Cargando…

Radiomics in Oncology: A 10-Year Bibliometric Analysis

OBJECTIVES: To date, radiomics has been applied in oncology for over a decade and has shown great progress. We used a bibliometric analysis to analyze the publications of radiomics in oncology to clearly illustrate the current situation and future trends and encourage more researchers to participate...

Descripción completa

Detalles Bibliográficos
Autores principales: Ding, Haoran, Wu, Chenzhou, Liao, Nailin, Zhan, Qi, Sun, Weize, Huang, Yingzhao, Jiang, Zhou, Li, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8488302/
https://www.ncbi.nlm.nih.gov/pubmed/34616671
http://dx.doi.org/10.3389/fonc.2021.689802
_version_ 1784578134607134720
author Ding, Haoran
Wu, Chenzhou
Liao, Nailin
Zhan, Qi
Sun, Weize
Huang, Yingzhao
Jiang, Zhou
Li, Yi
author_facet Ding, Haoran
Wu, Chenzhou
Liao, Nailin
Zhan, Qi
Sun, Weize
Huang, Yingzhao
Jiang, Zhou
Li, Yi
author_sort Ding, Haoran
collection PubMed
description OBJECTIVES: To date, radiomics has been applied in oncology for over a decade and has shown great progress. We used a bibliometric analysis to analyze the publications of radiomics in oncology to clearly illustrate the current situation and future trends and encourage more researchers to participate in radiomics research in oncology. METHODS: Publications for radiomics in oncology were downloaded from the Web of Science Core Collection (WoSCC). WoSCC data were collected, and CiteSpace was used for a bibliometric analysis of countries, institutions, journals, authors, keywords, and references pertaining to this field. The state of research and areas of focus were analyzed through burst detection. RESULTS: A total of 7,199 pieces of literature concerning radiomics in oncology were analyzed on CiteSpace. The number of publications has undergone rapid growth and continues to increase. The USA and Chinese Academy of Sciences are found to be the most prolific country and institution, respectively. In terms of journals and co-cited journals, Scientific Reports is ranked highest with respect to the number of publications, and Radiology is ranked highest among co-cited journals. Moreover, Jie Tian has published the most publications, and Phillipe Lambin is the most cited author. A paper published by Gillies et al. presents the highest citation counts. Artificial intelligence (AI), segmentation methods, and the use of radiomics for classification and diagnosis in oncology are major areas of focus in this field. Test-retest statistics, including reproducibility and statistical methods of radiomics research, the relation between genomics and radiomics, and applications of radiomics to sarcoma and intensity-modulated radiotherapy, are frontier areas of this field. CONCLUSION: To our knowledge, this is the first study to provide an overview of the literature related to radiomics in oncology and may inspire researchers from multiple disciplines to engage in radiomics-related research.
format Online
Article
Text
id pubmed-8488302
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-84883022021-10-05 Radiomics in Oncology: A 10-Year Bibliometric Analysis Ding, Haoran Wu, Chenzhou Liao, Nailin Zhan, Qi Sun, Weize Huang, Yingzhao Jiang, Zhou Li, Yi Front Oncol Oncology OBJECTIVES: To date, radiomics has been applied in oncology for over a decade and has shown great progress. We used a bibliometric analysis to analyze the publications of radiomics in oncology to clearly illustrate the current situation and future trends and encourage more researchers to participate in radiomics research in oncology. METHODS: Publications for radiomics in oncology were downloaded from the Web of Science Core Collection (WoSCC). WoSCC data were collected, and CiteSpace was used for a bibliometric analysis of countries, institutions, journals, authors, keywords, and references pertaining to this field. The state of research and areas of focus were analyzed through burst detection. RESULTS: A total of 7,199 pieces of literature concerning radiomics in oncology were analyzed on CiteSpace. The number of publications has undergone rapid growth and continues to increase. The USA and Chinese Academy of Sciences are found to be the most prolific country and institution, respectively. In terms of journals and co-cited journals, Scientific Reports is ranked highest with respect to the number of publications, and Radiology is ranked highest among co-cited journals. Moreover, Jie Tian has published the most publications, and Phillipe Lambin is the most cited author. A paper published by Gillies et al. presents the highest citation counts. Artificial intelligence (AI), segmentation methods, and the use of radiomics for classification and diagnosis in oncology are major areas of focus in this field. Test-retest statistics, including reproducibility and statistical methods of radiomics research, the relation between genomics and radiomics, and applications of radiomics to sarcoma and intensity-modulated radiotherapy, are frontier areas of this field. CONCLUSION: To our knowledge, this is the first study to provide an overview of the literature related to radiomics in oncology and may inspire researchers from multiple disciplines to engage in radiomics-related research. Frontiers Media S.A. 2021-09-20 /pmc/articles/PMC8488302/ /pubmed/34616671 http://dx.doi.org/10.3389/fonc.2021.689802 Text en Copyright © 2021 Ding, Wu, Liao, Zhan, Sun, Huang, Jiang and Li https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Ding, Haoran
Wu, Chenzhou
Liao, Nailin
Zhan, Qi
Sun, Weize
Huang, Yingzhao
Jiang, Zhou
Li, Yi
Radiomics in Oncology: A 10-Year Bibliometric Analysis
title Radiomics in Oncology: A 10-Year Bibliometric Analysis
title_full Radiomics in Oncology: A 10-Year Bibliometric Analysis
title_fullStr Radiomics in Oncology: A 10-Year Bibliometric Analysis
title_full_unstemmed Radiomics in Oncology: A 10-Year Bibliometric Analysis
title_short Radiomics in Oncology: A 10-Year Bibliometric Analysis
title_sort radiomics in oncology: a 10-year bibliometric analysis
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8488302/
https://www.ncbi.nlm.nih.gov/pubmed/34616671
http://dx.doi.org/10.3389/fonc.2021.689802
work_keys_str_mv AT dinghaoran radiomicsinoncologya10yearbibliometricanalysis
AT wuchenzhou radiomicsinoncologya10yearbibliometricanalysis
AT liaonailin radiomicsinoncologya10yearbibliometricanalysis
AT zhanqi radiomicsinoncologya10yearbibliometricanalysis
AT sunweize radiomicsinoncologya10yearbibliometricanalysis
AT huangyingzhao radiomicsinoncologya10yearbibliometricanalysis
AT jiangzhou radiomicsinoncologya10yearbibliometricanalysis
AT liyi radiomicsinoncologya10yearbibliometricanalysis