Applications of radiomics in personalized radiotherapy
10.3760/cma.j.cn112271-20240625-00240
- VernacularTitle:影像组学在个体化放疗中的应用
- Author:
Gaojie LIU
1
;
Xiaonan SUN
1
;
Yongwu LI
1
;
Qiong ZHOU
1
Author Information
1. 浙江大学医学院附属邵逸夫医院肿瘤放疗科，杭州 310016
- Publication Type:Journal Article
- Keywords:
Radiomics;
Personalized radiotherapy;
Feature
- From:
Chinese Journal of Radiological Medicine and Protection
2025;45(6):585-590
- CountryChina
- Language:Chinese
-
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.
