机构信息

School of Nursing, Southwest Medical University, Luzhou, 646000, Sichuan, China.

Wound Healing Basic Research and Clinical Applications Key Laboratory of Luzhou, School of Nursing, Southwest Medical University, Luzhou, 646000, Sichuan, China.

出版信息

Discov Oncol. 2025 Aug 9;16(1):1512. doi: 10.1007/s12672-025-03287-4.

DOI:10.1007/s12672-025-03287-4
PMID:40782269
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12335422/
Abstract

BACKGROUND

Cervical cancer (CC) was a significant gynecological malignancy. Brachytherapy (BT) has found extensive application in cervical cancer radiotherapy, attributed to its remarkable features of high-precision positioning and highly conformal dose distribution. However, the field lacks a comprehensive bibliometric analysis. This research provides a comprehensive bibliometric analysis of cervical cancer brachytherapy trends and key topics, projecting future research directions.

METHODS

A search was executed within the Web of Science Core Collection for publications on cervical cancer brachytherapy until 2025/6/23. Analytical tools were utilized to conduct in-depth bibliometric and visual analyses of the relevant online publications. The analyses covered multiple aspects, including countries/regions, institutions, authors, journals, and keywords.

RESULTS

A total of 2924 articles were analyzed, showing an upward trend. The USA was the most productive country, with the Medical University of Vienna leading in publications. Brachytherapy had the highest number of publications. Tanderup K was the most prolific author, while Pötter R was the most frequently co-cited author. The latest high-frequency keywords included "cervical cancer," "interstitial brachytherapy," and "image-guided brachytherapy," among others. Through keyword co-occurrence-based cluster analysis, 10 distinct clusters were generated, effectively highlighting the research hotspots and frontiers in cervical cancer brachytherapy.

CONCLUSIONS

With medical imaging informatics advancing, research on cervical cancer brachytherapy has become increasingly profound. Recently, areas such as image-guided-adaptive-brachytherapy, effective biological dose, and radionecrosis have attracted significant research attention. Future research is expected to focus on developing and enhancing artificial intelligence (AI) tools to optimize brachytherapy treatment planning, aiming to benefit a larger number of cervical cancer patients.

摘要

背景

宫颈癌是一种重要的妇科恶性肿瘤。近距离放射治疗(BT)因其高精度定位和高度适形的剂量分布等显著特点,在宫颈癌放疗中得到了广泛应用。然而,该领域缺乏全面的文献计量分析。本研究对宫颈癌近距离放射治疗的趋势和关键主题进行了全面的文献计量分析,预测了未来的研究方向。

方法

在科学网核心合集中检索截至2025年6月23日关于宫颈癌近距离放射治疗的出版物。利用分析工具对相关在线出版物进行深入的文献计量和可视化分析。分析涵盖多个方面,包括国家/地区、机构、作者、期刊和关键词。

结果

共分析了2924篇文章,呈上升趋势。美国是发文量最多的国家,维也纳医科大学在出版物数量上领先。近距离放射治疗的出版物数量最多。坦德鲁普·K是发文最多的作者,而波特·R是被共同引用频率最高的作者。最新的高频关键词包括“宫颈癌”“间质近距离放射治疗”和“图像引导近距离放射治疗”等。通过基于关键词共现的聚类分析,生成了10个不同的聚类,有效突出了宫颈癌近距离放射治疗的研究热点和前沿。

结论

随着医学影像信息学的发展,宫颈癌近距离放射治疗的研究日益深入。近年来,图像引导自适应近距离放射治疗、有效生物剂量和放射性坏死等领域受到了显著的研究关注。未来的研究有望聚焦于开发和增强人工智能(AI)工具以优化近距离放射治疗计划,旨在使更多宫颈癌患者受益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26fc/12335422/328d1f9d7dc8/12672_2025_3287_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26fc/12335422/47da1b39634e/12672_2025_3287_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26fc/12335422/e298f23ad2ea/12672_2025_3287_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26fc/12335422/818144b25082/12672_2025_3287_Fig3a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26fc/12335422/acf17382e06c/12672_2025_3287_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26fc/12335422/02598459273b/12672_2025_3287_Fig5a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26fc/12335422/e5221884beac/12672_2025_3287_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26fc/12335422/db477aa23b5f/12672_2025_3287_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26fc/12335422/4f52f179f555/12672_2025_3287_Fig8a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26fc/12335422/328d1f9d7dc8/12672_2025_3287_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26fc/12335422/47da1b39634e/12672_2025_3287_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26fc/12335422/e298f23ad2ea/12672_2025_3287_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26fc/12335422/818144b25082/12672_2025_3287_Fig3a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26fc/12335422/acf17382e06c/12672_2025_3287_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26fc/12335422/02598459273b/12672_2025_3287_Fig5a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26fc/12335422/e5221884beac/12672_2025_3287_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26fc/12335422/db477aa23b5f/12672_2025_3287_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26fc/12335422/4f52f179f555/12672_2025_3287_Fig8a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26fc/12335422/328d1f9d7dc8/12672_2025_3287_Fig9_HTML.jpg

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本文引用的文献

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