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鼻咽癌影像组学的文献计量分析:趋势与见解

A bibliometric analysis of nasopharyngeal carcinoma radiomics: trends and insights.

作者信息

Deng Muling, Lin Yuhao, Yan Linghui, Chen Chuanben, Fei Zhaodong, Ding Jianming

机构信息

Department of Radiation Oncology, School of Oncology Clinical Medicine, Fujian Medical University, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, China.

出版信息

Front Oncol. 2025 Mar 25;15:1506778. doi: 10.3389/fonc.2025.1506778. eCollection 2025.

DOI:10.3389/fonc.2025.1506778
PMID:40201350
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11975905/
Abstract

BACKGROUND

Nasopharyngeal carcinoma (NPC) is a malignant tumor characterized by distinct geographic and pathological features. Enhancing diagnostic accuracy and timeliness in NPC is crucial for clinical implications. Radiomics has demonstrated significant potential in the clinical management of NPC. Nonetheless, a paucity of bibliometric studies has systematically examined the existing literature in th is domain. The objective of this study was to assess the current landscape and project future trends in NPC research.

METHODS

This study conducted a search on English-language literature concerning the application of radiomics within the field of nasopharyngeal carcinoma (NPC) research from January 2015 to July 1, 2024, utilizing the Web of Science Core Collection (WoSCC) database. Bibliometric and visual analyses were performed using VOSviewer and CiteSpace software on publications related to countries/regions, authors, journals, references, and keywords.

RESULTS

A total of 311 documents were retrieved, yielding 229 eligible documents after screening, comprising 209 articles and 20 reviews. Annual publications showed an upward trend, while citations revealed a generally declining trend. Notably, China contributed the most publications (n=175). Tian Jie and Dong Di each published 13 papers, and Zhang B was the most frequently co-cited author. Frontiers in Oncology published the most articles (n=25), and the International Journal of Radiation Oncology Biology Physics had the highest citation count (n=331). Sun Yat-sen University led institutional publications (n=39). The radiomics research in NPC focuses on survival prediction, texture analysis, and distant metastasis, and may guide future research directions.

CONCLUSION

The application of radiomics in NRC is growing annually, as indicated by bibliometric analysis. Radiomics has enhanced the precision of preoperative diagnosis, prediction, and prognosis in NRC. Bibliometric findings offer insights into radiomics research trends. However, creating extensive NPC datasets and bridging the research-to-clinical gap pose significant challenges. Future research should focus on these areas to advance the development.

摘要

背景

鼻咽癌(NPC)是一种具有独特地理和病理特征的恶性肿瘤。提高鼻咽癌诊断的准确性和及时性对临床意义重大。放射组学已在鼻咽癌的临床管理中显示出巨大潜力。然而,缺乏文献计量学研究系统地审视该领域的现有文献。本研究的目的是评估鼻咽癌研究的现状并预测未来趋势。

方法

本研究利用科学网核心合集(WoSCC)数据库,检索了2015年1月至2024年7月1日期间关于放射组学在鼻咽癌(NPC)研究领域应用的英文文献。使用VOSviewer和CiteSpace软件对与国家/地区、作者、期刊、参考文献和关键词相关的出版物进行文献计量和可视化分析。

结果

共检索到311篇文献,筛选后得到229篇合格文献,包括209篇文章和20篇综述。年度出版物呈上升趋势,而被引频次总体呈下降趋势。值得注意的是,中国的出版物数量最多(n = 175)。田捷和董迪各发表了13篇论文,张B是被共同引用最多的作者。《肿瘤前沿》发表的文章最多(n = 25),《国际放射肿瘤学·生物学·物理学杂志》的被引次数最高(n = 331)。中山大学在机构出版物方面领先(n = 39)。鼻咽癌的放射组学研究集中在生存预测、纹理分析和远处转移,并可能指导未来的研究方向。

结论

文献计量分析表明,放射组学在鼻咽癌中的应用逐年增加。放射组学提高了鼻咽癌术前诊断、预测和预后的准确性。文献计量学研究结果为放射组学研究趋势提供了见解。然而,创建广泛的鼻咽癌数据集以及弥合研究与临床之间的差距面临重大挑战。未来的研究应聚焦于这些领域以推动发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d1f/11975905/2138e687240f/fonc-15-1506778-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d1f/11975905/cc1759d4e5b0/fonc-15-1506778-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d1f/11975905/fa1e29f19d14/fonc-15-1506778-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d1f/11975905/cde66c268a59/fonc-15-1506778-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d1f/11975905/0f77d34dc162/fonc-15-1506778-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d1f/11975905/aeceda893dac/fonc-15-1506778-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d1f/11975905/00f5cc30a7da/fonc-15-1506778-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d1f/11975905/87caa0a9fd7d/fonc-15-1506778-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d1f/11975905/2138e687240f/fonc-15-1506778-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d1f/11975905/cc1759d4e5b0/fonc-15-1506778-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d1f/11975905/fa1e29f19d14/fonc-15-1506778-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d1f/11975905/cde66c268a59/fonc-15-1506778-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d1f/11975905/0f77d34dc162/fonc-15-1506778-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d1f/11975905/aeceda893dac/fonc-15-1506778-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d1f/11975905/00f5cc30a7da/fonc-15-1506778-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d1f/11975905/87caa0a9fd7d/fonc-15-1506778-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d1f/11975905/2138e687240f/fonc-15-1506778-g008.jpg

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BMC Cancer. 2024 Jun 11;24(1):720. doi: 10.1186/s12885-024-12480-7.
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Radiomics-based lymph nodes prognostic models from three MRI regions in nasopharyngeal carcinoma.基于影像组学的鼻咽癌三个MRI区域淋巴结预后模型
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