Exploring the evolving landscape of radiomics in lung cancer: a comprehensive bibliometric analysis [2008–2024]
This bibliometric study highlights radiomics' growing impact on lung cancer research, emphasizing diagnostic imaging, and personalized medicine. Future research should center on standardizing methodologies and prediction models, and integrating multi-modal data to enhance diagnostics, treatment planning, and personalized care.
Authors
- Qing Zhang (ORCID: https://orcid.org/0000-0002-5652-4036)
- Xing Tang (ORCID: https://orcid.org/0000-0001-5313-9901)
- Guoyan Bai (ORCID: https://orcid.org/0009-0007-5940-5028)
- Jing Shen (ORCID: https://orcid.org/0000-0002-4566-5925)
- Jianlin Wu (ORCID: https://orcid.org/0000-0002-7836-5427)
Institutions
- Shanxi Medical University (CN)
- Xijing Hospital (CN)
- Shanxi Provincial People’s Hospital (CN)
- Air Force Medical University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-11-25
- DOI
- https://doi.org/10.21037/qims-2025-1155
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00