Visual analysis of image-guided radiation therapy based on bibliometrics: A review

影像引导放射治疗 医学 放射肿瘤学 文献计量学 医学影像学 医学物理学 放射治疗 医学教育 图书馆学 放射科 计算机科学
作者
Jin-Hui Yuan,Qing-Song Li,Yan Shen
出处
期刊:Medicine [Wolters Kluwer]
卷期号:102 (8): e32989-e32989
标识
DOI:10.1097/md.0000000000032989
摘要

Radiation therapy plays an important role in tumor treatment. The development of image-guided radiation therapy (IGRT) technology provides a strong guarantee for precise radiation therapy of tumors. However, bibliometric studies on IGRT research have rarely been reported. This study uses literature collected from the Web of Science during 1987 to 2021 as a sample and uses the bibliometric method to reveal the current research status, hotspots, and development trends in IGRT. Based on 6407 papers published from the Web of Science during 1987 to 2021, we utilized Microsoft Excel 2007 and cite space software to perform statistical analysis and visualization of IGRT. A total of 6407 articles were included, this area of IGRT has gone through 4 stages: budding period, growth period, outbreak period, and stationary period. The research category is mainly distributed in Radiology Nuclear Medicine Medical Imaging, which intersects with the research categories of Materials, Physics, and Mathematics. Yin FF, Tanderup K, and Sonke JJ are highly productive scholars who are active in IGRT research, while Jaffray DA, van Herk M and Guckenberger M are authors with high impact in this field. The team of scholars has close cooperation within the team and weak cooperation among teams. The League of European Research Universities, University of Texas System, University of Toronto, and Princess Margaret Cancer are the main research institutions in this field. The United States has the most research literature, followed by China and Germany. Six thousand four hundred seven articles are distributed in 712 journals, and the top 3 journals are Med Phys, Int J Radiat Oncol, and Radiather Oncol. Precise registration, intelligence, magnetic resonance guidance, and deep learning are current research hotspots. These results demonstrate that the research in this field is relatively mature and fruitful in the past 35 years, providing a solid theoretical basis and practical experience for precision radiotherapy.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
SirDream完成签到,获得积分10
刚刚
pw完成签到 ,获得积分10
刚刚
刚刚
深情安青应助xixi采纳,获得10
刚刚
hgl完成签到 ,获得积分20
刚刚
引商刻羽完成签到,获得积分10
1秒前
独闯江湖完成签到,获得积分10
2秒前
2秒前
大方树叶完成签到,获得积分10
2秒前
祖安诳人完成签到,获得积分10
2秒前
帅气的老五完成签到,获得积分10
3秒前
tantan完成签到,获得积分10
3秒前
俗丨完成签到,获得积分10
4秒前
王汽车完成签到,获得积分10
5秒前
无疾而终完成签到,获得积分10
5秒前
xinxinfenghuo完成签到,获得积分10
6秒前
weita完成签到,获得积分10
6秒前
多多发SCI完成签到,获得积分10
6秒前
温暖的季节完成签到,获得积分10
6秒前
忧郁紫翠发布了新的文献求助10
7秒前
7秒前
7秒前
7秒前
巴旦木完成签到,获得积分10
7秒前
JamesPei应助芃芃采纳,获得10
8秒前
你不懂完成签到,获得积分10
8秒前
季然完成签到,获得积分10
9秒前
xiaoyi发布了新的文献求助200
9秒前
gugugaga完成签到,获得积分10
9秒前
西柚西柚完成签到 ,获得积分10
9秒前
英俊安荷完成签到,获得积分10
9秒前
meimei完成签到,获得积分10
10秒前
优秀含羞草完成签到,获得积分10
10秒前
Antonio完成签到 ,获得积分10
10秒前
夜未央发布了新的文献求助10
11秒前
赵先生完成签到,获得积分10
11秒前
Amnesia1102完成签到 ,获得积分10
11秒前
Owen应助坦率的傲芙采纳,获得10
11秒前
黑色卡布奇诺完成签到,获得积分10
12秒前
坚定的若枫完成签到,获得积分10
12秒前
高分求助中
Clinical Epidemiology: The Essentials, 6e 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Graphene Handbook (2019 Edition) 800
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
久松真一著作集〈第5巻〉禅と芸術 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6555123
求助须知:如何正确求助?哪些是违规求助? 8339469
关于积分的说明 17865806
捐赠科研通 5672532
什么是DOI,文献DOI怎么找? 2940162
邀请新用户注册赠送积分活动 1916044
关于科研通互助平台的介绍 1785929