| Liu Gaojie,Sun Xiaonan,Li Yongwu,et al.Applications of radiomics in personalized radiotherapy[J].Chinese Journal of Radiological Medicine and Protection,2025,45(6):585-590 |
| Applications of radiomics in personalized radiotherapy |
| Received:June 25, 2024 |
| DOI：10.3760/cma.j.cn112271-20240625-00240 |
| KeyWords:Radiomics Personalized radiotherapy Feature |
| FundProject: |
| Author Name | Affiliation | E-mail | | Liu Gaojie | Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China | | | Sun Xiaonan | Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China | sunxiaonan@zju.edu.cn | | Li Yongwu | Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China | | | Zhou Qiong | Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China | |
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| Abstract:: |
| Radiomics represents a non-invasive, quantitative image analysis method, aimed at correlating high-throughput quantitative radiomics features with clinical and biological endpoints. This method enables comprehensive, multiple, and non-invasive tumor assessment based on different types of images in various stages of radiotherapy. Advancements have been made in the applications of radiomics combined with machine learning-based statistical method in multiple fields including individualized target delineation, the prediction of local recurrence and radiation-induced injuries, the assessment of distant metastasis risks, the prediction of tumor motion, adaptive radiotherapy (ART), and multi-omics analysis. These advancements provide more possibilities for personalized radiotherapy. This study presents a brief introduction to the applications of radiomics in personalized radiotherapy. |
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