| 刘高杰,孙晓南,李永武,等.影像组学在个体化放疗中的应用[J].中华放射医学与防护杂志,2025,45(6):585-590.Liu Gaojie,Sun Xiaonan,Li Yongwu,et al.Applications of radiomics in personalized radiotherapy[J].Chin J Radiol Med Prot,2025,45(6):585-590 |
| 影像组学在个体化放疗中的应用 |
| Applications of radiomics in personalized radiotherapy |
| 投稿时间：2024-06-25 |
| DOI：10.3760/cma.j.cn112271-20240625-00240 |
| 中文关键词: 影像组学 个体化放疗 特征 |
| 英文关键词:Radiomics Personalized radiotherapy Feature |
| 基金项目: |
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| 摘要点击次数: 5 |
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| 中文摘要: |
| 影像组学是一种非侵入性定量图像分析方法,旨在将高通量的定量影像组学特征与临床和生物学终点联系起来,可以在放疗过程中的各个阶段,通过不同类型的图像全面、多次、无创地评估肿瘤。影像组学结合机器学习统计方法,在个体化靶区勾画、预测局部复发与放射损伤、评估远处转移风险、预测肿瘤运动、自适应放疗(ART)以及多组学分析方面都取得了一定的进展,为个体化的肿瘤放疗提供了更多的可能。本文简要介绍影像组学方法在个体化放疗中的应用。 |
| 英文摘要: |
| 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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