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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
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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本文引用的文献

[1]
Research progress on artificial intelligence technology-assisted diagnosis of thyroid diseases.

Front Oncol. 2025-2-20

[2]
Practical Approach to Computed Tomography Guided Online Adaptive Radiation Therapy for Abdominopelvic Tumors.

Pract Radiat Oncol. 2025

[3]
Global, regional and national burdens of Nasopharynx cancer in the adolescents and young adults from 1990 to 2019 and its predictions.

BMC Cancer. 2024-6-11

[4]
Radiomics-based lymph nodes prognostic models from three MRI regions in nasopharyngeal carcinoma.

Heliyon. 2024-5-18

[5]
Radiomic signatures associated with tumor immune heterogeneity predict survival in locally recurrent nasopharyngeal carcinoma.

J Natl Cancer Inst. 2024-8-1

[6]
Magnetic resonance imaging based on radiomics for differentiating T1-category nasopharyngeal carcinoma from nasopharyngeal lymphoid hyperplasia: a multicenter study.

Jpn J Radiol. 2024-7

[7]
Multimodality radiomics for tumor prognosis in nasopharyngeal carcinoma.

PLoS One. 2024

[8]
Comprehensive integrated analysis of MR and DCE-MR radiomics models for prognostic prediction in nasopharyngeal carcinoma.

Vis Comput Ind Biomed Art. 2023-12-1

[9]
Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued.

Cancer Imaging. 2023-2-9

[10]
Dynamic contrast-enhanced magnetic resonance imaging-based radiomics for the prediction of progression-free survival in advanced nasopharyngeal carcinoma.

Front Oncol. 2022-10-13

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