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膀胱癌影像学的全球研究趋势与热点:1981年至2023年的文献计量学与可视化分析

Global research trends and hotspots on imaging of bladder cancer: A bibliometric and visual analysis from 1981 to 2023.

作者信息

Gong Zijian, Liu Zhixuan, Zhu Jianghua, Zhao Zhen, Qiu Jia, Ying Hongxin, Peng Yun, Gong Lianggen, Ye Yinquan

机构信息

Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.

Intelligent Medical Imaging of Jiangxi Key Laboratory, Nanchang, China.

出版信息

Medicine (Baltimore). 2025 Mar 21;104(12):e41907. doi: 10.1097/MD.0000000000041907.

DOI:10.1097/MD.0000000000041907
PMID:40128048
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11936662/
Abstract

There was currently no bibliometric analysis available regarding to bladder cancer (BCa) imaging. The aim of this study was to conduct a comprehensive bibliometric analysis of relevant literature on the imaging of BCa and elucidate global research hotspots and further trends in this field. All relevant literature on the imaging of BCa published between 1981 and 2023 were retrieved from the Web of Science Core Collection. VOSviewer, Bibliometrix, and Citespace were utilized for bibliometric analysis of publications, countries, authors, institutions, journals, references, and keywords. A total of 4462 articles were retrieved. The research in this field has been increasing consistently since 1981. The United States of America was the most productive country and most productive institutions were from it. Shariat SF was the most productive author with 36 articles and the author with the highest co-citations was Herr HW (472). Journal of Urology was the most productive journal and Frontiers in Oncology, Abdominal Radiology and Cancers exhibited heightened activity in recent years. A study by Siegel RL, published in CA-A Cancer Journal for Clinicians in 2019, had the highest number of co-citations. Further analysis of the keyword analysis and timeline view revealed that "radiomics," "deep learning," "multiparametric MRI," "VI-RADS," "muscle-invasive bladder cancer," "immunotherapy," and "long term outcome" were the most recent hotspots. In totally, in the period of 1981 to 2023 year, the USA occupies a critical position in the field of BCa imaging. It is anticipated that MRI-based imaging-reporting and data system and deep learning will be the research hotspots in the future.

摘要

目前尚无关于膀胱癌(BCa)影像学的文献计量分析。本研究的目的是对BCa影像学的相关文献进行全面的文献计量分析,阐明该领域的全球研究热点和未来趋势。从科学网核心合集中检索了1981年至2023年间发表的所有关于BCa影像学的相关文献。使用VOSviewer、Bibliometrix和Citespace对出版物、国家、作者、机构、期刊、参考文献和关键词进行文献计量分析。共检索到4462篇文章。自1981年以来,该领域的研究一直在持续增加。美国是产出最多的国家,产出最多的机构也来自美国。Shariat SF是产出最多的作者,有36篇文章,被引频次最高的作者是Herr HW(472次)。《泌尿外科杂志》是产出最多的期刊,《肿瘤学前沿》《腹部放射学》和《癌症》近年来表现出较高的活跃度。Siegel RL于2019年发表在《CA:临床医师癌症杂志》上的一项研究被引频次最高。对关键词分析和时间线视图的进一步分析表明,“放射组学”“深度学习”“多参数MRI”“VI-RADS”“肌层浸润性膀胱癌”“免疫疗法”和“长期结局”是最新的热点。总体而言,在1981年至2023年期间,美国在BCa影像学领域占据关键地位。预计基于MRI的影像报告和数据系统以及深度学习将成为未来的研究热点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/11936662/130424185c2d/medi-104-e41907-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/11936662/e96ae7bb46e9/medi-104-e41907-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/11936662/3287311d2d2f/medi-104-e41907-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/11936662/6f4f21f4b71c/medi-104-e41907-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/11936662/d1804a577535/medi-104-e41907-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/11936662/aea096a45e1d/medi-104-e41907-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/11936662/a978c20fad32/medi-104-e41907-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/11936662/130424185c2d/medi-104-e41907-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/11936662/e96ae7bb46e9/medi-104-e41907-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/11936662/3287311d2d2f/medi-104-e41907-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/11936662/6f4f21f4b71c/medi-104-e41907-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/11936662/d1804a577535/medi-104-e41907-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/11936662/aea096a45e1d/medi-104-e41907-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/11936662/a978c20fad32/medi-104-e41907-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/11936662/130424185c2d/medi-104-e41907-g007.jpg

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