Radiomics in Oncology: A 10-Year Bibliometric Analysis

Haoran Ding; Chenzhou Wu; Nailin Liao; Qi Zhan; Weize Sun; Yingzhao Huang; Zhou Jiang; Yi Li

doi:10.3389/fonc.2021.689802

Radiomics in Oncology: A 10-Year Bibliometric Analysis

Front Oncol. 2021 Sep 20:11:689802. doi: 10.3389/fonc.2021.689802. eCollection 2021.

Authors

Haoran Ding¹, Chenzhou Wu¹, Nailin Liao¹, Qi Zhan¹, Weize Sun¹, Yingzhao Huang¹, Zhou Jiang¹, Yi Li¹

Affiliation

¹ State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Head and Neck Oncology Surgery, West China Hospital of Stomatology, Sichuan University, Chengdu, China.

Abstract

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.

Keywords: bibliometric analysis; hotspots; oncology; radiomics; trends.