Research progress on delta radiomics in the diagnosis and treatment of oncological diseases
10.13491/j.issn.1004-714X.2025.06.025
- VernacularTitle:Delta影像组学在肿瘤疾病诊疗中的研究进展
- Author:
Kaiwen ZHOU
1
;
Tianming LI
2
;
Zhenjiang LI
3
;
Yong YIN
3
Author Information
1. Department of Graduate, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China;Department of Radiation Physics Technology , Shandong Cancer Hospital and Institute , Shandong First Medical University and Shandong Academy of Medical Science , Jinan 250117, China.
2. Department of Medical Imaging, Provincial Hospital of Shandong First Medical University, Jinan 250117, China.
3. Department of Radiation Physics Technology , Shandong Cancer Hospital and Institute , Shandong First Medical University and Shandong Academy of Medical Science , Jinan 250117, China.
- Publication Type:ReviewArticles
- Keywords:
Delta radiomics;
Oncology;
Disease diagnosis, Disease treatment
- From:
Chinese Journal of Radiological Health
2025;34(6):936-942
- CountryChina
- Language:Chinese
-
Abstract:
Radiomics can provide a large number of features derived from medical images, which can be correlated with certain biological characteristics and clinical endpoints. Delta radiomics enables the analysis of feature changes across different acquisition time points, typically before and after treatment. Compared with traditional radiomics, delta radiomics allows the evaluation of changes in radiomic features at different time points to better guide clinical diagnosis and treatment, thereby facilitating the development of personalized treatment plans for patients. Delta radiomics offers certain advantages in the differential diagnosis, prognosis prediction, treatment response assessment, and side effect evaluation of oncological diseases. This article reviews the applications of delta radiomics in the diagnosis and treatment of head and neck tumors, lung cancer, gastrointestinal tumors, pancreatic cancer, prostate cancer, breast cancer, and soft tissue tumors.
