Research on application of radiomics in glioma: a bibliometric and visual analysis

Background With the continuous development of medical imaging informatics technology, radiomics has become a new and evolving field in applications. Radiomics aims to be an aid support clinical decision making by extracting quantitative features from images very wide range The purpose this study was perform bibliometric visual analysis scientific results research trends application glioma. Methods We searched Web Science Core Collection (WOScc) for publications related glioma radiomics. A online countries/regions, authors, journals, references keywords performed using CiteSpace R software. Results total 587 relevant literature published 2012 September 2022 were retrieved WOScc, finally 484 obtained according filtering criteria, including 393 (81.20%) articles 91 (18.80%) reviews. number increases year year. highest USA (171 articles, 35.33%) China (170 35.12%). institution with Chinese Acad Sci (24), followed Univ Penn (22) Fudan (21). WANG Y (27) had most publications, LI (22), J (20). Among 555 co-cited LOUIS DN (207) KICKINGEREDER P cited authors. FRONTIERS IN ONCOLOGY (42) journal NEURO-ONCOLOGY (412) journal. frequent all included glioblastoma (187), survival (136), classification (131), magnetic resonance (113), machine learning (100), tumor (82), feature (79), central nervous system (66), IDH (57), (55). Cluster on basis keyword co-occurrence, 16 clusters formed, indicating that these directions are current hotspots applications may future development. Conclusion In past decade, received much attention been widely used Cooperation communication between countries/regions need enhanced promote medicine. addition, improved accuracy pre-treatment diagnosis, efficacy prediction prognosis assessment helped into precision medicine, still faces many challenges.