• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

胸部疾病中基于能量成像的研究趋势与热点:一项文献计量学分析

Trends and hotspots of energy-based imaging in thoracic disease: a bibliometric analysis.

作者信息

Chen Yufan, Wu Ting, Zhu Yangtong, Chen Jiawei, Gao Chen, Wu Linyu

机构信息

Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.

The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.

出版信息

Insights Imaging. 2024 Aug 14;15(1):209. doi: 10.1186/s13244-024-01788-4.

DOI:10.1186/s13244-024-01788-4
PMID:39143273
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11324624/
Abstract

OBJECTIVE

To conduct a bibliometric analysis of the prospects and obstacles associated with dual- and multi-energy CT in thoracic disease, emphasizing its current standing, advantages, and areas requiring attention.

METHODS

The Web of Science Core Collection was queried for relevant publications in dual- and multi-energy CT and thoracic applications without a limit on publication date or language. The Bibliometrix packages, VOSviewer, and CiteSpace were used for data analysis. Bibliometric techniques utilized were co-authorship analyses, trend topics, thematic map analyses, thematic evolution analyses, source's production over time, corresponding author's countries, and a treemap of authors' keywords.

RESULTS

A total of 1992 publications and 7200 authors from 313 different sources were examined in this study. The first available document was published in November 1982, and the most cited article was cited 1200 times. Siemens AG in Germany emerged as the most prominent author affiliation, with a total of 221 published articles. The most represented scientific journals were the "European Radiology" (181 articles, h-index = 46), followed by the "European Journal of Radiology" (148 articles, h-index = 34). Most of the papers were from Germany, the USA, or China. Both the keyword and topic analyses showed the history of dual- and multi-energy CT and the evolution of its application hotspots in the chest.

CONCLUSION

Our study illustrates the latest advances in dual- and multi-energy CT and its increasingly prominent applications in the chest, especially in lung parenchymal diseases and coronary artery diseases. Photon-counting CT and artificial intelligence will be the emerging hot technologies that continue to develop in the future.

CRITICAL RELEVANCE STATEMENT

This study aims to provide valuable insights into energy-based imaging in chest disease, validating the clinical application of multi-energy CT together with photon-counting CT and effectively increasing utilization in clinical practice.

KEY POINTS

Bibliometric analysis is fundamental to understanding the current and future state of dual- and multi-energy CT. Research trends and leading topics included coronary artery disease, pulmonary embolism, and radiation dose. All analyses indicate a growing interest in the use of energy-based imaging techniques for thoracic applications.

摘要

目的

对双能量和多能量CT在胸部疾病中的应用前景及障碍进行文献计量分析,重点阐述其现状、优势及需关注的领域。

方法

在Web of Science核心合集中查询双能量和多能量CT以及胸部应用方面的相关出版物,不限出版日期和语言。使用Bibliometrix软件包、VOSviewer和CiteSpace进行数据分析。所采用的文献计量技术包括合著分析、趋势主题、主题地图分析、主题演变分析、来源随时间的产出、通讯作者所在国家以及作者关键词树形图。

结果

本研究共审查了来自313个不同来源的1992篇出版物和7200名作者。第一篇可用文献发表于1982年11月,被引次数最多的文章被引用了1200次。德国的西门子公司是最突出的作者所属机构,共发表了221篇文章。发表文章最多的科学期刊是《欧洲放射学》(181篇文章,h指数 = 46),其次是《欧洲放射学杂志》(148篇文章,h指数 = 34)。大多数论文来自德国、美国或中国。关键词和主题分析均显示了双能量和多能量CT的发展历程及其在胸部应用热点的演变。

结论

我们的研究阐述了双能量和多能量CT的最新进展及其在胸部日益突出的应用,尤其是在肺实质疾病和冠状动脉疾病方面。光子计数CT和人工智能将是未来持续发展的新兴热门技术。

关键相关性声明

本研究旨在为胸部疾病的能量成像提供有价值的见解,验证多能量CT与光子计数CT的临床应用,并有效提高其在临床实践中的利用率。

要点

文献计量分析对于了解双能量和多能量CT的现状及未来发展至关重要。研究趋势和主要主题包括冠状动脉疾病、肺栓塞和辐射剂量。所有分析均表明对基于能量的成像技术在胸部应用的兴趣日益浓厚。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/044b/11324624/7d3655b11104/13244_2024_1788_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/044b/11324624/d41013372bae/13244_2024_1788_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/044b/11324624/86bb7d7b9429/13244_2024_1788_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/044b/11324624/52582b018a92/13244_2024_1788_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/044b/11324624/e1f61774e4dc/13244_2024_1788_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/044b/11324624/a96fd33f289e/13244_2024_1788_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/044b/11324624/7d3655b11104/13244_2024_1788_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/044b/11324624/d41013372bae/13244_2024_1788_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/044b/11324624/86bb7d7b9429/13244_2024_1788_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/044b/11324624/52582b018a92/13244_2024_1788_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/044b/11324624/e1f61774e4dc/13244_2024_1788_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/044b/11324624/a96fd33f289e/13244_2024_1788_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/044b/11324624/7d3655b11104/13244_2024_1788_Fig6_HTML.jpg

相似文献

1
Trends and hotspots of energy-based imaging in thoracic disease: a bibliometric analysis.胸部疾病中基于能量成像的研究趋势与热点:一项文献计量学分析
Insights Imaging. 2024 Aug 14;15(1):209. doi: 10.1186/s13244-024-01788-4.
2
Research Trends in the Application of Artificial Intelligence in Oncology: A Bibliometric and Network Visualization Study.人工智能在肿瘤学应用中的研究趋势:文献计量学和网络可视化研究。
Front Biosci (Landmark Ed). 2022 Aug 31;27(9):254. doi: 10.31083/j.fbl2709254.
3
Trends of mitochondrial changes in AD: a bibliometric study.阿尔茨海默病中线粒体变化的趋势:一项文献计量学研究。
Front Aging Neurosci. 2023 May 16;15:1136400. doi: 10.3389/fnagi.2023.1136400. eCollection 2023.
4
Global research trends of artificial intelligence applied in esophageal carcinoma: A bibliometric analysis (2000-2022) CiteSpace and VOSviewer.人工智能应用于食管癌的全球研究趋势:一项文献计量分析(2000 - 2022年) CiteSpace和VOSviewer
Front Oncol. 2022 Aug 25;12:972357. doi: 10.3389/fonc.2022.972357. eCollection 2022.
5
Trends and hot topics in radiology, nuclear medicine and medical imaging from 2011-2021: a bibliometric analysis of highly cited papers.2011-2021 年放射学、核医学和医学影像学的趋势和热点:高被引论文的文献计量分析。
Jpn J Radiol. 2022 Aug;40(8):847-856. doi: 10.1007/s11604-022-01268-z. Epub 2022 Mar 28.
6
Frontiers and hotspots of F-FDG PET/CT radiomics: A bibliometric analysis of the published literature.F-FDG PET/CT 影像组学的前沿与热点:已发表文献的文献计量学分析
Front Oncol. 2022 Sep 13;12:965773. doi: 10.3389/fonc.2022.965773. eCollection 2022.
7
Bibliometric analysis of electroencephalogram research in Parkinson's disease from 2004 to 2023.2004年至2023年帕金森病脑电图研究的文献计量分析
Front Neurosci. 2024 Jul 19;18:1433583. doi: 10.3389/fnins.2024.1433583. eCollection 2024.
8
Quantitative analysis of artificial intelligence on liver cancer: A bibliometric analysis.人工智能在肝癌方面的定量分析:一项文献计量分析。
Front Oncol. 2023 Feb 16;13:990306. doi: 10.3389/fonc.2023.990306. eCollection 2023.
9
Global Highly Cited Publication Trends and Research Hotspots in Osteoporosis and Bone Metabolic Cells: A Bibliometric and Visualization Analysis from 2013 to 2023.骨质疏松症与骨代谢细胞领域的全球高被引出版物趋势及研究热点:2013年至2023年的文献计量学与可视化分析
Endocr Metab Immune Disord Drug Targets. 2025;25(5):386-399. doi: 10.2174/0118715303300989240702043834.
10
[Research hot spots and trends of keratoconus in China: a bibliometric analysis].[中国圆锥角膜的研究热点与趋势:文献计量学分析]
Zhonghua Yan Ke Za Zhi. 2024 Feb 11;60(2):156-167. doi: 10.3760/cma.j.cn112142-20231009-00126.

本文引用的文献

1
Photon-counting CT in Thoracic Imaging: Early Clinical Evidence and Incorporation Into Clinical Practice.光子计数 CT 在胸部成像中的应用:早期临床证据与临床实践的结合。
Radiology. 2024 Mar;310(3):e231986. doi: 10.1148/radiol.231986.
2
An overview and visual analysis of research on government regulation in healthcare.医疗保健领域政府监管研究的概述与可视化分析。
Front Public Health. 2023 Nov 13;11:1272572. doi: 10.3389/fpubh.2023.1272572. eCollection 2023.
3
Quantitative Analysis for Lung Disease on Thin-Section CT.薄层CT上肺部疾病的定量分析
Diagnostics (Basel). 2023 Sep 18;13(18):2988. doi: 10.3390/diagnostics13182988.
4
Trends and statistics of artificial intelligence and radiomics research in Radiology, Nuclear Medicine, and Medical Imaging: bibliometric analysis.人工智能和放射组学在放射学、核医学和医学影像学研究中的趋势和统计:文献计量分析。
Eur Radiol. 2023 Nov;33(11):7542-7555. doi: 10.1007/s00330-023-09772-0. Epub 2023 Jun 14.
5
Dual-Energy CT for Pediatric Thoracic Imaging: A Review.双能 CT 在儿科胸部成像中的应用:综述。
AJR Am J Roentgenol. 2023 Oct;221(4):526-538. doi: 10.2214/AJR.23.29244. Epub 2023 May 17.
6
Computed tomography findings, associated factors, and management of pulmonary nodules in 54,326 healthy individuals.54326 例健康个体肺结节的计算机断层扫描表现、相关因素和处理。
J Cancer Res Ther. 2022 Dec;18(7):2041-2048. doi: 10.4103/jcrt.jcrt_1586_22.
7
Dual- and multi-energy CT for particle stopping-power estimation: current state, challenges and potential.用于粒子阻止本领估计的双能和多能CT:现状、挑战与潜力
Phys Med Biol. 2023 Feb 6;68(4). doi: 10.1088/1361-6560/acabfa.
8
Spectral CT imaging: Technical principles of dual-energy CT and multi-energy photon-counting CT.光谱CT成像:双能CT和多能光子计数CT的技术原理
Diagn Interv Imaging. 2023 Apr;104(4):167-177. doi: 10.1016/j.diii.2022.11.003. Epub 2022 Nov 19.
9
Dual-Energy CT of the Heart: A Review.心脏双能量CT:综述
J Imaging. 2022 Sep 1;8(9):236. doi: 10.3390/jimaging8090236.
10
Photon-Counting Detector CT: Key Points Radiologists Should Know.光子计数探测器 CT:放射科医生应该知道的要点。
Korean J Radiol. 2022 Sep;23(9):854-865. doi: 10.3348/kjr.2022.0377.